IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p4240-d786060.html
   My bibliography  Save this article

Self-Rated Health and Socioeconomic Status in Old Age: The Role of Gender and the Moderating Effect of Time and Welfare Regime in Europe

Author

Listed:
  • Aviad Tur-Sinai

    (Department of Health Systems Management, The Max Stern Yezreel Valley College, Yezreel Valley 1930600, Israel
    The Minerva Center on Intersectionality in Aging (MCIA), University of Haifa, Haifa 3498838, Israel)

  • Amira Paz

    (Healthy Aging, Tel-Aviv 6433222, Israel)

  • Israel Doron

    (The Minerva Center on Intersectionality in Aging (MCIA), University of Haifa, Haifa 3498838, Israel
    Department of Gerontology, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa 3498838, Israel)

Abstract

Research has shown that health status and self-rated health (SRH) are correlated not only with age and gender but also with socioeconomic determinants, such as income, education, and employment status, in the course of life and in late life. Much less investigated, however, are gender differences in the association between socioeconomic factors and SRH and how the connection differs among the European welfare state regimes. This study examines the association between SRH and socioeconomic status in later life and in relation to gender and welfare state regime characteristics. Using SHARE data, it builds an analytical sample of respondents aged 60–70 (1275 men, 1544 women) who participated in Wave 1 and, ten years later, in Wave 6. The analysis regresses SRH by gender on socioeconomic status, controlling for various sociodemographic, health, and socioeconomic variables, as well as welfare regime indicators, at two points in time. Past health variables are also controlled for in order to evaluate their effect on SRH at the time of the investigation. A significant gender gap in SRH is found from childhood to late life. The association of socioeconomic status with poorer SRH is significant over time and within welfare state regimes. Consequently, the relationship between gender and SRH, and the extent to which it varies by socioeconomic position, does appear to differ across welfare state regimes. In all regimes and all points in time, including retrospective childhood SRH, women report poorer health than men. The analysis underscores the association between SRH and socioeconomic status in relation to gender in late life and finds that it correlates differently for men and women. The odds of women experiencing poorer SRH are higher, although they become more moderate over time. Even under the most egalitarian welfare regimes, gender differences in the nexus of SRH and socioeconomic status do not favor women.

