{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T01:41:30Z","timestamp":1793497290111,"version":"4.5.0"},"reference-count":38,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T00:00:00Z","timestamp":1553040000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2019,7]]},"abstract":"\n Objective<\/jats:title>\n \n To assess the separate and combined associations of maternal pre\u2010pregnancy\n body mass index (BMI)<\/jats:styled-content>\n and gestational weight gain with the risks of pregnancy complications and their population impact.\n <\/jats:p>\n <\/jats:sec>\n \n Design<\/jats:title>\n Individual participant data meta\u2010analysis of 39 cohorts.<\/jats:p>\n <\/jats:sec>\n \n Setting<\/jats:title>\n Europe, North America, and Oceania.<\/jats:p>\n <\/jats:sec>\n \n Population<\/jats:title>\n 265\u00a0270 births.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Information on maternal pre\u2010pregnancy\n BMI<\/jats:styled-content>\n , gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used.\n <\/jats:p>\n <\/jats:sec>\n \n Main outcome measures<\/jats:title>\n Gestational hypertension, pre\u2010eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Higher maternal pre\u2010pregnancy\n BMI<\/jats:styled-content>\n and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher\n BMI<\/jats:styled-content>\n and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31\u2013 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight\/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n Maternal pre\u2010pregnancy\n BMI<\/jats:styled-content>\n and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications.\u00a0Promoting a healthy pre\u2010pregnancy\n BMI<\/jats:styled-content>\n and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity.\n <\/jats:p>\n <\/jats:sec>\n \n Tweetable abstract<\/jats:title>\n Promoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/1471-0528.15661","type":"journal-article","created":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T16:36:53Z","timestamp":1550680613000},"page":"984-995","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":537,"title":["Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta\u2010analysis of European, North American and Australian cohorts"],"prefix":"10.1111","volume":"126","author":[{"given":"S","family":"Santos","sequence":"first","affiliation":[{"name":"The Generation R Study Group Erasmus MC University Medical Center Rotterdam the Netherlands"},{"name":"Department of Pediatrics Erasmus MC University Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E","family":"Voerman","sequence":"additional","affiliation":[{"name":"The Generation R Study Group Erasmus MC University Medical Center Rotterdam the Netherlands"},{"name":"Department of Pediatrics Erasmus MC University Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P","family":"Amiano","sequence":"additional","affiliation":[{"name":"Public Health Division of Gipuzkoa San Sebasti\u00e1n Spain"},{"name":"BioDonostia Research Institute San Sebasti\u00e1n Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP) Madrid 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