Family Structure and Its Changes and Depressive Symptoms in Later Life: How Intergenerational Support Makes a Difference
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: Depressive symptoms are common among middle-aged and older adults. This study examined the associations of family structure and its transitions with depressive symptoms, and the mediating role of intergenerational support. METHODS: Participants were drawn from the first five waves of CHARLS. Family structure and transitions were assessed at baseline (Wave 1) and Wave 2. Outcome was defined as new-onset depressive symptoms occurring after Wave 2 among participants who were free of depressive symptoms at both Wave 1 and Wave 2. A Cox proportional hazards model was used to examine the association between family structure/transitions and incident depressive symptoms. Parallel mediation analysis was conducted to examine the potential mediating effects of intergenerational support. RESULTS: Compared with two-generation households, skipped-generation households were associated with a higher risk of depressive symptoms in older adults (HR = 1.30, 95% CI: 1.04-1.63), and transitions from two-generation to skipped-generation households were also associated with a higher risk (HR = 1.54, 95% CI: 1.06-2.23). Emotional support partially mediated this association. CONCLUSIONS: Older adults living in or transitioning to skipped-generation households are associated with a higher risk of depressive symptoms, suggesting that public health efforts should prioritize skipped-generation households and the processes leading to their formation.
Source: Healthcare
Authors: Yaocheng Luo, Youtao Mou, Zhenzhen Peng, Peng Zeng, Lin Fu, Jiaxin Guo, Zumin Shi, Yong Zhao
Institutions: Chongqing Medical University, Qatar University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,258
Funder: Chinese Nutrition Society
Award: G7385669600
OpenAlex ID: W7165967662
