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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Environ Health Perspect</journal-id><journal-id journal-id-type="iso-abbrev">Environ. Health Perspect</journal-id><journal-id journal-id-type="publisher-id">EHP</journal-id><journal-title-group><journal-title>Environmental Health Perspectives</journal-title></journal-title-group><issn pub-type="ppub">0091-6765</issn><issn pub-type="epub">1552-9924</issn><publisher><publisher-name>Environmental Health Perspectives</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">31944143</article-id><article-id pub-id-type="pmc">7015629</article-id><article-id pub-id-type="publisher-id">EHP5925</article-id><article-id pub-id-type="doi">10.1289/EHP5925</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>Blood Lead Levels in U.S. Women of Childbearing Age, 1976&#x02013;2016</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Ettinger</surname><given-names>Adrienne S.</given-names></name><xref ref-type="aff" rid="a1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Egan</surname><given-names>Kathryn B.</given-names></name><xref ref-type="aff" rid="a1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Homa</surname><given-names>David M.</given-names></name><xref ref-type="aff" rid="a2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Brown</surname><given-names>Mary Jean</given-names></name><xref ref-type="aff" rid="a3"><sup>3</sup></xref></contrib><aff id="a1">
<label>1</label>Lead Poisoning Prevention and Environmental Health Tracking Branch, Division of Environmental Health Science and Practice, <institution>National Center for Environmental Health, Centers for Disease Control and Prevention</institution>, Atlanta, Georgia, <country>USA</country></aff><aff id="a2">
<label>2</label>Office on Smoking and Health, <institution>National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention</institution>, Atlanta, Georgia, <country>USA</country></aff><aff id="a3">
<label>3</label>Department of Social and Behavioral Sciences, <institution>Harvard T.H. Chan School of Public Health</institution>, Boston, Massachusetts, <country>USA</country></aff></contrib-group><author-notes><corresp id="cor1">Address correspondence to Adrienne S. Ettinger, 4770 Buford Hwy, NE Mailstop S106-5, Atlanta, GA 30341 USA. Telephone: (770) 488-7492. Email: <email>aettinger@cdc.gov</email></corresp></author-notes><pub-date pub-type="epub"><day>16</day><month>1</month><year>2020</year></pub-date><pub-date pub-type="collection"><month>1</month><year>2020</year></pub-date><volume>128</volume><issue>1</issue><elocation-id>017012</elocation-id><history><date date-type="received"><day>22</day><month>7</month><year>2019</year></date><date date-type="rev-recd"><day>05</day><month>11</month><year>2019</year></date><date date-type="accepted"><day>03</day><month>12</month><year>2019</year></date></history><permissions><license license-type="open-access"><license-p><italic>EHP</italic> is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="ehp-128-017012.pdf"/><abstract><sec><title>Background:</title><p>Lead can adversely affect maternal and child health across a wide range of exposures; developing fetuses and breastfeeding infants may be particularly vulnerable. We describe the distribution of blood lead levels (BLLs) in U.S. women of childbearing age and associations with sociodemographic, reproductive, smoking, and housing characteristics over a 40-y period.</p></sec><sec><title>Methods:</title><p>Data from the National Health and Nutrition Examination Survey (NHANES) II, NHANES III Phase I and Phase II, and 1999&#x02013;2016 continuous NHANES were used to describe the distribution of BLLs (given in micrograms per deciliter; <inline-formula><mml:math id="m1"><mml:mrow><mml:mn>1</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext><mml:mo>=</mml:mo><mml:mn>0.0483</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mtext>mol</mml:mtext><mml:mo>/</mml:mo><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>) in U.S. women 15&#x02013;49 years of age between 1976 and 2016. For all women with valid BLLs (<inline-formula><mml:math id="m2"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>22,408</mml:mn></mml:mrow></mml:math></inline-formula>), geometric mean (GM) BLLs and estimated prevalence of BLLs <inline-formula><mml:math id="m3"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> were calculated overall and by selected demographic characteristics. For NHANES II, estimated prevalence of BLLs <inline-formula><mml:math id="m4"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="m5"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>20</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> were also calculated.</p></sec><sec><title>Results:</title><p>The most recent GM BLLs (2007&#x02013;2010 and 2011&#x02013;2016, respectively) were <inline-formula><mml:math id="m6"><mml:mrow><mml:mn>0.81</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [95% confidence interval (CI): 0.79, 0.84] and <inline-formula><mml:math id="m7"><mml:mrow><mml:mn>0.61</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.59, 0.64). In comparison, GM BLLs in earlier periods (1976&#x02013;1980, 1988&#x02013;1991, and 1991&#x02013;1994) were <inline-formula><mml:math id="m8"><mml:mrow><mml:mn>10.37</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 9.95, 10.79), <inline-formula><mml:math id="m9"><mml:mrow><mml:mn>1.85</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 1.75, 1.94), and <inline-formula><mml:math id="m10"><mml:mrow><mml:mn>1.53</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 1.45, 1.60), respectively. In 2011&#x02013;2016, 0.7% of women of childbearing age had BLLs <inline-formula><mml:math id="m11"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>, and higher BLLs were associated with older age, other race/ethnicity, birthplace outside the United States, four or more live births, exposure to secondhand tobacco smoke, and ever pregnant or not currently pregnant.</p></sec><sec><title>Discussion:</title><p>Lead exposure in U.S. women of childbearing age is generally low and has substantially decreased over this 40-y period. However, based on these estimates, there are still at least 500,000 U.S. women being exposed to lead at levels that may harm developing fetuses or breastfeeding infants. Identifying high-risk women who are or intend to become pregnant remains an important public health issue. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1289/EHP5925">https://doi.org/10.1289/EHP5925</ext-link></p></sec></abstract></article-meta></front><body><sec id="s1"><title>Introduction</title><p>Despite overall declines in environmental sources, lead exposure remains an important public health problem for certain groups, including women of childbearing age, due to the potential exposure to the developing fetus and breastfeeding infant (<xref rid="c22" ref-type="bibr">CDC 2010</xref>). Women of childbearing age (15&#x02013;49 y old) represent 23% of the total U.S. population and 46% of females (<xref rid="c61" ref-type="bibr">U.S. Census Bureau 2017</xref>), and, at any given time, about 9% are pregnant (<xref rid="c17" ref-type="bibr">Crocetti et&#x000a0;al. 1990</xref>). Lead readily crosses the placenta by passive diffusion, and fetal blood lead concentrations are highly correlated with maternal blood lead concentrations (<xref rid="c27" ref-type="bibr">Goyer 1990</xref>). Prenatal lead exposure has known influences on maternal health, infant birth, and neurodevelopmental outcomes across a wide range of exposure levels (<xref rid="c4" ref-type="bibr">Bellinger 2005</xref>). No safe level of exposure to lead in children has been identified, and toxic effects of lead have been identified even at lower levels of exposure than previously considered harmful (<xref rid="c45" ref-type="bibr">NTP 2012</xref>). In addition, declines in environmental sources of lead highlight maternal bone as a continuing endogenous source of exposure (<xref rid="c35" ref-type="bibr">Hu and Hernandez-Avila 2002</xref>). Bone lead stores are mobilized during periods of increased bone turnover, such as during pregnancy and lactation (<xref rid="c32" ref-type="bibr">Gulson et&#x000a0;al. 2016b</xref>, <xref rid="c30" ref-type="bibr">2003</xref>), and lead is released into maternal blood and breastmilk (<xref rid="c21" ref-type="bibr">Ettinger et&#x000a0;al. 2014</xref>; <xref rid="c31" ref-type="bibr">Gulson et&#x000a0;al. 2016a</xref>). Since cumulative bone lead stores persist for years to decades, women and their infants may be at risk for lead exposure long after environmental sources have been abated.</p><p>In general, U.S. population lead exposures, which are estimated by blood lead levels (BLLs) measured in the National Health and Nutrition Examination Survey (NHANES), have declined over time (<xref rid="c52" ref-type="bibr">Raymond et&#x000a0;al. 2014</xref>). This is due, in large part, to successful policies aimed at controlling sources of lead in the environment, including removal of lead from gasoline, paint, plumbing fixtures, and consumer products (<xref rid="c6" ref-type="bibr">Brown and Margolis 2012</xref>). However, numerous lead hazards still exist, including deteriorating lead-based paint and dust in housing built before the 1978 ban on lead in residential paint, as well as from drinking water provided by pipes made from lead, lead solder, and plumbing fixtures containing lead. Occupational and take-home exposures from workers or household members exposed to lead in the workplace remain an important preventable source of lead exposure, as occupational exposure accounts for over 90% of known lead exposure among adults (<xref rid="c2" ref-type="bibr">Alarcon 2016</xref>). Other preventable sources of lead exposure include soil, traditional/folk medicines, fishing sinkers, bullets, materials used to make ceramics and stained glass (<xref rid="c2" ref-type="bibr">Alarcon 2016</xref>), and consumer products, including certain foods, spices, medicines, cosmetics, and vitamins (<xref rid="c48" ref-type="bibr">Pfadenhauer et&#x000a0;al. 2016</xref>).</p><p>Little is known about the full extent of lead exposure among U.S. women of childbearing age and, more importantly, among pregnant and lactating women who may pass lead to their unborn baby or breastfeeding infant, since adult women are not routinely tested (<xref rid="c22" ref-type="bibr">CDC 2010</xref>). Some population subgroups may be highly exposed, particularly foreign-born recent immigrants (<xref rid="c28" ref-type="bibr">Graber et&#x000a0;al. 2006</xref>; <xref rid="c41" ref-type="bibr">Klitzman et&#x000a0;al. 2002</xref>; <xref rid="c47" ref-type="bibr">Pezzi et&#x000a0;al. 2019</xref>), workers in several high-risk occupations (<xref rid="c2" ref-type="bibr">Alarcon 2016</xref>; <xref rid="c9" ref-type="bibr">CDC 2007</xref>), and those practicing high-risk behaviors, such as pica of lead-contaminated objects, smoking or exposure to secondhand smoke, or renovation of older homes (<xref rid="c22" ref-type="bibr">CDC 2010</xref>; <xref rid="c53" ref-type="bibr">Richter et&#x000a0;al. 2013</xref>; <xref rid="c60" ref-type="bibr">Thihalolipavan et&#x000a0;al. 2013</xref>). Women living near hazardous waste sites or active smelters (<xref rid="c24" ref-type="bibr">Garc&#x000ed;a Vargas et&#x000a0;al. 2001</xref>) and who are residents in countries where leaded gasoline is used or only has recently been phased out may also be exposed to relatively high levels of lead in the environment (<xref rid="c3" ref-type="bibr">Bede-Ojimadu et&#x000a0;al. 2018</xref>; <xref rid="c23" ref-type="bibr">Forsyth et&#x000a0;al. 2018</xref>; <xref rid="c51" ref-type="bibr">Prihartono et&#x000a0;al. 2019</xref>).</p><p>We analyzed 40 y of NHANES data (1976&#x02013;2016) to describe the distribution of BLLs in U.S. women of childbearing age (15&#x02013;49 years of age) and the association with sociodemographic, reproductive, smoking, and housing characteristics.</p></sec><sec id="s2"><title>Methods</title><sec id="s2.1"><title>NHANES Sample Design</title><p>NHANES is a cross-sectional, nationally representative survey designed to monitor the health and nutritional status of the U.S. noninstitutionalized population. Prior to 1999, NHANES was conducted on a periodic basis. The NHANES II and NHANES III Phase I and Phase II survey designs and blood lead components have been described in detail previously (<xref rid="c5" ref-type="bibr">Brody et&#x000a0;al. 1994</xref>; <xref rid="c8" ref-type="bibr">CDC 1985</xref>; <xref rid="c49" ref-type="bibr">Pirkle et&#x000a0;al. 1994</xref>, <xref rid="c50" ref-type="bibr">1998</xref>). Since 1999, NHANES has been a continuous survey conducted every 2 y on an ongoing basis among a representative sample of all ages, as previously described (<xref rid="c14" ref-type="bibr">CDC 2019</xref>). A stratified, multistage probability sampling design is used to select approximately 10,000 participants every 2 y for a personal interview and a standardized physical examination conducted in specially designed and outfitted mobile examination centers. The survey collects information on chronic disease prevalence (including undiagnosed conditions), risk factors, diet and nutritional status, immunization status, infectious disease prevalence, health insurance, and measures of environmental exposures. The household interview includes questions about sociodemographic characteristics, health history, health-related behaviors, and access to health care.</p></sec><sec id="s2.2"><title>Blood Lead Measurements</title><p>During the physical examination, participants 1 year of age and older are eligible for blood lead testing by venipuncture (<xref rid="c46" ref-type="bibr">Paschal et&#x000a0;al. 1995</xref>). Laboratory methods for NHANES II (<xref rid="c8" ref-type="bibr">CDC 1985</xref>), NHANES III (<xref rid="c33" ref-type="bibr">Gunter et&#x000a0;al. 1996</xref>), and NHANES 1999&#x02013;2016 have been described previously (<xref rid="c39" ref-type="bibr">Jones et&#x000a0;al. 2009</xref>). The blood lead detection limit decreased from <inline-formula><mml:math id="m12"><mml:mrow><mml:mn>2.0</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in 1976&#x02013;1980 to <inline-formula><mml:math id="m13"><mml:mrow><mml:mn>0.7</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in 1988&#x02013;1994, to <inline-formula><mml:math id="m14"><mml:mrow><mml:mn>0.3</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in 1999&#x02013;2010, to <inline-formula><mml:math id="m15"><mml:mrow><mml:mn>0.25</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in 2011&#x02013;2012, and finally to <inline-formula><mml:math id="m16"><mml:mrow><mml:mn>0.07</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in 2013&#x02013;2016 as technology improved. Results below the lower detection limit are imputed by NHANES and replaced with a value equal to the detection limit divided by the square root of 2 (<xref rid="c10" ref-type="bibr">CDC 2009</xref>). Whole-blood specimens were analyzed for lead concentration using inductively coupled argon plasma mass spectrometry with isotope dilution by the Division of Laboratory Sciences at the National Center for Environmental Health of the Centers for Disease Control and Prevention (CDC).</p></sec><sec id="s2.3"><title>Sociodemographic Characteristics</title><p>Age was categorized into 15&#x02013;24 y, 25&#x02013;34 y, 35&#x02013;44 y, and 45&#x02013;49 y for all analysis periods. Race/ethnicity for NHANES II and NHANES III was categorized as non-Hispanic white, non-Hispanic black, and Mexican American. For NHANES III, &#x0201c;other race&#x0201d; was not included due to small sample sizes. For NHANES 1999&#x02013;2016, we reported &#x0201c;other race&#x0201d; and &#x0201c;other Hispanic&#x0201d; in the tables in addition to the three categories mentioned previously. These categories were included in the race/ethnicity survey response choices starting in 1999. Birthplace was categorized as the United States, Mexico, or other.</p><p>Socioeconomic status was assessed using the poverty-to-income ratio (PIR) (calculated as total family income divided by the federal poverty threshold for the year of interview) stratified as <inline-formula><mml:math id="m17"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="m18"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula> to be consistent with government assistance programs that use a PIR of 1.3 to determine eligibility (<xref rid="c50" ref-type="bibr">Pirkle et&#x000a0;al. 1998</xref>). The Medicaid status variable was defined as whether a woman was enrolled in Medicaid at the time of the questionnaire after indicating that she was covered by some health insurance plan.</p></sec><sec id="s2.4"><title>Reproductive Characteristics</title><p>Self-reported reproductive characteristics assessed include: have you ever been pregnant, how many live births have you had, have you ever breastfed, and were you currently pregnant at the time of interview. &#x0201c;Ever breastfed&#x0201d; represents women who reported ever breastfeeding and includes those who reported current breastfeeding. Breastfeeding was not assessed in NHANES II, and it was not consistently assessed between 2011 and 2016.</p></sec><sec id="s2.5"><title>Smoking Characteristics</title><p>Smoking status and secondhand smoke exposure were defined according to the methods of Dietz et&#x000a0;al. (<xref rid="c19" ref-type="bibr">2011</xref>). We analyzed the association between self-reported smoking status (current, former, or never) on BLLs for women 15&#x02013;49 years of age (NHANES III, NHANES II) and for women 20&#x02013;49 years of age (continuous NHANES cycles). Different questions on tobacco use were asked of those women <inline-formula><mml:math id="m19"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>20</mml:mn><mml:mtext>&#x02009; years</mml:mtext></mml:mrow></mml:math></inline-formula> of age for the continuous NHANES (1999&#x02013;2016) cycles, and, therefore, the information is not directly comparable to tobacco use information for women 20&#x02013;49 y old. Additionally, we analyzed the association between self-reported secondhand smoke exposure (yes, no) on BLLs for women 15&#x02013;49 years of age (NHANES III) and for women 20&#x02013;49 years of age (continuous NHANES cycles). Environmental tobacco smoke exposure was not assessed in NHANES II.