Inequalities in Mortality in the Asia-Pacific: A Cross-National Comparison of Socioeconomic Gradients
- PMID: 38195098
- PMCID: PMC10948962
- DOI: 10.1093/geronb/gbad193
Inequalities in Mortality in the Asia-Pacific: A Cross-National Comparison of Socioeconomic Gradients
Abstract
Objectives: Social inequalities in mortality are poorly studied in much of the Asia-Pacific. Using data from harmonized nationally representative longitudinal health and aging surveys our study systematically assesses mortality disparities across 3 standardized measures of socioeconomic status in 7 Asia-Pacific countries.
Methods: We used data from multiple waves of 7 representative sample surveys: the Health, Income and Labour Dynamics in Australia survey, China Health and Retirement Longitudinal Study, the Indonesian Family Life Survey, the New Zealand Health, Work and Retirement survey, the Korean Longitudinal Study on Ageing and the Health, Aging and Retirement in Thailand survey, and the Japanese Study of Aging and Retirement. We use Cox proportional hazards modeling to examine how the hazard of mortality differs across domains of social stratification including educational attainment, wealth, and occupational status across countries.
Results: We found consistent and pervasive gradients in mortality risk in the high-income countries by all available measures of social stratification. In contrast, patterns of inequality in adult mortality in middle-income and recently transitioned high-income countries investigated varied depending on the measure of social stratification, with strong gradients by wealth but mixed gradients by education.
Discussion: Analyzing social gradients in mortality in the Asia-Pacific shows that inequalities, especially wealth-based inequalities, in later-life health are present across the region, and that the magnitude of social gradients in mortality is overall larger in high-income countries as compared to middle-income countries.
Keywords: Asia-Pacific; Cross-national comparison; Mortality; Social inequality; Socioeconomic status.
© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America.
Conflict of interest statement
None.
Similar articles
-
Wealth-related inequalities in self-reported health status in the United States and 14 high-income countries.Health Serv Res. 2024 Dec;59(6):e14366. doi: 10.1111/1475-6773.14366. Epub 2024 Jul 26. Health Serv Res. 2024. PMID: 39054864 Free PMC article.
-
Socioeconomic hierarchy and health gradient in Europe: the role of income inequality and of social origins.Int J Equity Health. 2015 Nov 14;14:132. doi: 10.1186/s12939-015-0263-y. Int J Equity Health. 2015. PMID: 26572618 Free PMC article.
-
National-Level Wealth Inequality and Socioeconomic Inequality in Adolescent Mental Well-Being: A Time Series Analysis of 17 Countries.J Adolesc Health. 2020 Jun;66(6S):S21-S28. doi: 10.1016/j.jadohealth.2020.03.009. J Adolesc Health. 2020. PMID: 32446605
-
Health inequalities in a middle-income country: a systematic review of the Costa Rican case.Front Public Health. 2024 Aug 21;12:1397576. doi: 10.3389/fpubh.2024.1397576. eCollection 2024. Front Public Health. 2024. PMID: 39234081 Free PMC article.
-
Macro-level determinants of post-retirement health and health inequalities: A multilevel analysis of 18 European countries.Soc Sci Med. 2020 Jan;245:112669. doi: 10.1016/j.socscimed.2019.112669. Epub 2019 Nov 11. Soc Sci Med. 2020. PMID: 31739142 Review.
Cited by
-
Valuation of health losses among Japanese workers with children during the COVID-19 pandemic.BMC Health Serv Res. 2025 Aug 8;25(1):1045. doi: 10.1186/s12913-025-13183-w. BMC Health Serv Res. 2025. PMID: 40781314 Free PMC article.
References
-
- Ahmed, S. M., Hadi, A., Razzaque, A., Ashraf, A., Juvekar, S., Ng, N., Kanungsukkasem, U., Soonthornthada, K., Van Minh, H., & Huu Bich, T. (2009). Clustering of chronic non-communicable disease risk factors among selected Asian populations: Levels and determinants. Global Health Action, 2, 2. 10.3402/gha.v2i0.1986 - DOI - PMC - PubMed
-
- Chandola, T., Clarke, P., Morris, J. N., & Blane, D. (2006). Pathways between education and health: A causal modelling approach. Journal of the Royal Statistical Society Series A: Statistics in Society, 169(2), 337–359. 10.1111/j.1467-985x.2006.00411.x - DOI
-
- Christensen, U., Krølner, R., Nilsson, C. J., Lyngbye, P. W., Hougaard, C., Nygaard, E., Thielen, K., Holstein, B. E., Avlund, K., & Lund, R. (2014). Addressing social inequality in aging by the Danish occupational social class measurement. Journal of Aging and Health, 26(1), 106–127. 10.1177/0898264314522894 - DOI - PubMed
-
- Cutler, D. M., & Lleras-Muney, A. (2012). Education and health: Insights from international comparisons (Working Paper No. 17738). National Bureau of Economic Research. 10.3386/w17738 - DOI
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical