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Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children

BACKGROUND: No studies appear to examine potential associations between changes in built environments across childhood and the developmental trajectories of child weight status. OBJECTIVE: Examine the developmental trajectories of child weight status with respect to changes in childhood exposure to...

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Autores principales: Putra, I Gusti Ngurah Edi, Astell-Burt, Thomas, Feng, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314255/
https://www.ncbi.nlm.nih.gov/pubmed/35637263
http://dx.doi.org/10.1038/s41366-022-01148-6
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author Putra, I Gusti Ngurah Edi
Astell-Burt, Thomas
Feng, Xiaoqi
author_facet Putra, I Gusti Ngurah Edi
Astell-Burt, Thomas
Feng, Xiaoqi
author_sort Putra, I Gusti Ngurah Edi
collection PubMed
description BACKGROUND: No studies appear to examine potential associations between changes in built environments across childhood and the developmental trajectories of child weight status. OBJECTIVE: Examine the developmental trajectories of child weight status with respect to changes in childhood exposure to the built environments. METHODS: This study used data of 9589 children with biennial follow-up (2004–2016), retrieved from the Longitudinal Study of Australian Children. Changes in objectively-measured child weight status (i.e., body mass index-BMI, waist circumference) were investigated in relation to changes in seven built environments (i.e., neighbourhood safety; green space quality; footpaths and street conditions; public transport; shopping facilities; basic services; and local traffic) subjectively reported by caregivers. Group-based discrete trajectory mixture models were used to classify children according to their developmental trajectories of built environments and weight status. Multilevel multinomial logistic regression was employed to examine associations between built environments and child weight status adjusted for confounding. RESULTS: Two, four, and six trajectory groups were developed for built environment variables. Three groups namely “moderate”, “high”, and “extreme increase” were generated for each BMI and waist circumference. Findings from multilevel analyses indicated that growing up in neighbourhoods that are considered highly safe, with better quality of green space nearby, and in areas with low local traffic over time are protective against unhealthy weight increase in childhood. Meanwhile, living with better access to shopping facilities and basic services was associated with an unhealthy increase in BMI and/or waist circumference. No clear associations appeared between the quality of footpath and street conditions, access to public transport, and child weight status. CONCLUSIONS: Built environments might act either as a risk or protective factor of an unhealthy increase in child weight status. Enabling health-promoting neighbourhoods (i.e., highly safe, quality green space nearby, low local traffic) is important to support a healthy weight trajectory across childhood.
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spelling pubmed-93142552022-07-27 Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children Putra, I Gusti Ngurah Edi Astell-Burt, Thomas Feng, Xiaoqi Int J Obes (Lond) Article BACKGROUND: No studies appear to examine potential associations between changes in built environments across childhood and the developmental trajectories of child weight status. OBJECTIVE: Examine the developmental trajectories of child weight status with respect to changes in childhood exposure to the built environments. METHODS: This study used data of 9589 children with biennial follow-up (2004–2016), retrieved from the Longitudinal Study of Australian Children. Changes in objectively-measured child weight status (i.e., body mass index-BMI, waist circumference) were investigated in relation to changes in seven built environments (i.e., neighbourhood safety; green space quality; footpaths and street conditions; public transport; shopping facilities; basic services; and local traffic) subjectively reported by caregivers. Group-based discrete trajectory mixture models were used to classify children according to their developmental trajectories of built environments and weight status. Multilevel multinomial logistic regression was employed to examine associations between built environments and child weight status adjusted for confounding. RESULTS: Two, four, and six trajectory groups were developed for built environment variables. Three groups namely “moderate”, “high”, and “extreme increase” were generated for each BMI and waist circumference. Findings from multilevel analyses indicated that growing up in neighbourhoods that are considered highly safe, with better quality of green space nearby, and in areas with low local traffic over time are protective against unhealthy weight increase in childhood. Meanwhile, living with better access to shopping facilities and basic services was associated with an unhealthy increase in BMI and/or waist circumference. No clear associations appeared between the quality of footpath and street conditions, access to public transport, and child weight status. CONCLUSIONS: Built environments might act either as a risk or protective factor of an unhealthy increase in child weight status. Enabling health-promoting neighbourhoods (i.e., highly safe, quality green space nearby, low local traffic) is important to support a healthy weight trajectory across childhood. Nature Publishing Group UK 2022-05-30 2022 /pmc/articles/PMC9314255/ /pubmed/35637263 http://dx.doi.org/10.1038/s41366-022-01148-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Putra, I Gusti Ngurah Edi
Astell-Burt, Thomas
Feng, Xiaoqi
Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title_full Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title_fullStr Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title_full_unstemmed Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title_short Association between built environments and weight status: evidence from longitudinal data of 9589 Australian children
title_sort association between built environments and weight status: evidence from longitudinal data of 9589 australian children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314255/
https://www.ncbi.nlm.nih.gov/pubmed/35637263
http://dx.doi.org/10.1038/s41366-022-01148-6
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