</p></sec><sec id="s2.6"><title>Housing Age</title><p>Responses for &#x0201c;year housing was built&#x0201d; used different categories for NHANES III and the NHANES 1999&#x02013;2010 cycles. In NHANES III, housing age was reported as pre-1946, 1946&#x02013;1973, 1973 to present, and unknown. From 1999&#x02013;2010, housing age was reported as pre-1950, 1950&#x02013;1977, 1978 to present, and unknown. We defined risk based on the most similar housing age categories; observations for which housing age was unavailable were recorded as unknown. Housing age was not collected in NHANES II or in the 2011&#x02013;2016 survey periods.</p></sec><sec id="s2.7"><title>Statistical Analysis</title><p>This analysis includes data from NHANES II, NHANES III Phase I, NHANES III Phase II, and the 18 y of NHANES data from 1999 to 2016 for women 15&#x02013;49 years of age with valid blood lead measurements. Participants were grouped according to the survey period as follows: NHANES II (1976&#x02013;1980), NHANES III (1988&#x02013;1991), NHANES III (1991&#x02013;1994), NHANES (1999&#x02013;2002), NHANES (2003&#x02013;2006), NHANES (2007&#x02013;2010), and NHANES (2011&#x02013;2016). Using 4-y intervals and a 6-y interval for 2011&#x02013;2016 provided a greater number of women tested and yielded more stable estimates.</p><p>All statistical analyses were completed using SAS (version 9.3; SAS Institute Inc.) and SAS-callable SUDAAN statistical software packages (version 11.0.0; RTI International). All analyses were performed incorporating the sample weights and respecting the complex sample design of NHANES. Pregnancy variables for women 15&#x02013;19 and 45&#x02013;49 years of age and BLLs (NHANES 1999&#x02013;2000 only) are restricted variables. These variables were accessed through the Research Data Center at the National Center for Health Statistics (NCHS). Estimates were produced using the examination sampling weight to represent U.S. adults in order to account for unequal probabilities of selection, oversampling, and survey nonresponse. The sample weights were poststratified to the U.S. population as estimated by the U.S. Bureau of the Census. BLLs were not rounded before statistical analysis.</p><p>We computed actual sample size, geometric mean (GM) BLL, and the estimated prevalence of women with BLLs <inline-formula><mml:math id="m20"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> for each NHANES survey period and by select sociodemographic, reproductive, and housing characteristics. Formal statistical testing for significant BLL differences for each variable of interest was not completed. Potential differences in variables are noted for nonoverlapping confidence intervals (CIs). For NHANES II, the estimated prevalence of women with BLLs <inline-formula><mml:math id="m21"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="m22"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>20</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> also were calculated. Although there is no safe BLL for women of childbearing age, the use of dichotomous BLL thresholds is advantageous for assessing trends over time. These cut points may be more easily understood than statistically derived cut points such as quartiles. NCHS Data Standards include criteria for evaluating estimated means based on the relative standard error (RSE) (<xref rid="c11" ref-type="bibr">CDC 2018a</xref>). According to these criteria, prevalence estimates were considered statistically unreliable if the RSE of the estimate (expressed as a percent) was greater than 30% and results from sample sizes less than five were suppressed.</p></sec></sec><sec id="s3"><title>Results</title><p><xref rid="t1" ref-type="table">Table 1</xref> shows the sample size by NHANES period for all women 15&#x02013;49 years of age, all women 15&#x02013;49 years of age with available BLLs, women with BLLs <inline-formula><mml:math id="m23"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>, and all women 15&#x02013;49 years of age with available BLLs and current pregnancy status. Approximately 4.5&#x02013;16.5% of women 15&#x02013;49 years of age with complete blood lead data were currently pregnant at the time of survey for each of the survey periods. <xref ref-type="fig" rid="f1">Figure 1</xref> shows the shift in distribution of BLLs among U.S. women of childbearing age over the 40-y period from 1976 to 2016.</p><table-wrap id="t1" orientation="portrait" position="float"><label>Table 1</label><caption><p>Blood lead levels (BLLs) and pregnancy status among U.S. women 15&#x02013;49 years of age by the National Health and Nutrition Examination Survey (NHANES) survey period from 1976 to 2016.</p></caption><alt-text>Table 1 has seven columns, namely, survey cycle; years; all women age (15 to 49 years) N; total N percentage; BLL greater than or equal to 5 micrograms per deciliter N percentage; total N percentage; and pregnant N percentage. Columns 4 and 5 are for women age 15 to 49 years with data available on BLL. Columns 6 and 7 are for women age 15 to 49 years with data available on BLL and current pregnancy status.</alt-text><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" rowspan="2" id="t1c1" scope="col" colspan="1">Survey cycle</th><th align="center" rowspan="2" id="t1c2" scope="col" colspan="1">Years</th><th align="center" rowspan="2" id="t1c3" scope="col" colspan="1">All women 15&#x02013;49 years of age (<inline-formula><mml:math id="m24"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>)</th><th colspan="2" align="center" id="t1c4" scope="colgroup" rowspan="1">Women 15&#x02013;49 years of age with data available on BLLs</th><th colspan="2" align="center" id="t1c5" scope="colgroup" rowspan="1">Women 15&#x02013;49 years of age with data available on BLLs and current pregnancy status</th></tr><tr><th align="center" id="t1c6" scope="col" headers="t1c4" rowspan="1" colspan="1">Total [<inline-formula><mml:math id="m25"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> (%)]<xref ref-type="table-fn" rid="TF2"><sup><italic>a</italic></sup></xref></th><th align="center" id="t1c7" scope="col" headers="t1c4" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m26"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [<inline-formula><mml:math id="m27"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> (%)]<xref ref-type="table-fn" rid="TF3"><sup><italic>b</italic></sup></xref></th><th align="center" id="t1c8" scope="colgroup" headers="t1c4" rowspan="1" colspan="1">Total [<inline-formula><mml:math id="m28"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> (%)]<xref ref-type="table-fn" rid="TF4"><sup><italic>c</italic></sup></xref></th><th align="center" id="t1c9" scope="col" headers="t1c5" rowspan="1" colspan="1">Pregnant [<inline-formula><mml:math id="m29"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> (%)]<xref ref-type="table-fn" rid="TF4"><sup><italic>c</italic></sup></xref></th></tr></thead><tbody valign="top"><tr><td align="left" id="t1c10" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES II</td><td align="center" headers="t1c2 t1c10" rowspan="1" colspan="1">1976&#x02013;1980</td><td align="char" char="." headers="t1c3 t1c10" rowspan="1" colspan="1">4,892</td><td align="char" char="(" headers="t1c4 t1c6 t1c10" rowspan="1" colspan="1">1,820 (37.2)</td><td align="char" char="(" headers="t1c4 t1c7 t1c10" rowspan="1" colspan="1">1,791 (98.4)</td><td align="char" char="(" headers="t1c4 t1c8 t1c10" rowspan="1" colspan="1">1,146 (63.0)</td><td align="char" char="(" headers="t1c5 t1c9 t1c10" rowspan="1" colspan="1">59 (5.1)</td></tr><tr><td align="left" id="t1c11" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES III</td><td align="center" headers="t1c2 t1c11" rowspan="1" colspan="1">1988&#x02013;1991</td><td align="char" char="." headers="t1c3 t1c11" rowspan="1" colspan="1">2,993</td><td align="char" char="(" headers="t1c4 t1c6 t1c11" rowspan="1" colspan="1">2,616 (87.4)</td><td align="char" char="(" headers="t1c4 t1c7 t1c11" rowspan="1" colspan="1">268 (10.2)</td><td align="char" char="(" headers="t1c4 t1c8 t1c11" rowspan="1" colspan="1">2,250 (86.1)</td><td align="char" char="(" headers="t1c5 t1c9 t1c11" rowspan="1" colspan="1">154 (6.8)</td></tr><tr><td align="left" id="t1c12" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES III</td><td align="center" headers="t1c2 t1c12" rowspan="1" colspan="1">1991&#x02013;1994</td><td align="char" char="." headers="t1c3 t1c12" rowspan="1" colspan="1">3,527</td><td align="char" char="(" headers="t1c4 t1c6 t1c12" rowspan="1" colspan="1">3,201 (90.8)</td><td align="char" char="(" headers="t1c4 t1c7 t1c12" rowspan="1" colspan="1">167 (5.2)</td><td align="char" char="(" headers="t1c4 t1c8 t1c12" rowspan="1" colspan="1">2,812 (87.8)</td><td align="char" char="(" headers="t1c5 t1c9 t1c12" rowspan="1" colspan="1">172 (6.1)</td></tr><tr><td align="left" id="t1c13" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES</td><td align="center" headers="t1c2 t1c13" rowspan="1" colspan="1">1999&#x02013;2002</td><td align="char" char="." headers="t1c3 t1c13" rowspan="1" colspan="1">4,384</td><td align="char" char="(" headers="t1c4 t1c6 t1c13" rowspan="1" colspan="1">3,914 (89.3)</td><td align="char" char="(" headers="t1c4 t1c7 t1c13" rowspan="1" colspan="1">54 (1.4)</td><td align="char" char="(" headers="t1c4 t1c8 t1c13" rowspan="1" colspan="1">3,545 (90.6)</td><td align="char" char="(" headers="t1c5 t1c9 t1c13" rowspan="1" colspan="1">585 (16.5)</td></tr><tr><td align="left" id="t1c14" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES</td><td align="center" headers="t1c2 t1c14" rowspan="1" colspan="1">2003&#x02013;2006</td><td align="char" char="." headers="t1c3 t1c14" rowspan="1" colspan="1">4,251</td><td align="char" char="(" headers="t1c4 t1c6 t1c14" rowspan="1" colspan="1">3,830 (90.1)</td><td align="char" char="(" headers="t1c4 t1c7 t1c14" rowspan="1" colspan="1">35 (0.9)</td><td align="char" char="(" headers="t1c4 t1c8 t1c14" rowspan="1" colspan="1">3,830 (100.0)</td><td align="char" char="(" headers="t1c5 t1c9 t1c14" rowspan="1" colspan="1">608 (15.9)</td></tr><tr><td align="left" id="t1c15" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES</td><td align="center" headers="t1c2 t1c15" rowspan="1" colspan="1">2007&#x02013;2010</td><td align="char" char="." headers="t1c3 t1c15" rowspan="1" colspan="1">3,889</td><td align="char" char="(" headers="t1c4 t1c6 t1c15" rowspan="1" colspan="1">3,577 (91.9)</td><td align="char" char="(" headers="t1c4 t1c7 t1c15" rowspan="1" colspan="1">13 (0.4)</td><td align="char" char="(" headers="t1c4 t1c8 t1c15" rowspan="1" colspan="1">2,422 (67.7)</td><td align="char" char="(" headers="t1c5 t1c9 t1c15" rowspan="1" colspan="1">115 (4.7)</td></tr><tr><td align="left" id="t1c16" scope="row" headers="t1c1" rowspan="1" colspan="1">NHANES</td><td align="center" headers="t1c2 t1c16" rowspan="1" colspan="1">2011&#x02013;2016</td><td align="char" char="." headers="t1c3 t1c16" rowspan="1" colspan="1">5,750</td><td align="char" char="(" headers="t1c4 t1c6 t1c16" rowspan="1" colspan="1">3,450 (60.0)</td><td align="char" char="(" headers="t1c4 t1c7 t1c16" rowspan="1" colspan="1">25 (0.7)</td><td align="char" char="(" headers="t1c4 t1c8 t1c16" rowspan="1" colspan="1">2,284 (66.2)</td><td align="char" char="(" headers="t1c5 t1c9 t1c16" rowspan="1" colspan="1">103 (4.5)</td></tr></tbody></table><table-wrap-foot><fn id="TF1"><p>Note: BLL, blood lead level; <inline-formula><mml:math id="m30"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>, sample size, where <inline-formula><mml:math id="m31"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> is the number of participants, not a weighted population estimate.</p></fn><fn id="TF2"><label>a</label><p>Unweighted percentage of all women 15&#x02013;49 years of age.</p></fn><fn id="TF3"><label>b</label><p>Unweighted percentage of women 15&#x02013;49 years of age with data available on BLL.</p></fn><fn id="TF4"><label>c</label><p>Unweighted percentage of women 15&#x02013;49 years of age with data available on BLL and current pregnancy status.</p></fn></table-wrap-foot></table-wrap><fig id="f1" orientation="portrait" position="float"><label>Figure 1.</label><caption><p>(A) Distribution of blood lead levels among U.S. women 15&#x02013;49 years of age by National Health and Nutrition Examination Survey (NHANES) survey period 1976&#x02013;2016; the peak of the curve corresponds to the median (50th percentile) of blood lead level distribution. (B) Distribution of blood lead levels among U.S. women 15&#x02013;49 years of age by the NHANES survey period from 1976 to 2016, plotted on log scale.</p></caption><alt-text>Figure 1A is graph, plotting percentile, ranging from 0 to 50, in increments of 5 (y-axis) for NHANES 2011 to 2016, NHANES 2007 to 2010, NHANES 2003 to 2006, NHANES 1999 TO 2002, NHANES 3 1991 to 1994, NHANES 3 1988 to 1991, and NHANES 2 1976 to 1980 across blood lead level, ranging from 0 to 30 micrograms per deciliter, in increments of 5 (x-axis). Figure 1B is a graph, plotting percentile, ranging from 0 to 50, in increments of 5 (y-axis) for NHANES 2011 to 2016, NHANES 2007 to 2010, NHANES 2003 to 2006, NHANES 1999 to 2002, NHANES 3 1991 to 1994, NHANES 3 1988 to 1991, and NHANES 2 1976 to 1980 across blood lead level, ranging from 0.1 to 100 micrograms per deciliter (x-axis).</alt-text><graphic xlink:href="ehp-128-017012-g001"/></fig><p>BLLs were highest among women 15&#x02013;49 years of age in NHANES II (1976&#x02013;1980). During this period, the GM BLL was <inline-formula><mml:math id="m32"><mml:mrow><mml:mn>10.37</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 9.95, 10.79), and 98.3% of women of childbearing age had BLLs <inline-formula><mml:math id="m33"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 97.1, 99.2), 61.4% had BLLs <inline-formula><mml:math id="m34"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 55.8, 66.8), and 3.6% had BLLs <inline-formula><mml:math id="m35"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>20</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 2.1, 5.5) (<xref rid="t2" ref-type="table">Table 2</xref>).</p><table-wrap id="t2" orientation="portrait" position="float"><label>Table 2</label><caption><p>Geometric means (GM) [95% confidence interval (CI)] and estimated prevalence (95% CI) of blood lead levels (BLLs) <inline-formula><mml:math id="m36"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="m37"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="m38"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>20</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> among U.S. women 15&#x02013;49 years of age for selected characteristics in National Health and Nutrition Examination Survey (NHANES) II, 1976&#x02013;1980.</p></caption><alt-text>Table 2 has six columns. The first column lists survey cycle, years, variable. The adjacent columns list N values, GM 95 percent CI, BLL percent greater than or equal to 5 micrograms per deciliter (95 percent CI), BLL percent greater than or equal to 10 micrograms per deciliter (95 percent CI), BLL percent greater than or equal to 20 micrograms per deciliter (95 percent CI). Columns 4 to 6 are commonly titled NHANES 2 (1976 to 1980).</alt-text><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" id="t2c1" scope="col" rowspan="1" colspan="1"/><th colspan="5" align="center" id="t2c2" scope="colgroup" rowspan="1">NHANES II, 1976&#x02013;1980</th></tr><tr><th align="left" id="t2c3" scope="col" headers="t2c1" rowspan="1" colspan="1">Variable<xref ref-type="table-fn" rid="TF6"><sup><italic>a</italic></sup></xref></th><th align="center" id="t2c4" scope="col" headers="t2c2" rowspan="1" colspan="1"><inline-formula><mml:math id="m39"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t2c5" scope="col" headers="t2c2" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t2c6" scope="col" headers="t2c2" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m40"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>[% (95% CI)]</th><th align="center" id="t2c7" scope="col" headers="t2c2" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m41"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>[% (95% CI)]</th><th align="center" id="t2c8" scope="col" headers="t2c2" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m42"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>20</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>[% (95% CI)]</th></tr></thead><tbody valign="top"><tr><td align="left" id="t2c9" scope="row" headers="t2c1 t2c3" rowspan="1" colspan="1">Overall</td><td align="char" char="." headers="t2c2 t2c4 t2c9" rowspan="1" colspan="1">1,820</td><td align="char" char="(" headers="t2c2 t2c5 t2c9" rowspan="1" colspan="1">10.37 (9.95, 10.79)</td><td align="char" char="(" headers="t2c2 t2c6 t2c9" rowspan="1" colspan="1">98.3 (97.1, 99.2)</td><td align="char" char="(" headers="t2c2 t2c7 t2c9" rowspan="1" colspan="1">61.4 (55.8, 66.8)</td><td align="char" char="(" headers="t2c2 t2c8 t2c9" rowspan="1" colspan="1">3.6 (2.1, 5.5)</td></tr><tr><th colspan="6" align="left" id="t2c10" scope="row" headers="t2c1 t2c3" rowspan="1">Age (y)</th></tr><tr><td align="left" id="t2c11" scope="row" headers="t2c1 t2c3 t2c10" rowspan="1" colspan="1">&#x02002;15&#x02013;24</td><td align="char" char="." headers="t2c2 t2c4 t2c11" rowspan="1" colspan="1">692</td><td align="char" char="(" headers="t2c2 t2c5 t2c11" rowspan="1" colspan="1">9.88 (9.37, 10.39)</td><td align="char" char="(" headers="t2c2 t2c6 t2c11" rowspan="1" colspan="1">97.9 (95.9, 99.2)</td><td align="char" char="(" headers="t2c2 t2c7 t2c11" rowspan="1" colspan="1">56.3 (48.6, 63.9)</td><td align="char" char="(" headers="t2c2 t2c8 t2c11" rowspan="1" colspan="1">1.5 (0.5, 2.9)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c12" scope="row" headers="t2c1 t2c3 t2c10" rowspan="1" colspan="1">&#x02002;25&#x02013;34</td><td align="char" char="." headers="t2c2 t2c4 t2c12" rowspan="1" colspan="1">539</td><td align="char" char="(" headers="t2c2 t2c5 t2c12" rowspan="1" colspan="1">10.11 (9.65, 10.58)</td><td align="char" char="(" headers="t2c2 t2c6 t2c12" rowspan="1" colspan="1">97.8 (95.8, 99.1)</td><td align="char" char="(" headers="t2c2 t2c7 t2c12" rowspan="1" colspan="1">58.1 (52.2, 63.9)</td><td align="char" char="(" headers="t2c2 t2c8 t2c12" rowspan="1" colspan="1">3.7 (1.5, 6.6)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c13" scope="row" headers="t2c1 t2c3 t2c10" rowspan="1" colspan="1">&#x02002;35&#x02013;44</td><td align="char" char="." headers="t2c2 t2c4 t2c13" rowspan="1" colspan="1">411</td><td align="char" char="(" headers="t2c2 t2c5 t2c13" rowspan="1" colspan="1">10.85 (10.31, 11.40)</td><td align="char" char="(" headers="t2c2 t2c6 t2c13" rowspan="1" colspan="1">99.2 (98.1, 99.8)</td><td align="char" char="(" headers="t2c2 t2c7 t2c13" rowspan="1" colspan="1">66.7 (60.9, 72.3)</td><td align="char" char="(" headers="t2c2 t2c8 t2c13" rowspan="1" colspan="1">4.6 (2.4, 7.5)</td></tr><tr><td align="left" id="t2c14" scope="row" headers="t2c1 t2c3 t2c10" rowspan="1" colspan="1">&#x02002;45&#x02013;49</td><td align="char" char="." headers="t2c2 t2c4 t2c14" rowspan="1" colspan="1">178</td><td align="char" char="(" headers="t2c2 t2c5 t2c14" rowspan="1" colspan="1">11.93 (11.24, 12.63)</td><td align="char" char="(" headers="t2c2 t2c6 t2c14" rowspan="1" colspan="1">99.6 (98.3, 100.0)</td><td align="char" char="(" headers="t2c2 t2c7 t2c14" rowspan="1" colspan="1">77.4 (68.3, 85.4)</td><td align="char" char="(" headers="t2c2 t2c8 t2c14" rowspan="1" colspan="1">8.5 (4.8, 13.3)</td></tr><tr><th colspan="6" align="left" id="t2c15" scope="row" headers="t2c1 t2c3" rowspan="1">Race/ethnicity</th></tr><tr><td align="left" id="t2c16" scope="row" headers="t2c1 t2c3 t2c15" rowspan="1" colspan="1">&#x02002;Non-Hispanic white</td><td align="char" char="." headers="t2c2 t2c4 t2c16" rowspan="1" colspan="1">1,548</td><td align="char" char="(" headers="t2c2 t2c5 t2c16" rowspan="1" colspan="1">10.23 (9.79, 10.66)</td><td align="char" char="(" headers="t2c2 t2c6 t2c16" rowspan="1" colspan="1">98.1 (96.6, 99.1)</td><td align="char" char="(" headers="t2c2 t2c7 t2c16" rowspan="1" colspan="1">60.1 (54.1, 65.9)</td><td align="char" char="(" headers="t2c2 t2c8 t2c16" rowspan="1" colspan="1">3.3 (1.9, 5.0)</td></tr><tr><td align="left" id="t2c17" scope="row" headers="t2c1 t2c3 t2c15" rowspan="1" colspan="1">&#x02002;Non-Hispanic black</td><td align="char" char="." headers="t2c2 t2c4 t2c17" rowspan="1" colspan="1">229</td><td align="char" char="(" headers="t2c2 t2c5 t2c17" rowspan="1" colspan="1">11.52 (10.71, 12.33)</td><td align="char" char="(" headers="t2c2 t2c6 t2c17" rowspan="1" colspan="1">99.7 (98.6, 100.0)</td><td align="char" char="(" headers="t2c2 t2c7 t2c17" rowspan="1" colspan="1">72.1 (63.1, 80.4)</td><td align="char" char="(" headers="t2c2 t2c8 t2c17" rowspan="1" colspan="1">5.9 (1.5, 12.9)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c18" scope="row" headers="t2c1 t2c3 t2c15" rowspan="1" colspan="1">&#x02002;Mexican American</td><td align="char" char="." headers="t2c2 t2c4 t2c18" rowspan="1" colspan="1">43</td><td align="char" char="(" headers="t2c2 t2c5 t2c18" rowspan="1" colspan="1">10.04 (9.02, 11.06)</td><td align="char" char="(" headers="t2c2 t2c6 t2c18" rowspan="1" colspan="1">100.0 (N/A, N/A)</td><td align="char" char="(" headers="t2c2 t2c7 t2c18" rowspan="1" colspan="1">56.6 (38.4, 74.0)</td><td align="char" char="(" headers="t2c2 t2c8 t2c18" rowspan="1" colspan="1">3.1 (0.3, 15.7)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><th colspan="6" align="left" id="t2c19" scope="row" headers="t2c1 t2c3" rowspan="1">Birthplace</th></tr><tr><td align="left" id="t2c20" scope="row" headers="t2c1 t2c3 t2c19" rowspan="1" colspan="1">&#x02002;United States</td><td align="char" char="." headers="t2c2 t2c4 t2c20" rowspan="1" colspan="1">1,719</td><td align="char" char="(" headers="t2c2 t2c5 t2c20" rowspan="1" colspan="1">10.38 (9.94, 10.82)</td><td align="char" char="(" headers="t2c2 t2c6 t2c20" rowspan="1" colspan="1">98.2 (96.9, 99.2)</td><td align="char" char="(" headers="t2c2 t2c7 t2c20" rowspan="1" colspan="1">61.5 (55.9, 67.0)</td><td align="char" char="(" headers="t2c2 t2c8 t2c20" rowspan="1" colspan="1">3.8 (2.2, 5.8)</td></tr><tr><td align="left" id="t2c21" scope="row" headers="t2c1 t2c3 t2c19" rowspan="1" colspan="1">&#x02002;Mexico</td><td align="center" headers="t2c2 t2c4 t2c21" rowspan="1" colspan="1">N/A</td><td align="center" headers="t2c2 t2c5 t2c21" rowspan="1" colspan="1">N/A</td><td align="center" headers="t2c2 t2c6 t2c21" rowspan="1" colspan="1">N/A</td><td align="center" headers="t2c2 t2c7 t2c21" rowspan="1" colspan="1">N/A</td><td align="center" headers="t2c2 t2c8 t2c21" rowspan="1" colspan="1">N/A</td></tr><tr><td align="left" id="t2c22" scope="row" headers="t2c1 t2c3 t2c19" rowspan="1" colspan="1">&#x02002;Other</td><td align="char" char="." headers="t2c2 t2c4 t2c22" rowspan="1" colspan="1">101</td><td align="char" char="(" headers="t2c2 t2c5 t2c22" rowspan="1" colspan="1">10.13 (9.34, 10.91)</td><td align="char" char="(" headers="t2c2 t2c6 t2c22" rowspan="1" colspan="1">99.4 (97.5, 100.0)</td><td align="char" char="(" headers="t2c2 t2c7 t2c22" rowspan="1" colspan="1">60.4 (46.5, 73.5)</td><td align="char" char="(" headers="t2c2 t2c8 t2c22" rowspan="1" colspan="1">0.5 (0.0, 2.4)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><th colspan="6" align="left" id="t2c23" scope="row" headers="t2c1 t2c3" rowspan="1">Ever pregnant</th></tr><tr><td align="left" id="t2c24" scope="row" headers="t2c1 t2c3 t2c23" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t2c2 t2c4 t2c24" rowspan="1" colspan="1">1,160</td><td align="char" char="(" headers="t2c2 t2c5 t2c24" rowspan="1" colspan="1">10.62 (10.14, 11.10)</td><td align="char" char="(" headers="t2c2 t2c6 t2c24" rowspan="1" colspan="1">98.4 (97.0, 99.4)</td><td align="char" char="(" headers="t2c2 t2c7 t2c24" rowspan="1" colspan="1">64.5 (58.8, 70.0)</td><td align="char" char="(" headers="t2c2 t2c8 t2c24" rowspan="1" colspan="1">4.0 (2.5, 5.9)</td></tr><tr><td align="left" id="t2c25" scope="row" headers="t2c1 t2c3 t2c23" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t2c2 t2c4 t2c25" rowspan="1" colspan="1">653</td><td align="char" char="(" headers="t2c2 t2c5 t2c25" rowspan="1" colspan="1">9.91 (9.43, 10.39)</td><td align="char" char="(" headers="t2c2 t2c6 t2c25" rowspan="1" colspan="1">98.1 (96.2, 99.3)</td><td align="char" char="(" headers="t2c2 t2c7 t2c25" rowspan="1" colspan="1">55.6 (48.5, 62.7)</td><td align="char" char="(" headers="t2c2 t2c8 t2c25" rowspan="1" colspan="1">2.9 (1.2, 5.4)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><th colspan="6" align="left" id="t2c26" scope="row" headers="t2c1 t2c3" rowspan="1">Number of live births</th></tr><tr><td align="left" id="t2c27" scope="row" headers="t2c1 t2c3 t2c26" rowspan="1" colspan="1">&#x02002;Never pregnant</td><td align="char" char="." headers="t2c2 t2c4 t2c27" rowspan="1" colspan="1">653</td><td align="char" char="(" headers="t2c2 t2c5 t2c27" rowspan="1" colspan="1">9.91 (9.43, 10.39)</td><td align="char" char="(" headers="t2c2 t2c6 t2c27" rowspan="1" colspan="1">98.1 (96.2, 99.3)</td><td align="char" char="(" headers="t2c2 t2c7 t2c27" rowspan="1" colspan="1">55.6 (48.5, 62.7)</td><td align="char" char="(" headers="t2c2 t2c8 t2c27" rowspan="1" colspan="1">2.9 (1.2, 5.4)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c28" scope="row" headers="t2c1 t2c3 t2c26" rowspan="1" colspan="1">&#x02002;0</td><td align="char" char="." headers="t2c2 t2c4 t2c28" rowspan="1" colspan="1">91</td><td align="char" char="(" headers="t2c2 t2c5 t2c28" rowspan="1" colspan="1">10.33 (9.63, 11.04)</td><td align="char" char="(" headers="t2c2 t2c6 t2c28" rowspan="1" colspan="1">100.0 (N/A, N/A)</td><td align="char" char="(" headers="t2c2 t2c7 t2c28" rowspan="1" colspan="1">62.4 (53.7, 70.8)</td><td align="char" char="(" headers="t2c2 t2c8 t2c28" rowspan="1" colspan="1">3.0 (0.5, 7.6)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c29" scope="row" headers="t2c1 t2c3 t2c26" rowspan="1" colspan="1">&#x02002;1</td><td align="char" char="." headers="t2c2 t2c4 t2c29" rowspan="1" colspan="1">254</td><td align="char" char="(" headers="t2c2 t2c5 t2c29" rowspan="1" colspan="1">10.34 (9.51, 11.17)</td><td align="char" char="(" headers="t2c2 t2c6 t2c29" rowspan="1" colspan="1">97.3 (93.9, 99.3)</td><td align="char" char="(" headers="t2c2 t2c7 t2c29" rowspan="1" colspan="1">66.1 (55.6, 75.9)</td><td align="char" char="(" headers="t2c2 t2c8 t2c29" rowspan="1" colspan="1">4.1 (1.9, 7.1)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c30" scope="row" headers="t2c1 t2c3 t2c26" rowspan="1" colspan="1">&#x02002;2&#x02013;3</td><td align="char" char="." headers="t2c2 t2c4 t2c30" rowspan="1" colspan="1">533</td><td align="char" char="(" headers="t2c2 t2c5 t2c30" rowspan="1" colspan="1">10.57 (10.05, 11.09)</td><td align="char" char="(" headers="t2c2 t2c6 t2c30" rowspan="1" colspan="1">98.2 (96.5, 99.4)</td><td align="char" char="(" headers="t2c2 t2c7 t2c30" rowspan="1" colspan="1">62.3 (56.4, 68.0)</td><td align="char" char="(" headers="t2c2 t2c8 t2c30" rowspan="1" colspan="1">4.0 (2.1, 6.7)</td></tr><tr><td align="left" id="t2c31" scope="row" headers="t2c1 t2c3 t2c26" rowspan="1" colspan="1">&#x02002;4 or more</td><td align="char" char="." headers="t2c2 t2c4 t2c31" rowspan="1" colspan="1">279</td><td align="char" char="(" headers="t2c2 t2c5 t2c31" rowspan="1" colspan="1">11.09 (10.52, 11.66)</td><td align="char" char="(" headers="t2c2 t2c6 t2c31" rowspan="1" colspan="1">99.4 (98.2, 100.0)</td><td align="char" char="(" headers="t2c2 t2c7 t2c31" rowspan="1" colspan="1">68.0 (60.9, 74.7)</td><td align="char" char="(" headers="t2c2 t2c8 t2c31" rowspan="1" colspan="1">4.3 (2.0, 7.4)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><th colspan="6" align="left" id="t2c32" scope="row" headers="t2c1 t2c3" rowspan="1">Poverty-to-income ratio</th></tr><tr><td align="left" id="t2c33" scope="row" headers="t2c1 t2c3 t2c32" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m43"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t2c2 t2c4 t2c33" rowspan="1" colspan="1">438</td><td align="char" char="(" headers="t2c2 t2c5 t2c33" rowspan="1" colspan="1">10.44 (9.84, 11.05)</td><td align="char" char="(" headers="t2c2 t2c6 t2c33" rowspan="1" colspan="1">98.8 (97.3, 99.7)</td><td align="char" char="(" headers="t2c2 t2c7 t2c33" rowspan="1" colspan="1">63.1 (56.2, 70.7)</td><td align="char" char="(" headers="t2c2 t2c8 t2c33" rowspan="1" colspan="1">3.5 (1.6, 6.0)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c34" scope="row" headers="t2c1 t2c3 t2c32" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m44"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t2c2 t2c4 t2c34" rowspan="1" colspan="1">1,337</td><td align="char" char="(" headers="t2c2 t2c5 t2c34" rowspan="1" colspan="1">10.38 (9.94, 10.81)</td><td align="char" char="(" headers="t2c2 t2c6 t2c34" rowspan="1" colspan="1">98.2 (97.0, 99.1)</td><td align="char" char="(" headers="t2c2 t2c7 t2c34" rowspan="1" colspan="1">61.2 (55.2, 66.9)</td><td align="char" char="(" headers="t2c2 t2c8 t2c34" rowspan="1" colspan="1">3.5 (1.9, 5.6)</td></tr><tr><th colspan="6" align="left" id="t2c35" scope="row" headers="t2c1 t2c3" rowspan="1">Currently pregnant</th></tr><tr><td align="left" id="t2c36" scope="row" headers="t2c1 t2c3 t2c35" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t2c2 t2c4 t2c36" rowspan="1" colspan="1">59</td><td align="char" char="(" headers="t2c2 t2c5 t2c36" rowspan="1" colspan="1">8.54 (7.64, 9.44)</td><td align="char" char="(" headers="t2c2 t2c6 t2c36" rowspan="1" colspan="1">98.8 (94.6, 100.0)</td><td align="char" char="(" headers="t2c2 t2c7 t2c36" rowspan="1" colspan="1">45.3 (30.1, 60.9)</td><td align="center" headers="t2c2 t2c8 t2c36" rowspan="1" colspan="1">N/A</td></tr><tr><td align="left" id="t2c37" scope="row" headers="t2c1 t2c3 t2c35" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t2c2 t2c4 t2c37" rowspan="1" colspan="1">1,087</td><td align="char" char="(" headers="t2c2 t2c5 t2c37" rowspan="1" colspan="1">10.75 (10.26, 11.25)</td><td align="char" char="(" headers="t2c2 t2c6 t2c37" rowspan="1" colspan="1">98.5 (97.0, 99.5)</td><td align="char" char="(" headers="t2c2 t2c7 t2c37" rowspan="1" colspan="1">65.6 (59.7, 71.2)</td><td align="char" char="(" headers="t2c2 t2c8 t2c37" rowspan="1" colspan="1">4.3 (2.6, 6.3)</td></tr><tr><th colspan="6" align="left" id="t2c38" scope="row" headers="t2c1 t2c3" rowspan="1">Smoking status</th></tr><tr><td align="left" id="t2c39" scope="row" headers="t2c1 t2c3 t2c38" rowspan="1" colspan="1">&#x02002;Current smoker</td><td align="char" char="." headers="t2c2 t2c4 t2c39" rowspan="1" colspan="1">636</td><td align="char" char="(" headers="t2c2 t2c5 t2c39" rowspan="1" colspan="1">11.52 (10.94, 12.09)</td><td align="char" char="(" headers="t2c2 t2c6 t2c39" rowspan="1" colspan="1">99.3 (98.2, 99.9)</td><td align="char" char="(" headers="t2c2 t2c7 t2c39" rowspan="1" colspan="1">72.5 (66.4, 78.2)</td><td align="char" char="(" headers="t2c2 t2c8 t2c39" rowspan="1" colspan="1">7.1 (4.1, 10.8)</td></tr><tr><td align="left" id="t2c40" scope="row" headers="t2c1 t2c3 t2c38" rowspan="1" colspan="1">&#x02002;Former smoker</td><td align="char" char="." headers="t2c2 t2c4 t2c40" rowspan="1" colspan="1">206</td><td align="char" char="(" headers="t2c2 t2c5 t2c40" rowspan="1" colspan="1">10.05 (9.37, 10.72)</td><td align="char" char="(" headers="t2c2 t2c6 t2c40" rowspan="1" colspan="1">98.3 (94.6, 99.9)</td><td align="char" char="(" headers="t2c2 t2c7 t2c40" rowspan="1" colspan="1">58.2 (48.6, 67.6)</td><td align="char" char="(" headers="t2c2 t2c8 t2c40" rowspan="1" colspan="1">1.9 (0.3, 4.7)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr><tr><td align="left" id="t2c41" scope="row" headers="t2c1 t2c3 t2c38" rowspan="1" colspan="1">&#x02002;Never smoker</td><td align="char" char="." headers="t2c2 t2c4 t2c41" rowspan="1" colspan="1">777</td><td align="char" char="(" headers="t2c2 t2c5 t2c41" rowspan="1" colspan="1">9.78 (9.30, 10.26)</td><td align="char" char="(" headers="t2c2 t2c6 t2c41" rowspan="1" colspan="1">97.7 (95.9, 98.9)</td><td align="char" char="(" headers="t2c2 t2c7 t2c41" rowspan="1" colspan="1">55.1 (48.1, 62.1)</td><td align="char" char="(" headers="t2c2 t2c8 t2c41" rowspan="1" colspan="1">2.0 (0.9, 3.5)<xref ref-type="table-fn" rid="TF7"><sup><italic>b</italic></sup></xref></td></tr></tbody></table><table-wrap-foot><fn id="TF5"><p>Note: N/A, not applicable; indicates that the data were not collected in the survey cycle.</p></fn><fn id="TF6"><label>a</label><p>Housing age, Medicaid, ever breastfed, and secondhand tobacco smoke are not included because these variables were not assessed in NHANES II.</p></fn><fn id="TF7"><label>b</label><p>Relative standard error (RSE) <inline-formula><mml:math id="m45"><mml:mrow><mml:mo>&#x0003e;</mml:mo><mml:mn>30</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math></inline-formula>.</p></fn></table-wrap-foot></table-wrap><p>GMs, sample size, and estimated prevalence of BLL <inline-formula><mml:math id="m46"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> by select characteristics are presented in <xref rid="t3" ref-type="table">Tables 3</xref> and <xref rid="t4" ref-type="table">4</xref>. BLLs were higher among women 15&#x02013;49 years of age in NHANES III (1988&#x02013;1991, 1991&#x02013;1994) than in more recent continuous survey years (1999&#x02013;2016). From 1991 to 1994, the GM BLL was <inline-formula><mml:math id="m47"><mml:mrow><mml:mn>1.53</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 1.45, 1.60), 3.8% had BLLs <inline-formula><mml:math id="m48"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 2.4, 5.6), and 0.3% had BLLs <inline-formula><mml:math id="m49"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.2, 0.5) (<xref rid="t3" ref-type="table">Table 3</xref>). From 1988 to 1991, the GM BLL was <inline-formula><mml:math id="m50"><mml:mrow><mml:mn>1.83</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 1.75, 1.94), 6.6% had BLLs <inline-formula><mml:math id="m51"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 5.4, 7.9), and 0.4% had BLLs <inline-formula><mml:math id="m52"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>10</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.1, 0.9) (<xref rid="t3" ref-type="table">Table 3</xref>).</p><table-wrap id="t3" orientation="portrait" position="float"><label>Table 3</label><caption><p>Geometric means (GM) [95% confidence interval (CI)] and estimated prevalence (95% CI) of blood lead levels (BLLs) <inline-formula><mml:math id="m53"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> among U.S. women 15&#x02013;49 years of age for selected characteristics in National Health and Nutrition Examination Survey (NHANES) III, 1988&#x02013;1994.</p></caption><alt-text>Table 3 has seven columns. The first column lists survey cycle, years, variable. The adjacent columns list N values, GM (95 percent CI), BLL percent greater than or equal to 5 micrograms per deciliter (95 percent CI) for 1988 to 1991 and 1991 to 1994. Columns 2 to 7 are under the common header NHANES 3.