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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 manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0370476</journal-id><journal-id journal-id-type="pubmed-jr-id">439</journal-id><journal-id journal-id-type="nlm-ta">Am J Obstet Gynecol</journal-id><journal-id journal-id-type="iso-abbrev">Am. J. Obstet. Gynecol.</journal-id><journal-title-group><journal-title>American journal of obstetrics and gynecology</journal-title></journal-title-group><issn pub-type="ppub">0002-9378</issn><issn pub-type="epub">1097-6868</issn></journal-meta><article-meta><article-id pub-id-type="pmid">24189168</article-id><article-id pub-id-type="pmc">4626878</article-id><article-id pub-id-type="doi">10.1016/j.ajog.2013.10.884</article-id><article-id pub-id-type="manuscript">HHSPA730369</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Blood mercury concentrations in pregnant and non-pregnant women in the United States; National Health and Nutrition Examination Survey 1999&#x02013;2006</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Razzaghi</surname><given-names>Hilda</given-names></name><degrees>PhD, MSPH</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Tinker</surname><given-names>Sarah C.</given-names></name><degrees>PhD, MPH</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Crider</surname><given-names>Krista</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA</aff><aff id="A2"><label>2</label>Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee</aff><author-notes><corresp id="FN1">Correspondence and reprint requests to: Hilda Razzaghi, PhD, MSPH, Mail-Stop E86, 1600 Clifton Road, Atlanta, GA 30333, Phone: 404-498-0126/Fax: 404-498-3050/ <email>hir2JO@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>17</day><month>10</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>01</day><month>11</month><year>2013</year></pub-date><pub-date pub-type="ppub"><month>4</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>30</day><month>10</month><year>2015</year></pub-date><volume>210</volume><issue>4</issue><fpage>357.e1</fpage><lpage>357.e9</lpage><!--elocation-id from pubmed: 10.1016/j.ajog.2013.10.884--><abstract><sec id="S1"><title>Background</title><p id="P1">Prenatal exposure to methylmercury is associated with adverse neurological development in children. We examined total blood mercury (BHg) concentrations and predictors of higher BHg concentrations in pregnant and non-pregnant women.</p></sec><sec id="S2"><title>Methods</title><p id="P2">We analyzed data from 1,183 pregnant and 5,587 non-pregnant women aged 16&#x02013;49 years from the 1999&#x02013;2006 National Health and Nutrition Examination Survey (NHANES). We estimated geometric mean BHg concentrations and characteristics associated with higher mercury concentrations (&#x02265;3.5 &#x003bc;g/L) in crude and adjusted linear and logistic regression models.</p></sec><sec id="S3"><title>Results</title><p id="P3">After adjusting for age and race/ethnicity, geometric mean BHg concentrations were clinically similar but significantly lower for pregnant (0.81 &#x003bc;g/L, 95% confidence interval [CI]: 0.71, 0.91) and non-pregnant women of childbearing age (0.93 &#x003bc;g/L, 95% CI: 0.87, 0.99); 94% of pregnant and 89% of non-pregnant women had BHg concentrations below 3.5 &#x003bc;g/L. The most significant predictor of higher BHg concentrations for both pregnant and non-pregnant women was any seafood consumption vs. no consumption in the last 30 days (Odds ratio [OR]: 18.7, 95% CI: 4.9, 71.1; OR: 15.5, 95% CI: 7.5, 32.1, respectively). Other characteristics associated with &#x02265;3.5 &#x003bc;g/L BHg concentrations were older age (35+ years), higher education (greater than high school), and higher family income to poverty ratio (3.501+) for both pregnant and non-pregnant women.</p></sec><sec id="S4"><title>Conclusion</title><p id="P4">Pregnancy status was not strongly associated with BHg concentrations in women of childbearing age and BHg concentrations above the 3.5 &#x003bc;g/L cut were uncommon.</p></sec></abstract><kwd-group><kwd>pregnant</kwd><kwd>mercury</kwd><kwd>seafood</kwd><kwd>NHANES</kwd></kwd-group></article-meta></front><body><sec sec-type="intro" id="S5"><title>Introduction</title><p id="P5">Mercury is a naturally-occurring element that is widespread in the environment and exists as elemental, inorganic, and organic mercury (methylmercury) <sup><xref rid="R1" ref-type="bibr">1</xref></sup>. Inorganic and elemental mercury, measured in urine, are usually associated with dental amalgams, occupational exposures, and herbs and medicines adulterated with inorganic mercury <sup><xref rid="R2" ref-type="bibr">2</xref></sup>. Methylmercury (MeHg) exposure, which can be estimated by measuring concentrations in blood and hair comes almost exclusively from consumption of fish or shellfish <sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref></sup>. Studies have consistently reported that increasing frequency of seafood intake is the single most influential predictor of blood MeHg concentrations <sup><xref rid="R6" ref-type="bibr">6</xref>&#x02013;<xref rid="R9" ref-type="bibr">9</xref></sup>.