biostudies-literatureUnknown13(1)Bramhankar MLife satisfaction refers to the assessment of one's own life in terms of self-perceived favourable qualities. It is an integral part of healthy and successful course of ageing. It is widely associated with the health status and social well-being. The present study attempted to determine the constructing factors of self-rated life satisfaction, such as socio-demographic, physical, social, and mental well-being of older adults. We analysed information from the Longitudinal Ageing Study in India (LASI-1), the initial phase conducted during 2017-18 for the population of older adults in India. We applied descriptive statistics for prevalence assessment and association was checked using chi-square test. Further, to determine the adjusted outcome of predictor covariates on the likelihood of an inScientific reports9117https://www.ebi.ac.uk/biostudies/studies/S-EPMC10241830biostudies-literatureAn assessment of self-rated life satisfaction and its correlates with physical, mental and social health status among older adults in India.PMC10241830Mishra NLAdarsh ABramhankar MPandey MKundu SfalseAn assessment of self-rated life satisfaction and its correlates with physical, mental and social health status among older adults in India.Life satisfaction refers to the assessment of one's own life in terms of self-perceived favourable qualities. It is an integral part of healthy and successful course of ageing. It is widely associated with the health status and social well-being. The present study attempted to determine the constructing factors of self-rated life satisfaction, such as socio-demographic, physical, social, and mental well-being of older adults. We analysed information from the Longitudinal Ageing Study in India (LASI-1), the initial phase conducted during 2017-18 for the population of older adults in India. We applied descriptive statistics for prevalence assessment and association was checked using chi-square test. Further, to determine the adjusted outcome of predictor covariates on the likelihood of an in2023-01-01T00:00:00Z2023 Jun2025-04-04T14:39:45.658Z2025-04-04T14:39:45.658ZS-EPMC102418303727741510.1038/s41598-023-36041-3