</alt-text><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" rowspan="2" id="t3c1" scope="col" colspan="1"/><th colspan="6" align="center" id="t3c2" scope="colgroup" rowspan="1">NHANES III</th></tr><tr><th colspan="3" align="center" id="t3c3" scope="colgroup" headers="t3c2" rowspan="1">1988&#x02013;1991</th><th colspan="3" align="center" id="t3c4" scope="colgroup" headers="t3c2" rowspan="1">1991&#x02013;1994</th></tr><tr><th align="left" id="t3c5" scope="col" headers="t3c1" rowspan="1" colspan="1">Variable</th><th align="center" id="t3c6" scope="col" headers="t3c2 t3c3" rowspan="1" colspan="1"><inline-formula><mml:math id="m54"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t3c7" scope="col" headers="t3c2 t3c3" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t3c8" scope="col" headers="t3c2 t3c3" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m55"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th><th align="center" id="t3c9" scope="col" headers="t3c2 t3c4" rowspan="1" colspan="1"><inline-formula><mml:math id="m56"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t3c10" scope="col" headers="t3c2 t3c4" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t3c11" scope="col" headers="t3c2 t3c4" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m57"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th></tr></thead><tbody valign="top"><tr><td align="left" id="t3c12" scope="row" headers="t3c1 t3c5" rowspan="1" colspan="1">Overall</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c12" rowspan="1" colspan="1">2,616</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c12" rowspan="1" colspan="1">1.85 (1.75, 1.94)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c12" rowspan="1" colspan="1">6.6 (5.4, 7.9)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c12" rowspan="1" colspan="1">3,201</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c12" rowspan="1" colspan="1">1.53 (1.45, 1.60)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c12" rowspan="1" colspan="1">3.8 (2.4, 5.6)</td></tr><tr><th colspan="7" align="left" id="t3c13" scope="row" headers="t3c1 t3c5" rowspan="1">Age (y)</th></tr><tr><td align="left" id="t3c14" scope="row" headers="t3c1 t3c5 t3c13" rowspan="1" colspan="1">&#x02002;15&#x02013;24</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c14" rowspan="1" colspan="1">881</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c14" rowspan="1" colspan="1">1.43 (1.31, 1.56)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c14" rowspan="1" colspan="1">2.6 (1.4, 4.2)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c14" rowspan="1" colspan="1">997</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c14" rowspan="1" colspan="1">1.22 (1.14, 1.31)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c14" rowspan="1" colspan="1">1.3 (0.4, 2.6)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c15" scope="row" headers="t3c1 t3c5 t3c13" rowspan="1" colspan="1">&#x02002;25&#x02013;34</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c15" rowspan="1" colspan="1">778</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c15" rowspan="1" colspan="1">1.80 (1.68, 1.93)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c15" rowspan="1" colspan="1">5.2 (3.2, 7.6)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c15" rowspan="1" colspan="1">984</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c15" rowspan="1" colspan="1">1.46 (1.38, 1.54)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c15" rowspan="1" colspan="1">3.3 (2.0, 5.0)</td></tr><tr><td align="left" id="t3c16" scope="row" headers="t3c1 t3c5 t3c13" rowspan="1" colspan="1">&#x02002;35&#x02013;44</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c16" rowspan="1" colspan="1">713</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c16" rowspan="1" colspan="1">2.18 (2.02, 2.35)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c16" rowspan="1" colspan="1">10.3 (7.7, 13.2)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c16" rowspan="1" colspan="1">944</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c16" rowspan="1" colspan="1">1.71 (1.59, 1.83)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c16" rowspan="1" colspan="1">5.2 (2.7, 8.4)</td></tr><tr><td align="left" id="t3c17" scope="row" headers="t3c1 t3c5 t3c13" rowspan="1" colspan="1">&#x02002;45&#x02013;49</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c17" rowspan="1" colspan="1">244</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c17" rowspan="1" colspan="1">2.48 (2.25, 2.71)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c17" rowspan="1" colspan="1">11.7 (7.2, 17.0)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c17" rowspan="1" colspan="1">276</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c17" rowspan="1" colspan="1">2.11 (1.80, 2.41)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c17" rowspan="1" colspan="1">7.6 (2.9, 14.1)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="7" align="left" id="t3c18" scope="row" headers="t3c1 t3c5" rowspan="1">Race/ethnicity</th></tr><tr><td align="left" id="t3c19" scope="row" headers="t3c1 t3c5 t3c18" rowspan="1" colspan="1">&#x02002;Non-Hispanic white</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c19" rowspan="1" colspan="1">888</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c19" rowspan="1" colspan="1">1.76 (1.65, 1.86)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c19" rowspan="1" colspan="1">5.2 (4.2, 6.4)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c19" rowspan="1" colspan="1">910</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c19" rowspan="1" colspan="1">1.46 (1.38, 1.53)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c19" rowspan="1" colspan="1">3.4 (1.9, 5.2)</td></tr><tr><td align="left" id="t3c20" scope="row" headers="t3c1 t3c5 t3c18" rowspan="1" colspan="1">&#x02002;Non-Hispanic black</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c20" rowspan="1" colspan="1">746</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c20" rowspan="1" colspan="1">2.16 (1.95, 2.37)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c20" rowspan="1" colspan="1">12.0 (8.5, 15.9)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c20" rowspan="1" colspan="1">1,206</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c20" rowspan="1" colspan="1">1.75 (1.62, 1.87)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c20" rowspan="1" colspan="1">6.5 (4.3, 9.0)</td></tr><tr><td align="left" id="t3c21" scope="row" headers="t3c1 t3c5 t3c18" rowspan="1" colspan="1">&#x02002;Mexican American</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c21" rowspan="1" colspan="1">878</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c21" rowspan="1" colspan="1">2.04 (1.73, 2.35)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c21" rowspan="1" colspan="1">11.4 (8.0, 15.3)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c21" rowspan="1" colspan="1">915</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c21" rowspan="1" colspan="1">1.67 (1.55, 1.78)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c21" rowspan="1" colspan="1">6.4 (5.0, 8.0)</td></tr><tr><th colspan="7" align="left" id="t3c22" scope="row" headers="t3c1 t3c5" rowspan="1">Birthplace</th></tr><tr><td align="left" id="t3c23" scope="row" headers="t3c1 t3c5 t3c22" rowspan="1" colspan="1">&#x02002;United States</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c23" rowspan="1" colspan="1">2,035</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c23" rowspan="1" colspan="1">1.80 (1.70, 1.90)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c23" rowspan="1" colspan="1">6.3 (5.2, 7.5)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c23" rowspan="1" colspan="1">2,480</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c23" rowspan="1" colspan="1">1.47 (1.39, 1.55)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c23" rowspan="1" colspan="1">3.8 (2.3, 5.7)</td></tr><tr><td align="left" id="t3c24" scope="row" headers="t3c1 t3c5 t3c22" rowspan="1" colspan="1">&#x02002;Mexico</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c24" rowspan="1" colspan="1">430</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c24" rowspan="1" colspan="1">2.60 (2.11, 3.10)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c24" rowspan="1" colspan="1">18.8 (11.3, 27.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c24" rowspan="1" colspan="1">450</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c24" rowspan="1" colspan="1">2.09 (1.95, 2.23)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c24" rowspan="1" colspan="1">10.6 (7.6, 14.0)</td></tr><tr><td align="left" id="t3c25" scope="row" headers="t3c1 t3c5 t3c22" rowspan="1" colspan="1">&#x02002;Other</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c25" rowspan="1" colspan="1">144</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c25" rowspan="1" colspan="1">2.10 (1.84, 2.35)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c25" rowspan="1" colspan="1">7.9 (2.9, 15.1)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c25" rowspan="1" colspan="1">263</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c25" rowspan="1" colspan="1">1.83 (1.61, 2.04)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c25" rowspan="1" colspan="1">3.9 (1.3, 8.0)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="7" align="left" id="t3c26" scope="row" headers="t3c1 t3c5" rowspan="1">Ever pregnant</th></tr><tr><td align="left" id="t3c27" scope="row" headers="t3c1 t3c5 t3c26" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c27" rowspan="1" colspan="1">1,873</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c27" rowspan="1" colspan="1">1.98 (1.87, 2.10)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c27" rowspan="1" colspan="1">7.1 (5.8, 8.5)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c27" rowspan="1" colspan="1">2,335</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c27" rowspan="1" colspan="1">1.61 (1.51, 1.70)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c27" rowspan="1" colspan="1">4.0 (2.5, 5.9)</td></tr><tr><td align="left" id="t3c28" scope="row" headers="t3c1 t3c5 t3c26" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c28" rowspan="1" colspan="1">665</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c28" rowspan="1" colspan="1">1.50 (1.40, 1.60)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c28" rowspan="1" colspan="1">4.5 (2.7, 6.7)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c28" rowspan="1" colspan="1">787</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c28" rowspan="1" colspan="1">1.31 (1.21, 1.42)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c28" rowspan="1" colspan="1">3.3 (1.3, 6.4)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="7" align="left" id="t3c29" scope="row" headers="t3c1 t3c5" rowspan="1">Number of live births</th></tr><tr><td align="left" id="t3c30" scope="row" headers="t3c1 t3c5 t3c29" rowspan="1" colspan="1">&#x02002;Never pregnant</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c30" rowspan="1" colspan="1">665</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c30" rowspan="1" colspan="1">1.50 (1.40, 1.60)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c30" rowspan="1" colspan="1">4.5 (2.7, 6.7)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c30" rowspan="1" colspan="1">787</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c30" rowspan="1" colspan="1">1.31 (1.21, 1.42)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c30" rowspan="1" colspan="1">3.3 (1.3, 6.4)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c31" scope="row" headers="t3c1 t3c5 t3c29" rowspan="1" colspan="1">&#x02002;0</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c31" rowspan="1" colspan="1">180</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c31" rowspan="1" colspan="1">1.88 (1.58, 2.17)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c31" rowspan="1" colspan="1">8.3 (4.1, 13.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c31" rowspan="1" colspan="1">202</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c31" rowspan="1" colspan="1">1.49 (1.34, 1.63)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c31" rowspan="1" colspan="1">2.5 (0.5, 5.9)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c32" scope="row" headers="t3c1 t3c5 t3c29" rowspan="1" colspan="1">&#x02002;1</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c32" rowspan="1" colspan="1">469</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c32" rowspan="1" colspan="1">1.90 (1.75, 2.05)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c32" rowspan="1" colspan="1">6.6 (4.2, 9.6)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c32" rowspan="1" colspan="1">581</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c32" rowspan="1" colspan="1">1.45 (1.30, 1.60)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c32" rowspan="1" colspan="1">2.4 (1.1, 4.2)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c33" scope="row" headers="t3c1 t3c5 t3c29" rowspan="1" colspan="1">&#x02002;2&#x02013;3</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c33" rowspan="1" colspan="1">888</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c33" rowspan="1" colspan="1">1.98 (1.85, 2.10)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c33" rowspan="1" colspan="1">6.1 (4.0, 8.5)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c33" rowspan="1" colspan="1">1,181</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c33" rowspan="1" colspan="1">1.68 (1.55, 1.82)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c33" rowspan="1" colspan="1">4.4 (2.2, 7.5)</td></tr><tr><td align="left" id="t3c34" scope="row" headers="t3c1 t3c5 t3c29" rowspan="1" colspan="1">&#x02002;4 or more</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c34" rowspan="1" colspan="1">336</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c34" rowspan="1" colspan="1">2.37 (1.92, 2.82)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c34" rowspan="1" colspan="1">11.8 (6.2, 18.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c34" rowspan="1" colspan="1">371</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c34" rowspan="1" colspan="1">1.77 (1.58, 1.95)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c34" rowspan="1" colspan="1">8.2 (3.3, 14.9)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="7" align="left" id="t3c35" scope="row" headers="t3c1 t3c5" rowspan="1">Ever Breastfed</th></tr><tr><td align="left" id="t3c36" scope="row" headers="t3c1 t3c5 t3c35" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c36" rowspan="1" colspan="1">790</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c36" rowspan="1" colspan="1">1.88 (1.75, 2.02)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c36" rowspan="1" colspan="1">5.3 (3.6, 7.2)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c36" rowspan="1" colspan="1">1,011</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c36" rowspan="1" colspan="1">1.55 (1.41, 1.68)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c36" rowspan="1" colspan="1">3.4 (1.4, 6.1)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c37" scope="row" headers="t3c1 t3c5 t3c35" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c37" rowspan="1" colspan="1">902</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c37" rowspan="1" colspan="1">2.13 (2.00, 2.25)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c37" rowspan="1" colspan="1">8.7 (6.3, 11.5)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c37" rowspan="1" colspan="1">1,121</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c37" rowspan="1" colspan="1">1.71 (1.58, 1.85)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c37" rowspan="1" colspan="1">5.2 (3.1, 7.8)</td></tr><tr><th colspan="7" align="left" id="t3c38" scope="row" headers="t3c1 t3c5" rowspan="1">Poverty-to-income ratio</th></tr><tr><td align="left" id="t3c39" scope="row" headers="t3c1 t3c5 t3c38" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m58"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c39" rowspan="1" colspan="1">839</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c39" rowspan="1" colspan="1">2.10 (1.87, 2.33)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c39" rowspan="1" colspan="1">9.8 (7.2, 12.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c39" rowspan="1" colspan="1">1,241</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c39" rowspan="1" colspan="1">1.66 (1.54, 1.78)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c39" rowspan="1" colspan="1">5.2 (3.3, 7.6)</td></tr><tr><td align="left" id="t3c40" scope="row" headers="t3c1 t3c5 t3c38" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m59"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c40" rowspan="1" colspan="1">1,519</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c40" rowspan="1" colspan="1">1.77 (1.67, 1.86)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c40" rowspan="1" colspan="1">5.7 (4.2, 7.4)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c40" rowspan="1" colspan="1">1,735</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c40" rowspan="1" colspan="1">1.48 (1.40, 1.55)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c40" rowspan="1" colspan="1">3.5 (1.9, 5.6)</td></tr><tr><th colspan="7" align="left" id="t3c41" scope="row" headers="t3c1 t3c5" rowspan="1">Medicaid</th></tr><tr><td align="left" id="t3c42" scope="row" headers="t3c1 t3c5 t3c41" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c42" rowspan="1" colspan="1">344</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c42" rowspan="1" colspan="1">2.19 (1.91, 2.48)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c42" rowspan="1" colspan="1">11.3 (6.6, 17.0)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c42" rowspan="1" colspan="1">552</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c42" rowspan="1" colspan="1">1.74 (1.58, 1.91)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c42" rowspan="1" colspan="1">4.7 (2.6, 7.3)</td></tr><tr><td align="left" id="t3c43" scope="row" headers="t3c1 t3c5 t3c41" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c43" rowspan="1" colspan="1">2,078</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c43" rowspan="1" colspan="1">1.81 (1.71, 1.91)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c43" rowspan="1" colspan="1">6.3 (4.9, 7.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c43" rowspan="1" colspan="1">2,647</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c43" rowspan="1" colspan="1">1.50 (1.42, 1.58)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c43" rowspan="1" colspan="1">3.8 (2.3, 5.5)</td></tr><tr><th colspan="7" align="left" id="t3c44" scope="row" headers="t3c1 t3c5" rowspan="1">Housing age</th></tr><tr><td align="left" id="t3c45" scope="row" headers="t3c1 t3c5 t3c44" rowspan="1" colspan="1">&#x02002;Pre-1946</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c45" rowspan="1" colspan="1">461</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c45" rowspan="1" colspan="1">2.16 (1.94, 2.39)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c45" rowspan="1" colspan="1">9.3 (6.4, 12.