</p><p id="P6">Fetuses are a high-risk group for MeHg exposure because of the increased susceptibility of the developing brain to environmental insults <sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup>. Three long-term studies, the Seychelles Island study <sup><xref rid="R11" ref-type="bibr">11</xref>&#x02013;<xref rid="R13" ref-type="bibr">13</xref></sup>, the Faroe Islands study <sup><xref rid="R14" ref-type="bibr">14</xref>&#x02013;<xref rid="R16" ref-type="bibr">16</xref></sup>, and a third study conducted in New Zealand<sup><xref rid="R17" ref-type="bibr">17</xref>&#x02013;<xref rid="R19" ref-type="bibr">19</xref></sup>, have investigated MeHg in children who were prenatally exposed to MeHg through maternal seafood consumption. MeHg dose-related deficits in tests of memory, attention, and language were observed in children of different ages <sup><xref rid="R13" ref-type="bibr">13</xref>&#x02013;<xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R19" ref-type="bibr">19</xref></sup>. Given that permanent damage to the developing brain can occur, MeHg exposure in pregnant women is a source for concern <sup><xref rid="R10" ref-type="bibr">10</xref></sup>. The US Environmental Protection Agency (EPA) set the reference dose (RfD) - a dose which is unlikely to have deleterious effects - for MeHg at 0.1 &#x003bc;g/Kg/day <sup><xref rid="R20" ref-type="bibr">20</xref></sup>.</p><p id="P7">Total blood mercury (BHg) includes all form of mercury and is used in biomonitoring as a proxy for MeHg, although the distribution of mercury types in blood can vary <sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R22" ref-type="bibr">22</xref></sup>. Although the RfD varies by body weight, the value 5.8 &#x003bc;g/L (ppb) for BHg has been widely used in place of a weight-specific value in studies of mercury concentrations and health outcomes <sup><xref rid="R23" ref-type="bibr">23</xref></sup>. Originally, it was thought that cord blood and maternal blood mercury levels were equivalent when calculating the RfD <sup><xref rid="R20" ref-type="bibr">20</xref></sup>; however, studies comparing maternal and cord blood concentrations of MeHg have found that cord-blood mercury is higher than maternal blood mercury. According to the EPA, a review of the literature identified 21 studies that reported cord-blood mercury and maternal blood mercury data; these data indicated that cord-blood mercury concentrations are higher than maternal mercury concentrations, with a ratio of approximately 1.7 <sup><xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R24" ref-type="bibr">24</xref>&#x02013;<xref rid="R26" ref-type="bibr">26</xref></sup>. Studies have therefore suggested and used a lower RfD reflecting exposures equivalent to RfD of 3.5 &#x003bc;g/L total blood mercury concentration <sup><xref rid="R24" ref-type="bibr">24</xref>&#x02013;<xref rid="R26" ref-type="bibr">26</xref></sup>.</p><p id="P8">Two previous studies have examined and compared BHg concentrations in pregnant and non-pregnant women; one reported no significant differences between the two groups using hair total mercury concentrations from NHANES 1999&#x02013;2000 <sup><xref rid="R27" ref-type="bibr">27</xref></sup>, and the other found significantly lower concentrations of total BHg in pregnant women aged 17&#x02013;39 years using NHANES 2003&#x02013;2010 <sup><xref rid="R28" ref-type="bibr">28</xref></sup>. The objective of our study was to assess whether predictors of BHg concentrations were the same in pregnant and non-pregnant women.</p></sec><sec sec-type="methods" id="S6"><title>Methods</title><sec id="S7"><title>Data Source</title><p id="P9">We used the National Health and Nutrition Examination Survey (NHANES) data obtained from 1999 through 2006. NHANES is a stratified, multistage probability sample of the civilian, noninstitutionalized population of the U.S. conducted by the National Center for Health Statistics (NCHS) of the U.S. Centers for Disease Control and Prevention (CDC). The NCHS Research Ethics Review Board approved the NHANES protocol. The consent form to participate in the survey as well to store specimens of their blood for future research were signed by all participants of the survey. NHANES includes an in-home questionnaire and an examination at a Mobile Examination Center (MEC) <sup><xref rid="R29" ref-type="bibr">29</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup>.</p></sec><sec id="S8"><title>Study Sample</title><p id="P10">Our study included all women 16&#x02013;49 years of age, who completed both the interview and examination portions of NHANES. The NHANES variable RIDEXPREG was used to determine pregnancy status for this analysis. Women who were identified as pregnant through a positive lab pregnancy test or who self-reported as pregnant at the time of the interview were considered pregnant and those who specified that they were not pregnant at the time of the interview and who did not test positive in the lab pregnancy test were considered non-pregnant. Women with missing pregnancy status and those for whom pregnancy status could not be ascertained were not included in this analysis. NHANES 1999&#x02013;2006 were used for this study since pregnant women aged 15&#x02013;39 years were oversampled during these years. We excluded NHANES 2007&#x02013;2010 because pregnant women were no longer oversampled during this time and therefore they would have been disproportionately represented in the analysis, with much less stable estimates able to be produced from these later data. In addition, beginning in 2007 the age ranges included in the public release dataset for pregnant women were restricted to 20 to 44 years of age, while for previous years there was essentially no bound (variable available for ages 8 to 59 years).