{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T09:59:36Z","timestamp":1791280776717,"version":"4.1.0"},"reference-count":56,"publisher":"American Chemical Society (ACS)","issue":"11","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"content-version":"vor","delay-in-days":1241,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Background: Polychlorinated biphenyls (PCBs), organochlorine pesticides, and methylmercury (MeHg) are environmentally persistent with adverse effects on neurodevelopment. However, especially among populations with commonly experienced low levels of exposure, research on neurodevelopmental effects of these toxicants has produced conflicting results.<\/jats:p>\n                  <jats:p>Objectives: We assessed the association of low-level prenatal exposure to these contaminants with memory and learning.<\/jats:p>\n                  <jats:p>Methods: We studied 393 children, born between 1993 and 1998 to mothers residing near a PCB-contaminated harbor in New Bedford, Massachusetts. Cord serum PCB, DDE (dichlorodiphenyldichloroethylene), and maternal peripartum hair mercury (Hg) levels were measured to estimate prenatal exposure. Memory and learning were assessed at 8 years of age (range, 7\u201311 years) using the Wide Range Assessment of Memory and Learning (WRAML), age-standardized to a mean \u00b1 SD of 100 \u00b1 15. Associations with each WRAML index\u2014Visual Memory, Verbal Memory, and Learning\u2014were examined with multivariable linear regression, controlling for potential confounders.<\/jats:p>\n                  <jats:p>Results: Although cord serum PCB levels were low (sum of four PCBs: mean, 0.3 ng\/g serum; range, 0.01\u20134.4), hair Hg levels were typical of the U.S. fish-eating population (mean, 0.6 \u03bcg\/g; range, 0.3\u20135.1). In multivariable models, each microgram per gram increase in hair Hg was associated with, on average, decrements of \u20132.8 on Visual Memory (95% CI: \u20135.0, \u20130.6, p = 0.01), \u20132.2 on Learning (95% CI: \u20134.6, 0.2, p = 0.08), and \u20131.7 on Verbal Memory (95% CI: \u20133.9, 0.6, p = 0.14). There were no significant adverse associations of PCBs or DDE with WRAML indices.<\/jats:p>\n                  <jats:p>Conclusions: These results support an adverse relationship between low-level prenatal MeHg exposure and childhood memory and learning, particularly visual memory.<\/jats:p>\n                  <jats:p>Citation: Orenstein ST, Thurston SW, Bellinger DC, Schwartz JD, Amarasiriwardena CJ, Altshul LM, Korrick SA. 2014. Prenatal organochlorine and methylmercury exposure and memory and learning in school-age children in communities near the New Bedford Harbor Superfund Site, Massachusetts. Environ Health Perspect 122:1253\u20131259;\u2002http:\/\/dx.doi.org\/10.1289\/ehp.1307804<\/jats:p>","DOI":"10.1289\/ehp.1307804","type":"journal-article","created":{"date-parts":[[2014,7,25]],"date-time":"2014-07-25T12:04:54Z","timestamp":1406289894000},"page":"1253-1259","source":"Crossref","is-referenced-by-count":54,"title":["Prenatal Organochlorine and Methylmercury Exposure and Memory and Learning in School-Age Children in Communities Near the New Bedford Harbor Superfund Site, Massachusetts"],"prefix":"10.1021","volume":"122","author":[{"given":"Sara T.C.","family":"Orenstein","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA"},{"name":"Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sally W.","family":"Thurston","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David C.","family":"Bellinger","sequence":"additional","affiliation":[{"name":"Children\u2019s Hospital, Harvard Medical School, Boston, Massachusetts, USA"},{"name":"Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joel D.","family":"Schwartz","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA"},{"name":"Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, Massachusetts, USA"},{"name":"Department of Environmental Health, Harvard School of Public 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