Introduction
Life satisfaction is a person's overall assessment of their life based on the good aspects they believe they have. It is essential to effective and healthy aging and is strongly associated with social and health well-being. This research attempts to investigate the major factors that influence older adults'self-rated life satisfaction, with an emphasis on sociodemographic characteristics, functional health, mental health, and physical health.
Methodology
There are 30,370 participants in this study that are 60 years of age or older. Utilizing data from the first wave of the Longitudinal Ageing Study in India (LASI- 1), which was carried out in 2017–18, we evaluated the prevalence using descriptive statistics and looked for correlations using the chi-square test. Additionally, to quantify the adjusted impacts of predicting variables on life satisfaction, multiple multivariate ordered logistic regression models were used.
Results
Multivariate regression models confirm that physical health (AOR = 2.044, p < 0.01), mental health (AOR = 1.205, p < 0.01 for non-depressed individuals), and functional health (AOR = 0.829, p < 0.01 for IADL disability) significantly impact life satisfaction. Furthermore, older age, female gender, social engagement, and non-empty nest living arrangements contribute to higher satisfaction levels. These findings underscore the importance of integrating multidimensional health factors into policies aimed at improving the quality of life for India’s aging population.
Conclusion
This study contributes to the understanding of subjective wellbeing among India's ageing population, bridging knowledge gaps on associated behaviors. Given the ongoing demographic transition, there is a pressing need for multi-sectoral, policy-driven approaches at individual, family, and community levels to promote the physical, social, and mental wellbeing of older adults, ensuring healthier and more fulfilling ageing experiences.