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This study aims to document the participation of intra-household decision-making activities by older adults in India.

This study has used a nationally representative sample of 21,662 older adults (aged 60 and above) from the Longitudinal Ageing Study of India data of 2017–2018. Intra-household decision-making participation is measured based on decision-making activities that includes marriage of daughter/son, buying and selling of property, giving a gift to the family, education of family member and arrangement of social/religious events. This paper used bivariate analysis and binary logistic regression model to examine the factors associated with the participation of older adults in the intra-household decision-making activities.

The result has shown that older persons’ participation declined with increased age. This study has also found a difference in the participation of intra-households decision-making activities between male and female, rural and urban older adults, poor and rich older adults. Older adults with good health status who maintain social engagement and a good lifestyle are more likely to participate in the household’s decision-making activities.

Older adults with better economic and social status are more likely to participate in intra-household decision-making activities that make their life happier than the counterpart. Therefore, emphasis should be given to those vulnerable older adults who do not have any social and economic security in the society.

There are limited studies available on intra-household decision-making participation by older adults. This paper documents the intra-household decision-making participation by older adults in India with a nationally representative large sample.

Recent public health policy emphasizes the achievement of healthy aging as average life expectancy increases worldwide. Evidence for healthy aging from low- and middle-income countries (LMIC) is limited. The purpose of this paper is to assess the prospects of healthy aging and its associated factors in the Indian context.

The study was based on a national-level panel survey, the Indian Human Development Survey (IHDS) conducted in 2004-05 and 2011-12. The analytical sample consists of 10,218 elderly individuals who were 60 years old and above at the baseline. Change in health status was assessed based on disability and disease incidence at the follow-up. A generalized estimating equation (GEE) model was performed to assess health status change.

Increasing age was a risk factor for all dimensions of health outcomes. Elderly from the lowest wealth quintiles were more likely to lose health due to short-term morbidity, whereas the highest wealth quintiles were more likely to lose health due to long-term and multi-morbidity, indicating evidence for the presence of the “disease of affluence”. Social capital, such as living in a joint family acted as a protective factor against health risks.

With the results showing the evidence of the “disease of affluence” and “disease of poverty” in different health outcomes, there should be a health policy focus that copes with undergoing epidemiological transition. It is also important to pay attention to health-protecting factors such as social and familial support to achieve healthy aging.