Population Wellbeing and Environment Research Lab (PowerLab), Wollonggong, NSW, Australia.
School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW, Australia.
Int J Obes (Lond). 2022 Aug;46(8):1534-1543. doi: 10.1038/s41366-022-01148-6. Epub 2022 May 30.
No studies appear to examine potential associations between changes in built environments across childhood and the developmental trajectories of child weight status.
Examine the developmental trajectories of child weight status with respect to changes in childhood exposure to the built environments.
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.
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.
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.
目前似乎没有研究考察儿童期建成环境变化与儿童体重状况发展轨迹之间的潜在关联。
研究儿童期暴露于建成环境变化与儿童体重状况发展轨迹的关系。
本研究使用了澳大利亚儿童纵向研究中 9589 名儿童的两年一次随访数据(2004-2016 年)。通过照顾者主观报告的 7 种建成环境变化(邻里安全、绿地质量、步道和街道条件、公共交通、购物设施、基本服务、当地交通),研究儿童体重状况(即 BMI、腰围)的变化。采用基于群组的离散轨迹混合模型对儿童的建成环境和体重状况的发展轨迹进行分类。采用多层多分类逻辑回归模型,在调整混杂因素后,研究建成环境与儿童体重状况之间的关联。
为建成环境变量建立了两个、四个和六个轨迹组。对于 BMI 和腰围,每个组都生成了三个组,分别是“适度”、“高”和“极度增加”。多水平分析结果表明,随着时间的推移,在被认为高度安全、附近有高质量绿地、当地交通流量低的社区中成长,有助于预防儿童期不健康的体重增加。而生活在购物设施和基本服务较好的地区,与 BMI 和/或腰围的不健康增加有关。步道和街道条件质量、公共交通可达性与儿童体重状况之间没有明显的关联。
建成环境可能是儿童期不健康体重增加的风险或保护因素。建设促进健康的邻里环境(即高度安全、附近有高质量绿地、当地交通流量低),对于支持儿童期健康的体重发展轨迹非常重要。