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c45" rowspan="1" colspan="1">510</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c45" rowspan="1" colspan="1">1.59 (1.44, 1.74)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c45" rowspan="1" colspan="1">4.9 (1.6, 9.8)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c46" scope="row" headers="t3c1 t3c5 t3c44" rowspan="1" colspan="1">&#x02002;1946&#x02013;1973</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c46" rowspan="1" colspan="1">1,188</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c46" rowspan="1" colspan="1">1.79 (1.67, 1.91)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c46" rowspan="1" colspan="1">7.0 (5.3, 8.9)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c46" rowspan="1" colspan="1">1,225</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c46" rowspan="1" colspan="1">1.57 (1.46, 1.67)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c46" rowspan="1" colspan="1">4.1 (2.4, 6.3)</td></tr><tr><td align="left" id="t3c47" scope="row" headers="t3c1 t3c5 t3c44" rowspan="1" colspan="1">&#x02002;1973 to present</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c47" rowspan="1" colspan="1">696</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c47" rowspan="1" colspan="1">1.71 (1.56, 1.85)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c47" rowspan="1" colspan="1">4.7 (2.4, 7.6)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c47" rowspan="1" colspan="1">993</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c47" rowspan="1" colspan="1">1.40 (1.29, 1.51)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c47" rowspan="1" colspan="1">2.5 (1.1, 4.6)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c48" scope="row" headers="t3c1 t3c5 t3c44" rowspan="1" colspan="1">&#x02002;Unknown</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c48" rowspan="1" colspan="1">129</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c48" rowspan="1" colspan="1">2.30 (1.98, 2.63)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c48" rowspan="1" colspan="1">6.6 (3.0, 11.5)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c48" rowspan="1" colspan="1">426</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c48" rowspan="1" colspan="1">1.77 (1.57, 1.96)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c48" rowspan="1" colspan="1">5.5 (2.7, 9.2)</td></tr><tr><th colspan="7" align="left" id="t3c49" scope="row" headers="t3c1 t3c5" rowspan="1">Currently pregnant</th></tr><tr><td align="left" id="t3c50" scope="row" headers="t3c1 t3c5 t3c49" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c50" rowspan="1" colspan="1">154</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c50" rowspan="1" colspan="1">1.41 (1.20, 1.61)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c50" rowspan="1" colspan="1">1.4 (0.5, 2.9)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c50" rowspan="1" colspan="1">172</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c50" rowspan="1" colspan="1">1.27 (1.11, 1.43)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c50" rowspan="1" colspan="1">2.0 (0.2, 5.9)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c51" scope="row" headers="t3c1 t3c5 t3c49" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c51" rowspan="1" colspan="1">2,096</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c51" rowspan="1" colspan="1">1.97 (1.87, 2.07)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c51" rowspan="1" colspan="1">7.4 (6.1, 8.8)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c51" rowspan="1" colspan="1">2,640</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c51" rowspan="1" colspan="1">1.59 (1.50, 1.68)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c51" rowspan="1" colspan="1">4.3 (2.8, 6.3)</td></tr><tr><th colspan="7" align="left" id="t3c52" scope="row" headers="t3c1 t3c5" rowspan="1">Smoking status</th></tr><tr><td align="left" id="t3c53" scope="row" headers="t3c1 t3c5 t3c52" rowspan="1" colspan="1">&#x02002;Current smoker</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c53" rowspan="1" colspan="1">644</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c53" rowspan="1" colspan="1">2.45 (2.27, 2.63)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c53" rowspan="1" colspan="1">10.3 (7.8, 13.1)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c53" rowspan="1" colspan="1">697</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c53" rowspan="1" colspan="1">1.95 (1.80, 2.10)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c53" rowspan="1" colspan="1">6.9 (4.2, 10.4)</td></tr><tr><td align="left" id="t3c54" scope="row" headers="t3c1 t3c5 t3c52" rowspan="1" colspan="1">&#x02002;Former smoker</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c54" rowspan="1" colspan="1">306</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c54" rowspan="1" colspan="1">1.74 (1.58, 1.90)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c54" rowspan="1" colspan="1">5.5 (2.8, 9.1)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c54" rowspan="1" colspan="1">340</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c54" rowspan="1" colspan="1">1.62 (1.48, 1.76)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c54" rowspan="1" colspan="1">2.9 (0.7, 6.6)<xref ref-type="table-fn" rid="TF8"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t3c55" scope="row" headers="t3c1 t3c5 t3c52" rowspan="1" colspan="1">&#x02002;Never smoker</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c55" rowspan="1" colspan="1">1,489</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c55" rowspan="1" colspan="1">1.66 (1.55, 1.76)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c55" rowspan="1" colspan="1">4.5 (3.3, 6.0)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c55" rowspan="1" colspan="1">1,943</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c55" rowspan="1" colspan="1">1.37 (1.31, 1.44)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c55" rowspan="1" colspan="1">2.8 (1.8, 4.1)</td></tr><tr><th colspan="7" align="left" id="t3c56" scope="row" headers="t3c1 t3c5" rowspan="1">Secondhand tobacco smoke</th></tr><tr><td align="left" id="t3c57" scope="row" headers="t3c1 t3c5 t3c56" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c57" rowspan="1" colspan="1">1,152</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c57" rowspan="1" colspan="1">2.15 (2.03, 2.27)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c57" rowspan="1" colspan="1">9.2 (7.6, 11.0)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c57" rowspan="1" colspan="1">1,135</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c57" rowspan="1" colspan="1">1.77 (1.65, 1.89)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c57" rowspan="1" colspan="1">6.0 (3.7, 8.8)</td></tr><tr><td align="left" id="t3c58" scope="row" headers="t3c1 t3c5 t3c56" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t3c2 t3c3 t3c6 t3c58" rowspan="1" colspan="1">1,461</td><td align="char" char="(" headers="t3c2 t3c3 t3c7 t3c58" rowspan="1" colspan="1">1.63 (1.55, 1.71)</td><td align="char" char="(" headers="t3c2 t3c3 t3c8 t3c58" rowspan="1" colspan="1">3.9 (3.1, 4.9)</td><td align="char" char="." headers="t3c2 t3c4 t3c9 t3c58" rowspan="1" colspan="1">2,065</td><td align="char" char="(" headers="t3c2 t3c4 t3c10 t3c58" rowspan="1" colspan="1">1.41 (1.34, 1.49)</td><td align="char" char="(" headers="t3c2 t3c4 t3c11 t3c58" rowspan="1" colspan="1">2.6 (1.5, 4.1)</td></tr></tbody></table><table-wrap-foot><fn id="TF8"><label>a</label><p>Relative standard error (RSE) <inline-formula><mml:math id="m60"><mml:mrow><mml:mo>&#x0003e;</mml:mo><mml:mn>30</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math></inline-formula>.</p></fn></table-wrap-foot></table-wrap><table-wrap id="t4" orientation="portrait" position="float"><label>Table 4</label><caption><p>Geometric means (GMs) [95% confidence intervals (CI)] and estimated prevalence (95% CI) of blood lead levels (BLLs) <inline-formula><mml:math id="m61"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> among U.S. women 15&#x02013;49 years of age for selected characteristics, NHANES, 1999&#x02013;2016.</p></caption><alt-text>Table 4 has thirteen columns. The first column lists survey cycle, years, variable. The adjacent columns list N values, GM (95 percent CI), BLL percent greater than or equal to 5 micrograms per deciliter (95 percent CI) for 1999 to 2002, 2003 to 2006, 2007 to 2010, and 2011 to 2016. Columns 2 to 13 are under the common header continuous NHANES.</alt-text><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" rowspan="2" id="t4c1" scope="col" colspan="1"/><th colspan="12" align="center" id="t4c2" scope="colgroup" rowspan="1">Continuous NHANES</th></tr><tr><th colspan="3" align="center" id="t4c3" scope="colgroup" headers="t4c2" rowspan="1">1999&#x02013;2002</th><th colspan="3" align="center" id="t4c4" scope="colgroup" headers="t4c2" rowspan="1">2003&#x02013;2006</th><th colspan="3" align="center" id="t4c5" scope="colgroup" headers="t4c2" rowspan="1">2007&#x02013;2010</th><th colspan="3" align="center" id="t4c6" scope="colgroup" headers="t4c2" rowspan="1">2011&#x02013;2016</th></tr><tr><th align="left" id="t4c7" scope="col" headers="t4c1" rowspan="1" colspan="1">Variable</th><th align="center" id="t4c8" scope="col" headers="t4c2 t4c3" rowspan="1" colspan="1"><inline-formula><mml:math id="m62"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t4c9" scope="col" headers="t4c2 t4c3" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t4c10" scope="col" headers="t4c2 t4c3" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m63"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th><th align="center" id="t4c11" scope="col" headers="t4c2 t4c4" rowspan="1" colspan="1"><inline-formula><mml:math id="m64"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t4c12" scope="col" headers="t4c2 t4c4" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t4c13" scope="col" headers="t4c2 t4c4" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m65"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th><th align="center" id="t4c14" scope="col" headers="t4c2 t4c5" rowspan="1" colspan="1"><inline-formula><mml:math id="m66"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t4c15" scope="col" headers="t4c2 t4c5" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t4c16" scope="col" headers="t4c2 t4c5" rowspan="1" colspan="1">BLL <inline-formula><mml:math id="m67"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th><th align="center" id="t4c17" scope="col" headers="t4c2 t4c6" rowspan="1" colspan="1"><inline-formula><mml:math id="m68"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula></th><th align="center" id="t4c18" scope="col" headers="t4c2 t4c6" rowspan="1" colspan="1">GM (95% CI)</th><th align="center" id="t4c19" scope="col" headers="t4c2 t4c6" rowspan="1" colspan="1">BLL % <inline-formula><mml:math id="m69"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> [% (95% CI)]</th></tr></thead><tbody valign="top"><tr><td align="left" id="t4c20" scope="row" headers="t4c1 t4c7" rowspan="1" colspan="1">Overall</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c20" rowspan="1" colspan="1">3,914</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c20" rowspan="1" colspan="1">1.05 (1.01, 1.09)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c20" rowspan="1" colspan="1">1.3 (0.7, 2.0)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c20" rowspan="1" colspan="1">3,830</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c20" rowspan="1" colspan="1">0.91 (0.88, 0.95)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c20" rowspan="1" colspan="1">0.7 (0.4, 1.1)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c20" rowspan="1" colspan="1">3,577</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c20" rowspan="1" colspan="1">0.81 (0.79, 0.84)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c20" rowspan="1" colspan="1">0.3 (0.1, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c20" rowspan="1" colspan="1">3,450</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c20" rowspan="1" colspan="1">0.61 (0.59, 0.64)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c20" rowspan="1" colspan="1">0.7 (0.4, 1.2)</td></tr><tr><th colspan="13" align="left" id="t4c21" scope="row" headers="t4c1 t4c7" rowspan="1">Age (y)</th></tr><tr><td align="left" id="t4c22" scope="row" headers="t4c1 t4c7 t4c21" rowspan="1" colspan="1">&#x02002;15&#x02013;24</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c22" rowspan="1" colspan="1">1,813</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c22" rowspan="1" colspan="1">0.85 (0.80, 0.90)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c22" rowspan="1" colspan="1">1.1 (0.1, 3.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c22" rowspan="1" colspan="1">1,772</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c22" rowspan="1" colspan="1">0.74 (0.71, 0.77)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c22" rowspan="1" colspan="1">0.4 (0.1, 1.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c22" rowspan="1" colspan="1">1,123</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c22" rowspan="1" colspan="1">0.66 (0.63, 0.69)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c22" rowspan="1" colspan="1">0.2 (0.0, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c22" rowspan="1" colspan="1">1,144</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c22" rowspan="1" colspan="1">0.46 (0.43, 0.49)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c22" rowspan="1" colspan="1">0.2 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c23" scope="row" headers="t4c1 t4c7 t4c21" rowspan="1" colspan="1">&#x02002;25&#x02013;34</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c23" rowspan="1" colspan="1">910</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c23" rowspan="1" colspan="1">0.98 (0.92, 1.04)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c23" rowspan="1" colspan="1">0.6 (0.0, 2.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c23" rowspan="1" colspan="1">939</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c23" rowspan="1" colspan="1">0.83 (0.78, 0.88)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c23" rowspan="1" colspan="1">0.3 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c23" rowspan="1" colspan="1">924</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c23" rowspan="1" colspan="1">0.77 (0.75, 0.79)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c23" rowspan="1" colspan="1">0.3 (0.0, 0.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c23" rowspan="1" colspan="1">907</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c23" rowspan="1" colspan="1">0.57 (0.54, 0.60)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c23" rowspan="1" colspan="1">0.5 (0.1, 1.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c24" scope="row" headers="t4c1 t4c7 t4c21" rowspan="1" colspan="1">&#x02002;35&#x02013;44</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c24" rowspan="1" colspan="1">827</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c24" rowspan="1" colspan="1">1.20 (1.13, 1.27)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c24" rowspan="1" colspan="1">0.8 (0.3, 1.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c24" rowspan="1" colspan="1">755</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c24" rowspan="1" colspan="1">1.01 (0.95, 1.07)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c24" rowspan="1" colspan="1">0.9 (0.5, 1.5)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c24" rowspan="1" colspan="1">1,017</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c24" rowspan="1" colspan="1">0.87 (0.82, 0.91)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c24" rowspan="1" colspan="1">0.3 (0.1, 0.5)</td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c24" rowspan="1" colspan="1">941</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c24" rowspan="1" colspan="1">0.72 (0.67, 0.76)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c24" rowspan="1" colspan="1">1.4 (0.5, 2.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c25" scope="row" headers="t4c1 t4c7 t4c21" rowspan="1" colspan="1">&#x02002;45&#x02013;49</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c25" rowspan="1" colspan="1">364</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c25" rowspan="1" colspan="1">1.36 (1.24, 1.47)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c25" rowspan="1" colspan="1">3.8 (1.7, 6.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c25" rowspan="1" colspan="1">364</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c25" rowspan="1" colspan="1">1.27 (1.16, 1.37)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c25" rowspan="1" colspan="1">1.5 (0.4, 3.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c25" rowspan="1" colspan="1">513</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c25" rowspan="1" colspan="1">1.17 (1.11, 1.23)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c25" rowspan="1" colspan="1">0.4 (0.0, 1.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c25" rowspan="1" colspan="1">458</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c25" rowspan="1" colspan="1">0.87 (0.82, 0.93)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c25" rowspan="1" colspan="1">0.9 (0.1, 2.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c26" scope="row" headers="t4c1 t4c7" rowspan="1">Race/ethnicity</th></tr><tr><td align="left" id="t4c27" scope="row" headers="t4c1 t4c7 t4c26" rowspan="1" colspan="1">&#x02002;Non-Hispanic white</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c27" rowspan="1" colspan="1">1,452</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c27" rowspan="1" colspan="1">1.01 (0.96, 1.05)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c27" rowspan="1" colspan="1">1.1 (0.4, 2.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c27" rowspan="1" colspan="1">1,516</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c27" rowspan="1" colspan="1">0.86 (0.83, 0.89)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c27" rowspan="1" colspan="1">0.2 (0.0, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c27" rowspan="1" colspan="1">1,476</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c27" rowspan="1" colspan="1">0.76 (0.74, 0.79)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c27" rowspan="1" colspan="1">0.1 (0.0, 0.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c27" rowspan="1" colspan="1">1,126</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c27" rowspan="1" colspan="1">0.59 (0.56, 0.62)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c27" rowspan="1" colspan="1">0.5 (0.1, 1.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c28" scope="row" headers="t4c1 t4c7 t4c26" rowspan="1" colspan="1">&#x02002;Non-Hispanic black</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c28" rowspan="1" colspan="1">869</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c28" rowspan="1" colspan="1">1.21 (1.12, 1.30)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c28" rowspan="1" colspan="1">1.2 (0.5, 2.