Abstract Background: Rapid population aging in India is accompanied by increasing psychosocial vulnerabilities among older adults, particularly loneliness, depression, suicidal ideation, and elder abuse. These conditions often co-occur, yet their combined burden remains underexplored in community settings. Aim: The aim of this study was to estimate the prevalence of loneliness, depression, suicidal ideation, and elder abuse and to examine their interrelationships and sociodemographic correlates among community-dwelling older adults. Materials and Methods: A community-based cross-sectional study was conducted among 625 adults aged ≥65 years in a semi-urban region of western India (October 2024–December 2025). Standardized instruments were used to assess loneliness (UCLA Loneliness Scale Version 3), depression (Patient Health Questionnaire-9), suicidal ideation (Suicidal Ideation Attributes Scale), and vulnerability to abuse (Vulnerability to Abuse Screening Scale). Data were analyzed using nonparametric tests, Spearman’s correlation, and multivariable linear regression. Results: High levels of psychosocial distress were observed: 44% of participants reported severe loneliness, 51% had depressive symptoms, 12% exhibited high-risk suicidal ideation, and 39% showed high vulnerability to abuse. Females demonstrated significantly higher loneliness, depression, and abuse scores ( P < 0.01). Loneliness showed strong positive correlations with depression ( r = 0.76, P < 0.001) and suicidal ideation ( r = 0.53, P < 0.001). Multivariable regression models explained substantial variance across outcomes ( R 2 = 0.49–0.73), with loneliness and depression emerging as dominant, interrelated predictors. Conclusion: Loneliness, depression, suicidal ideation, and elder abuse form a highly interconnected psychosocial risk cluster among older adults in semi-urban India. These findings underscore the need for integrated, community-based screening and intervention strategies addressing multiple domains of vulnerability simultaneously.
Building similarity graph...
Analyzing shared references across papers
Loading...
Shubham Kulkarni
Suprakash Chaudhury
Bhushan Chaudhari
Annals of Indian Psychiatry
Dr. D.Y. Patil Vidyapeeth, Pune
Building similarity graph...
Analyzing shared references across papers
Loading...
Kulkarni et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69eb09ff553a5433e34b4497 — DOI: https://doi.org/10.4103/aip.aip_104_26
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: