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Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis
Children's body mass index (BMI) growth trajectories are associated with adult health outcomes, and vary by geography and epoch. Understanding these trajectories could help to identify high risk children and thus support improved health outcomes. In this review, we compare and quantitatively an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439270/ https://www.ncbi.nlm.nih.gov/pubmed/30976485 http://dx.doi.org/10.1016/j.pmedr.2019.100834 |
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author | Robinson, Heather A. Dam, Rinita Hassan, Lamiece Jenkins, David Buchan, Iain Sperrin, Matthew |
author_facet | Robinson, Heather A. Dam, Rinita Hassan, Lamiece Jenkins, David Buchan, Iain Sperrin, Matthew |
author_sort | Robinson, Heather A. |
collection | PubMed |
description | Children's body mass index (BMI) growth trajectories are associated with adult health outcomes, and vary by geography and epoch. Understanding these trajectories could help to identify high risk children and thus support improved health outcomes. In this review, we compare and quantitatively analyse BMI level and trajectory data published since 2010. We characterise recent growth in children aged 4–11 years, an age range most frequently targeted for BMI intervention, yet less studied than young childhood or infancy. Through searches in OVID, we identified 54 relevant texts which describe either post-2000 summary BMI values by age and gender in cohorts with sample sizes of over 1000 children, or the results of latent class analyses of BMI trajectories within the 4–11 year age range. Population level median growth curves were projected and visualised as weighted means. These BMI curves, based on data from 729,692 children, can be visually clustered into ‘high’ and ‘low’ charting groups with extreme outlying values. Within populations, latent class analyses converge on 3–4 individual child trajectories, two of which predispose adult overweight. These growth pathways diverge early in childhood, yet are not effectively distinguished via isolated BMI measurements taken between 4 and 11 years, meaning some high risk children may currently be poorly identified. |
format | Online Article Text |
id | pubmed-6439270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64392702019-04-11 Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis Robinson, Heather A. Dam, Rinita Hassan, Lamiece Jenkins, David Buchan, Iain Sperrin, Matthew Prev Med Rep Review Article Children's body mass index (BMI) growth trajectories are associated with adult health outcomes, and vary by geography and epoch. Understanding these trajectories could help to identify high risk children and thus support improved health outcomes. In this review, we compare and quantitatively analyse BMI level and trajectory data published since 2010. We characterise recent growth in children aged 4–11 years, an age range most frequently targeted for BMI intervention, yet less studied than young childhood or infancy. Through searches in OVID, we identified 54 relevant texts which describe either post-2000 summary BMI values by age and gender in cohorts with sample sizes of over 1000 children, or the results of latent class analyses of BMI trajectories within the 4–11 year age range. Population level median growth curves were projected and visualised as weighted means. These BMI curves, based on data from 729,692 children, can be visually clustered into ‘high’ and ‘low’ charting groups with extreme outlying values. Within populations, latent class analyses converge on 3–4 individual child trajectories, two of which predispose adult overweight. These growth pathways diverge early in childhood, yet are not effectively distinguished via isolated BMI measurements taken between 4 and 11 years, meaning some high risk children may currently be poorly identified. Elsevier 2019-03-12 /pmc/articles/PMC6439270/ /pubmed/30976485 http://dx.doi.org/10.1016/j.pmedr.2019.100834 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Robinson, Heather A. Dam, Rinita Hassan, Lamiece Jenkins, David Buchan, Iain Sperrin, Matthew Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title | Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title_full | Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title_fullStr | Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title_full_unstemmed | Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title_short | Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis |
title_sort | post-2000 growth trajectories in children aged 4–11 years: a review and quantitative analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439270/ https://www.ncbi.nlm.nih.gov/pubmed/30976485 http://dx.doi.org/10.1016/j.pmedr.2019.100834 |
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