</p></sec><sec id="S9"><title>Blood Mercury Measurement</title><p id="P11">Total blood mercury (BHg) was measured in micrograms per liter (&#x003bc;g/L) of whole blood using cold vapor atomic absorption spectrometry for NHANES 1999&#x02013;2002, and inductively-couple plasma dynamic reaction cell mass spectrometry for NHANES 2003&#x02013;2006. There is no documentation of differences due to methodologic changes in BHg measurement. Analysis of blood samples was done at the CDC&#x02019;s Division of Laboratory Sciences, National Center for Environmental Health (NCEH). Other than measurement technique, no changes in lab procedures or equipment were reported over the study period. The BHg limit of detection (LOD) for both methods was 0.14 &#x003bc;g/L; 58 pregnant and 197 non-pregnant women in this study had BHg concentrations below 0.14 &#x003bc;g/L (weighted percentages: 5.6 and 3.2, respectively). According to the NHANES, results below the LOD are replaced with a value equal to the detection limit divided by the square root of two. These values in NHANES cycles for this analysis were 0.07 and 0.1 and were used for our analysis. We excluded pregnant (N=77) and non-pregnant (N=261) women with missing blood mercury concentrations. Because we were primarily interested in the potential for fetal exposure to MeHg, we defined maternal methyl mercury concentrations at or above 3.5 &#x003bc;g/L as high exposure concentrations <sup><xref rid="R24" ref-type="bibr">24</xref>&#x02013;<xref rid="R26" ref-type="bibr">26</xref></sup>.</p></sec><sec id="S10"><title>Mercury intake via Fish and Shellfish Consumption and Other Covariates</title><p id="P12">Survey participants, including all women aged 16 to 49 years of age, were asked about fish and shellfish consumption during the previous 30 days. Respondents were asked whether they consumed fish and/or shellfish in the past 30 days, and if so, the frequency of consumption during that time. Participants were then asked about consumption of different types of fish and shellfish including a category for &#x0201c;other and unknown&#x0201d; fish or shellfish. No information was obtained about portion sizes or preparation methods.</p><p id="P13">Demographic information including race and ethnicity, educational attainment, and income and family size were self-reported at the time of the interview. We categorized race and ethnicity into the following categories: non-Hispanic white, non-Hispanic black, Mexican American and other race/ethnicity, which includes other Hispanics, Asians, Pacific Islanders, Native Americans, Alaskan Natives, and those with multiple races and/or ethnicities. NHANES data do not allow representative estimates to be made for racial/ethnic subgroups other than non-Hispanic white, non-Hispanic Black and Mexican Americans, therefore, these subgroups were combined. Family income to poverty ratio (FIPR) is the total household income divided by the poverty threshold for the year of the interview. The poverty threshold is determined annually by the U.S. Census Bureau, taking into account geographic location, rate of inflation, and family size <sup><xref rid="R31" ref-type="bibr">31</xref></sup>.</p></sec><sec id="S11"><title>Statistical Analysis</title><p id="P14">Analyses were conducted using SAS (version 9.3; SAS Institute, Cary, NC) and SUDAAN (version 10.0; Research Triangle Institute, Research Triangle Park, NC). MEC examination sample weights and the appropriate sample design variables were used in the analysis to account for the complex survey design, oversampling, and differential nonresponse and noncoverage in order to obtain nationally representative estimates of the U.S. civilian non-institutionalized population.</p><p id="P15">The distribution of BHg concentrations in pregnant and non-pregnant women were described through the calculation of percentiles and geometric means. SUDAAN&#x02019;s Taylor series linearization method was used to calculate 95% confidence intervals (CIs) for the estimated prevalences, and chi-square statistics were used to compare pregnant to non-pregnant women. We estimated both crude and adjusted geometric means of mercury concentration, with age group and race/ethnicity controlled for in the adjusted estimate. Logistic regression was used to examine the potential associations between having high BHg concentrations and selected characteristics including age, race/ethnicity, education, socioeconomic status, and seafood consumption in pregnant and, separately, non-pregnant women.</p></sec></sec><sec sec-type="results" id="S12"><title>Results</title><p id="P16">We analyzed data on 6,770 women: 1,183 pregnant and 5,587 non-pregnant women from 1999 to 2006 who had completed interviews, exams, and valid pregnancy data. Geometric mean BHg concentrations were significantly lower in pregnant women compared to non-pregnant women (0.71 and 0.92 &#x003bc;g/L, respectively; p&#x0003c;0.0001). After adjustment for age and race/ethnicity, the difference in geometric mean BHg concentration between the groups was smaller, 0.81 and 0.93&#x003bc;g/L, respectively, although still statistically significant (<xref rid="T1" ref-type="table">Table 1</xref>). We also examined geometric mean BHg concentrations by trimester of pregnancy alone as well as adjusting for age and found no significant differences by trimester of pregnancy (p=0.88). There were statistically significant differences between pregnant and non-pregnant women by age (p=&#x0003c;0.0001) and race/ethnicity (p=&#x0003c;0.0001). Among pregnant women, 91% were younger than 35 years of age, compared to approximately 53% of non-pregnant women; and a greater percentage of pregnant women were Mexican American compared to non-pregnant women, approximately 16% and 9%, respectively (<xref rid="T1" ref-type="table">Table 1</xref>). Pregnant women were less likely to have reported consuming any seafood (fish or shellfish) compared to non-pregnant (73.0% and 78.1%, respectively; p=0.05), and fish specifically (62.5% and 68.8%, respectively; p=0.03) in the