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Applications of new measures of population ageing using quantity and quality of remaining life years to India and selected states

Published online by Cambridge University Press:  12 October 2022

Sampurna Kundu Open the ORCID record for Sampurna Kundu [Opens in a new window]  and
Preeti Dhillon Open the ORCID record for Preeti Dhillon [Opens in a new window]
Sampurna Kundu
Affiliation:
PhD scholar, Centre of Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India
Preeti Dhillon*
Affiliation:
Assistant Professor, Department of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India
*
*Corresponding author. Email: pdhillon.iips@gmail.com
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Abstract

In the latter part of the third stage, India is in demographic transition with declining fertility and mortality. This marked decline in death rates is driven by improvements in health conditions due to medical progress and better living conditions. The conventional measures of ageing do not account for the significant improvements in health and life expectancy, thus leading to a tendency to overestimate the impact of population ageing when these indicators are used. The old-age threshold in the conventional measures of ageing depends on chronological age. The present study estimated the multi-dimensional old-age thresholds (MOAT) based on the remaining life expectancy (RLE), self-rated health, activities of daily living (ADL), handgrip strength, and cognition in India and selected states. The standard population was derived for each dimension for 50 and over in states using the WHO Study on Global AGEing and Adult Health data. Keeping the dimensional characteristics as of the standard population, the estimated MOAT for India was 67 years where Maharashtra stands at the top (68.6), followed by, West Bengal (66.5) and Karnataka (66). A 64 year old woman was similar to 68.8 year old man, and a 66 year old rural person was equivalent to 68 year old urban person. The study suggests implications of MOATs on reducing the burden of ageing and increment in retirement age.

Keywords

old-age thresholdsprospective agehealthy ageing
Type
Research Article
Information
Journal of Biosocial Science , Volume 55 , Issue 4 , July 2023 , pp. 608 - 626
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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