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Sex disparities in health of older adults in India: assessing the morbidity-mortality paradox through disability-free life expectancy.

作者信息

Karun Sadanand, McDougal Lotus, Singh Abhishek

机构信息

International Institute for Population Sciences, Mumbai, India.

Center On Gender Equity and Health, University of California San Diego, La Jolla, USA.

出版信息

Genus. 2025;81(1):11. doi: 10.1186/s41118-025-00247-2. Epub 2025 May 13.


DOI:10.1186/s41118-025-00247-2
PMID:40376114
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12075278/
Abstract

BACKGROUND: Older adults face substantial sex gaps in health. In many contexts, females live longer than males, but their time spent with disability is also higher. Our study assesses (i) the sex gap (female-male) in health through life expectancy and healthy life expectancy and (ii) the morbidity-mortality paradox among older adults aged 60 and above in India and its states. METHODS: We utilized data on age-specific death rates obtained from the Sample Registration System and age-specific disability prevalence from the Longitudinal Ageing Survey (LASI) in India. We estimated abridged life tables between age groups 60-64 to 85 + using Greville's method. We then combined the disability data obtained from LASI with the constructed life tables using Sullivan's method to estimate disability-free life expectancy (DFLE) and life expectancy with disability (DLE). Finally, we decomposed the sex gap in DFLE and DLE into mortality and disability components using a stepwise replacement decomposition method. RESULTS: At the national level, life expectancy at age 60 for males were 17.4 years and for females 19.2 years, indicating a female mortality advantage of 1.8 years. At the state level, the sex gap ranged between 5.1 years in Jammu & Kashmir and -1.1 years in Jharkhand. The disability prevalence was higher among females compared to males at the national level and in all states. The decomposition result indicates that 98% of the mortality advantage of females at the national level was spent in disability. The disability disadvantage of females over their mortality advantage was highest in Uttar Pradesh; 93% of additional years of life were spent with disability. The disability disadvantage of females over their mortality advantage was lowest in Rajasthan where only 9% of additional years were spent in disability. Stepwise replacement decomposition of the sex gap in DFLE by age groups shows that as age increases, the contribution of mortality effects decreases, whereas disability effects increase. CONCLUSIONS: We find evidence of a morbidity-mortality paradox in India nationally and sub-nationally. As the sex gap in health and its implications vary across the states of India, policies to address these inequities must also vary across the states. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41118-025-00247-2.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/5018153b837b/41118_2025_247_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/ea748c942255/41118_2025_247_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/b95cd83823f3/41118_2025_247_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/e3f4629cb7cb/41118_2025_247_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/dfe6ef5451b8/41118_2025_247_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/7f2ca1f39791/41118_2025_247_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/5018153b837b/41118_2025_247_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/ea748c942255/41118_2025_247_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/b95cd83823f3/41118_2025_247_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/e3f4629cb7cb/41118_2025_247_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/dfe6ef5451b8/41118_2025_247_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/7f2ca1f39791/41118_2025_247_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fbe/12075278/5018153b837b/41118_2025_247_Fig6_HTML.jpg

相似文献

[1]
Sex disparities in health of older adults in India: assessing the morbidity-mortality paradox through disability-free life expectancy.

Genus. 2025

[2]
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[3]
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[5]
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[6]
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[7]
On the Estimation of Disability-Free Life Expectancy: Sullivan' Method and Its Extension.

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[8]
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[9]
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[10]
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本文引用的文献

[1]
Differences across the lifespan between females and males in the top 20 causes of disease burden globally: a systematic analysis of the Global Burden of Disease Study 2021.

Lancet Public Health. 2024-5

[2]
A study about the impact of indoor air pollution on cognitive function among middle-aged and older adult people in India.

Arch Public Health. 2024-4-25

[3]
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.

Lancet. 2024-5-18

[4]
Impact of indoor air pollution from cooking fuel usage and practices on self-reported health among older adults in India: Evidence from LASI.

SSM Popul Health. 2024-3-6

[5]
Exposure to indoor air pollution and angina among aging adults in India: evidence from a large-scale nationwide study.

Int J Environ Health Res. 2024-10

[6]
Depression by gender and associated factors among older adults in India: implications for age-friendly policies.

Sci Rep. 2023-10-17

[7]
Longitudinal Aging Study in India (LASI): new data resources for addressing aging in India.

Nat Aging. 2021-12

[8]
Self-rated health among older adults in India: Gender specific findings from National Sample Survey.

PLoS One. 2023

[9]
Sex differences in non-communicable disease multimorbidity among adults aged 45 years or older in India.

BMJ Open. 2023-3-27

[10]
Gender differences in premature mortality for cardiovascular disease in India, 2017-18.

BMC Public Health. 2023-3-23

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