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According to census 2011, India had nearly 104 millions of 60 years and above population. The share is projected to increase from 8 per cent in 2015 to 29 per cent in 2050, which is a matter of concern as rapid population ageing is accompanied by serious social and economic implications which are often linked with different health outcomes in general and lower subjective well-being (SWB) in particular. This paper aims to focus on how socio-economic inequality affects lower SWB among older adults. Bivariate, binary logistic regression and decomposition analysis were used for carving out the results using data from the Building a Knowledge Base on Population Ageing in India (BKPAI). The effective sample size for the analysis was 9181 older adults. The value of the concentration index for lower SWB was -0.28 in India, depicting that lower SWB was concentrated among older adults with poor socio-economic status. Educational status (22%), living arrangement (13%), trust over someone (13%), self-rated health (6%), instrumental activities of daily living (6%) and cognitive ability (5%) explained significant portion of socio-economic inequality for lower SWB among older adults. Our research highlights the urgent need for more empirical exposure to socio-economic inequality and its dynamic impact on lower SWB among older adults. Moreover, the present study recommends strengthening the current government programme to focus especially on older adults from lower socio-economic status. [ABSTRACT FROM AUTHOR]

Though a continued increase in life expectancy is a significant public health achievement, keeping older adults active and maintaining their well-being is challenging. Active aging requires physical health, mental health, functional independence, economic stability, social participation, and spiritual identification. Among all these factors, social cohesion has significant importance, but there is a dearth of studies focusing on older adults' social cohesion. Thus, the present study focuses on the level of social cohesion among older adults and its variation among the different economic classes. This article uses data from the Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa during 2007–10. Social cohesion scores have been constructed using Item Response Theory Partial Credit Model. Also, bivariate analysis, concentration curves, concentration indices, and multivariate regressions have been used for the analysis presented in this paper. This study confirms the strong predictive power of age, wealth, education, and working status of older adults on their social cohesion across the countries. Higher social non-cohesion is found among the economically poor older adults in Mexico, Russia, India, and China. In contrast, it is just opposite in the case of older adults in South Africa. Governments should develop policies to foster a society with a high level of social inclusion, social capital, and social diversity, to achieve further advancement in social cohesion. [ABSTRACT FROM AUTHOR]