IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0284321.html
   My bibliography  Save this article

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

Author

Listed:
  • Saddaf Naaz Akhtar
  • Nandita Saikia
  • T Muhammad

Abstract

Introduction: The self-rated health (SRH) is a widely adopted indicator of overall health. The sponge hypothesis suggests that predictive power of SRH is stronger among women compared to men. To gain a better understanding of how gender influences SRH, this study examined whether and what determinants of gender disparity exist current self-rated health (SRHcurrent) and change in SRH (SRHchange) among older adults in Indian setting. Materials and methods: We used cross-sectional data from the 75th National Sample Survey Organizations (NSSO), collected from July 2017 to June 2018. The analytical sample constitutes 42,759 older individuals aged 60 years or older with 21,902 older men and 20,857 older women (eliminating two non-binary individuals). Outcome measures include two variables of poor/worse SRH status (SRHcurrent and SRHchange). We have calculated absolute gaps in the prevalence of poor SRHcurrent and worse SRHchange by background characteristics. We carried out binary logistic regression models to examine the predictors of poor SRHcurrent and worse SRHchange among older adults. Results: The overall absolute gender gap in poor SRHcurrent was 3.27% and it was 0.58% in worse SRHchange. Older women had significantly higher odds of poor SRHcurrent [AOR = 1.09; CI = 0.99, 1.19] and worse SRHchange [AOR = 1.09; CI = 1.02, 1.16] compared to older men. Older adults belonging to middle-aged, oldest-old, economically dependent, not working, physically immobile, suffering from chronic diseases, belonging to Muslim religion, and Eastern region have found to have higher odds of poor SRHcurrent and worse SRHchange. Educational attainments showed lower odds of have poor SRHcurrent and worse SRHchange compared to those with no education. Respondents belonging to richest income quintile and those who were not covered by any health insurance, belonging to Schedule caste, OBC, Western and Southern regions are found to have lower odds of poor SRHcurrent and worse SRHchange. Compared to those in the urban residence, respondents from rural residence [AOR = 1.09; CI = 1.02, 1.16] had higher odds of worse SRHchange. Conclusions: Supporting the sponge hypothesis, a clear gender gap was observed in poor current SRH and worse change in SRH among older adults in India with a female disadvantage. We further found lower socioeconomic and health conditions and lack of resources as determinants of poor current SRH and its worse change, which is crucial to address the challenge of the older people’s health and their perception of well-being.

Suggested Citation

  • Saddaf Naaz Akhtar & Nandita Saikia & T Muhammad, 2023. "Self-rated health among older adults in India: Gender specific findings from National Sample Survey," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-18, April.
  • Handle: RePEc:plo:pone00:0284321
    DOI: 10.1371/journal.pone.0284321
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284321
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284321&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0284321?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jylhä, Marja, 2009. "What is self-rated health and why does it predict mortality? Towards a unified conceptual model," Social Science & Medicine, Elsevier, vol. 69(3), pages 307-316, August.
    2. Pascaline Dupas & Radhika Jain, 2024. "Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India," American Economic Review, American Economic Association, vol. 114(10), pages 3345-3385, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yosuke Kasai & Etsuji Suzuki & Toshihide Iwase & Hiroyuki Doi & Soshi Takao, 2013. "Type D Personality Is Associated with Psychological Distress and Poor Self-Rated Health among the Elderly: A Population-Based Study in Japan," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-7, October.
    2. Xi Pan & Rose Ward, 2015. "Self-management and Self-rated Health Among Middle-aged and Older Adults with Type 2 Diabetes in China: A Structural Equation Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 247-260, January.
    3. Jane K L Teh & Nai Peng Tey & Sor Tho Ng, 2014. "Ethnic and Gender Differentials in Non-Communicable Diseases and Self-Rated Health in Malaysia," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    4. Zheng Xie & Adrienne N Poon & Zhijun Wu & Weiyan Jian & Kit Yee Chan, 2015. "Is Occupation a Good Predictor of Self-Rated Health in China?," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    5. Ilias‐Ioannis Kyriopoulos & Dimitris Zavras & Antonis Charonis & Kostas Athanasakis & Elpida Pavi & John Kyriopoulos, 2016. "Indebtedness, Socioeconomic Status, and Self‐Rated Health: Empirical Evidence From Greece," Poverty & Public Policy, John Wiley & Sons, vol. 8(4), pages 387-397, December.
    6. repec:plo:pone00:0213427 is not listed on IDEAS
    7. Amelie F. Constant & Teresa García-Muñoz & Shoshana Neuman & Tzahi Neuman, 2018. "A “healthy immigrant effect” or a “sick immigrant effect”? Selection and policies matter," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(1), pages 103-121, January.
    8. Bhattacharya, Titir & Chakraborty, Tanika & Mukherjee, Anirban, 2024. "Demand for Health Insurance: Financial and Informational role of Informal Networks," SocArXiv 2mq5v, Center for Open Science.
    9. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
    10. Paolo Brunori & Alain Trannoy & Caterina Francesca Guidi, 2021. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 358-383, February.
    11. Della Sara & Lucchini Mario, 2015. "Modelling social inequalities in health in contemporary Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 39-50, January.
    12. Anaka Aiyar & Naveen Sunder, 2024. "Health insurance and child mortality: Evidence from India," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 870-893, May.
    13. Miething, Alexander, 2013. "A matter of perception: Exploring the role of income satisfaction in the income–mortality relationship in German survey data 1995–2010," Social Science & Medicine, Elsevier, vol. 99(C), pages 72-79.
    14. Gunasekara, Fiona Imlach & Carter, Kristie & Blakely, Tony, 2012. "Comparing self-rated health and self-assessed change in health in a longitudinal survey: Which is more valid?," Social Science & Medicine, Elsevier, vol. 74(7), pages 1117-1124.
    15. Antonova, Liudmila & Bucher-Koenen, Tabea & Mazzonna, Fabrizio, 2017. "Long-term health consequences of recessions during working years," Social Science & Medicine, Elsevier, vol. 187(C), pages 134-143.
    16. Jeong Ha (Steph) Choi & Daniel H Jung, 2023. "The moderating role of neighborhood disadvantage on the link between functional limitations and self-rated health," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-12, April.
    17. Julia Grasshoff & Batoul Safieddine & Stefanie Sperlich & Johannes Beller, 2024. "Gender inequalities of psychosomatic complaints at work vary by occupational groups of white- and blue-collar and level of skill: A cross sectional study," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-13, July.
    18. Fubaihui Wang & Qingkai Zhen & Kaigang Li & Xu Wen, 2018. "Association of socioeconomic status and health-related behavior with elderly health in China," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
    19. Dana Hamplová & Jan Klusáček & Tomáš Mráček, 2022. "Assessment of self-rated health: The relative importance of physiological, mental, and socioeconomic factors," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
    20. Carmen Padilla-Moledo & Jorge DR Fernández-Santos & Rocio Izquierdo-Gómez & Irene Esteban-Cornejo & Paula Rio-Cozar & Ana Carbonell-Baeza & Jose Castro-Piñero, 2020. "Physical Fitness and Self-Rated Health in Children and Adolescents: Cross-Sectional and Longitudinal Study," IJERPH, MDPI, vol. 17(7), pages 1-15, April.
    21. Mithen, Johanna & Aitken, Zoe & Ziersch, Anne & Kavanagh, Anne M., 2015. "Inequalities in social capital and health between people with and without disabilities," Social Science & Medicine, Elsevier, vol. 126(C), pages 26-35.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0284321. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.