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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101701004</journal-id><journal-id journal-id-type="pubmed-jr-id">46235</journal-id><journal-id journal-id-type="nlm-ta">Birth Defects Res</journal-id><journal-id journal-id-type="iso-abbrev">Birth Defects Res</journal-id><journal-title-group><journal-title>Birth defects research</journal-title></journal-title-group><issn pub-type="epub">2472-1727</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39950689</article-id><article-id pub-id-type="pmc">11956764</article-id><article-id pub-id-type="doi">10.1002/bdr2.2436</article-id><article-id pub-id-type="manuscript">HHSPA2063689</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Why Has Gastroschisis Increased Over Time and Why Is It More Common in Infants of Young Mothers?</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-5967-0410</contrib-id><name><surname>Smith-Webb</surname><given-names>Rashida S.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-6765-4963</contrib-id><name><surname>Langlois</surname><given-names>Peter H.</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-7438-4914</contrib-id><name><surname>Shaw</surname><given-names>Gary M.</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-4224-2692</contrib-id><name><surname>Moore</surname><given-names>Cynthia A.</given-names></name><xref rid="A4" ref-type="aff">4</xref><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Canfield</surname><given-names>Mark A.</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Petersen</surname><given-names>Julie M.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Werler</surname><given-names>Martha M.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><collab>the National Birth Defects Prevention Study</collab></contrib></contrib-group><aff id="A1"><label>1</label>Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA</aff><aff id="A2"><label>2</label>Department of Epidemiology, University of Texas School of Public Health, Austin, Texas, USA</aff><aff id="A3"><label>3</label>Stanford University, School of Medicine, Stanford, California, USA</aff><aff id="A4"><label>4</label>Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff><aff id="A5"><label>5</label>Goldbelt Professional Services LLC, Chesapeake, Virginia, USA</aff><author-notes><corresp id="CR1"><bold>Correspondence:</bold> Rashida S. Smith-Webb (<email>rsmithw@bu.edu</email>)</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>19</day><month>3</month><year>2025</year></pub-date><pub-date pub-type="ppub"><month>2</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>31</day><month>3</month><year>2025</year></pub-date><volume>117</volume><issue>2</issue><fpage>e2436</fpage><lpage>e2436</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Although many factors are associated with gastroschisis risk, studies have not systematically explored whether they account for its increasing frequency over the past decades or its inverse association with maternal age. We examined whether previously reported risk factors for gastroschisis from the National Birth Defects Prevention Study (NBDPS) explain the association with increasing temporal prevalence or young maternal age.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">Using data from the NBDPS (1997&#x02013;2011), crude odds ratios (ORs) were calculated for birth years 2005&#x02013;2011 versus 1997&#x02013;2004 and maternal age &#x0003c; 25 versus 25+ years. We then adjusted for 16 factors separately with logistic regression (paternal age, interpregnancy interval, parity, alcohol, cigarettes, illicit drugs, oral contraceptives, cold/flu with fever, genitourinary infection, polycyclic aromatic hydrocarbons, diet quality, prepregnancy body mass index, parental race and ethnicity, language spoken at home, years lived in the United States, and household income).</p></sec><sec id="S3"><title>Results:</title><p id="P3">The birth year OR (1.28; 95% CI: 1.14, 1.44) was attenuated by 16% after adjustment for polycyclic aromatic hydrocarbon exposure (OR 1.08; 95 CI: 0.92, 1.26). The young maternal age OR (7.76; 95% CI: 6.71, 8.97) was attenuated by 30% after adjustment for paternal age (OR 5.43; 95% CI: 4.55, 6.48) and separately for interpregnancy interval (OR 5.45; 95% CI: 4.43, 6.69).</p></sec><sec id="S4"><title>Conclusion:</title><p id="P4">Some evidence suggests that risk factors for gastroschisis account for small amounts of the time trend and maternal age associations. However, it remains unclear what factors underlie the complete calendar time or maternal age associations.