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concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data are from a prospective cohort of singleton pregnancies (<jats:italic>n<\/jats:italic>\u00a0=\u00a02182) enrolled in United States perinatal centres, 2009\u20132013. Overall and by prepregnancy BMI group (overweight\/obesity and healthy weight), joint latent trajectory models were fit with prenatal weight, mid\u2010upper arm circumference (MUAC), triceps (TSF) and subscapular (SSF) skinfolds. Differences in neonatal body composition by trajectory class were assessed via weighted least squares.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Six trajectory patterns reflecting co\u2010occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight BMI, some differences were observed for neonatal subcutaneous adipose tissue, and among individuals with overweight\/obesity some differences in neonatal lean mass were found. Neonatal adiposity measures were higher among infants born to individuals with prepregnancy overweight\/obesity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Six integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger influence of prepregnancy BMI.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijpo.12994","type":"journal-article","created":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T07:21:44Z","timestamp":1672989704000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Prenatal weight and regional body composition trajectories and neonatal body composition: The <scp>NICHD<\/scp> Foetal Growth Studies"],"prefix":"10.1111","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9574-6109","authenticated-orcid":false,"given":"Elizabeth M.","family":"Widen","sequence":"first","affiliation":[{"name":"Department of Nutritional Sciences University of Texas at Austin  Austin Texas USA"},{"name":"Department of Women's Health &amp; Pediatrics, Dell Medical School University of Texas at Austin  Austin Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natalie","family":"Burns","sequence":"additional","affiliation":[{"name":"Department of Statistics University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda G.","family":"Kahn","sequence":"additional","affiliation":[{"name":"Departments of Pediatrics and Population Health New York University Grossman School of Medicine  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jagteshwar","family":"Grewal","sequence":"additional","affiliation":[{"name":"Division of Population Health Research, Division of Intramural Research, Division of Intramural Population Health 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