Research paperChanges in depression among older adults in China: A latent transition analysis

- Depression in late life is an important public health problem in developing countries.
- Geriatric depression is heterogeneous in appearance and is unstable, associated with risk and protective factors.
- We found depression subgroups and transition pattern in older adults, as well as that protective factor were associated with these.

BackgroundDepression in late life is an important public health problem in developing countries. It is timely to investigate stability and transition patterns of depressive symptom subtypes.MethodsLongitudinal data were used from the China Health and Retirement Longitudinal Study (CHARLS). A total of 853 women and 930 men aged 60-96 years were recruited. Latent class and latent transition analysis (LCA/LTA) were used to identify meaningful subgroups, transitions between those classes across time, and baseline demographic features that help to predict and design tailored interventions.ResultsThree depression subgroups were identified: Class 1 was labeled “Mild Depression”; Class 2 was labeled “Severe Depression” and class 3 was labeled “Lack of Positive Affect”. A predominant tendency for stability appeared rather than change, meanwhile individual in Mild Depression and Severe Depression latent status both had a high probability to convert to the Lack of Positive Affect latent status. Social activities played a significant role in buffering the effect of depression, while individuals with chronic diseases, having difficulty with ADLs and smoking might be at-risk groups.LimitationsThe limitations of the present study were inherent limitation in the LTA model and some small proportion of transitions.ConclusionsThis study demonstrated a transition pattern in older adult depression within a person-centered approach. Differential treatment effects were found across baseline depression class, suggesting the benefit for tailored intervention programs to improve depression outcomes among older adults.