</p></sec></abstract><kwd-group><kwd>birth defects</kwd><kwd>congenital abnormalities</kwd><kwd>gastroschisis</kwd><kwd>maternal age</kwd><kwd>time trends</kwd></kwd-group></article-meta></front><body><sec id="S5"><label>1 &#x02223;</label><title>Introduction</title><p id="P5">Gastroschisis is a severe congenital malformation that results in the herniation of the bowel and occasionally other organs through a hole usually to the right of the umbilicus in newborns. Although rare, gastroschisis occurs more frequently in the offspring of mothers &#x0003c; 25 years old relative to mothers &#x02265; 25 years old (<xref rid="R8" ref-type="bibr">Jones et al. 2016</xref>), and the prevalence of gastroschisis has increased over time in the United States (<xref rid="R8" ref-type="bibr">Jones et al. 2016</xref>; <xref rid="R10" ref-type="bibr">Kirby et al. 2013</xref>) and internationally (<xref rid="R11" ref-type="bibr">Loane et al. 2007</xref>).</p><p id="P6">While many studies have sought to identify environmental and maternal factors that increase the risk for gastroschisis after controlling for potential confounding by maternal age, it is not clear whether previously identified risk factors explain the strong inverse association with maternal age or the increasing trend over time. We examined whether previously reported risk factors for gastroschisis identified in the National Birth Defects Prevention Study (NBDPS) explain the associations with time or maternal age.</p></sec><sec id="S6"><label>2 &#x02223;</label><title>Methods</title><p id="P7">The NBDPS was a multisite, population-based, case&#x02013;control study designed to investigate risk factors associated with pregnancies affected by major congenital anomalies with deliveries during or after October 1997 and estimated dates of delivery (EDD) during or before December 2011. Cases were identified from birth defects surveillance systems in Arkansas, California, Georgia, Iowa, Massachusetts, New Jersey, New York, North Carolina, Texas, and Utah, and included live births, stillbirths, and terminations. Controls were live-born infants without major structural malformations, randomly selected from birth certificates or hospitals in the same catchment areas as cases. After informed consent, mothers of cases and controls were interviewed by telephone within 2 years after EDD about demographics, reproductive history, occupation, medication use, illnesses, lifestyle, and other exposures. The study was approved by the institutional review board at each participating site and the Centers for Disease Control and Prevention (CDC).</p><p id="P8">A clinical geneticist reviewed gastroschisis case records, and those with known chromosomal anomalies, genetic defects, and phenotypes consistent with amniotic band sequence or limb&#x02013;body wall complex were excluded. Data for this study were from previous NBDPS investigations (<xref rid="R4" ref-type="bibr">Feldkamp et al. 2014</xref>; <xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>; <xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>) and included gastroschisis cases with or without other structural malformations. Other details of the study design have been described previously (<xref rid="R16" ref-type="bibr">Reefhuis et al. 2015</xref>).</p><p id="P9">Factors selected for inclusion in this study included those previously reported to be associated with an increased risk for gastroschisis in NBDPS publications, including genitourinary infection (<xref rid="R3" ref-type="bibr">Feldkamp et al. 2019</xref>), estimated cumulative exposure to PAHs across all jobs (<xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>), years lived in the United States at the time of delivery (<xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>), language spoken at home (<xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>), cold or flu with fever (<xref rid="R23" ref-type="bibr">Waller et al. 2018</xref>), diet quality index (<xref rid="R4" ref-type="bibr">Feldkamp et al. 2014</xref>), maternal alcohol use (<xref rid="R17" ref-type="bibr">Richardson et al. 2011</xref>; <xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>), cigarette smoking (<xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>), maternal illicit drug use (<xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>), parental race and ethnicity (<xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>), household income (<xref rid="R13" ref-type="bibr">Neo et al. 2023</xref>; <xref rid="R15" ref-type="bibr">Petersen et al. 2021</xref>), parity (<xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>), interpregnancy interval (<xref rid="R15" ref-type="bibr">Petersen et al. 2021</xref>), paternal age (<xref rid="R6" ref-type="bibr">Green et al. 2010</xref>), oral contraceptive use (<xref rid="R22" ref-type="bibr">Waller et al. 2010</xref>), and prepregnancy body mass index (BMI) (<xref