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邻里贫困、感知邻里环境与抑郁情绪之间的关联可通过身体活动、感知个体控制和孤独感来加以解释。

Associations among neighborhood poverty, perceived neighborhood environment, and depressed mood are mediated by physical activity, perceived individual control, and loneliness.

机构信息

Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA; Department of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA; Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, NC, 27599, USA.

出版信息

Health Place. 2020 Mar;62:102278. doi: 10.1016/j.healthplace.2019.102278. Epub 2020 Jan 26.

Abstract

Few studies have documented the pathways through which individual level variables mediate the effects of neighborhoods on health. This study used structural equation modeling to examine if neighborhood characteristics are associated with depressive symptoms, and if so, what factors mediated these relationships. Cross-sectional data came from a sample of mostly rural, older adults in North Carolina (n = 1,558). Mediation analysis indicated that associations among neighborhood characteristics and depressive symptoms were mediated by loneliness (standardized indirect effect = -0.19, p < 0.001), physical activity (standardized indirect effect = -0.01, p = 0.003), and perceived individual control (standardized indirect effect = -0.07, p = 0.02) with loneliness emerging as the strongest mediator. Monitoring such individual mediators in formative and process evaluations may increase the precision of neighborhood-based interventions and policies.

摘要

很少有研究记录个体水平变量通过哪些途径来调节社区对健康的影响。本研究使用结构方程模型来检验社区特征是否与抑郁症状相关,如果相关,那么哪些因素在这些关系中起中介作用。横断面数据来自北卡罗来纳州的一个以农村老年人为主的样本(n=1558)。中介分析表明,社区特征与抑郁症状之间的关联是由孤独感(标准化间接效应=-0.19,p<0.001)、身体活动(标准化间接效应=-0.01,p=0.003)和感知个体控制(标准化间接效应=-0.07,p=0.02)介导的,其中孤独感是最强的中介因素。在形成性和过程评估中监测这些个体中介因素,可能会提高基于社区的干预措施和政策的精确性。

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