The greener the living environment, the better the health? Examining the effects of multiple green exposure metrics on physical activity and health among young students

心理健康 心理学 结构方程建模 建筑环境 路径分析(统计学) 应用心理学 凝聚力(化学) 健康福利 体力活动 环境卫生 老年学 医学 工程类 数学 统计 物理医学与康复 土木工程 化学 有机化学 心理治疗师 传统医学
作者
Yuheng Mao,Tianyu Xia,Fan Hu,Dan Chen,Yichen He,Xing Bi,Y. Zhang,Lu Cao,Jingheng Yan,Jinyu Hu,Yanzi Ren,Hongmei Xu,Jinguang Zhang,Liqing Zhang
出处
期刊:Environmental Research [Elsevier BV]
卷期号:250: 118520-118520 被引量:5
标识
DOI:10.1016/j.envres.2024.118520
摘要

The sedentary and less active lifestyle of modern college students has a significant impact on the physical and mental well-being of the college community. Campus Green Spaces (GSs) are crucial in promoting physical activity and improving students' health. However, previous research has focused on evaluating campuses as a whole, without considering the diverse spatial scenarios within the campus environment. Accordingly, this study focused on the young people's residential scenario in university and constructed a framework including a comprehensive set of objective and subjective GSs exposure metrics. A systematic, objective exposure assessment framework ranging from 2D (GSs areas), and 2.5D (GSs visibility) to 3D (GSs volume) was innovatively developed using spatial analysis, deep learning technology, and unmanned aerial vehicle (UAV) measurement technology. Subjective exposure metrics incorporated GSs visiting frequency, GSs visiting duration, and GSs perceived quality. Our cross-sectional study was based on 820 university students in Nanjing, China. Subjective measures of GSs exposure, physical activity, and health status were obtained through self-reported questionnaires. The Generalized Linear Model (GLM) was used to evaluate the associations between GSs exposure and physical activity and health effects. Physical activity and social cohesion were mediators, and path analysis based on Structural Equation Modeling (SEM) was used to disentangle the mechanisms linking GSs exposure to the health status of college students. We found (1) 2D indicator had a significant effect in the 100m buffer and the potential underlying mechanisms were: GSs area → Physical activity → Social cohesion → Physical health → Mental health; GSs area → Physical activity → Social cohesion → Mental health. (2) Subjective GSs exposure indicators were more relevant in exposure-response relationships than objective ones. This study can clarify the complex nexus and mechanisms between campus GSs, physical activity, and health, and provide a practical reference for health-oriented campus GSs planning.
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