建筑环境对社会经济地位与心理健康关系的中介作用:2019年上海市社区调查结果

Xiaohua Zhong, Fuqin Wang
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摘要

摘要目的:基于空间生产理论,研究建成环境对健康不平等的中介机制。这项研究验证了这样一个假设,即社会经济地位较高的人群居住的社区拥有更高质量的建筑环境,这反过来又促进了他们的心理健康。方法:基于2019年上海市社区调查数据(n=3233),采用一般线性回归模型(OLS)和Baron and Kenny(1986)经典的三步法对中介效应进行检验;随后,采用结构方程模型(bootstrap)检验了平均直接效应(ADE)和平均因果中介效应(ACME)。结果:高收入人群的厌恶设施类型较少,有利于休闲和锻炼的绿地或运动场较多,环境卫生状况较好,有利于改善其心理健康状况。收入对心理健康的总效应为0.145 (P <0.001),其中通过建筑环境的ACME效应为0.013 (P <0.05),约占8.97%。在建筑环境的三个维度中,卫生环境的中介效应较大,占总中介效应的55.07%。周边设施占34.73%,社区绿地和运动空间约占10.19%。结论:低收入群体居住的社区建筑环境质量较差,导致其心理健康水平较低。在建筑环境的空间规划中,应考虑不同居住群体的社会经济特征,并有针对性地改善低收入社区的环境质量。
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The mediating effect of built environment on the relationship between socioeconomic status and mental health: findings from the 2019 Shanghai community survey
Abstract Objective: Based on the theory of spatial production, the built environment is considered a mediating mechanism for health inequality. This study tested the hypothesis that communities, where populations with a higher socioeconomic status live, have a higher-quality built environment, which, in turn, promotes their mental health. Methods: Based on data from the 2019 Shanghai Community Survey (n=3233), the general linear regression model (OLS) and the classical three-step method developed by Baron and Kenny (1986) were used to test the mediation effects; subsequently, a structural equation model (bootstrap) was used to examine average direct effects (ADE) and average causal mediation effects (ACME). Results: There were fewer types of aversive facilities, more green spaces or sports fields conducive to leisure and exercise, and better environmental hygiene in communities with higher-income populations, all of which improved their mental health. The total effect of income on mental health was 0.145 ( P <0.001), of which the ACME effect through the built environment was 0.013 ( P <0.05), accounting for approximately 8.97%. Among the three dimensions of the built environment, the sanitation environment had a greater effect, accounting for 55.07% of the total mediation effect. Surrounding facilities accounted for 34.73%, while community green and sports spaces accounted for approximately 10.19%. Conclusions: The built environment quality of communities where low-income groups reside is worse, resulting in lower levels of their mental health. In the spatial planning of built environments, the socioeconomic characteristics of different residential groups should be considered, and the environmental quality of low-income communities should be improved using targeted measures.
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