MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Epidemiology, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Transportation Research and Injury Prevention Centre, Indian Institute of Technology Delhi, New Delhi, India.
Health Place. 2023 May;81:103024. doi: 10.1016/j.healthplace.2023.103024. Epub 2023 Apr 10.
This study aimed to examine the association between country-level environmental correlates and the prevalence of active school travel (AST) in Asia and country-level differences in AST by age and sex.
This ecological study involved 31 Asian countries. Dependent variables were AST prevalence, AST prevalence difference by age, and by sex. Independent variables were country-level environmental correlates extracted using publicly available datasets, classified into physical and social environments. Association estimates of each dependent variable and each of the independent variables were calculated using univariate linear regression. All variables were standardized to have a mean of 0 and a standard deviation of 1.
Results showed that 1 standard deviation (SD) difference in urban population percentage, night-time light, secondary-school enrolment, and prevalence of adult insufficient physical activity were negatively associated with AST prevalence (SD difference: -0.44 (-0.78 to -0.09), -0.40 (-0.76 to -0.04), -0.39 (-0.74 to -0.04), and -0.40 (-0.76 to -0.03), respectively). A 1 SD difference in car per people was associated with a -0.46 (-0.84 to -0.09) difference of AST prevalence by age. A 1 SD difference in PM2.5 concentration and of prevalence of adult insufficient physical activity were associated with a difference of 0.38 (0.01-0.74) and 0.42 (0.03-0.80) difference of AST prevalence by sex.
This study shows that Asian countries with a greater number of people living in urban areas, lower levels of overall adult physical activity and higher levels of night-time light have a lower prevalence of adolescent AST. Country-level physical and social environmental correlates explained some of the regional variance in AST. Future policy actions and interventions for the region need to be contextually sensitive to the environmental correlates that vary between countries.
本研究旨在探讨亚洲国家的环境相关性与积极上学出行(AST)的流行率之间的关系,以及按年龄和性别划分的 AST 国家间差异。
本生态研究纳入了 31 个亚洲国家。因变量为 AST 流行率、年龄和性别差异的 AST 流行率。使用公开可得的数据集提取国家层面的环境相关性,分为物理和社会环境。使用单变量线性回归计算每个因变量和每个自变量的关联估计。所有变量均标准化为均值为 0,标准差为 1。
结果显示,城市人口比例、夜间光照、中学入学率和成年人身体活动不足的流行率每增加 1 个标准差,AST 流行率分别降低 0.44(0.78 至 0.09)、0.40(0.76 至 0.04)、0.39(0.74 至 0.04)和 0.40(0.76 至 0.03)。每增加 1 个人拥有的汽车数量,AST 流行率的年龄差异减少 0.46(0.84 至 -0.09)。PM2.5 浓度和成年人身体活动不足的流行率每增加 1 个标准差,AST 流行率的性别差异分别增加 0.38(0.01-0.74)和 0.42(0.03-0.80)。
本研究表明,城市地区居住人口较多、整体成年人身体活动水平较低、夜间光照水平较高的亚洲国家,青少年 AST 的流行率较低。国家层面的物理和社会环境相关性解释了 AST 地区间差异的一部分。该地区未来的政策行动和干预措施需要对各国之间存在差异的环境相关性具有背景敏感性。