Bridge symptoms of depression and anxiety among older adults in China: a longitudinal network comparison by living arrangements

中国老年人抑郁和焦虑桥接症状:基于居住安排的纵向网络比较

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Abstract

BACKGROUND: Comorbidity of depression and anxiety is highly prevalent among older adults, yet longitudinal evidence on how different living arrangements shape the interactions between these symptoms remains scarce. METHODS: Data were drawn from the 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Participants aged ≥60 years who completed both the CES-D-10 and GAD-7 were included. After 1:1 propensity score matching (PSM) on key demographic variables, the final analytic sample comprised 834 older adults. Bayesian Gaussian Graphical Models were applied to construct contemporaneous and lag-1 temporal networks. Bridge edges linking depressive and anxiety clusters were identified, and group differences were examined using the Network Comparison Test (NCT). RESULTS: The mean age of the sample was 84.5 years; 61.7% were female, and 84.5% held rural hukou. In the overall sample, the strongest bridge edge was between CESD10 (poor sleep quality) and GAD1 (feeling nervous, anxious, or on edge) (r = 0.105). Subgroup analyses revealed distinct bridge-symptom pathways: a "sleep-anxiety" pathway in those living alone (CESD10-GAD1, r = 0.161) and a "tension-worry" pathway in those living with family (CESD6-GAD6, r = 0.130). The NCT indicated no significant difference in global network strength (Δ = 0.131, p = 0.706), but five cross-cluster edges differed significantly between groups (p < 0.05). CONCLUSIONS: Living arrangements shape the bridge-symptom mechanisms linking depressive and anxiety symptoms in later life. Interventions for older adults living alone should prioritize improving sleep, whereas those for older adults living with family should emphasize emotional regulation and family support. These findings provide longitudinal, network-based evidence on context-specific comorbidity mechanisms and offer empirical guidance for tailored public health and clinical interventions.

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