{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T08:35:32Z","timestamp":1792053332577,"version":"4.4.0"},"reference-count":28,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,5,3]],"date-time":"2018-05-03T00:00:00Z","timestamp":1525305600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>The goal of this study was to identify patterns of BMI changes across childhood (ages 24 months to 13 years) and to assess whether demographic characteristics, birth weight, and percent infant weight gain from birth to 15 months predicted BMI patterns.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Eleven waves of data from the Study of Early Child Care and Youth Development were used. Trained technicians assessed children's weight at birth and 10 times from 15 months to eighth grade (<jats:italic>N\u2009<\/jats:italic>=\u20091364). Latent growth modeling was used to estimate BMI change trajectories, and logistic regression was used to predict membership in trajectory classes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Children in the high\u2010rising and low\u2010to\u2010high BMI patterns had the highest BMI of all trajectory groups during middle childhood. Birth weight and infant weight gain were stronger predictors of trajectory membership than gender or race\/ethnicity. Infant weight gain predicted high\u2010rising membership over and above the effect of birth weight. African American children had lower birth weight, faster infant weight increase, and higher odds of being in one of the rising trajectories. Risk algorithms are provided.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Clinicians should monitor weight gain during infancy independent of birth weight. Researchers should continue investigating the lasting physiological effects of early rapid weight gain in infancy.<\/jats:p><\/jats:sec>","DOI":"10.1002\/oby.22177","type":"journal-article","created":{"date-parts":[[2018,5,3]],"date-time":"2018-05-03T12:22:21Z","timestamp":1525350141000},"page":"1050-1056","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Identification of Children's BMI Trajectories and Prediction from Weight Gain in Infancy"],"prefix":"10.1002","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1822-8057","authenticated-orcid":false,"given":"Anne","family":"Bichteler","sequence":"first","affiliation":[{"name":"Department of Human Development and Family Sciences University of Texas at Austin Austin Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizabeth T.","family":"Gershoff","sequence":"additional","affiliation":[{"name":"Department of Human Development and Family Sciences University of Texas at Austin Austin Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,5,3]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.318.7181.427"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0904130"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2044-8287.2012.02078.x"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2458-14-417"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/archpediatrics.2011.153"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2007.585"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-9004.2007.00054.x"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0803141"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.38470.670903.E0"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-789X.2011.00867.x"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2008-1149"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyl130"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-789X.2005.00183.x"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/08035250600724507"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11154-012-9216-6"},{"key":"e_1_2_7_17_1","unstructured":"Eunice Kennedy Shriver National Institute of Child Health and Human Development.NICHD Study of Early Child Care and Youth Development (SECCYD).http:\/\/www.nichd.nih.gov\/research\/supported\/Pages\/seccyd.aspx. 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Chan School of Public Health.Obesity prevention source: Prenatal and early life influences.https:\/\/www.hsph.harvard.edu\/obesity-prevention-source\/obesity-causes\/prenatal-postnatal-obesity\/. Accessed February 21 2018."},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.annepidem.2009.09.008"},{"key":"e_1_2_7_27_1","article-title":"Prevalence of obesity among children and adolescents: United States, trends 1963\u20101965 through 2007\u20132008","author":"Ogden CL","year":"2010","journal-title":"Health E\u2010Stats"},{"key":"e_1_2_7_28_1","doi-asserted-by":"publisher","DOI":"10.3945\/ajcn.2009.28589"},{"key":"e_1_2_7_29_1","unstructured":"KuczmarskiRJ OgdenCL GuoSS et al. 2000 CDC growth charts for the United States: Methods and development. Vital and health statistics series 11 no. 246. 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