rid="R19" ref-type="bibr">Siega-Riz et al. 2009</xref>). For alcohol use, cigarette smoking, illicit drug use, oral contraceptive use, genitourinary infection, cold or flu with fever, and estimated cumulative exposure to PAHs (including restriction to assignment with greatest confidence by industrial hygienist) (<xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>), we considered mothers exposed if they reported exposure for the interval beginning 1 month before through the first 3 months of pregnancy. Additional details on exposure definitions have been published previously (<xref rid="R3" ref-type="bibr">Feldkamp et al. 2019</xref>; <xref rid="R4" ref-type="bibr">Feldkamp et al. 2014</xref>; <xref rid="R6" ref-type="bibr">Green et al. 2010</xref>; <xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>; <xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>; <xref rid="R13" ref-type="bibr">Neo et al. 2023</xref>; <xref rid="R15" ref-type="bibr">Petersen et al. 2021</xref>; <xref rid="R17" ref-type="bibr">Richardson et al. 2011</xref>; <xref rid="R19" ref-type="bibr">Siega-Riz et al. 2009</xref>; <xref rid="R22" ref-type="bibr">Waller et al. 2010</xref>; <xref rid="R23" ref-type="bibr">Waller et al. 2018</xref>; <xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>).</p><sec id="S7"><label>2.1 &#x02223;</label><title>Data Analysis</title><p id="P10">To represent the increasing trend of gastroschisis occurrence across the 1997&#x02013;2011 time period, we dichotomized birth year at the halfway point of the study period (2005&#x02013;2011 vs. 1997&#x02013;2004). Maternal age at conception was also dichotomized (&#x0003c; 25 years old vs. &#x02265; 25 years old). We used separate logistic regression models to estimate odds ratio (OR) for the time trend and maternal age categories. Risk factors were each separately added to the crude logistic regression model and percent change was calculated: [(e.g., crude OR<sub>time trend</sub> &#x02013; adjusted OR<sub>time trend</sub>)/crude OR<sub>time trend</sub>] (<xref rid="R7" ref-type="bibr">Greenland and Pearce 2015</xref>; <xref rid="R25" ref-type="bibr">Weng et al. 2009</xref>). All statistical analyses were conducted using SAS Enterprise Guide 8.3 (SAS Institute Inc., Cary, NC, USA).</p></sec></sec><sec id="S8"><label>3 &#x02223;</label><title>Results</title><p id="P11">There were 1278 cases and 10,611 controls. The crude OR for the time trend (2005&#x02013;2011 vs. 1997&#x02013;2004) in gastroschisis was 1.28 (95% CI: 1.14, 1.44). Adjustment for estimated cumulative exposure to PAHs across all jobs (OR = 1.08; 95% CI: 0.92, 1.26), parental race and ethnicity (OR = 1.24; 95% CI: 1.11, 1.40), years lived in the United States (OR = 1.26; 95% CI: 1.12, 1.42), and illicit drug use (OR = 1.27; 95% CI: 1.13, 1.43) resulted in the OR for the gastroschisis year parameter moving closer to the null (<xref rid="T1" ref-type="table">Table 1</xref>). The OR for the time trend was most attenuated with adjustment for estimated cumulative exposure to PAHs across all jobs (15.6%).</p><p id="P12">The crude OR for maternal age (&#x0003c; 25 years vs. &#x02265; 25 years) and gastroschisis was 7.76 (95% CI: 6.71, 8.97), which decreased with adjustment for paternal age, interpregnancy interval, parity, cigarette smoking, maternal illicit drug use, estimated cumulative exposure to PAHs across all jobs, parental race and ethnicity, household income, genitourinary infection, oral contraceptive use, prepregnancy BMI, and cold or flu with fever (<xref rid="T2" ref-type="table">Table 2</xref>). We observed the largest attenuation of the OR with adjustment for factors known to be strongly correlated with maternal age, particularly paternal age (OR = 5.43; 95% CI: 4.55, 6.48; 30.0% change), interpregnancy interval, (OR = 5.45; 95% CI: 4.43, 6.69; 29.8% change), and parity (OR = 6.61; 95% CI: 5.70, 7.67; 14.8% change). The adjusted OR accounting for these three factors in a multivariable model was 4.19 (95% CI: 3.26, 5.37; 46.0% change).</p></sec><sec id="S9"><label>4 &#x02223;</label><title>Discussion</title><p id="P13">Gastroschisis has two distinct epidemiologic features that set it apart from other congenital anomalies: increased birth prevalence during past decades and higher prevalence among younger mothers. Although biological mechanisms that result in this condition have been proposed (<xref rid="R1" ref-type="bibr">Bargy and Beaudoin 2014</xref>; <xref rid="R14" ref-type="bibr">Opitz, Feldkamp, and Botto 2019</xref>; <xref rid="R18" ref-type="bibr">Rittler, Vauthay, and Mazzitelli 2013</xref>) and numerous risk factors have been identified, it remains unclear why gastroschisis risk is higher in young mothers and why it increased over time. It is widely hypothesized that exposures thought to be more common among younger mothers explain these unique trends. Using data from the NBDPS, we show that previously reported risk factors for gastroschisis generally do not explain the increasing time trend or inverse maternal age association.