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Predictors of Developmental Patterns of Obesity in Young Children

Introduction: The current study characterizes longitudinal patterns in obesity in young children and their prediction from developmental programming and social determinant hypotheses. Materials and Methods: The data are based on the Family Life Project, a prospective longitudinal study of 1,292 fami...

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Autores principales: O'Connor, Thomas G., Williams, Jason, Blair, Clancy, Gatzke-Kopp, Lisa M., Francis, Lori, Willoughby, Michael T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105829/
https://www.ncbi.nlm.nih.gov/pubmed/32266187
http://dx.doi.org/10.3389/fped.2020.00109
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author O'Connor, Thomas G.
Williams, Jason
Blair, Clancy
Gatzke-Kopp, Lisa M.
Francis, Lori
Willoughby, Michael T.
author_facet O'Connor, Thomas G.
Williams, Jason
Blair, Clancy
Gatzke-Kopp, Lisa M.
Francis, Lori
Willoughby, Michael T.
author_sort O'Connor, Thomas G.
collection PubMed
description Introduction: The current study characterizes longitudinal patterns in obesity in young children and their prediction from developmental programming and social determinant hypotheses. Materials and Methods: The data are based on the Family Life Project, a prospective longitudinal study of 1,292 families recruited from low-income, racially diverse, rural communities in Pennsylvania, and North Carolina. Pre-natal, peri-natal, and post-natal risks for childhood obesity were collected from 2 months of age; in-person assessments of child growth were used to identity obesity on multiple occasions from 24 to 90 months of age. Results: Two major novel findings emerged. First, longitudinal analyses identified four distinct obesity development profiles: stable obesity, later-onset obesity, moderate/declining obesity, and non-obese; these groups had distinct risk profiles. Second, prediction analyses favored developmental programming explanations for obesity, including evidence even in early childhood that both low- and high birth weight was associated with stable obesity. There was no indication that pre- and peri-natal and post-natal factors predicted obesity differently in non-minority and minority children. Discussion: Factors derived from the developmental programming model of obesity overlapped with, but predicted early onset obesity independently from, risks associated with social determinant models of obesity.
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spelling pubmed-71058292020-04-07 Predictors of Developmental Patterns of Obesity in Young Children O'Connor, Thomas G. Williams, Jason Blair, Clancy Gatzke-Kopp, Lisa M. Francis, Lori Willoughby, Michael T. Front Pediatr Pediatrics Introduction: The current study characterizes longitudinal patterns in obesity in young children and their prediction from developmental programming and social determinant hypotheses. Materials and Methods: The data are based on the Family Life Project, a prospective longitudinal study of 1,292 families recruited from low-income, racially diverse, rural communities in Pennsylvania, and North Carolina. Pre-natal, peri-natal, and post-natal risks for childhood obesity were collected from 2 months of age; in-person assessments of child growth were used to identity obesity on multiple occasions from 24 to 90 months of age. Results: Two major novel findings emerged. First, longitudinal analyses identified four distinct obesity development profiles: stable obesity, later-onset obesity, moderate/declining obesity, and non-obese; these groups had distinct risk profiles. Second, prediction analyses favored developmental programming explanations for obesity, including evidence even in early childhood that both low- and high birth weight was associated with stable obesity. There was no indication that pre- and peri-natal and post-natal factors predicted obesity differently in non-minority and minority children. Discussion: Factors derived from the developmental programming model of obesity overlapped with, but predicted early onset obesity independently from, risks associated with social determinant models of obesity. Frontiers Media S.A. 2020-03-24 /pmc/articles/PMC7105829/ /pubmed/32266187 http://dx.doi.org/10.3389/fped.2020.00109 Text en Copyright © 2020 O'Connor, Williams, Blair, Gatzke-Kopp, Francis and Willoughby. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
O'Connor, Thomas G.
Williams, Jason
Blair, Clancy
Gatzke-Kopp, Lisa M.
Francis, Lori
Willoughby, Michael T.
Predictors of Developmental Patterns of Obesity in Young Children
title Predictors of Developmental Patterns of Obesity in Young Children
title_full Predictors of Developmental Patterns of Obesity in Young Children
title_fullStr Predictors of Developmental Patterns of Obesity in Young Children
title_full_unstemmed Predictors of Developmental Patterns of Obesity in Young Children
title_short Predictors of Developmental Patterns of Obesity in Young Children
title_sort predictors of developmental patterns of obesity in young children
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105829/
https://www.ncbi.nlm.nih.gov/pubmed/32266187
http://dx.doi.org/10.3389/fped.2020.00109
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