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c28" rowspan="1" colspan="1">1,014</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c28" rowspan="1" colspan="1">1.03 (0.92, 1.14)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c28" rowspan="1" colspan="1">2.0 (0.7, 3.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c28" rowspan="1" colspan="1">689</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c28" rowspan="1" colspan="1">0.92 (0.88, 0.96)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c28" rowspan="1" colspan="1">0.2 (0.0, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c28" rowspan="1" colspan="1">798</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c28" rowspan="1" colspan="1">0.61 (0.57, 0.65)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c28" rowspan="1" colspan="1">0.6 (0.1, 1.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c29" scope="row" headers="t4c1 t4c7 t4c26" rowspan="1" colspan="1">&#x02002;Mexican American</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c29" rowspan="1" colspan="1">1,214</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c29" rowspan="1" colspan="1">1.19 (1.09, 1.29)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c29" rowspan="1" colspan="1">2.9 (1.9, 4.1)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c29" rowspan="1" colspan="1">981</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c29" rowspan="1" colspan="1">1.05 (0.98, 1.12)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c29" rowspan="1" colspan="1">2.1 (0.9, 3.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c29" rowspan="1" colspan="1">751</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c29" rowspan="1" colspan="1">0.88 (0.83, 0.94)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c29" rowspan="1" colspan="1">0.6 (0.2, 1.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c29" rowspan="1" colspan="1">557</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c29" rowspan="1" colspan="1">0.61 (0.56, 0.65)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c29" rowspan="1" colspan="1">2.1 (0.8, 4.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c30" scope="row" headers="t4c1 t4c7 t4c26" rowspan="1" colspan="1">&#x02002;Other race</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c30" rowspan="1" colspan="1">146</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c30" rowspan="1" colspan="1">0.98 (0.83, 1.13)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c30" rowspan="1" colspan="1">0.5 (0.0, 0.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c30" rowspan="1" colspan="1">178</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c30" rowspan="1" colspan="1">1.04 (0.92, 1.16)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c30" rowspan="1" colspan="1">1.1 (0.0, 4.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c30" rowspan="1" colspan="1">206</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c30" rowspan="1" colspan="1">1.06 (0.93, 1.19)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c30" rowspan="1" colspan="1">1.6 (0.2, 4.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c30" rowspan="1" colspan="1">613</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c30" rowspan="1" colspan="1">0.80 (0.74, 0.86)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c30" rowspan="1" colspan="1">0.4 (0.1, 1.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c31" scope="row" headers="t4c1 t4c7 t4c26" rowspan="1" colspan="1">&#x02002;Other Hispanic</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c31" rowspan="1" colspan="1">233</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c31" rowspan="1" colspan="1">1.09 (0.97, 1.20)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c31" rowspan="1" colspan="1">1.2 (0.0, 5.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c31" rowspan="1" colspan="1">141</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c31" rowspan="1" colspan="1">0.89 (0.75, 1.03)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c31" rowspan="1" colspan="1">1.6 (0.2, 4.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c31" rowspan="1" colspan="1">455</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c31" rowspan="1" colspan="1">0.84 (0.78, 0.91)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c31" rowspan="1" colspan="1">0.6 (0.0, 1.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c31" rowspan="1" colspan="1">356</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c31" rowspan="1" colspan="1">0.58 (0.53, 0.63)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c31" rowspan="1" colspan="1">0.5 (0.0, 1.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c32" scope="row" headers="t4c1 t4c7" rowspan="1">Birthplace</th></tr><tr><td align="left" id="t4c33" scope="row" headers="t4c1 t4c7 t4c32" rowspan="1" colspan="1">&#x02002;United States</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c33" rowspan="1" colspan="1">3,011</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c33" rowspan="1" colspan="1">1.01 (0.97, 1.06)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c33" rowspan="1" colspan="1">1.2 (0.6, 2.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c33" rowspan="1" colspan="1">3,021</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c33" rowspan="1" colspan="1">0.87 (0.83, 0.90)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c33" rowspan="1" colspan="1">0.4 (0.2, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c33" rowspan="1" colspan="1">2,659</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c33" rowspan="1" colspan="1">0.78 (0.75, 0.80)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c33" rowspan="1" colspan="1">0.2 (0.1, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c33" rowspan="1" colspan="1">2,466</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c33" rowspan="1" colspan="1">0.58 (0.55, 0.60)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c33" rowspan="1" colspan="1">0.5 (0.2, 1.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c34" scope="row" headers="t4c1 t4c7 t4c32" rowspan="1" colspan="1">&#x02002;Mexico</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c34" rowspan="1" colspan="1">589</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c34" rowspan="1" colspan="1">1.52 (1.39, 1.65)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c34" rowspan="1" colspan="1">4.5 (2.8, 6.6)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c34" rowspan="1" colspan="1">492</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c34" rowspan="1" colspan="1">1.35 (1.25, 1.45)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c34" rowspan="1" colspan="1">3.8 (1.6, 6.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c34" rowspan="1" colspan="1">406</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c34" rowspan="1" colspan="1">1.11 (1.02, 1.18)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c34" rowspan="1" colspan="1">1.1 (0.3, 2.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c34" rowspan="1" colspan="1">0</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c34" rowspan="1" colspan="1">&#x02014;</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c34" rowspan="1" colspan="1">0.0 (N/A, N/A)</td></tr><tr><td align="left" id="t4c35" scope="row" headers="t4c1 t4c7 t4c32" rowspan="1" colspan="1">&#x02002;Other</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c35" rowspan="1" colspan="1">313</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c35" rowspan="1" colspan="1">1.21 (1.12, 1.30)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c35" rowspan="1" colspan="1">0.2 (0.0, 1.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c35" rowspan="1" colspan="1">317</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c35" rowspan="1" colspan="1">1.14 (1.05, 1.22)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c35" rowspan="1" colspan="1">1.7 (0.4, 3.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c35" rowspan="1" colspan="1">510</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c35" rowspan="1" colspan="1">1.03 (0.96, 1.10)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c35" rowspan="1" colspan="1">0.5 (0.0, 1.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c35" rowspan="1" colspan="1">983</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c35" rowspan="1" colspan="1">0.79 (0.75, 0.83)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c35" rowspan="1" colspan="1">1.5 (0.7, 2.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c36" scope="row" headers="t4c1 t4c7" rowspan="1">Ever pregnant</th></tr><tr><td align="left" id="t4c37" scope="row" headers="t4c1 t4c7 t4c36" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c37" rowspan="1" colspan="1">2,339</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c37" rowspan="1" colspan="1">1.13 (1.07, 1.18)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c37" rowspan="1" colspan="1">1.6 (0.8, 2.7)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c37" rowspan="1" colspan="1">2,189</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c37" rowspan="1" colspan="1">0.98 (0.94, 1.02)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c37" rowspan="1" colspan="1">0.8 (0.5, 1.3)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c37" rowspan="1" colspan="1">2,125</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c37" rowspan="1" colspan="1">0.89 (0.86, 0.92)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c37" rowspan="1" colspan="1">0.1 (0.0, 0.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c37" rowspan="1" colspan="1">1,603</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c37" rowspan="1" colspan="1">0.62 (0.59, 0.65)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c37" rowspan="1" colspan="1">0.6 (0.2, 1.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c38" scope="row" headers="t4c1 t4c7 t4c36" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c38" rowspan="1" colspan="1">1,316</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c38" rowspan="1" colspan="1">0.88 (0.83, 0.93)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c38" rowspan="1" colspan="1">0.3 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c38" rowspan="1" colspan="1">1,347</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c38" rowspan="1" colspan="1">0.77 (0.72, 0.81)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c38" rowspan="1" colspan="1">0.5 (0.1, 1.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c38" rowspan="1" colspan="1">1,032</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c38" rowspan="1" colspan="1">0.68 (0.65, 0.71)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c38" rowspan="1" colspan="1">0.3 (0.0, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c38" rowspan="1" colspan="1">908</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c38" rowspan="1" colspan="1">0.51 (0.48, 0.55)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c38" rowspan="1" colspan="1">0.2 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c39" scope="row" headers="t4c1 t4c7" rowspan="1">Number of live births</th></tr><tr><td align="left" id="t4c40" scope="row" headers="t4c1 t4c7 t4c39" rowspan="1" colspan="1">&#x02002;Never pregnant</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c40" rowspan="1" colspan="1">1,316</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c40" rowspan="1" colspan="1">0.88 (0.83, 0.93)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c40" rowspan="1" colspan="1">0.3 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c40" rowspan="1" colspan="1">1,347</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c40" rowspan="1" colspan="1">0.77 (0.72, 0.81)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c40" rowspan="1" colspan="1">0.5 (0.1, 1.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c40" rowspan="1" colspan="1">1,032</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c40" rowspan="1" colspan="1">0.68 (0.65, 0.71)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c40" rowspan="1" colspan="1">0.3 (0.0, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c40" rowspan="1" colspan="1">908</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c40" rowspan="1" colspan="1">0.51 (0.48, 0.55)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c40" rowspan="1" colspan="1">0.2 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c41" scope="row" headers="t4c1 t4c7 t4c39" rowspan="1" colspan="1">&#x02002;0</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c41" rowspan="1" colspan="1">184</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c41" rowspan="1" colspan="1">1.13 (0.95, 1.31)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c41" rowspan="1" colspan="1">2.6 (0.2, 7.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c41" rowspan="1" colspan="1">155</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c41" rowspan="1" colspan="1">0.95 (0.84, 1.05)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c41" rowspan="1" colspan="1">0.0 (N/A, N/A)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c41" rowspan="1" colspan="1">9</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c41" rowspan="1" colspan="1">1.14 (0.70, 1.58)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c41" rowspan="1" colspan="1">0.0 (NA, NA)</td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c41" rowspan="1" colspan="1">5</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c41" rowspan="1" colspan="1">0.47 (0.13, 0.80)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c41" rowspan="1" colspan="1">0.0 (N/A, N/A)</td></tr><tr><td align="left" id="t4c42" scope="row" headers="t4c1 t4c7 t4c39" rowspan="1" colspan="1">&#x02002;1</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c42" rowspan="1" colspan="1">659</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c42" rowspan="1" colspan="1">1.06 (0.98, 1.14)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c42" rowspan="1" colspan="1">1.0 (0.1, 3.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c42" rowspan="1" colspan="1">586</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c42" rowspan="1" colspan="1">0.92 (0.87, 0.98)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c42" rowspan="1" colspan="1">1.1 (0.5, 2.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c42" rowspan="1" colspan="1">504</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c42" rowspan="1" colspan="1">0.84 (0.80, 0.88)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c42" rowspan="1" colspan="1">0.2 (0.0, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c42" rowspan="1" colspan="1">408</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c42" rowspan="1" colspan="1">0.59 (0.53, 0.65)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c42" rowspan="1" colspan="1">0.2 (0.0, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c43" scope="row" headers="t4c1 t4c7 t4c39" rowspan="1" colspan="1">&#x02002;2-3</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c43" rowspan="1" colspan="1">1,021</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c43" rowspan="1" colspan="1">1.13 (1.07, 1.20)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c43" rowspan="1" colspan="1">1.6 (0.4, 3.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c43" rowspan="1" colspan="1">989</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c43" rowspan="1" colspan="1">1.01 (0.96, 1.05)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c43" rowspan="1" colspan="1">0.8 (0.4, 1.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c43" rowspan="1" colspan="1">1,172</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c43" rowspan="1" colspan="1">0.89 (0.85, 0.94)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c43" rowspan="1" colspan="1">0.0 (0.0, 0.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c43" rowspan="1" colspan="1">829</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c43" rowspan="1" colspan="1">0.63 (0.59, 0.67)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c43" rowspan="1" colspan="1">0.8 (0.2, 1.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c44" scope="row" headers="t4c1 t4c7 t4c39" rowspan="1" colspan="1">&#x02002;4 or more</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c44" rowspan="1" colspan="1">276</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c44" rowspan="1" colspan="1">1.35 (1.20, 1.49)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c44" rowspan="1" colspan="1">3.1 (0.8, 6.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c44" rowspan="1" colspan="1">208</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c44" rowspan="1" colspan="1">1.18 (1.07, 1.28)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c44" rowspan="1" colspan="1">1.3 (0.2, 3.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c44" rowspan="1" colspan="1">269</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c44" rowspan="1" colspan="1">1.05 (0.97, 1.14)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c44" rowspan="1" colspan="1">0.8 (0.1, 2.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c44" rowspan="1" colspan="1">217</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c44" rowspan="1" colspan="1">0.68 (0.62, 0.74)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c44" rowspan="1" colspan="1">0.8 (0.0, 2.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c45" scope="row" headers="t4c1 t4c7" rowspan="1">Ever breastfed<xref ref-type="table-fn" rid="TF11"><sup><italic>b</italic></sup></xref></th></tr><tr><td align="left" id="t4c46" scope="row" headers="t4c1 t4c7 t4c45" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c46" rowspan="1" colspan="1">1,244</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c46" rowspan="1" colspan="1">1.07 (1.02, 1.12)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c46" rowspan="1" colspan="1">0.8 (0.3, 1.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c46" rowspan="1" colspan="1">1,204</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c46" rowspan="1" colspan="1">0.97 (0.93, 1.02)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c46" rowspan="1" colspan="1">0.8 (0.3, 1.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c46" rowspan="1" colspan="1">1,217</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c46" rowspan="1" colspan="1">0.87 (0.84, 0.91)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c46" rowspan="1" colspan="1">0.1 (0.0, 0.