</p><p id="P14">The 1.28-fold greater risk of gastroschisis for births in the second half of the NBDPS study period was altered after controlling for estimated cumulative exposure to PAHs across all jobs, reducing the time trend OR to 1.08. To our knowledge, this is the first study to evaluate the role of PAHs in time trend analyses of gastroschisis. All other exposures we examined did not account for the increasing time trend. A study that used birth certificate data also found that maternal and infant characteristics did not independently account for the increasing time trend (<xref rid="R21" ref-type="bibr">Vo and Langlois 2015</xref>). Additionally, an ecologic study that compared trends in gastroschisis with concurrent trends in prenatal use of illicit drugs reported no association (<xref rid="R5" ref-type="bibr">Forrester and Merz 2006</xref>).</p><p id="P15">The 7.76-fold increased risk of gastroschisis for mothers &#x0003c; 25 years old (vs. &#x02265; 25) was attenuated to some extent by paternal age, parity, interpregnancy interval, income, and parental race and ethnicity. Maternal illicit drug use, cigarette smoking, oral contraceptive use, and genitourinary infections have each been suspected to underlie the inverse maternal age association; although some evidence of attenuation by these exposures was observed, they accounted for only a small amount of the 7.76-fold OR. Estimated cumulative exposure to PAHs is the only exogenous exposure that was observed to partially attenuate both the maternal age and time trend associations but left both associations largely unexplained. Reports of effect modification by maternal age for some gastroschisis risk factors, often with higher ORs for older mothers (<xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>; <xref rid="R24" ref-type="bibr">Weber et al. 2019</xref>; <xref rid="R26" ref-type="bibr">Werler et al. 2018</xref>), do not have bearing on our exploration of adjustments of the association between maternal age and gastroschisis.</p><p id="P16">Typically, multivariable models to estimate associations of exposures and risk of gastroschisis adjust for maternal age as a potential confounder (<xref rid="R3" ref-type="bibr">Feldkamp et al. 2019</xref>; <xref rid="R4" ref-type="bibr">Feldkamp et al. 2014</xref>; <xref rid="R9" ref-type="bibr">Khodr et al. 2013</xref>; <xref rid="R12" ref-type="bibr">Lupo et al. 2012</xref>; <xref rid="R13" ref-type="bibr">Neo et al. 2023</xref>; <xref rid="R15" ref-type="bibr">Petersen et al. 2021</xref>; <xref rid="R17" ref-type="bibr">Richardson et al. 2011</xref>; <xref rid="R23" ref-type="bibr">Waller et al. 2018</xref>). Calendar time is less often considered a potential confounder, but it has been examined as such in at least one study (<xref rid="R13" ref-type="bibr">Neo et al. 2023</xref>). In the present study, we considered maternal age and calendar time as separate, primary factors in association with gastroschisis, not as causal factors for gastroschisis. Therefore, our analysis of risk factors to explain either the birth year or maternal age associations is not within a causal framework. ORs were estimated as measures of association, but not causation. We do not believe that birth year or maternal age cause gastroschisis in and of themselves; therefore, the 16 risk factors examined are not considered confounders or intermediates. We are, however, particularly interested in learning whether the previously identified risk factors might explain the unique descriptive epidemiology of gastroschisis.</p><p id="P17">The present findings should be interpreted within the context of several limitations. The NBDPS collected exposure information retrospectively and is susceptible to recall inaccuracies, which can also lead to misclassification and residual confounding. Second, average participation rates were 65% for cases and 65% for controls (<xref rid="R16" ref-type="bibr">Reefhuis et al. 2015</xref>), and did decline across all NBDPS years. If risk factors were associated with participation differentially for cases and controls, selection bias is possible. Third, unknown, and unmeasured factors may account for both time and maternal age associations with gastroschisis. However, a previous study examining over 200 parental exposures and activities during the periconceptional period did not find many previously unreported associations with gastroschisis (<xref rid="R24" ref-type="bibr">Weber et al. 2019</xref>). Indeed, studies of self-reported exposures are limited, and