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目的在个体和区域两个水平上探讨社会资本对中国中老年人自我健康评价的影响。方法数据来源于中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)2011年全国基线数据。运用SPSS 20.0软件,对数据进行一般统计性描述和构建两水平线性多层模型,分析社会资本在个体和区域水平上对我国中老年人自我健康评价的影响。结果区域水平社会资本中“区域组织/协会/设施的数量”变量(b=-0.033,P<0.001)和所有个体水平社会资本变量[(出生地(b=0.098,P<0.001);接受帮助(b=-0.099,P<0.001);提供帮助(b=0.133,P<0.001)]与中老年人自我健康评价的关系有统计学意义。结论社会资本的某些变量在区域水平和个体水平上影响我国中老年人自我健康评价。
Objective To explore the impact of social capital on self-health evaluation of middle-aged and elderly people in China at the individual and regional levels. Method data are from the 2011 national baseline data from China Health and Retirement Longitudinal Study (CHARLS). The SPSS 20.0 software is used to describe the data in general and build a two-level linear multi-layer model to analyze the influence of social capital on the self-health evaluation of middle-aged and elderly people at the individual and regional level. Results Regional level Social capital Variables (b = -0.033, p <0.001) and all individual level social capital variables (birthplace (b = 0.098, p <0.001); regional organizations / associations / number of facilities (B = -0.099, P <0.001); there was statistical significance in providing help (b = 0.133, P <0.001) to the self-health evaluation of middle-aged and elderly people.Conclusion Some variables of social capital are significant at the regional level and Influencing Self-health Evaluation of Middle-aged and Old People at Individual Level.