Objectives <p>Falls are a major public health concern among older adults, contributing to injury, disability, and mortality. While global research highlights multiple risk factors, evidence on the association between depressive symptoms and falls in the Indian context remains limited, particularly considering India’s unique social stratification. This study examines the relationship between depressive symptoms and falls among older Indian adults.</p> Methods <p>Data from 29,682 individuals aged 60&#xa0;years and above from the Longitudinal Ageing Study in India (LASI) Wave 1 were analysed. The primary outcome was self-reported falls in the past two years. The main explanatory variable was depressive symptoms measured using the CES-D 10-item scale. Multivariable logistic regression models were applied to assess the relationship. The analysis is primarily exploratory, aimed at estimating adjusted associations rather than developing a validated individual‑level prediction tool.</p> Results <p>Depressive symptoms were independently associated with higher odds of fall (aOR: 1.03; 95% CI 1.01–1.05). Other significant risk factors included female sex, vision problems, multimorbidity, higher functional limitation scores, physical activity, and substance use. Sociodemographic factors like wealth, caste, and place of residence also showed notable associations.</p> Conclusion <p>The findings underscore the importance of integrating mental health assessment into fall prevention strategies among India’s older population. Specifically, policies should prioritize coordinated care models that simultaneously address chronic physical conditions and mental health challenges, with tailored psychosocial support embedded within routine geriatric services.</p> Graphical Abstract <p></p>

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Examining the mental health–fall nexus in older Indian adults

  • Shanku Paul,
  • Jayashree Das

摘要

Objectives

Falls are a major public health concern among older adults, contributing to injury, disability, and mortality. While global research highlights multiple risk factors, evidence on the association between depressive symptoms and falls in the Indian context remains limited, particularly considering India’s unique social stratification. This study examines the relationship between depressive symptoms and falls among older Indian adults.

Methods

Data from 29,682 individuals aged 60 years and above from the Longitudinal Ageing Study in India (LASI) Wave 1 were analysed. The primary outcome was self-reported falls in the past two years. The main explanatory variable was depressive symptoms measured using the CES-D 10-item scale. Multivariable logistic regression models were applied to assess the relationship. The analysis is primarily exploratory, aimed at estimating adjusted associations rather than developing a validated individual‑level prediction tool.

Results

Depressive symptoms were independently associated with higher odds of fall (aOR: 1.03; 95% CI 1.01–1.05). Other significant risk factors included female sex, vision problems, multimorbidity, higher functional limitation scores, physical activity, and substance use. Sociodemographic factors like wealth, caste, and place of residence also showed notable associations.

Conclusion

The findings underscore the importance of integrating mental health assessment into fall prevention strategies among India’s older population. Specifically, policies should prioritize coordinated care models that simultaneously address chronic physical conditions and mental health challenges, with tailored psychosocial support embedded within routine geriatric services.

Graphical Abstract