Abstract

Depression among older adults in rural areas, a multiply disadvantaged group, has become a severe public health issue in China. Few studies, however, examine the role of rural living conditions as a potential risk factor for depression. This study uses panel data from CHARLS, a Chinese population-based longitudinal study, and employs growth mixture modeling to examine the association between rural housing characteristics and the heterogeneous pattern of depression trajectories among elderly adults in rural areas. The results suggest that there is heterogeneity in elderly people's depression and that stably living in multifloor and high-quality houses is associated with a higher probability of being in the stably low-depression trajectory class.

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