measures of biomarkers would likely advance knowledge. Lastly, the data for these analyses are from an earlier period, which may not reflect current trends. In more recent years, the prevalence of gastroschisis in the United States has appeared to decrease; however, the higher risk among young maternal age remains (<xref rid="R2" ref-type="bibr">Clark et al. 2020</xref>; <xref rid="R20" ref-type="bibr">Stallings et al. 2024</xref>). Strengths of the study include the use of a population-based study spanning over a decade with data on a wide range of exposures, which allowed for in-depth analyses. Additionally, as part of this study, all cases were reviewed for eligibility based on standard case definitions and classified by clinical geneticists at each study site.</p></sec><sec id="S10"><label>5 &#x02223;</label><title>Conclusion</title><p id="P18">While there is some evidence that gastroschisis risk factors account for small amounts of the calendar time trend and maternal age associations, it remains unclear what factors underlie the complete associations. To advance our understanding of the causes of gastroschisis, studies of early pregnancy biomarkers are necessary.</p></sec></body><back><ack id="S12"><title>Acknowledgments</title><p id="P20">Coding of drug and supplement information in the NBDPS and/or the BD-STEPS used the Slone Drug Dictionary under license from the Slone Epidemiology Center of Boston University. Portions of the data analysis were replicated prior to submission per the replication policy of the NBDPS and the BD-STEPS.</p><sec id="S13"><title>Funding:</title><p id="P21">This work was supported by the CDC cooperative agreements under PA #96043, PA #02081, FOA #DD09-001, FOA #DD13-003, NOFO #DD18-001, and NOFO #DD23-001 to the Centers for Birth Defects Research and Prevention participating in the NBDPS and/or the Birth Defects Study to Evaluate Pregnancy Exposures (BD-STEPS). Additionally, this work was supported by contract 200&#x02013;2000-08018 from the CDC and the National Institute for Occupational Safety and Health.</p></sec><sec id="S133"><title>Disclaimer</title><p id="P29">The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC.</p></sec></ack><fn-group><fn id="FN1"><p id="P22">Ethics Statement</p><p id="P23">The study was approved by the institutional review board at each participating site and the CDC.</p></fn><fn id="FN2"><p id="P24">Consent</p><p id="P25">Study participants provided informed consent.</p></fn><fn fn-type="COI-statement" id="FN3"><p id="P26">Conflicts of Interest</p><p id="P27">The authors declare no conflicts of interest.</p></fn></fn-group><sec sec-type="data-availability" id="S11"><title>Data Availability Statement</title><p id="P19">The study questionnaires and process for accessing the data used in this study is described at <ext-link xlink:href="https://www.cdc.gov/birth-defects/php/bd-steps-nbdps-data/index.html" ext-link-type="uri">https://www.cdc.gov/birth-defects/php/bd-steps-nbdps-data/index.html</ext-link>. 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</mixed-citation></ref></ref-list></back><floats-group><table-wrap position="float" id="T1" orientation="landscape"><label>TABLE 1 &#x02223;</label><caption><p id="P30">Gastroschisis odds ratios and 95% confidence intervals for time trend after adjustment, National Birth Defects Prevention Study, 1997&#x02013;2011.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Adjustment factors</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">Dichotomization (if applicable)</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">Number<break/>of Obs</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">OR for time<break/>trend (95% CI)</th><th rowspan="2" align="center" valign="bottom" colspan="1">Percent<break/>change (OR)</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">2005&#x02013;2011 vs. 1997&#x02013;2004</th><th align="center" valign="bottom" rowspan="1" colspan="1">11,889</th><th align="center" valign="bottom" rowspan="1" colspan="1">1.28 (1.14, 1.44)</th></tr></thead><tbody><tr><td colspan="5" align="left" valign="top" rowspan="1">Gastroschisis year parameter moved closer to the null</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Estimated cumulative exposure to PAHs across all jobs (&#x003bc;g/m<sup>3</sup> hours) (B1-P3)<sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">1 unit increase</td><td align="center" valign="top" rowspan="1" colspan="1">8551</td><td align="center" valign="top" rowspan="1" colspan="1">1.17 (1.01, 1.34)</td><td align="center" valign="top" rowspan="1" colspan="1">8.