last 30 days but not shellfish. There were no significant differences observed between pregnant and non-pregnant women in education level or family income to poverty ratio (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P17">In examining the factors associated with having a high BHg concentration (at or above 3.5 &#x003bc;g/L), we observed that pregnancy status was not a strong predictor after adjusting for other factors (Odds Ratio [OR] for pregnant vs. non-pregnant: 0.7; 95% CI: 0.5, 1.0). Reported seafood consumption was the strongest predictor of high BHg concentrations for both pregnant (OR: 18.7; 95% CI: 4.9, 71.1) and non-pregnant (OR: 15.5; 95% CI: 7.5, 32.1) women. Among non-pregnant women, other factors significantly associated with high BHg concentrations were increasing age (OR for 26&#x02013;35 vs. 16&#x02013;25 years: 1.8; 95% CI: 1.3, 2.5; OR for 36&#x02013;49 vs. 16&#x02013;25 years: 2.0; 95% CI: 1.5, 2.7), other/multiracial ethnicity (OR compared to non-Hispanic white: 2.2; 95% CI: 1.4, 3.4), greater than high school education (OR compared to less than high school: 1.4; 95% CI: 1.0, 1.9), and higher family income to poverty ratio (OR for FIPR&#x0003e;3.5 compared to FIPR&#x02264;1.3: 95% CI: 2.1; 1.4, 3.3) for non-pregnant women. Similar, but non-significant patterns were observed for pregnant women, for whom the sample size was smaller (<xref rid="T2" ref-type="table">Table 2</xref>).</p><p id="P18">We assessed trends in BHg concentrations stratified by several factors among both pregnant and non-pregnant women, for which similar patterns were seen. Overall, 94% of pregnant and 89% of non-pregnant women had BHg concentrations below 3.5 &#x003bc;g/L. BHg concentrations increased with increasing age for both pregnant and non-pregnant women (<xref rid="F1" ref-type="fig">Figure 1</xref>). There was little difference in the distribution of BHg concentrations by race/ethnicity (<xref rid="F2" ref-type="fig">Figure 2</xref>), except among those in the highest 20% of the distribution, for whom non-Hispanic whites and those classified in the &#x0201c;other&#x0201d; race/ethnicity group had higher BHg concentrations than non-Hispanic blacks or Mexican Americans; Mexican Americans had the lowest BHg concentrations across the entire distribution for both groups. BHg concentrations also increased with increasing educational attainment (<xref rid="F3" ref-type="fig">Figure 3</xref>) and FIPR (<xref rid="F4" ref-type="fig">Figure 4</xref>), with both pregnant and non-pregnant women with highest education and FIPR having markedly higher BHg concentrations. Increasing seafood consumption was associated with higher BHg concentrations for both pregnant and non-pregnant women (<xref rid="F5" ref-type="fig">Figure 5</xref>), with over 10% of women in each group who consumed seafood on 3 or more occasions in the past 30 days having BHg above 3.5&#x003bc;g/L.</p><p id="P19">To assess whether differences in the types of seafood consumed could explain the small but statistically significant difference in the adjusted geometric mean BHg concentrations observed among pregnant and non-pregnant women, we estimated the geometric mean BHg concentrations for pregnant and non-pregnant women stratified by seafood intake. After adjusting for age group and race/ethnicity, the geometric mean BHg concentration among those who reported consumption of seafood in the past 30 days was 0.93&#x003bc;g/L (95% CI: 0.89, 0.98) for pregnant women and 1.10&#x003bc;g/L (95% CI: 1.07, 1.13) for non-pregnant women (p=0.004). Among those who reported no consumption of seafood in the past 30 days, the adjusted geometric mean BHg among pregnant women was 0.45 (95% CI: 0.38, 0.52) &#x003bc;g/L and among non-pregnant women was 0.47 (95% CI: 0.43, 0.50) &#x003bc;g/L (p=0.64).</p></sec><sec sec-type="discussion" id="S13"><title>Discussion</title><p id="P20">We observed that geometric mean BHg concentrations were slightly, but statistically significantly, lower in pregnant women compared to non-pregnant women after adjusting for age and race/ethnicity. Given that the most significant driver of high BHg concentrations was seafood consumption for both pregnant and non-pregnant women, the lower concentrations of BHg in pregnant women may be due to fewer pregnant women consuming any seafood at all (a finding supported by this analysis), consuming fewer servings of seafood, and/or properly avoiding high risk seafood species. Our findings complement the findings of the only other study of which we are aware using BHg concentrations where they also found lower levels of BHg concentrations in pregnant women <sup><xref rid="R28" ref-type="bibr">28</xref></sup>.</p><p id="P21">The United States Food and Drug Administration (FDA) as well as the EPA have issued warnings recommending that pregnant women and women of childbearing age who may become pregnant avoid consumption of certain types of fish that have high concentrations of mercury including shark, swordfish, king mackerel, and tile fish <sup><xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R33" ref-type="bibr">33</xref></sup>. Many local and state agencies issue additional fish advisories and bans relating to locally caught fish <sup><xref rid="R33" ref-type="bibr">33</xref>,<xref rid="R34" ref-type="bibr">34</xref></sup>. Although the FDA and EPA also advise consumption of two servings per week of seafood with low mercury levels, such as shrimp and salmon <sup><xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R33" ref-type="bibr">33</xref></sup>, these messages may not be as well-understood by pregnant women and their health care providers. A qualitative study of fish consumption