{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T18:25:36Z","timestamp":1790360736487,"version":"4.1.0"},"reference-count":46,"publisher":"American Chemical Society (ACS)","issue":"8","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Children born near New Bedford, Massachusetts, have been prenatally exposed to multiple environmental chemicals, in part due to an older housing stock, maternal diet, and proximity to the New Bedford Harbor (NBH) Superfund site. Chemical exposure measures are not available for all births, limiting epidemiologic investigations and potential interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>We linked biomonitoring data from the New Bedford Cohort (NBC) and birth record data to predict prenatal exposures for all contemporaneous area births.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We used prenatal exposure biomarker data from the NBC, a population-based cohort of 788 mother\u2013infant pairs born during 1993\u20131998 to mothers living near the NBH, linked to their corresponding Massachusetts birth record data, to build predictive models for cord serum polychlorinated biphenyls (expressed as a sum, \u03a3PCBs), p,p\u2032-dichlorodiphenyl\u2009dichloroethylene (DDE), hexachlorobenzene (HCB), cord blood lead (Pb), and maternal hair mercury (Hg). We applied the best fit models (highest pseudo R2), with multivariable smooths of continuous variables, to predict exposure biomarkers for all 10,270 births during 1993\u20131998 around the NBH. We used 10-fold cross validation to validate the exposure models and the bootstrap method to characterize sampling variability in the exposure predictions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The 10-fold cross-validated R2 for the \u03a3PCBs, DDE, HCB, Pb, and Hg exposure models were 0.54, 0.40, 0.34, 0.46, and 0.40, respectively. For each exposure model, multivariable smooths of continuous variables improved the fit compared with linear models. Other variables with significant effects on exposure estimates were paternal education, maternal race\/ethnicity, and maternal ancestry. The resulting exposure predictions for all births had variability consistent with the NBC measured exposures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Predictive models using multivariable smoothing explained reasonable amounts of variance in prenatal exposure biomarkers. Our analyses suggest that prenatal chemical exposures can be predicted for all contemporaneous births in the same geographic area by modeling available biomarker data for a subset of that population. https:\/\/doi.org\/10.1289\/EHP4849<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1289\/ehp4849","type":"journal-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T12:25:37Z","timestamp":1566822337000},"source":"Crossref","is-referenced-by-count":4,"title":["Using Birth Cohort Data to Estimate Prenatal Chemical Exposures for All Births around the New Bedford Harbor Superfund Site in Massachusetts"],"prefix":"10.1021","volume":"127","author":[{"given":"Roxana","family":"Khalili","sequence":"first","affiliation":[{"name":"University of California, Irvine Environmental Health Sciences Graduate Program, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott M.","family":"Bartell","sequence":"additional","affiliation":[{"name":"University of California, Irvine Environmental Health Sciences Graduate Program, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]},{"name":"University of California, Irvine Program in Public Health, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]},{"name":"University of California, Irvine Department of Statistics, Donald Bren School of Information and Computer Sciences, , Irvine, California,","place":["USA"]},{"name":"University of California, Irvine Department of Epidemiology, School of Medicine, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan I.","family":"Levy","sequence":"additional","affiliation":[{"name":"Boston University School of Public Health Department of Environmental Health, , Boston, Massachusetts,","place":["USA"]},{"name":"Harvard T.H. Chan School of Public Health Department of Environmental Health, , Boston, Massachusetts,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Patricia","family":"Fabian","sequence":"additional","affiliation":[{"name":"Boston University School of Public Health Department of Environmental Health, , Boston, Massachusetts,","place":["USA"]},{"name":"Harvard T.H. Chan School of Public Health Department of Environmental Health, , Boston, Massachusetts,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Korrick","sequence":"additional","affiliation":[{"name":"Harvard T.H. Chan School of Public Health Department of Environmental Health, , Boston, Massachusetts,","place":["USA"]},{"name":"Brigham and Women\u2019s Hospital and Harvard Medical School Channing Division of Network Medicine, Department of Medicine, , Boston, Massachusetts,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ver\u00f3nica M.","family":"Vieira","sequence":"additional","affiliation":[{"name":"University of California, Irvine Environmental Health Sciences Graduate Program, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]},{"name":"University of California, Irvine Program in Public Health, Susan and Henry Samueli College of Health Sciences, , Irvine, California,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2019,8,26]]},"reference":[{"key":"2026080509040440800_micit1","volume-title":"Interaction Profile for Persistent Chemicals Found in 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