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c46" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c46" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c46" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" id="t4c47" scope="row" headers="t4c1 t4c7 t4c45" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c47" rowspan="1" colspan="1">712</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c47" rowspan="1" colspan="1">1.25 (1.15, 1.34)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c47" rowspan="1" colspan="1">2.9 (1.1, 5.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c47" rowspan="1" colspan="1">579</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c47" rowspan="1" colspan="1">1.05 (0.98, 1.12)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c47" rowspan="1" colspan="1">1.3 (0.8, 2.1)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c47" rowspan="1" colspan="1">727</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c47" rowspan="1" colspan="1">0.93 (0.90, 0.97)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c47" rowspan="1" colspan="1">0.2 (0.0, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c47" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c47" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c47" rowspan="1" colspan="1">&#x02014;</td></tr><tr><th colspan="13" align="left" id="t4c48" scope="row" headers="t4c1 t4c7" rowspan="1">Poverty-to-income ratio</th></tr><tr><td align="left" id="t4c49" scope="row" headers="t4c1 t4c7 t4c48" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m70"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c49" rowspan="1" colspan="1">1,287</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c49" rowspan="1" colspan="1">1.17 (1.08, 1.25)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c49" rowspan="1" colspan="1">2.4 (0.9, 4.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c49" rowspan="1" colspan="1">1,348</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c49" rowspan="1" colspan="1">1.02 (0.95, 1.10)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c49" rowspan="1" colspan="1">1.4 (0.6, 2.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c49" rowspan="1" colspan="1">1,316</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c49" rowspan="1" colspan="1">0.90 (0.85, 0.95)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c49" rowspan="1" colspan="1">0.4 (0.1, 1.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c49" rowspan="1" colspan="1">1,243</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c49" rowspan="1" colspan="1">0.63 (0.60, 0.66)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c49" rowspan="1" colspan="1">1.2 (0.6, 2.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c50" scope="row" headers="t4c1 t4c7 t4c48" rowspan="1" colspan="1">&#x02002;<inline-formula><mml:math id="m71"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c50" rowspan="1" colspan="1">2,278</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c50" rowspan="1" colspan="1">0.99 (0.95, 1.03)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c50" rowspan="1" colspan="1">0.8 (0.4, 1.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c50" rowspan="1" colspan="1">2,304</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c50" rowspan="1" colspan="1">0.87 (0.84, 0.91)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c50" rowspan="1" colspan="1">0.4 (0.2, 0.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c50" rowspan="1" colspan="1">1,972</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c50" rowspan="1" colspan="1">0.78 (0.76, 0.81)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c50" rowspan="1" colspan="1">0.1 (0.0, 0.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c50" rowspan="1" colspan="1">1,967</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c50" rowspan="1" colspan="1">0.60 (0.57, 0.63)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c50" rowspan="1" colspan="1">0.4 (0.1, 0.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c51" scope="row" headers="t4c1 t4c7" rowspan="1">Medicaid</th></tr><tr><td align="left" id="t4c52" scope="row" headers="t4c1 t4c7 t4c51" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c52" rowspan="1" colspan="1">484</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c52" rowspan="1" colspan="1">1.11 (0.98, 1.23)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c52" rowspan="1" colspan="1">2.0 (0.0, 6.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c52" rowspan="1" colspan="1">590</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c52" rowspan="1" colspan="1">0.98 (0.89, 1.07)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c52" rowspan="1" colspan="1">1.2 (0.4, 2.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c52" rowspan="1" colspan="1">479</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c52" rowspan="1" colspan="1">0.82 (0.78, 0.87)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c52" rowspan="1" colspan="1">0.4 (0.0, 1.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c52" rowspan="1" colspan="1">597</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c52" rowspan="1" colspan="1">0.61 (0.56, 0.66)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c52" rowspan="1" colspan="1">0.8 (0.2, 1.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c53" scope="row" headers="t4c1 t4c7 t4c51" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c53" rowspan="1" colspan="1">2,383</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c53" rowspan="1" colspan="1">0.99 (0.95, 1.03)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c53" rowspan="1" colspan="1">0.8 (0.3, 1.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c53" rowspan="1" colspan="1">2,792</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c53" rowspan="1" colspan="1">0.87 (0.84, 0.90)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c53" rowspan="1" colspan="1">0.4 (0.2, 0.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c53" rowspan="1" colspan="1">3,091</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c53" rowspan="1" colspan="1">0.82 (0.79, 0.84)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c53" rowspan="1" colspan="1">0.3 (0.1, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c53" rowspan="1" colspan="1">2,843</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c53" rowspan="1" colspan="1">0.61 (0.59, 0.64)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c53" rowspan="1" colspan="1">0.7 (0.3, 1.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c54" scope="row" headers="t4c1 t4c7" rowspan="1">Housing age</th></tr><tr><td align="left" id="t4c55" scope="row" headers="t4c1 t4c7 t4c54" rowspan="1" colspan="1">&#x02002;Pre-1950</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c55" rowspan="1" colspan="1">600</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c55" rowspan="1" colspan="1">1.15 (1.05, 1.26)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c55" rowspan="1" colspan="1">1.3 (0.4, 2.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c55" rowspan="1" colspan="1">572</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c55" rowspan="1" colspan="1">0.99 (0.92, 1.07)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c55" rowspan="1" colspan="1">1.0 (0.9, 2.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c55" rowspan="1" colspan="1">576</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c55" rowspan="1" colspan="1">0.88 (0.83, 0.94)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c55" rowspan="1" colspan="1">0.1 (0.0, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c55" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c55" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c55" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" id="t4c56" scope="row" headers="t4c1 t4c7 t4c54" rowspan="1" colspan="1">&#x02002;1950&#x02013;1977</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c56" rowspan="1" colspan="1">919</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c56" rowspan="1" colspan="1">1.04 (0.97, 1.11)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c56" rowspan="1" colspan="1">1.7 (0.6, 3.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c56" rowspan="1" colspan="1">872</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c56" rowspan="1" colspan="1">0.90 (0.85, 0.95)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c56" rowspan="1" colspan="1">0.6 (0.2, 1.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c56" rowspan="1" colspan="1">829</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c56" rowspan="1" colspan="1">0.80 (0.76, 0.84)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c56" rowspan="1" colspan="1">0.1 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c56" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c56" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c56" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" id="t4c57" scope="row" headers="t4c1 t4c7 t4c54" rowspan="1" colspan="1">&#x02002;1978 to present</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c57" rowspan="1" colspan="1">1,253</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c57" rowspan="1" colspan="1">0.95 (0.90, 1.00)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c57" rowspan="1" colspan="1">0.3 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c57" rowspan="1" colspan="1">1,201</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c57" rowspan="1" colspan="1">0.83 (0.80, 0.87)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c57" rowspan="1" colspan="1">0.3 (0.0, 0.8)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c57" rowspan="1" colspan="1">1,286</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c57" rowspan="1" colspan="1">0.77 (0.74, 0.80)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c57" rowspan="1" colspan="1">0.3 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c57" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c57" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c57" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" id="t4c58" scope="row" headers="t4c1 t4c7 t4c54" rowspan="1" colspan="1">&#x02002;Unknown</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c58" rowspan="1" colspan="1">1,104</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c58" rowspan="1" colspan="1">1.20 (1.10, 1.30)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c58" rowspan="1" colspan="1">2.6 (0.8, 5.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c58" rowspan="1" colspan="1">1,150</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c58" rowspan="1" colspan="1">1.03 (0.98, 1.08)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c58" rowspan="1" colspan="1">1.6 (0.9, 2.4)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c58" rowspan="1" colspan="1">863</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c58" rowspan="1" colspan="1">0.91 (0.86, 0.96)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c58" rowspan="1" colspan="1">0.6 (0.1, 1.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="center" headers="t4c2 t4c6 t4c17 t4c58" rowspan="1" colspan="1">N/A</td><td align="center" headers="t4c2 t4c6 t4c18 t4c58" rowspan="1" colspan="1">&#x02014;</td><td align="center" headers="t4c2 t4c6 t4c19 t4c58" rowspan="1" colspan="1">&#x02014;</td></tr><tr><th colspan="13" align="left" id="t4c59" scope="row" headers="t4c1 t4c7" rowspan="1">Currently pregnant</th></tr><tr><td align="left" id="t4c60" scope="row" headers="t4c1 t4c7 t4c59" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c60" rowspan="1" colspan="1">585</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c60" rowspan="1" colspan="1">0.80 (0.71, 0.88)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c60" rowspan="1" colspan="1">0.4 (0.1, 0.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c60" rowspan="1" colspan="1">608</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c60" rowspan="1" colspan="1">0.65 (0.60, 0.70)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c60" rowspan="1" colspan="1">0.4 (0.0, 1.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c60" rowspan="1" colspan="1">115</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c60" rowspan="1" colspan="1">0.63 (0.57, 0.69)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c60" rowspan="1" colspan="1">0.0 (N/A, N/A)</td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c60" rowspan="1" colspan="1">103</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c60" rowspan="1" colspan="1">0.48 (0.39, 0.57)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c60" rowspan="1" colspan="1">2.8 (0.0, 11.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c61" scope="row" headers="t4c1 t4c7 t4c59" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c61" rowspan="1" colspan="1">2,960</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c61" rowspan="1" colspan="1">1.08 (1.03, 1.13)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c61" rowspan="1" colspan="1">1.4 (0.7, 2.2)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c61" rowspan="1" colspan="1">3,222</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c61" rowspan="1" colspan="1">0.93 (0.89, 0.97)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c61" rowspan="1" colspan="1">0.7 (0.4, 1.2)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c61" rowspan="1" colspan="1">2,307</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c61" rowspan="1" colspan="1">0.81 (0.78, 0.83)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c61" rowspan="1" colspan="1">0.3 (0.1, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c61" rowspan="1" colspan="1">2,181</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c61" rowspan="1" colspan="1">0.61 (0.59, 0.64)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c61" rowspan="1" colspan="1">0.7 (0.3, 1.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c62" scope="row" headers="t4c1 t4c7" rowspan="1">Smoking status<xref ref-type="table-fn" rid="TF12"><sup><italic>c</italic></sup></xref></th></tr><tr><td align="left" id="t4c63" scope="row" headers="t4c1 t4c7 t4c62" rowspan="1" colspan="1">&#x02002;Current smoker</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c63" rowspan="1" colspan="1">548</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c63" rowspan="1" colspan="1">0.99 (0.94, 1.04)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c63" rowspan="1" colspan="1">4.3 (1.9, 7.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c63" rowspan="1" colspan="1">572</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c63" rowspan="1" colspan="1">1.24 (1.16, 1.31)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c63" rowspan="1" colspan="1">1.0 (0.3, 2.2)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c63" rowspan="1" colspan="1">723</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c63" rowspan="1" colspan="1">1.08 (1.02, 1.13)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c63" rowspan="1" colspan="1">0.4 (0.1, 1.1)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c63" rowspan="1" colspan="1">510</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c63" rowspan="1" colspan="1">0.82 (0.77, 0.88)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c63" rowspan="1" colspan="1">1.6 (0.3, 4.0)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c64" scope="row" headers="t4c1 t4c7 t4c62" rowspan="1" colspan="1">&#x02002;Former smoker</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c64" rowspan="1" colspan="1">398</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c64" rowspan="1" colspan="1">1.02 (0.93, 1.10)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c64" rowspan="1" colspan="1">0.1 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c64" rowspan="1" colspan="1">387</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c64" rowspan="1" colspan="1">0.90 (0.83, 0.97)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c64" rowspan="1" colspan="1">0.1 (0.0, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c64" rowspan="1" colspan="1">358</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c64" rowspan="1" colspan="1">0.82 (0.77, 0.88)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c64" rowspan="1" colspan="1">0.2 (0.0, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c64" rowspan="1" colspan="1">320</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c64" rowspan="1" colspan="1">0.64 (0.60, 0.69)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c64" rowspan="1" colspan="1">0.1 (0.0, 0.4)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c65" scope="row" headers="t4c1 t4c7 t4c62" rowspan="1" colspan="1">&#x02002;Never smoker</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c65" rowspan="1" colspan="1">1,666</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c65" rowspan="1" colspan="1">1.49 (1.38, 1.60)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c65" rowspan="1" colspan="1">0.6 (0.3, 1.0)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c65" rowspan="1" colspan="1">1,608</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c65" rowspan="1" colspan="1">0.86 (0.81, 0.90)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c65" rowspan="1" colspan="1">0.9 (0.4, 1.4)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c65" rowspan="1" colspan="1">1,854</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c65" rowspan="1" colspan="1">0.79 (0.76, 0.82)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c65" rowspan="1" colspan="1">0.2 (0.1, 0.5)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c65" rowspan="1" colspan="1">2,054</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c65" rowspan="1" colspan="1">0.60 (0.57, 0.63)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c65" rowspan="1" colspan="1">0.7 (0.3, 1.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><th colspan="13" align="left" id="t4c66" scope="row" headers="t4c1 t4c7" rowspan="1">Secondhand tobacco smoke<xref ref-type="table-fn" rid="TF12"><sup><italic>c</italic></sup></xref></th></tr><tr><td align="left" id="t4c67" scope="row" headers="t4c1 t4c7 t4c66" rowspan="1" colspan="1">&#x02002;Yes</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c67" rowspan="1" colspan="1">833</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c67" rowspan="1" colspan="1">1.34 (1.24, 1.43)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c67" rowspan="1" colspan="1">3.4 (1.4, 6.3)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c67" rowspan="1" colspan="1">763</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c67" rowspan="1" colspan="1">1.16 (1.08, 1.24)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c67" rowspan="1" colspan="1">1.4 (0.5, 2.