during pregnancy reported that many pregnant women knew that fish might contain mercury and had received advice on limiting fish consumption but had not received advice on the types of fish that are safer to consume or contain less mercury. As such, they reported that they avoided fish consumption altogether <sup><xref rid="R35" ref-type="bibr">35</xref></sup>. Our finding of lower BHg concentrations among pregnant women could also be partially due to the fact that pregnant women who consume seafood are consuming seafood less often than non-pregnant women or that they are consuming fish low in mercury as observed in related analysis conducted by our research group (data unpublished). These potential explanations are supported by the geometric mean BHg estimates stratified by seafood consumption and could possibly be due to pregnant women adhering to recommendations put forth by the FDA <sup><xref rid="R32" ref-type="bibr">32</xref></sup> and EPA <sup><xref rid="R34" ref-type="bibr">34</xref></sup> about which fish to eat during pregnancy.</p><p id="P22">Although there are concerns with MeHg exposure during pregnancy because of the high susceptibility of the developing brain <sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup>; fish and shellfish are also the primary dietary sources of long-chain Omega 3 (N-3) polyunsaturated fatty acids, specifically docosahexaenoic acid (DHA) and eicosapentaenoic acid, which are essential for optimal neurodevelopment of the fetus during pregnancy and infancy through breastmilk exposure <sup><xref rid="R33" ref-type="bibr">33</xref>,<xref rid="R36" ref-type="bibr">36</xref>&#x02013;<xref rid="R40" ref-type="bibr">40</xref></sup>. The Dietary Guidelines for Americans 2010, from the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (HHS), recommends consumption of at least 8 ounces of variety of seafood per week for the general public corresponding to intake of an average of 250 mg/d of fatty acids, including DHA. These Guidelines also include the recommendation for pregnant and breastfeeding women to consume 8 to 12 ounces of variety of seafood per week to receive the benefits from fatty acids with the onus on the obstetricians to discuss the types of seafood and servings that are appropriate<sup><xref rid="R41" ref-type="bibr">41</xref></sup>.</p><p id="P23">Strengths of our study include its large sample size; oversampling of pregnant women during the 1999&#x02013;2006 NHANES allowed us sufficient power to stratify our analysis and make comparisons between pregnant and non-pregnant women. One limitation is that as the reference doses for mercury are based on total blood mercury, therefor total blood mercury was used as a proxy for methylmercury. There are also several limitations of the NHANES data on seafood consumption. Self-reported data on fish and shellfish consumption in the past 30 days is subject to misreporting. Not all types of higher mercury fish were specifically queried, and even among those that were queried we did not have power to examine BHg concentrations by the type of seafood that was consumed. In addition, the data did not contain information about serving size or cooking methods for seafood.</p><p id="P24">While it is reassuring that the majority of pregnant women did not have BHg levels above the reference dose (&#x02265;3.5 &#x003bc;g/L), our observation that almost 1 out of 4 pregnant women consumed no seafood in the past 30 days is of concern given the important nutrients contained in seafood. Additional measures may be needed to increase awareness of how to balance the benefits and risks of seafood consumption during pregnancy and breastfeeding.</p></sec></body><back><ack id="S14"><p>The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. H.R. was supported by an appointment to the Research Participation program for the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an agreement between the Department of Energy and CDC. H.R. and S.C.T. conducted the analysis. H.R., S.C.T., and K.C. developed the manuscript.</p></ack><fn-group><fn id="FN2" fn-type="conflict"><p><bold>Disclosure Statement</bold></p><p>The authors have no conflicts of interest to report. 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id="F1" orientation="portrait" position="float"><label>Figure 1</label><caption><p>Figure 1 shows the distribution of total blood mercury concentrations (&#x003bc;g/L) for pregnant and non-pregnant women 16&#x02013;49 years of age in the National Health and Nutrition Examination Survey (NHANES), 1999&#x02013;2006 by age group.</p></caption><graphic xlink:href="nihms730369f1"/></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2</label><caption><p>Figure 2 shows the distribution of total blood mercury concentrations (&#x003bc;g/L) for pregnant and non-pregnant women 16&#x02013;49 years of age in the National Health and Nutrition Examination Survey (NHANES), 1999&#x02013;2006 by race/ethnicity group.</p></caption><graphic xlink:href="nihms730369f2"/></fig><fig id="F3" orientation="portrait" position="float"><label>Figure 3</label><caption><p>Figure 3 shows the distribution of total blood mercury concentrations (&#x003bc;g/L) for pregnant and non-pregnant women 16&#x02013;49 years of age in the National Health and Nutrition Examination Survey (NHANES), 1999&#x02013;2006 by education.</p><p>GED, General Education Development</p></caption><graphic xlink:href="nihms730369f3"/></fig><fig id="F4" orientation="portrait" position="float"><label>Figure 4</label><caption><p>Figure 4 shows the distribution of total blood mercury concentrations (&#x003bc;g/L) for pregnant and non-pregnant women 16&#x02013;49 years of age in the National Health and Nutrition Examination Survey (NHANES), 1999&#x02013;2006 by family income to poverty ratio.