Abstract
Self-rated health (SRH) is a crucial indicator of overall health status, functionality, and mortality among older adults. This study examines the socio-economic correlates of health outcomes among older adults aged 45-59 in India using data from the Longitudinal Ageing Study of India Wave-I. Descriptive analysis, bi-variate analysis, and multivariate logistic regression were performed to investigate the factors that best explain and predict SRH. The results show that age, gender, place of residence, education, marital status, religion, social category, living arrangements, work status, income, multimorbidity, functional limitations, nutritional status, and health behaviours are significant determinants of poor SRH. Multimorbidity and functional limitations were found to be the principal determinants of poor SRH. The likelihood of reporting poor SRH increases with age, being female, living in rural areas, having lower education, being unmarried, divorced, or widowed, belonging to disadvantaged social categories, living with a spouse or others, not currently working, having lower income, being underweight, and engaging in risky health behaviours. The findings highlight the need to strengthen healthcare services for older adults in India, considering the ongoing demographic transition and the substantial proportion of poor SRH in this age group. Addressing the needs of older adults aged 45-59 can help the nation benefit from the demographic dividend.
Keywords
References
- Bakshi, S., & Pathak, P. (2010). What makes them feel healthier? The correlates of self-perceived health among older adults in India [MPRA Paper]. https://mpra.ub.uni-muenchen.de/40541/Google Scholar β
- Brown, R. T., Diaz-Ramirez, L. G., Boscardin, W. J., Lee, S. J., & Steinman, M. A. (2017). Functional Impairment and Decline in Middle Age. Annals of Internal Medicine, 167(11), 761β768. https://doi.org/10.7326/M17-0496DOI βGoogle Scholar β
- Brown, V., Cataldo, J., Shaw, T., & Collins, S. (2019). Review of strategies to address social determinants of health and health disparities to improve health outcomes. Social Determinants of Health, 5(3), Article 3. https://doi.org/10.22037/sdh.v5i3.25413DOI βGoogle Scholar β
- Harrington, J., Perry, I. J., Lutomski, J., Fitzgerald, A. P., Shiely, F., McGee, H., Barry, M. M., Van Lente, E., Morgan, K., & Shelley, E. (2010). Living longer and feeling better: Healthy lifestyle, self-rated health, obesity and depression in Ireland. European Journal of Public Health, 20(1), 91β95. https://doi.org/10.1093/eurpub/ckp102DOI βGoogle Scholar β
- International Institute for Population Sciences (IIPS), National Programme for Health Care of Elderly (NPHCE), MoHFW, Harvard T. H. Chan School of Public Health (HSPH), & the University of Southern California (USC) 2020. (n.d.). Longitudinal Ageing Study in India (LASI) Wave 1, 2017-18, India Report. International Institute for Population Sciences, Mumbai. https:// www.iipsindia.ac.in/sites/default/files/LASI_India_ Report_2020_compressed.pdfGoogle Scholar β
- Kumar, S., & Pradhan, M. R. (2019). Self-rated health status and its correlates among the elderly in India. Journal of Public Health, 27(3), 291β299. https://doi.org/10.1007/s10389-018-0960-2DOI βGoogle Scholar β
- MachΓ³n, M., Vergara, I., Dorronsoro, M., Vrotsou, K., & LarraΓ±aga, I. (2016). Self-perceived health in functionally independent older people: Associated factors. BMC Geriatrics, 16(1), 66. https://doi.org/10.1186/s12877-016-0239-9DOI βGoogle Scholar β
- Mishra, R., Sharma, S. K., & Talukdar, B. (2018). Self-reported Health of Aged Population in India. Social Science Spectrum, 3(4), Article 4. https://www.socialspectrum.in/index.php/sp/article/view/113Google Scholar β
- Omran, A. R. (2005). The Epidemiologic Transition: A Theory of the Epidemiology of Population Change. The Milbank Quarterly, 83(4), 731. https://doi.org/10.1111/j.1468-0009.2005.00398.xDOI βGoogle Scholar β
- Pandey, A., & Ladusingh, L. (2015). Socioeconomic Correlates of Gender Differential in Poor Health Status Among Older Adults in India. Journal of Applied Gerontology, 34(7), 879β905. https://doi.org/10.1177/0733464813481850DOI βGoogle Scholar β
- Rajan, S. I., Mishra, U. S., & Sarma, P. S. (2001). Health concerns among Indiaβs elderly. International Journal of Aging & Human Development, 53(3), 181β194. https://doi.org/10.2190/19WH-50YR-QAKG-C8VRDOI βGoogle Scholar β
- Sen, A. (1993). Positional Objectivity. Philosophy & Public Affairs, 22(2), 126β145. https://www.jstor.org/stable/2265443Google Scholar β
- Sen, A. (1999). The Possibility of Social Choice. The American Economic Review, 89(3), 349β378. https://www.jstor.org/stable/117024Google Scholar β
- Sen, A. (2002). Health: Perception versus observation. BMJ : British Medical Journal, 324(7342), 860β861. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1122815/Google Scholar β
- Shields, M., & Shooshtari, S. (2001). Determinants of self-perceived health. Health Reports, 13(1), 35β52.Google Scholar β
- Sibthorpe, B., Anderson, I., & Cunningham, J. (2001). Self-Assessed Health Among Indigenous Australians: How Valid Is a Global Question? American Journal of Public Health, 91(10), 1660. https://doi.org/10.2105/ajph.91.10.1660DOI βGoogle Scholar β
- Singh, L., Arokiasamy, P., Singh, P. K., & Rai, R. K. (2013). Determinants of Gender Differences in Self-Rated Health Among Older Population: Evidence From India. Sage Open, 3(2), 2158244013487914. https://doi.org/10.1177/2158244013487914DOI βGoogle Scholar β
- Srivastava, S., Debnath, P., Shri, N., & Muhammad, T. (2021). The association of widowhood and living alone with depression among older adults in India. Scientific Reports, 11(1), 21641. https://doi.org/10.1038/s41598-021-01238-xDOI βGoogle Scholar β
- Tissue, T. (1972). Another look at self-rated health among the elderly. Journal of Gerontology, 27(1), 91β94. https://doi.org/10.1093/geronj/27.1.91DOI βGoogle Scholar β
- United Nations & Department of Economic and Social Affairs, Population Division (2019). (n.d.). Wolrd Population Prospect 2019. United Nations.Google Scholar β