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;<italic toggle="yes">PAH confidence</italic> &#x02265; <italic toggle="yes">3</italic><sup><xref rid="TFN4" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">7616</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">1.08</italic> (<italic toggle="yes">0.92</italic>, <italic toggle="yes">1.26</italic>)</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">15.6</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Parental race and ethnicity</td><td align="center" valign="top" rowspan="1" colspan="1">All other combinations vs. both parents non-Hispanic White</td><td align="center" valign="top" rowspan="1" colspan="1">11,709</td><td align="center" valign="top" rowspan="1" colspan="1">1.24 (1.11, 1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">3.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Years lived in the US for mothers</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 6 years in the US vs. &#x02265; 6 years in the US or US born</td><td align="center" valign="top" rowspan="1" colspan="1">11,620</td><td align="center" valign="top" rowspan="1" colspan="1">1.26 (1.12, 1.42)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal illicit drug use (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.27 (1.13, 1.43)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Gastroschisis year parameter unchanged or moved away from the null</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household income/number of people supported</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02265; median vs. &#x0003c; median</td><td align="center" valign="top" rowspan="1" colspan="1">10,783</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (1.13, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Language spoken at home</td><td align="center" valign="top" rowspan="1" colspan="1">Other vs. English</td><td align="center" valign="top" rowspan="1" colspan="1">11,855</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (1.14, 1.44)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Cold or flu with fever (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (1.14, 1.44)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal alcohol use (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (1.14, 1.44)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Genitourinary infection (B1-P3)<sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.29 (1.15, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Parity</td><td align="center" valign="top" rowspan="1" colspan="1">1+ vs. 0</td><td align="center" valign="top" rowspan="1" colspan="1">11,887</td><td align="center" valign="top" rowspan="1" colspan="1">1.29 (1.14, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Prepregnancy body mass index (kg/m<sup>2</sup>) (4 groups)</td><td align="center" valign="top" rowspan="1" colspan="1">Healthy weight (18.5&#x02013;24.9)/overweight (25.0&#x02013;29.9)/ obese (&#x02265; 30.0) vs. underweight (&#x0003c; 18.5)</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.29 (1.15, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Diet quality index</td><td align="center" valign="top" rowspan="1" colspan="1">2 highest vs. 2 lowest quartiles</td><td align="center" valign="top" rowspan="1" colspan="1">11,438</td><td align="center" valign="top" rowspan="1" colspan="1">1.30 (1.15, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used oral contraceptives (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.30 (1.15, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal age</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 25 years old vs. &#x02265; 25 years old</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">1.35 (1.19, 1.52)</td><td align="center" valign="top" rowspan="1" colspan="1">5.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Paternal age</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 25 years old vs. &#x02265; 25 years old</td><td align="center" valign="top" rowspan="1" colspan="1">11,532</td><td align="center" valign="top" rowspan="1" colspan="1">1.37 (1.21, 1.55)</td><td align="center" valign="top" rowspan="1" colspan="1">7.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Cigarette smoking (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,885</td><td align="center" valign="top" rowspan="1" colspan="1">1.39 (1.24, 1.57)</td><td align="center" valign="top" rowspan="1" colspan="1">8.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Interpregnancy interval<sup><xref rid="TFN5" ref-type="table-fn">c</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 12 months vs. &#x02265; 12 months</td><td align="center" valign="top" rowspan="1" colspan="1">6826</td><td align="center" valign="top" rowspan="1" colspan="1">1.40 (1.16, 1.71)</td><td align="center" valign="top" rowspan="1" colspan="1">9.4</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P31"><italic toggle="yes">Note:</italic> Given that the confidence interval is more informative than a <italic toggle="yes">p</italic>-value, the confidence interval is reported. <ext-link xlink:href="https://www.amstat.org/asa/files/pdfs/P-ValueStatement.pdf" ext-link-type="uri">https://www.amstat.org/asa/files/pdfs/P-ValueStatement.pdf</ext-link>.</p></fn><fn id="TFN2"><p id="P32">Abbreviations: CI, confidence interval; obs, observations; OR, odds ratio; PAH, polycyclic aromatic hydrocarbons.</p></fn><fn id="TFN3"><label>a</label><p id="P33">Exposure during the interval beginning 1 month before through the first 3 months of pregnancy.</p></fn><fn id="TFN4"><label>b</label><p id="P34">Because PAH variables were based on industrial hygienists assigning likelihood of exposure for a reported job, we conducted a sensitivity analysis by restricting to those whose exposure was assigned with greatest confidence (score &#x02265; 3, scale of 1&#x02013;4).</p></fn><fn id="TFN5"><label>c</label><p id="P35">Excludes individuals with no previous pregnancies resulting in live birth or stillbirth.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>TABLE 2 &#x02223;</label><caption><p id="P36">Gastroschisis odds ratios and 95% confidence intervals for maternal age after adjustment, National Birth Defects Prevention Study, 1997&#x02013;2011.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Adjustment factors</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">Dichotomization (if applicable)</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">Number<break/>of Obs</th><th align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1" colspan="1">OR for maternal<break/>age (95% CI)</th><th rowspan="2" align="center" valign="bottom" colspan="1">Percent<break/>change (OR)</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">&#x0003c; 25 years vs. 25+ years</th><th align="center" valign="bottom" rowspan="1" colspan="1">11,889</th><th align="center" valign="bottom" rowspan="1" colspan="1">7.76 (6.71, 8.97)</th></tr></thead><tbody><tr><td colspan="5" align="left" valign="top" rowspan="1">Maternal age parameter moved closer to the null</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Paternal age</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 25 years old vs. &#x02265; 25 years old</td><td align="center" valign="top" rowspan="1" colspan="1">11,532</td><td align="center" valign="top" rowspan="1" colspan="1">5.43 (4.55, 6.48)</td><td align="center" valign="top" rowspan="1" colspan="1">30.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Interpregnancy interval<sup><xref rid="TFN8" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 12 months vs. &#x02265; 12 months</td><td align="center" valign="top" rowspan="1" colspan="1">6826</td><td align="center" valign="top" rowspan="1" colspan="1">5.45 (4.43, 6.69)</td><td align="center" valign="top" rowspan="1" colspan="1">29.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Parity</td><td align="center" valign="top" rowspan="1" colspan="1">1+ vs.0</td><td align="center" valign="top" rowspan="1" colspan="1">11,887</td><td align="center" valign="top" rowspan="1" colspan="1">6.61 (5.70, 7.67)</td><td align="center" valign="top" rowspan="1" colspan="1">14.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Cigarette smoking (B1-P3)<sup><xref rid="TFN9" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,885</td><td align="center" valign="top" rowspan="1" colspan="1">7.06 (6.09, 8.18)</td><td align="center" valign="top" rowspan="1" colspan="1">9.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal illicit drug use (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">7.25 (6.27, 8.39)</td><td align="center" valign="top" rowspan="1" colspan="1">6.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Estimated cumulative exposure to PAHs across all jobs (&#x003bc;g/m<sup>3</sup>-hours) (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">1 unit increase</td><td align="center" valign="top" rowspan="1" colspan="1">8551</td><td align="center" valign="top" rowspan="1" colspan="1">7.30 (6.17, 8.64)</td><td align="center" valign="top" rowspan="1" colspan="1">5.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;<italic toggle="yes">PAH confidence</italic> &#x02265; <italic toggle="yes">3</italic><sup><xref rid="TFN10" ref-type="table-fn">c</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">7616</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">7.28</italic> (<italic toggle="yes">6.06</italic>, <italic toggle="yes">8.73</italic>)</td><td align="center" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">6.2</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Parental race and ethnicity</td><td align="center" valign="top" rowspan="1" colspan="1">All other combinations vs. both parents non-Hispanic White</td><td align="center" valign="top" rowspan="1" colspan="1">11,709</td><td align="center" valign="top" rowspan="1" colspan="1">7.45 (6.43, 8.64)</td><td align="center" valign="top" rowspan="1" colspan="1">4.