</p><p>Family income to poverty ratio is the total household income divided by the poverty threshold for the year of the interview</p></caption><graphic xlink:href="nihms730369f4"/></fig><fig id="F5" orientation="portrait" position="float"><label>Figure 5</label><caption><p>Figure 5 shows the distribution of total blood mercury concentrations (&#x003bc;g/L) for pregnant and non-pregnant women 16&#x02013;49 years of age in the National Health and Nutrition Examination Survey (NHANES), 1999&#x02013;2006 by seafood consumption.</p></caption><graphic xlink:href="nihms730369f5"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1</label><caption><p>Characteristics of U.S. Pregnant women and U.S. Non-Pregnant women in National Health and Nutrition Examination Survey (NHANES) 1999&#x02013;2006</p></caption><table frame="hsides" rules="none"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1">Variable</th><th colspan="2" valign="bottom" align="center" rowspan="1">Pregnant Women</th><th colspan="2" valign="bottom" align="center" rowspan="1">Non-Pregnant Women</th></tr><tr><th valign="bottom" align="left" rowspan="1" colspan="1"/><th colspan="4" valign="bottom" align="center" rowspan="1">
<hr/></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total mean blood mercury (&#x003bc;g/L)</td><td colspan="2" align="center" valign="top" rowspan="1">0.71 (0.63, 0.79)</td><td colspan="2" align="center" valign="top" rowspan="1">0.92 (0.85, 0.99)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total mean blood mercury (&#x003bc;g/L) adjusted for age &#x00026; race</td><td colspan="2" align="center" valign="top" rowspan="1">0.81 (0.71, 0.91)</td><td colspan="2" align="center" valign="top" rowspan="1">0.93 (0.87, 0.99)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.0001</td></tr><tr><td colspan="5" valign="bottom" align="left" rowspan="1">
<hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">N<xref rid="TFN1" ref-type="table-fn">a</xref></td><td align="center" valign="top" rowspan="1" colspan="1">%<xref rid="TFN2" ref-type="table-fn">b</xref> (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">N<xref rid="TFN1" ref-type="table-fn">a</xref></td><td align="center" valign="top" rowspan="1" colspan="1">%<xref rid="TFN2" ref-type="table-fn">b</xref> (95% CI)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" valign="bottom" align="center" rowspan="1">
<hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">1183</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">5587</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Age</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;16&#x02013;25</td><td align="center" valign="top" rowspan="1" colspan="1">551</td><td align="center" valign="top" rowspan="1" colspan="1">41.6 (37.0, 46.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2386</td><td align="center" valign="top" rowspan="1" colspan="1">25.9 (24.4, 27.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;26&#x02013;35</td><td align="center" valign="top" rowspan="1" colspan="1">558</td><td align="center" valign="top" rowspan="1" colspan="1">49.4 (43.8, 55.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1209</td><td align="center" valign="top" rowspan="1" colspan="1">26.6 (25.0, 28.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;36&#x02013;49</td><td align="center" valign="top" rowspan="1" colspan="1">74</td><td align="center" valign="top" rowspan="1" colspan="1">9.0 (5.9, 13.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1992</td><td align="center" valign="top" rowspan="1" colspan="1">47.5 (45.5, 49.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>&#x0003c;0.0001</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Race</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic white</td><td align="center" valign="top" rowspan="1" colspan="1">526</td><td align="center" valign="top" rowspan="1" colspan="1">56.3 (50.3, 62.1)</td><td align="center" valign="top" rowspan="1" colspan="1">2189</td><td align="center" valign="top" rowspan="1" colspan="1">66.8 (63.5, 70.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic black</td><td align="center" valign="top" rowspan="1" colspan="1">183</td><td align="center" valign="top" rowspan="1" colspan="1">15.1 (11.5, 19.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1405</td><td align="center" valign="top" rowspan="1" colspan="1">12.7 (10.8, 15.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mexican American</td><td align="center" valign="top" rowspan="1" colspan="1">350</td><td align="center" valign="top" rowspan="1" colspan="1">16.0 (13.0, 19.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1494</td><td align="center" valign="top" rowspan="1" colspan="1">8.7 (7.2, 10.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other race and/or multiracial</td><td align="center" valign="top" rowspan="1" colspan="1">124</td><td align="center" valign="top" rowspan="1" colspan="1">12.7 (8.8, 18.0)</td><td align="center" valign="top" rowspan="1" colspan="1">499</td><td align="center" valign="top" rowspan="1" colspan="1">11.8 (9.7, 14.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>&#x0003c;0.0001</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Education Level</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003c;High school graduate</td><td align="center" valign="top" rowspan="1" colspan="1">374</td><td align="center" valign="top" rowspan="1" colspan="1">23.1 (19.4, 27.2)</td><td align="center" valign="top" rowspan="1" colspan="1">2017</td><td align="center" valign="top" rowspan="1" colspan="1">20.3 (18.8, 21.