Evidence map›Paper›PMID 35637263›Full record

ArticleInternational journal of obesity (2005)2022

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

I Gusti Ngurah Edi Putra, Thomas Astell-Burt, Xiaoqi Feng

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Photovoice as a Methodology in Obesity Research: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

I Gusti Ngurah Edi PutraPopulation Wellbeing and Environment Research Lab (PowerLab), Wollonggong, NSW, Australia.ORCID 0000-0002-1014-6949
Thomas Astell-BurtPopulation Wellbeing and Environment Research Lab (PowerLab), Wollonggong, NSW, Australia.
Xiaoqi FengPopulation Wellbeing and Environment Research Lab (PowerLab), Wollonggong, NSW, Australia. xiaoqi.feng@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo studies appear to examine potential associations between changes in built environments across childhood and the developmental trajectories of child weight status.

objectiveExamine the developmental trajectories of child weight status with respect to changes in childhood exposure to the built environments.

methodsThis 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.

resultsTwo, 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.

conclusionsBuilt 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.

Indexed as

Built EnvironmentResidence CharacteristicsAustraliaBody Mass IndexChildHumansLongitudinal Studies

Identifiers

PMID35637263
PMCPMC9314255

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.