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household income/number of people supported</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02265; median vs. &#x0003c; median</td><td align="center" valign="top" rowspan="1" colspan="1">10,783</td><td align="center" valign="top" rowspan="1" colspan="1">7.45 (6.42, 8.76)</td><td align="center" valign="top" rowspan="1" colspan="1">4.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Genitourinary infection (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">7.54 (6.52, 8.72)</td><td align="center" valign="top" rowspan="1" colspan="1">2.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used oral contraceptives (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">7.63 (6.60, 8.83)</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Prepregnancy body mass index (4 groups)</td><td align="center" valign="top" rowspan="1" colspan="1">Healthy weight (18.5&#x02013;24.9)/overweight (25.0&#x02013;29.9)/obese (&#x02265; 30.0) vs. underweight (&#x0003c; 18.5)</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">7.67 (6.64, 8.87)</td><td align="center" valign="top" rowspan="1" colspan="1">1.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Cold or flu with fever (B1-P3)<sup><xref rid="TFN9" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">7.74 (6.69, 8.94)</td><td align="center" valign="top" rowspan="1" colspan="1">0.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Multivariable<sup><xref rid="TFN11" ref-type="table-fn">d</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">6669</td><td align="center" valign="top" rowspan="1" colspan="1">4.19 (3.26, 5.37)</td><td align="center" valign="top" rowspan="1" colspan="1">46.0</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1">Maternal age parameter unchanged or moved away from the null</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Language spoken at home</td><td align="center" valign="top" rowspan="1" colspan="1">Other vs. English</td><td align="center" valign="top" rowspan="1" colspan="1">11,855</td><td align="center" valign="top" rowspan="1" colspan="1">7.77 (6.72, 8.99)</td><td align="center" valign="top" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Years lived in the US for mothers</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c; 6 years in the US vs. &#x02265; 6 years in the US or US-born</td><td align="center" valign="top" rowspan="1" colspan="1">11,620</td><td align="center" valign="top" rowspan="1" colspan="1">7.80 (6.74, 9.03)</td><td align="center" valign="top" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Diet quality index</td><td align="center" valign="top" rowspan="1" colspan="1">2 highest vs. 2 lowest quartiles</td><td align="center" valign="top" rowspan="1" colspan="1">11,438</td><td align="center" valign="top" rowspan="1" colspan="1">7.82 (6.74, 9.07)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal alcohol use (B1-P3)</td><td align="center" valign="top" rowspan="1" colspan="1">Yes vs. no</td><td align="center" valign="top" rowspan="1" colspan="1">11,889</td><td align="center" valign="top" rowspan="1" colspan="1">8.04 (6.95, 9.30)</td><td align="center" valign="top" rowspan="1" colspan="1">3.6</td></tr></tbody></table><table-wrap-foot><fn id="TFN6"><p id="P37"><italic toggle="yes">Note:</italic> Given that the confidence interval is more informative than a <italic toggle="yes">p</italic>-value, the confidence interval is reported. <ext-link xlink:href="https://www.amstat.org/asa/files/pdfs/P-ValueStatement.pdf" ext-link-type="uri">https://www.amstat.org/asa/files/pdfs/P-ValueStatement.pdf</ext-link>.</p></fn><fn id="TFN7"><p id="P38">Abbreviations: CI, confidence interval; obs, observations; OR, odds ratio; PAH, polycyclic aromatic hydrocarbons.</p></fn><fn id="TFN8"><label>a</label><p id="P39">Excludes individuals with no previous pregnancies resulting in live birth or stillbirth.</p></fn><fn id="TFN9"><label>b</label><p id="P40">Exposure during the interval beginning 1 month before through the first 3 months of pregnancy.</p></fn><fn id="TFN10"><label>c</label><p id="P41">Because PAH variables were based on industrial hygienists assigning likelihood of exposure for a reported job, we conducted a sensitivity analysis by restricting to those whose exposure was assigned with greatest confidence (score &#x02265; 3, scale of 1&#x02013;4).</p></fn><fn id="TFN11"><label>d</label><p id="P42">Adjusted for paternal age, interpregnancy interval, and parity.</p></fn></table-wrap-foot></table-wrap></floats-group></article>