调解
适度
娱乐
多级模型
结构方程建模
心理学
心理健康
邻里(数学)
环境卫生
背景(考古学)
调解
地理
社会心理学
社会学
医学
政治学
数学分析
机器学习
统计
考古
计算机科学
法学
社会科学
心理治疗师
数学
作者
Ye Liu,Ruoyu Wang,Yang Xiao,Baishi Huang,Hongsheng Chen,Zhigang Li
出处
期刊:Health & Place
[Elsevier]
日期:2019-07-01
卷期号:58: 102168-102168
被引量:147
标识
DOI:10.1016/j.healthplace.2019.102168
摘要
Although a plethora of studies have investigated the association between green exposure and mental health in developed countries, it is only recently that academics and policymakers have paid attention to how this association works in rapidly urbanizing and developing countries. This study aims to explore biopsychosocial pathways linking residential greenness exposure to depression in the Chinese context using data from the 2016 wave of China Labour-force Dynamics Survey. Results from multilevel models along with mediation analysis show that exposure to residential greenness is negatively associated with depression, and that physical activity, stress and neighbourhood social cohesion altogether have a complete mediation effect on this association. Results from moderation analysis suggest that urbanicity moderates the relationship between greenness exposure and depression, and that the relationship is strongest at the upper level of urbanicity. Our findings suggest the necessity of increasing the provision of recreational green spaces and improving the quality of green spaces in Chinese less urbanized areas.
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