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It has been found that people with disabilities remain at the margin as far as the different aspects of their lives are concerned. This paper tests the hypothesis that disability leads to lower quality of life among older adults in low and middle-income countries. The data from the Study on Global Ageing and Adult Health (SAGE) was used in this study which was conducted in Ghana, China, India, Russia, South Africa and Mexico. The disability scores have been made utilising Item Response Theory, Partial Credit Model and are centered on eight functioning and health areas. Bivariate analysis, binary logistic regression and pooled regression analysis have been used to fulfil the objectives of the paper. The findings reveal that disability acts as a hindrance in attaining a high quality of life (HQOL) amongst the older adults in the above mentioned low and middle-income countries. The older adults with disability are as much as 60% less likely to enjoy an HQOL with respect to the older adults without disability. Better socio-economic development like improved health care for disabled older adults with disability enhanced living standards for both abled and disabled, efficient pension schemes for older adults with disability and effective social service schemes would be very much essential to improve overall QOL among older adults. [ABSTRACT FROM AUTHOR]

Retirement is a psycho social process. It refers to the phase of life when a person leaves his job and withdraws from active working life. Proper optimization of retirement is only possible when a person has pre planned his life with proper finances and saving or the government is providing him with a lot of social security benefits. However, such conditions rarely occur as a person is preoccupied in his pre retirement phases. But proper optimization of retirement can also take place when a person has high social intelligence which affects physical and mental health. Hence, this paper is an endeavor to look into the relevance of social intelligence which helps the people in their retirement process in the people. Thus, a survey was done to find the level of Social Intelligence in the people who are ageing and are going to be retired soon. Around 252 people between 55 to 70 years were studied from Delhi and NCR. The result indicated that middle aged and just retired people had high social intelligence as compared to older adults and the former were also able to optimize their retirement effectively for successful ageing. The older adults were not able to cope up with the various issues of retirement due to low social intelligence. Hence, further studies can be carried out to design proper training for enhancement of social intelligence in aged people for their effective optimization of retirement. [ABSTRACT FROM AUTHOR]

India's traditional kinship behavior have undergone certain fundamental changes due to recent development and functioning of Indian society. Of all, the most dominant change is in the form of co-residence of children with their parents in old age. Without familial support, falling or no income and poor health, today, older adults are the most vulnerable population sub-group in the total population. Therefore, by using the India Human Development Survey-II, 2011-12 data we study the relevant association of living arrangement on health status of the older adults. Our results indicate that older adults living alone have significant and strong association with adverse health conditions such as Cataract, Hypertension, and Heart Disease. On the backdrop of health variations of older adults, it is understood that among other socio-economic conditions, living arrangement have serious implications on the health status of the older adults. Thus, we strongly support the notion that older adults with proper family care and support are more likely to be in a better health position as compared to those deprived of it. [ABSTRACT FROM AUTHOR]

Indian population is ageing at a higher pace coupled with the increase in life expectancy, and the prevalence of cognitive impairment, dementia, and comorbidities increase dramatically with age. Such cognitive and physical changes are intimately linked with declines in everyday functioning that include loss of decision-making skills. The present study explored the relationship between socioeconomic and health status of older adults and their role in household decision making. The study used data from the "Building a Knowledge Base of Population Ageing in India" (BKPAI) survey conducted in 2011 (n = 9181). Descriptive statistics along with multivariate negative binomial and binary logistic regression analyses were conducted. A proportion of 29.7% of older adults had no or partial involvement in household decision making and 26.5% of older adults reported that they had witnessed a decline in their role as decision-maker. The involvement of older adults in household decision making was 1.51 times lower among those who did not contribute money in household expenditure (incidence rate tatio (IRR):1.51; 95% confidence interval (CI): 1.24, 1.84) than those who contributed. Respondents who had low cognitive ability (IRR: 1.22; 95% CI: 1.09, 1.37) or had more than one disability (IRR: 1.27; 95%CI: 1.09, 1.47) were significantly 1.22 and 1.27 times less likely to have involvement in household decision making, respecctively. Older adults who reported low self-rated health (adjusted odds rati (aOR): 1.4; 95% CI: 1.21, 1.61), low general health (aOR: 2.85; 95% CI: 2.46, 3.31), low subjective wellbeing (aOR: 2.29; 95% CI: 1.99, 2.64) and low IADL (aOR: 1.49; 95% CI: 1.31, 1.69) were significantly more likely to report a decline in the role as a decision maker compared to their healthy counterparts. Along with the poor socioeconomic characteristics, the negative effects of cognitive and health markers of ageing further diminish the role of older adults in household decision making. Further research in the field of familial role and importance of older adults in different family settings is required in tackling a wide range of issues related to the wellbeing of the aged population. [ABSTRACT FROM AUTHOR]

