The modernization and shift towards urbanized lifestyles have triggered several diseases, and the context of aging varies in urban and rural settings in India. The study aimed to investigate the urban–rural differences in successful ageing among older adults in India and the contributing factors in those differences. The study utilizes data from nationally representative Longitudinal Ageing Study in India (LASI, 2017–18). The analytical sample size for the study was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were carried out to present the initial results. Multivariable logistic regression and decomposition analysis was used to find the associations between explanatory variables and successful aging and to identify the contributions of covariates that explain the rural–urban differences in successful ageing. A proportion of 32% and 24% of older adults from rural and urban areas were successful agers with an urban disadvantage. Urban-dwelling older adults had 0.67 times [95% confidence interval (CI): (0.64, 0.71)] lower unadjusted odds of successful ageing than rural older adults. Again, after adjusting for the effect of other explanatory variables, urban older adults had 0.92 times [CI: (0.87, 0.98)] lower odds of being successful agers than their rural counterparts. The major contributors to the rural–urban inequality in successful aging were differences in regional distribution (17% contribution), waist circumference (16%), working status (16%), body mass index (13%) and physical activity (8%) among rural and urban older adults. The urban disadvantage in aging successfully may reflect the higher prevalence of adverse lifestyle behaviours in urban dwellers and under-diagnosis and under-reporting of many diseases in rural areas, particularly non-communicable diseases, suggesting the need for further investigation.

Background: Social exclusion has far-reaching consequences that extend beyond regular activities and access to resources and knowledge; social exclusion is a major social determinant of health. However, there is a lack of evidence on social exclusion and health outcomes among India’s older adults. Thus, the current study investigates the association of social exclusion with depressive symptoms among Indian older adults. Methods: This study used information on 30,366 older adults from Longitudinal Ageing Study in India (LASI) wave-1, 2017-2018. Social exclusion scores were calculated, and two broad domains of social exclusion, i.e., exclusion from civic activity & social relations and exclusion from services, were considered in the study. The depressive symptom was calculated using the CES-D score. Using logistic regression models, the average marginal effects of selected covariates and domains of social exclusion on depressive symptoms were estimated to assess the links between social exclusion and depressive symptoms. Results: With the increase in the social exclusion score in the selected domains, the prevalence of depressive symptoms among older also increased. Elderly persons who do not vote or live alone in the domain of being excluded from civic & social activities and older adults excluded from services were observed to have a higher prevalence of depressive symptoms. Adjusting for sociodemographic factors, the average marginal effects suggested that older with four scores of civic activity & social relation exclusion, two scores of service exclusion and four scores of overall social exclusion were estimated to have a higher prevalence of depressive symptoms, respectively. Conclusions: This study’s findings shed light on social exclusion and its relationship to depressive symptoms among older Indians. Older health care services should be expanded in breadth while also addressing social exclusion, resulting in considerable improvements in older individuals’ mental health.

Background: Due to changes in demographic and epidemiological scenarios, and the gradual increase in the older population, India is yet to prepare for rising nutrition and health-related issues among older adults in the coming decades. While the process of ageing and its associated aspect has been found to have an urban-rural divide. Thus, this study examines rural/urban differences in unmet needs for food and healthcare among Indian older adults. Methods: A sample of 31,464 older adults aged 60 years and above were considered in the study from the Longitudinal and Ageing Survey of India (LASI). The bivariate analysis was done using the sampling weights. Logistic regression and decomposition analysis was used to explain the rural-urban gap in the unmet needs for food and healthcare among Indian older adults. Results: Rural older adults were more vulnerable to meeting the need for health and food than their urban counterparts. While factors that contributed majorly to the difference in unmet need for food between urban and rural were education (34.98%), social group (6.58%), living arrangements (3.34%) and monthly per capita expenditure (MPCE) (2.84%). Similarly, for the unmet need for health, the factors that contributed the most to the rural-urban gap are education (28.2%), household size (2.32%), and MPCE (1.27%). Conclusion: The study indicates more vulnerability among rural older adults than compared to urban older individuals. The targeted policy-level efforts should be initiated considering the economic and residential vulnerability identified in the study. There is a need for primary care services that can provide targeted help to older adults in rural communities.