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A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants
BACKGROUND: Accurately characterizing children’s body mass index (BMI) trajectories and studying their determinants is a statistical challenge. There is a need to identify early public health measures for obesity prevention. We describe a method that allows studies of the determinants of height, wei...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915665/ https://www.ncbi.nlm.nih.gov/pubmed/27327164 http://dx.doi.org/10.1371/journal.pone.0157766 |
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author | Carles, Sophie Charles, Marie-Aline Forhan, Anne Slama, Rémy Heude, Barbara Botton, Jérémie |
author_facet | Carles, Sophie Charles, Marie-Aline Forhan, Anne Slama, Rémy Heude, Barbara Botton, Jérémie |
author_sort | Carles, Sophie |
collection | PubMed |
description | BACKGROUND: Accurately characterizing children’s body mass index (BMI) trajectories and studying their determinants is a statistical challenge. There is a need to identify early public health measures for obesity prevention. We describe a method that allows studies of the determinants of height, weight and BMI growth up to five years of age. We illustrated this method using maternal smoking during pregnancy as one of the early-life factors that is potentially involved in prenatal programming of obesity. METHODS: Individual height and weight trajectories were fitted using the Jenss-Bayley model on 28,381 and 30,515 measurements, respectively, from 1,666 children to deduce BMI trajectories. We assessed global associations between smoking and growth trajectories and cross-sectional associations at specific ages. RESULTS: Children exposed in late pregnancy had a 0.24 kg/m(2) (95% confidence interval: 0.07, 0.41) higher BMI at 5 years of age compared with non-exposed children. Although the BMIs of children exposed during late pregnancy became significantly higher compared with those of non-exposed children from 2 years onwards, the trajectories began to diverge during the first weeks of life. CONCLUSION: Our method is relevant for studies on the relationships between individual-level exposures and the dynamics and shapes of BMI growth during childhood, including key features such as instantaneous growth velocities and the age or BMI value at the BMI infancy peak that benefit from the monotonic pattern of height and weight growth. |
format | Online Article Text |
id | pubmed-4915665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49156652016-07-06 A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants Carles, Sophie Charles, Marie-Aline Forhan, Anne Slama, Rémy Heude, Barbara Botton, Jérémie PLoS One Research Article BACKGROUND: Accurately characterizing children’s body mass index (BMI) trajectories and studying their determinants is a statistical challenge. There is a need to identify early public health measures for obesity prevention. We describe a method that allows studies of the determinants of height, weight and BMI growth up to five years of age. We illustrated this method using maternal smoking during pregnancy as one of the early-life factors that is potentially involved in prenatal programming of obesity. METHODS: Individual height and weight trajectories were fitted using the Jenss-Bayley model on 28,381 and 30,515 measurements, respectively, from 1,666 children to deduce BMI trajectories. We assessed global associations between smoking and growth trajectories and cross-sectional associations at specific ages. RESULTS: Children exposed in late pregnancy had a 0.24 kg/m(2) (95% confidence interval: 0.07, 0.41) higher BMI at 5 years of age compared with non-exposed children. Although the BMIs of children exposed during late pregnancy became significantly higher compared with those of non-exposed children from 2 years onwards, the trajectories began to diverge during the first weeks of life. CONCLUSION: Our method is relevant for studies on the relationships between individual-level exposures and the dynamics and shapes of BMI growth during childhood, including key features such as instantaneous growth velocities and the age or BMI value at the BMI infancy peak that benefit from the monotonic pattern of height and weight growth. Public Library of Science 2016-06-21 /pmc/articles/PMC4915665/ /pubmed/27327164 http://dx.doi.org/10.1371/journal.pone.0157766 Text en © 2016 Carles et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Carles, Sophie Charles, Marie-Aline Forhan, Anne Slama, Rémy Heude, Barbara Botton, Jérémie A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title | A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title_full | A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title_fullStr | A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title_full_unstemmed | A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title_short | A Novel Method to Describe Early Offspring Body Mass Index (BMI) Trajectories and to Study Its Determinants |
title_sort | novel method to describe early offspring body mass index (bmi) trajectories and to study its determinants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915665/ https://www.ncbi.nlm.nih.gov/pubmed/27327164 http://dx.doi.org/10.1371/journal.pone.0157766 |
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