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High school graduate or GED</td><td align="center" valign="top" rowspan="1" colspan="1">259</td><td align="center" valign="top" rowspan="1" colspan="1">18.7 (15.2, 22.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1218</td><td align="center" valign="top" rowspan="1" colspan="1">22.9 (21.3, 24.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Greater than high school</td><td align="center" valign="top" rowspan="1" colspan="1">549</td><td align="center" valign="top" rowspan="1" colspan="1">58.2 (53.3, 36.0)</td><td align="center" valign="top" rowspan="1" colspan="1">2347</td><td align="center" valign="top" rowspan="1" colspan="1">56.7 (54.4, 59.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.07</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Family income to poverty ratio<xref rid="TFN4" ref-type="table-fn">d</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;0&#x02013;1.3</td><td align="center" valign="top" rowspan="1" colspan="1">399</td><td align="center" valign="top" rowspan="1" colspan="1">25.6 (21.7, 29.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1849</td><td align="center" valign="top" rowspan="1" colspan="1">23.6 (21.4, 25.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1.301&#x02013;3.5</td><td align="center" valign="top" rowspan="1" colspan="1">389</td><td align="center" valign="top" rowspan="1" colspan="1">35.5 (31.7, 39.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1853</td><td align="center" valign="top" rowspan="1" colspan="1">32.8 (30.7, 35.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;3.501+</td><td align="center" valign="top" rowspan="1" colspan="1">319</td><td align="center" valign="top" rowspan="1" colspan="1">32.1 (27.0, 37.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1516</td><td align="center" valign="top" rowspan="1" colspan="1">38.2 (35.5, 40.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing</td><td align="center" valign="top" rowspan="1" colspan="1">76</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td><td align="center" valign="top" rowspan="1" colspan="1">369</td><td align="center" valign="top" rowspan="1" colspan="1">5.4 (4.5, 6.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.09</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Fish or shellfish consumption in the past 30 days</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">849</td><td align="center" valign="top" rowspan="1" colspan="1">73.0 (67.2, 78.0)</td><td align="center" valign="top" rowspan="1" colspan="1">4160</td><td align="center" valign="top" rowspan="1" colspan="1">78.1 (76.0, 80.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">292</td><td align="center" valign="top" rowspan="1" colspan="1">23.6 (19.2, 28.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1226</td><td align="center" valign="top" rowspan="1" colspan="1">18.7 (17.0, 20.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing</td><td align="center" valign="top" rowspan="1" colspan="1">42</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td><td align="center" valign="top" rowspan="1" colspan="1">201</td><td align="center" valign="top" rowspan="1" colspan="1">3.2 (2.5, 4.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.05</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Fish consumption in the past 30 days</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">700</td><td align="center" valign="top" rowspan="1" colspan="1">62.5 (56.8, 67.8)</td><td align="center" valign="top" rowspan="1" colspan="1">3545</td><td align="center" valign="top" rowspan="1" colspan="1">68.8 (66.6, 71.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">441</td><td align="center" valign="top" rowspan="1" colspan="1">34.1 (29.4, 39.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1843</td><td align="center" valign="top" rowspan="1" colspan="1">28.1 (26.1, 30.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing</td><td align="center" valign="top" rowspan="1" colspan="1">42</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td><td align="center" valign="top" rowspan="1" colspan="1">199</td><td align="center" valign="top" rowspan="1" colspan="1">3.1 (2.5, 4.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.03</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Shellfish consumption in the past 30 days</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">545</td><td align="center" valign="top" rowspan="1" colspan="1">46.1 (41.0, 51.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2769</td><td align="center" valign="top" rowspan="1" colspan="1">51.4 (48.6, 54.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">596</td><td align="center" valign="top" rowspan="1" colspan="1">50.4 (45.5, 55.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2615</td><td align="center" valign="top" rowspan="1" colspan="1">45.4 (42.7, 48.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing</td><td align="center" valign="top" rowspan="1" colspan="1">42</td><td align="center" valign="top" rowspan="1" colspan="1">--<xref rid="TFN3" ref-type="table-fn">c</xref></td><td align="center" valign="top" rowspan="1" colspan="1">203</td><td align="center" valign="top" rowspan="1" colspan="1">3.2 (2.6, 4.