RESUMEN
BACKGROUND: The study objective was estimating the prevalence and determinants of depression amongst postmenopausal women in India. Additionally, we used panel mediation analysis to model the extent to which multimorbidity was associated with depression after adjusting for the effects of functional disability in the participants. METHODS: Data from 28,160 women aged 50 and above from the Longitudinal Aging Study in India (LASI) Wave 1 were analyzed. Depression was assessed using the Composite International Diagnostic Interview-Short Form (CIDI-SF), with multimorbidity and functional disability (ADL and IADL) considered as key predictor variables. Logistic regression and Karlson-Holm-Breen (KHB) mediation analysis were employed. RESULTS: The weighted prevalence of depression among women aged ≥â¯50 years was 21.76% (95% CI: 20.81, 22.73), significantly higher women aged <â¯50 years (17.60%, 95% CI: 16.33, 18.94). Factors independently associated with increased odds of depression included being unmarried, rural residence, and multimorbidity, while higher educational status was associated with lower odds of depression. The relationship between multimorbidity and depression was partially mediated by ADL and IADL disabilities. Notable regional (state) variations in the magnitude of depression were observed. CONCLUSIONS: Nearly one in five postmenopausal women in India aged 50 years and older have clinical depression. Community screening for reaching the unreached with primary care mental health strengthening need enhanced policy focus.