Amidst a rapidly aging population, living alone is considered as a living arrangement with various disadvantages. The study aimed to assess the association between older adults living in one-person-households (OPH) and their socio-economic status along with associated inequalities. The data for the present study was utilized from National Family Health Survey, 2015–16 (n = 146, 657). Descriptive, bivariate along with multivariable analysis was used to fulfil the aim of the present study. For assessing socio-economic differentials in OPH, concentration index along with Wagstaff decomposition analysis was used. It was revealed that poor older adults had a higher proportion of OPH (12.7%) than older adults from the non-poor category (3.8%). The value of concentration index was -0.38 indicating the concentration of OPH among poor older adults. Manipur had the highest value of concentration index (-0.614). The highest percentage of poor OPH among older adults was in Kerala (30.7%) and whereas it was lowest among older adults in Bihar (5.9%). About 33.6% of socio-economic status related-inequality was explained by the marital status of older adults followed by older adults' place of residence (30.9%) and gender (29.3%). Older adults who are poor, women, never married, and living in rural areas need greater attention from both governmental and non-governmental organizations. In addition, policies should be designed by differentiating between older adults who live alone by choice and those who are forced by circumstances to map the vulnerabilities effectively. [ABSTRACT FROM AUTHOR]

The living arrangement is an essential social support mechanism affecting older adults' health and well-being. As the Indian family structure changes over time, India's older population needs detailed investigation for its well-being due to living arrangements. This study investigates the association between the change in living arrangements after reaching age 60 years with subjective well-being and psychological health among older adults in India. We used the survey data "Building Knowledge Base on Population Ageing" in India conducted in 2011. The effective sample size for the study was 9231 older adults. Descriptive and bivariate analysis was done to present sample distribution and unadjusted estimates, respectively. Ordered logistic regression analysis was performed to understand the association between the living arrangements of the older adults and their psychological health. The outcome variables were ordered as 0 "best", 1 "good", and 2 "worst". The results showed that older adults with a change in living arrangement after turning 60 years had a higher prevalence of poor psychological health (27.5%) and low subjective well-being (36%). It was found that older adults with change in living arrangement after turning old had 84% and 54% higher likelihood to report worst psychological health [AOR: 1.84; CI: 1.48–2.27] and worst subjective well-being [AOR: 1.54; CI: 1.22–1.93] compared to older adults who did not change their living arrangement after turning old. A change in old-age living arrangements is associated with older adults' psychological health and subjective well-being in India. Older adults with a change in living arrangements need special policy attention. [ABSTRACT FROM AUTHOR]

Household age-sex composition in India is changing fast due to persistently declining fertility and improvement in life expectancy, rural–urban migration and change in family orientation. Under such circumstances healthcare of older adults is expected to be affected as they mostly depend on other household members. Keeping this in view the present study attempts to answer the question 'How does the change in household age-sex composition affect out of pocket healthcare expenditure of older adults in India?'. Household age-sex composition and healthcare expenditure for rounds of National Sample Survey Organaization (NSSO) conducted in 1993, 1999–00 and 2007–08 are used for the study. Considerable shift in the share of older adults over period of time is noticed and the change in household age-sex composition is found to have significant effect on healthcare expenditure of older adults. More specifically the share of consumption by older adults above 60 years has increased substantially over time with the increase in their composition. The study provides empirical evidence to support the need for public policies to respond to the growing challenges of the changing age structure of India's population. [ABSTRACT FROM AUTHOR]

The proportion of older adults are increasing at a much higher rate than ever expected in both developing and developed countries, and India is no exception. High health care expenditure is attributed to deteriorating health condition among older adult following disability in later life stages and also due to the presence of chronic diseases, and multi-morbidity among them as life expectancy has substantially increased in last few decades. Data for the analysis was used from the National Sample Survey Organization conducted during the 71st (2014) and 75th round (2017-18). Descriptive statistics, bivariate analysis, and linear regression were used for the study. It was found that mean OOPE for older adults was high if the household head was an older adult in case of both men and women. Older adults from higher socio-economic status incurred high OOPE. Moreover, older adults who were financially independent incurred high OOPE compared to those who were partially or fully economically dependent. More interestingly, financially independent women incur higher OOPE than financially independent men. In most states, it was observed that mean OOPE was high for men compared to women, which depicts clear gender differentials. The findings of this study are significant and provide new information on discrepancies between older men and women in health-care spending. Older men were found to have slightly higher health care costs relative to women in this nationally representative survey, after adjusting for confounding factors. [ABSTRACT FROM AUTHOR]