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td colspan="4" align="center" valign="top" rowspan="1"><italic>P</italic><xref rid="TFN5" ref-type="table-fn">*</xref>=0.13</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p>Unweighted N</p></fn><fn id="TFN2"><label>b</label><p>Weighted row percentage</p></fn><fn id="TFN3"><label>c</label><p>Estimates suppressed because minimum degrees of freedom (12) for strata not met</p></fn><fn id="TFN4"><label>d</label><p>Family income to poverty ratio is the total household income divided by the poverty threshold for the year of the interview</p></fn><fn id="TFN5"><label>*</label><p>p-values for &#x003c7;<sup>2</sup> test</p></fn><fn id="TFN6"><p>GED, General Education Development; CI, Confidence Interval</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2</label><caption><p>Adjusted odds ratios (95% CI) for mercury concentrations &#x02265;3.5 &#x003bc;g/L among U.S. women of childbearing age and stratified by pregnancy status, NHANES 1999&#x02013;2006</p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="bottom" rowspan="3" align="left" colspan="1"/><th valign="bottom" align="center" rowspan="1" colspan="1">All Women</th><th valign="bottom" align="center" rowspan="1" colspan="1">Pregnant Women</th><th valign="bottom" align="center" rowspan="1" colspan="1">Non-pregnant women</th></tr><tr><th colspan="3" valign="bottom" align="center" rowspan="1">
<hr/></th></tr><tr><th valign="bottom" align="center" rowspan="1" colspan="1">OR (95% CI)<break/>N=621</th><th valign="bottom" align="center" rowspan="1" colspan="1">OR (95% CI)<break/>N=55</th><th valign="bottom" align="center" rowspan="1" colspan="1">OR (95% CI)<break/>N=566</th></tr></thead><tbody><tr><td colspan="4" align="left" valign="top" rowspan="1">Pregnancy Status</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">N/A</td><td align="center" valign="top" rowspan="1" colspan="1">N/A</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">0.70 (0.47, 1.03)</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="top" rowspan="1">Age (years)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;16&#x02013;25</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;26&#x02013;35</td><td align="center" valign="top" rowspan="1" colspan="1">2.00 (1.46, 2.75)</td><td align="center" valign="top" rowspan="1" colspan="1">2.25 (0.72, 7.02)</td><td align="center" valign="top" rowspan="1" colspan="1">1.79 (1.28, 2.49)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;36&#x02013;49</td><td align="center" valign="top" rowspan="1" colspan="1">2.33 (1.71, 3.19)</td><td align="center" valign="top" rowspan="1" colspan="1">3.78 (0.68, 20.90)</td><td align="center" valign="top" rowspan="1" colspan="1">1.98 (1.46, 2.68)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1">Race</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic white</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic black</td><td align="center" valign="top" rowspan="1" colspan="1">1.39 (0.97, 1.99)</td><td align="center" valign="top" rowspan="1" colspan="1">0.44 (0.19, 1.02)</td><td align="center" valign="top" rowspan="1" colspan="1">1.23 (0.85, 1.78)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mexican American</td><td align="center" valign="top" rowspan="1" colspan="1">0.66 (0.45, 0.95)</td><td align="center" valign="top" rowspan="1" colspan="1">0.31 (0.10, 0.98)</td><td align="center" valign="top" rowspan="1" colspan="1">0.64 (0.43, 0.95)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other/multiracial</td><td align="center" valign="top" rowspan="1" colspan="1">2.13 (1.43, 3.19)</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (0.23, 6.21)</td><td align="center" valign="top" rowspan="1" colspan="1">2.21 (1.44, 3.38)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1">Education Level</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003c; high school graduate</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;high school graduate or GED</td><td align="center" valign="top" rowspan="1" colspan="1">0.99 (0.70, 1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">2.95 (0.77, 11.37)</td><td align="center" valign="top" rowspan="1" colspan="1">0.95 (0.66, 1.37)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Greater than high school</td><td align="center" valign="top" rowspan="1" colspan="1">1.39 (1.03, 1.89)</td><td align="center" valign="top" rowspan="1" colspan="1">1.66 (0.50, 5.53)</td><td align="center" valign="top" rowspan="1" colspan="1">1.39 (1.03, 1.87)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1">Family income to poverty ratio<xref rid="TFN7" ref-type="table-fn">a</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;0&#x02013;1.3</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1.301&#x02013;3.5</td><td align="center" valign="top" rowspan="1" colspan="1">1.09 (0.75, 1.60)</td><td align="center" valign="top" rowspan="1" colspan="1">0.91 (0.30, 2.80)</td><td align="center" valign="top" rowspan="1" colspan="1">1.13 (0.77, 1.66)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;3.501+</td><td align="center" valign="top" rowspan="1" colspan="1">2.04 (1.33, 3.13)</td><td align="center" valign="top" rowspan="1" colspan="1">6.59 (1.51, 28.69)</td><td align="center" valign="top" rowspan="1" colspan="1">2.14 (1.41, 3.26)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Fish and shellfish consumption in the last 30 days</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">15.70 (7.83, 31.48)</td><td align="center" valign="top" rowspan="1" colspan="1">18.69 (4.91, 71.13)</td><td align="center" valign="top" rowspan="1" colspan="1">15.50 (7.48, 32.12)</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><label>a</label><p>Family income to poverty ratio is the total household income divided by the poverty threshold for the year of the interview</p></fn><fn id="TFN8"><p>The models were adjusted for all other variables in the table</p></fn><fn id="TFN9"><p>CI, Confidence Interval; GED, General Education Development</p></fn></table-wrap-foot></table-wrap></floats-group></article>