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c67" rowspan="1" colspan="1">640</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c67" rowspan="1" colspan="1">1.01 (0.95, 1.06)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c67" rowspan="1" colspan="1">0.3 (0.0, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c67" rowspan="1" colspan="1">438</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c67" rowspan="1" colspan="1">0.79 (0.70, 0.87)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c67" rowspan="1" colspan="1">2.5 (0.5, 5.9)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr><tr><td align="left" id="t4c68" scope="row" headers="t4c1 t4c7 t4c66" rowspan="1" colspan="1">&#x02002;No</td><td align="char" char="." headers="t4c2 t4c3 t4c8 t4c68" rowspan="1" colspan="1">3,042</td><td align="char" char="(" headers="t4c2 t4c3 t4c9 t4c68" rowspan="1" colspan="1">0.97 (0.93, 1.01)</td><td align="char" char="(" headers="t4c2 t4c3 t4c10 t4c68" rowspan="1" colspan="1">0.6 (0.3, 1.0)</td><td align="char" char="." headers="t4c2 t4c4 t4c11 t4c68" rowspan="1" colspan="1">3,030</td><td align="char" char="(" headers="t4c2 t4c4 t4c12 t4c68" rowspan="1" colspan="1">0.85 (0.82, 0.89)</td><td align="char" char="(" headers="t4c2 t4c4 t4c13 t4c68" rowspan="1" colspan="1">0.5 (0.2, 0.9)</td><td align="char" char="." headers="t4c2 t4c5 t4c14 t4c68" rowspan="1" colspan="1">2,917</td><td align="char" char="(" headers="t4c2 t4c5 t4c15 t4c68" rowspan="1" colspan="1">0.78 (0.76, 0.81)</td><td align="char" char="(" headers="t4c2 t4c5 t4c16 t4c68" rowspan="1" colspan="1">0.3 (0.1, 0.6)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td><td align="char" char="." headers="t4c2 t4c6 t4c17 t4c68" rowspan="1" colspan="1">1,681</td><td align="char" char="(" headers="t4c2 t4c6 t4c18 t4c68" rowspan="1" colspan="1">0.62 (0.59, 0.66)</td><td align="char" char="(" headers="t4c2 t4c6 t4c19 t4c68" rowspan="1" colspan="1">0.4 (0.1, 0.7)<xref ref-type="table-fn" rid="TF10"><sup><italic>a</italic></sup></xref></td></tr></tbody></table><table-wrap-foot><fn id="TF9"><p>Note: &#x02014;, no data; N/A, not applicable; indicates that the data are not available in the survey cycle or that the upper/lower limits of a confidence interval could not be derived due to small sample sizes.</p></fn><fn id="TF10"><label>a</label><p>Relative standard error (RSE) <inline-formula><mml:math id="m72"><mml:mrow><mml:mo>&#x0003e;</mml:mo><mml:mn>30</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math></inline-formula>.</p></fn><fn id="TF11"><label>b</label><p>Ever breastfed includes women who answered yes to currently breastfeeding.</p></fn><fn id="TF12"><label>c</label><p>Restricted to women 20&#x02013;49 years of age because women <inline-formula><mml:math id="m73"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>20</mml:mn><mml:mtext>&#x02009; years</mml:mtext></mml:mrow></mml:math></inline-formula> of age were not asked the same tobacco questions as older women and therefore were not included in this analysis.</p></fn></table-wrap-foot></table-wrap><p>From 1999 to 2002 (<xref rid="t4" ref-type="table">Table 4</xref>), the GM BLL was <inline-formula><mml:math id="m74"><mml:mrow><mml:mn>1.05</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 1.01, 1.09) in women 15&#x02013;49 years of age, and 1.3% of women of childbearing age (15&#x02013;49 y) had BLLs <inline-formula><mml:math id="m75"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.7, 2.0). Higher BLLs were associated with older age, non-Hispanic black, or Mexican-American race/ethnicity, birthplace outside of the United States, ever being pregnant, a higher number of live births, never breastfed, lower PIR (<inline-formula><mml:math id="m76"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula>), not being currently pregnant, current smoking cigarettes, and secondhand smoke exposure.</p><p>From 2003 to 2006 (<xref rid="t4" ref-type="table">Table 4</xref>), the GM BLL was <inline-formula><mml:math id="m77"><mml:mrow><mml:mn>0.91</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.88, 0.95) in women 15&#x02013;49 years of age, and 0.7% of women of childbearing age (15&#x02013;49 y old) had BLLs <inline-formula><mml:math id="m78"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.4, 1.1). Higher BLLs were associated with older age, birthplace in Mexico, ever pregnant, a higher number of live births, never breastfed, and not currently pregnant.</p><p>From 2007 to 2010 (<xref rid="t4" ref-type="table">Table 4</xref>), the GM BLL was <inline-formula><mml:math id="m79"><mml:mrow><mml:mn>0.81</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.79, 0.84) in women 15&#x02013;49 years of age, and 0.3% of women of childbearing age (15&#x02013;49 y old) had BLLs <inline-formula><mml:math id="m80"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.1, 0.5). Higher BLLs were associated with older age, birthplace outside the United States, ever pregnant, a higher number of live births, lower PIR (<inline-formula><mml:math id="m81"><mml:mrow><mml:mo>&#x0003c;</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula>), and not currently pregnant. In the most recent survey years (2011&#x02013;2016) (<xref rid="t4" ref-type="table">Table 4</xref>), the GM BLL was <inline-formula><mml:math id="m82"><mml:mrow><mml:mn>0.61</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.59, 0.64) in women 15&#x02013;49 years of age, and 0.7% of women of childbearing age (15&#x02013;49 y old) had BLLs <inline-formula><mml:math id="m83"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (95% CI: 0.4, 1.2), which represents over 500,000 U.S. women (<xref rid="c61" ref-type="bibr">U.S. Census Bureau 2017</xref>). Higher BLLs were associated with older age, other race/ethnicity, ever pregnant, and not currently pregnant.</p></sec><sec id="s4"><title>Discussion</title><p>The GM BLL among U.S women of childbearing age has declined substantially from 10.37 to <inline-formula><mml:math id="m84"><mml:mrow><mml:mn>0.61</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> over the 40-y period of this analysis (1976&#x02013;2016). The reported generational decline in BLLs corresponds to successful policy initiatives over this period that reduced sources of lead in gasoline, paint, plumbing fixtures, and other consumer products (<xref rid="c20" ref-type="bibr">Dignam et&#x000a0;al. 2019</xref>). In NHANES II, the first to measure BLLs, an astonishing 98.3% of U.S. women 15&#x02013;49 years of age had BLLs <inline-formula><mml:math id="m85"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> compared to less than 1% with BLLs <inline-formula><mml:math id="m86"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> in the most recent survey period of this analysis (2011&#x02013;2016). However, despite the dramatic declines in population BLLs over time, this still represents over 500,000 women of childbearing age in the United States who have exposure to lead above the CDC action level, BLLs <inline-formula><mml:math id="m87"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> for pregnant women (<xref rid="c22" ref-type="bibr">Ettinger and Wengrovitz 2010</xref>; <xref rid="c61" ref-type="bibr">U.S. Census Bureau 2017</xref>). A BLL of <inline-formula><mml:math id="m88"><mml:mrow><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> or greater in a pregnant woman flags the occurrence of prior or ongoing lead exposure that may not otherwise be recognized. The vulnerability of a developing fetus to adverse effects of lead and the possibility of preventing additional postnatal exposures justify intervention for pregnant women showing evidence of lead exposure at these levels.</p><p>Epidemiologic and experimental evidence suggest that lead is a potent reproductive and developmental toxicant (<xref rid="c43" ref-type="bibr">Landrigan et&#x000a0;al. 2000</xref>; <xref rid="c45" ref-type="bibr">NTP 2012</xref>), but the biological mechanisms of effect are not fully understood. Maternal exposure to high levels of lead (BLL of <inline-formula><mml:math id="m89"><mml:mrow><mml:mn>10</mml:mn><mml:mo>&#x02013;</mml:mo><mml:mn>30</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>) have been consistently linked to an increased risk for spontaneous abortion (<xref rid="c34" ref-type="bibr">Hertz-Picciotto 2000</xref>). Lead also has been identified as a statistically significant predictor of maternal blood pressure (<xref rid="c55" ref-type="bibr">Rothenberg et&#x000a0;al. 1999</xref>) and associated with increased risk for gestational hypertension (<xref rid="c40" ref-type="bibr">Karumanchi et&#x000a0;al. 2005</xref>; <xref rid="c42" ref-type="bibr">Kosnett et&#x000a0;al. 2007</xref>; <xref rid="c54" ref-type="bibr">Rothenberg et&#x000a0;al. 2002</xref>). It remains uncertain at what exposure level risk begins to increase and whether or not lead-induced increases in blood pressure during pregnancy may lead to severe hypertension or preeclampsia.</p><p>Elevated BLLs among pregnant and lactating women are a particular problem due to an increased risk for exposure to developing fetuses and breastfeeding infants during key stages of development. There is no safe level of lead exposure in children (<xref rid="c1" ref-type="bibr">Advisory Committee on Childhood Lead Poisoning Prevention 2012</xref>). Although data are inconsistent, maternal lead exposure may increase the risk for preterm delivery, fetal growth restriction, and decreased postnatal growth (<xref rid="c15" ref-type="bibr">Cheng et&#x000a0;al. 2017</xref>; <xref rid="c26" ref-type="bibr">Gonz&#x000e1;lez-Coss&#x000ed;o et&#x000a0;al. 1997</xref>; <xref rid="c29" ref-type="bibr">Greene and Ernhart 1991</xref>; <xref rid="c37" ref-type="bibr">Ingelfinger and Schnaper 2005</xref>; <xref rid="c56" ref-type="bibr">Sanin et&#x000a0;al. 2001</xref>). Fetal lead exposure is predictive of adverse neurodevelopment later in life (<xref rid="c57" ref-type="bibr">Schnaas et&#x000a0;al. 2006</xref>; <xref rid="c62" ref-type="bibr">Wasserman et&#x000a0;al. 2000</xref>), and these effects are independent of the effects of postnatal exposure (<xref rid="c25" ref-type="bibr">Gomaa et&#x000a0;al. 2002</xref>; <xref rid="c36" ref-type="bibr">Hu et&#x000a0;al. 2006</xref>).</p><p>There is increasing awareness that unintended exposure to environmental contaminants, such as lead, may be adversely affecting maternal and infant health, including the ability to become pregnant, maintain a healthy pregnancy, and have a healthy baby. Women and children may be disproportionately affected by environmental risk factors that are associated with poverty and social injustice, thus making them particularly vulnerable to adverse health effects of such environmental exposures (<xref rid="c58" ref-type="bibr">Silbergeld and Patrick 2005</xref>). Maternal lead exposure is a serious public health concern because lead remains a widespread environmental health hazard, and current efforts at primary prevention have focused almost entirely on children. Identifying women at risk and implementing effective strategies for prevention of fetal and early infant lead exposure is an important public health priority. In fact, it may be necessary to consider prepregnancy interventions among certain high-risk groups because research suggests that screening and intervention after than the first trimester may be too late to prevent fetal neurotoxic effects (<xref rid="c36" ref-type="bibr">Hu et&#x000a0;al. 2006</xref>).</p><p>In particular, lead exposure remains a concern for women in certain population subgroups at increased risk for exposure, such as foreign-born recent immigrants, and those with specific opportunity for exposure, such as individuals who may be exposed in the workplace or through the use of certain consumer products that contain lead. The U.S. Occupational Safety and Health Administration (OSHA) Lead Standard 1910.1025, established in the 1970s and updated in the 1980s, requires workers be removed from lead exposure when BLLs are equal to or greater than <inline-formula><mml:math id="m90"><mml:mrow><mml:mn>50</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (construction industry) or <inline-formula><mml:math id="m91"><mml:mrow><mml:mn>60</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (general industry), and allows workers to return to work when the BLL is below <inline-formula><mml:math id="m92"><mml:mrow><mml:mn>40</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> (<xref rid="c63" ref-type="bibr">OSHA 2012</xref>). However, current guidelines for medical management of lead-exposed adults (<xref rid="c42" ref-type="bibr">Kosnett et&#x000a0;al. 2007</xref>) recommend that it is advisable for pregnant women to avoid occupational or avocational exposures that would result in blood lead concentrations <inline-formula><mml:math id="m93"><mml:mrow><mml:mo>&#x0003e;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula>, and, in 2015, NIOSH designated BLLs <inline-formula><mml:math id="m94"><mml:mrow><mml:mo>&#x02265;</mml:mo><mml:mn>5</mml:mn><mml:mspace width="0.3em"/><mml:mi mathvariant="normal">&#x003bc;</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mo>/</mml:mo><mml:mtext>dL</mml:mtext></mml:mrow></mml:math></inline-formula> as elevated (<xref rid="c12" ref-type="bibr">CDC 2018b</xref>).</p><p>Lee et&#x000a0;al. (<xref rid="c44" ref-type="bibr">2005</xref>) studied determinants of blood lead in U.S. women of childbearing age using data from NHANES III (1988&#x02013;1994) and found a number of factors associated with higher BLLs, including age, black or Hispanic race/ethnicity, living in the northeast region or in urban areas, lower educational level, poverty, lower hematocrit, alcohol use, cigarette smoking, and serum protoporphyrin level (<xref rid="c44" ref-type="bibr">Lee et&#x000a0;al. 2005</xref>). In the more recent years, highlighted by our current analysis, several of these risk factors remain, including increased maternal age, race/ethnicity, poverty, and birth outside the United States, suggesting that lead exposure persists in certain segments of the population due to sociodemographic disparities.</p><p>Interestingly, we found that women &#x0201c;not currently pregnant&#x0201d; had higher BLLs than pregnant women in most survey cycles, which is counterintuitive given bone lead mobilization during pregnancy. However, this group of &#x0201c;not currently pregnant&#x0201d; includes women of different ages, parities, lead exposure histories, and other characteristics that may also be associated with higher BLLs (and bone lead levels). We did not conduct multivariate analyses, so it is not possible to tease out the reasons for this paradoxical finding.</p><p>The major limitation of this analysis is the incomplete ability to conduct subgroup and multivariate analyses due to small cell sizes, particularly at higher BLLs. Despite combining 40 y of survey data, the population subsample with valid blood lead test results is limited within survey periods. Therefore, several estimates, as evaluated by the RSE according to NHANES analytic guidelines, are unstable and should be reviewed with caution. Nonetheless, our analysis provides important information on long-term trends in BLLs among women of childbearing age in the United States.</p><p>The U.S. Preventive Services Task Force recently highlighted key gaps in the evidence that is insufficient to either support or recommend against blood lead screening in pregnant women and children (<xref rid="c7" ref-type="bibr">Cantor et&#x000a0;al. 2019</xref>; <xref rid="c18" ref-type="bibr">Curry et&#x000a0;al. 2019</xref>; <xref rid="c38" ref-type="bibr">Jin 2019</xref>; <xref rid="c59" ref-type="bibr">Spanier et&#x000a0;al. 2019</xref>). The American College of Obstetricians and Gynecologists (ACOG), following the CDC&#x02019;s 2010 guidelines (<xref rid="c22" ref-type="bibr">CDC 2010</xref>), recommends that providers ask about common risk factors for lead exposure and perform blood lead testing of pregnant women if risk factors are identified (<xref rid="c16" ref-type="bibr">ACOG 2012</xref>).</p><p>Overall, current lead exposure in U.S. women of childbearing age is generally low. The estimates presented here, based on a nationally representative sample, can be generalized to the U.S. population. However, an increasing number of reports indicate that highly exposed women do still exist, and local surveillance may identify additional risk factors for specific population subgroups. The identification of high-risk women who are pregnant or intend to become pregnant before they pass their own lead burden on to their developing fetus or breastfeeding infant is important, as there is no apparent threshold for the adverse effects of lead in children. BLLs remain higher for certain children at risk, particularly those in minority populations, from low-income families, and/or who live in older homes (<xref rid="c12" ref-type="bibr">CDC 2018b</xref>, <xref rid="c13" ref-type="bibr">2018c</xref>). Some of these children may begin their lead exposure <italic>in utero</italic>. Continued efforts to preemptively eliminate or control sources of lead, particularly in high-risk communities, screen persons at highest risk for exposure, and provide timely interventions for those identified with elevated BLLs will help to protect future generations. The prevention of lead exposure and its adverse health effects remains an important public health issue.</p></sec></body><back><ack><title>Acknowledgments</title><p>The findings and conclusions in this report are those of the author(s) and do not necessarily represent the views of the CDC and Prevention or the Agency for Toxic Substances and Disease Registry. Data files were created by Karon C. Lewis at the NCHS Research Data Center.</p></ack><fn-group><fn fn-type="financial-disclosure"><p>The authors declare they have no actual or potential competing financial interests.</p></fn><fn fn-type="other" specific-use="pdf-only"><p><bold>Note to readers with disabilities:</bold>
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