An Aging India

Liebig, Phoebe S.; Rajan, S. Irudaya

doi:10.4324/9781315870182

Cited by 6 publications

(4 citation statements)

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“…In the Indian context, much of the policy and conceptual work in Social Gerontology has centered on understanding older adults through the lens of frailty and dependence (Alam, 2004), or through the challenges of care in old-age homes (Lamb, 2016;Paul & Asirvatham, 2016) or abuse and neglect (Liebig & Rajan, 2013). Furthermore, owing to size and structure of India's population, India policy makers are continuously troubled.…”

Section: Discussionmentioning

confidence: 99%

Third Agers in India: Empirical Evidence From Longitudinal Aging Study in India (LASI), 2017–2018

Tripathi,

Samanta

2023

J Appl Gerontol

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Given that the ontological origins of the Third Age lie in the cultural logics of social class, consumer society and “habitus,” a majority of its gerontological examination is qualitative in nature. We utilize the recently released Longitudinal Aging Study in India (2017–2018) and harness the time-use module to offer an empirical portrait of Third Agers in India. Considering that the aging scholarship in India has been often articulated in the empirical language of dependency, care regimes, and (economic) insecurity, we believe this examination allows us to shift the gerontological gaze from a risk perspective to one that is positive and affirmative. Following an exploratory factor analysis and nested linear regression, we corroborate the emergence of a “silver market” where educated, urban, affluent, and professionally qualified older Indians are the ones who are more likely to engage in active leisure pursuits. Noteworthy is the combined effects of wealth and professional education in determining who is ultimately able to “purchase” leisure in a highly segmented emerging senior market. In all, we conclude by discussing how these findings upend our cultural imagination around growing old in contemporary India.

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Section: Discussionmentioning

confidence: 99%

Third Agers in India: Empirical Evidence From Longitudinal Aging Study in India (LASI), 2017–2018

Tripathi,

Samanta

2023

J Appl Gerontol

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“…The old age dependency ratio (population share age 65+ over population share 20 to 64) increased from 7.9 percent in 1990 to 11.7 percent in 2022 and is predicted to increase further to 22.5 percent in 2050 [1]. Several scholars have discussed the potential economic, social, and health challenges caused by India's population aging [2,3]. Most of these challenges, however, do not directly follow from the chronological aging of individuals but from their physiological aging, understood as the "intrinsic, cumulative, progressive, and deleterious loss of function that eventually culminates in death" [4].…”

Section: Introductionmentioning

confidence: 99%

Physiological aging in India: The role of the epidemiological transition

Krenz

Strulik

2023

PLoS ONE

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We construct a cohort-based frailty index from age-related health deficits to investigate physiological aging in India over the period 1990-2019. During this period, the Indian states underwent at different speeds the epidemiological transition and experienced unprecedented economic growth. We show that the rate of physiological aging remained remarkably stable to the changing environment. Age-related health deficits increased by about 3 percent per year of age with little variation across states, ages, cohorts, and over time. We find that, with advancing epidemiological transition, health deficits for given age declined at the individual level (within states and within cohorts). Across cohorts born between 1900 and 1995, we show that, for given age, health deficits are higher for later-born cohorts until birth years around 1940 and remained trendless afterwards. We propose a selection-based theory of aging during the epidemiological transition that explains these facts.

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“…Our literature review reveals that research on ageing in India have estimated the absolute and relative burden of ageing using either the percentage ageing (60 or 65+) or the standard OADR. Generally, researchers in this field have focused on negative implications of ageing, such as low labor participation and excessive social expenditure (Liebig and Rajan 2003;Bloom, Canning and Fink 2010;Wolf et al 2011;Dey et al 2012). However, the elderly may be frail and incapable of physical labour, that does not mean they are unproductive.…”

Section: Introductionmentioning

confidence: 99%

Aging in India: Comparison of Conventional and Prospective Measures, 2011

Srivastava¹,

Saikia

2022

Preprint

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Conventional measurements of aging do not take into account the dynamic nature of aging related characteristics over time. Therefore, in order to refine the estimates of aging, demographers have proposed prospective measures based on remaining life expectancy, Sanderson and Scherbov (2007). We compared these new measures with conventional aging measures using the data from the Census of India 2011 and Sample Registration System life tables 2009 to 2013. In conventional aging measures, we used life expectancy at age 60 and the old age dependency ratio (OADR), whereas for new measures of aging, we applied the threshold of old age based on the remaining life expectancy and prospective old age dependency ratio (POADR). Both measures of aging provided different estimates of the aging population at the national and subnational levels. At national level, application of prospective measures increased the number of older dependents from 66.4 million to 71.8 million (OADR: 8.6% vs. POADR: 10.6%). We observed profound variation at subnational level in India. We also observed that the prospective ageing measures not only provided higher estimates of ageing burden in India, but also altered the gender and rural urban differential in ageing. Considering the heterogeneity of life expectancies across Indian states, prospective measures provide more accurate refined estimates of aging burden in India as they are based on length of life expectancy. Application of these measures has great policy relevance in India.

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An Aging India

Cited by 6 publications

References 0 publications

Third Agers in India: Empirical Evidence From Longitudinal Aging Study in India (LASI), 2017–2018

Third Agers in India: Empirical Evidence From Longitudinal Aging Study in India (LASI), 2017–2018

Physiological aging in India: The role of the epidemiological transition

Aging in India: Comparison of Conventional and Prospective Measures, 2011

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