Suggested Citation

  • Aviad Tur-Sinai & Amira Paz & Israel Doron, 2022. "Self-Rated Health and Socioeconomic Status in Old Age: The Role of Gender and the Moderating Effect of Time and Welfare Regime in Europe," Sustainability, MDPI, vol. 14(7), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4240-:d:786060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/4240/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/7/4240/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rudolf Cesaretti & José Lobo & Luís M A Bettencourt & Scott G Ortman & Michael E Smith, 2016. "Population-Area Relationship for Medieval European Cities," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-27, October.
    2. van Kippersluis, Hans & O'Donnell, Owen & van Doorslaer, Eddy & Van Ourti, Tom, 2010. "Socioeconomic differences in health over the life cycle in an Egalitarian country," Social Science & Medicine, Elsevier, vol. 70(3), pages 428-438, February.
    3. Dwyer, Debra Sabatini & Mitchell, Olivia S., 1999. "Health problems as determinants of retirement: Are self-rated measures endogenous?," Journal of Health Economics, Elsevier, vol. 18(2), pages 173-193, April.
    4. F. Thomas Juster & Richard Suzman, 1995. "An Overview of the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 7-56.
    5. Anson, Ofra & Paran, Esther & Neumann, Lily & Chernichovsky, Dov, 1993. "Gender differences in health perceptions and their predictors," Social Science & Medicine, Elsevier, vol. 36(4), pages 419-427, February.
    6. Macintyre, Sally & Hunt, Kate & Sweeting, Helen, 1996. "Gender differences in health: Are things really as simple as they seem?," Social Science & Medicine, Elsevier, vol. 42(4), pages 617-624, February.
    7. Deaton, Angus S & Paxson, Christina H, 1998. "Aging and Inequality in Income and Health," American Economic Review, American Economic Association, vol. 88(2), pages 248-253, May.
    8. Teresa Leão & Inês Campos-Matos & Clare Bambra & Giuliano Russo & Julian Perelman, 2018. "Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    9. Esping-Andersen, Gosta, 1999. "Social Foundations of Postindustrial Economies," OUP Catalogue, Oxford University Press, number 9780198742005.
    10. Ina Ganguli & Ricardo Hausmann & Martina Viarengo, 2021. "Gender Differences in Professional Career Dynamics: New Evidence from a Global Law Firm," Economica, London School of Economics and Political Science, vol. 88(349), pages 105-128, January.
    11. Arber, Sara & Cooper, Helen, 1999. "Gender differences in health in later life: the new paradox?," Social Science & Medicine, Elsevier, vol. 48(1), pages 61-76, January.
    12. James Smith & Raynard Kington, 1997. "Demographic and economic correlates of health in old age," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 159-170, February.
    13. Franks, Peter & Gold, Marthe R. & Fiscella, Kevin, 2003. "Sociodemographics, self-rated health, and mortality in the US," Social Science & Medicine, Elsevier, vol. 56(12), pages 2505-2514, June.
    14. Eikemo, Terje Andreas & Bambra, Clare & Judge, Ken & Ringdal, Kristen, 2008. "Welfare state regimes and differences in self-perceived health in Europe: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 66(11), pages 2281-2295, June.
    15. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jajko-Siwek Alicja, 2024. "Unveiling financial well-being: Insights from retired people in Third Age group in Poland, Spain and Denmark," Economics and Business Review, Sciendo, vol. 10(3), pages 7-33.

    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. Patricia Gómez-Costilla & Carmen García-Prieto & Noelia Somarriba-Arechavala, 2022. "Aging and Gender Health Gap: A Multilevel Analysis for 17 European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 1051-1069, April.
    2. Danan Gu & Yi Zeng, 2004. "Sociodemographic Effects on the Onset and Recovery of ADL Disability among Chinese Oldest-old," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(1), pages 1-42.
    3. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    4. Nicholas Kofi Adjei & Tilman Brand & Hajo Zeeb, 2017. "Gender inequality in self-reported health among the elderly in contemporary welfare countries: A cross-country analysis of time use activities, socioeconomic positions and family characteristics," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-24, September.
    5. Anna Zajacova & Jennifer Karas Montez & Pamela Herd, 2014. "Socioeconomic Disparities in Health Among Older Adults and the Implications for the Retirement Age Debate: A Brief Report," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(6), pages 973-978.
    6. Cheng, Terence C. & Kim, Seonghoon & Petrie, Dennis, 2024. "Health shocks, health and labor market dynamics, and the socioeconomic-health gradient in older Singaporeans," Social Science & Medicine, Elsevier, vol. 348(C).
    7. Sandra L. Decker & Dahlia K. Remler, 2004. "How Much Might Universal Health Insurance Reduce Socioeconomic Disparities in Health? A Comparison of the US and Canada," NBER Working Papers 10715, National Bureau of Economic Research, Inc.
    8. Orfila, Francesc & Ferrer, Montserrat & Lamarca, Rosa & Tebe, Cristian & Domingo-Salvany, Antonia & Alonso, Jordi, 2006. "Gender differences in health-related quality of life among the elderly: The role of objective functional capacity and chronic conditions," Social Science & Medicine, Elsevier, vol. 63(9), pages 2367-2380, November.
    9. 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.
    10. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.
    11. Axel Börsch-Supan & Tabea Bucher-Koenen & Felizia Hanemann, 2018. "Early Determinants of Work Disability in an International Perspective," NBER Working Papers 25142, National Bureau of Economic Research, Inc.
    12. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    13. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers, disability and health care demand," Economics & Human Biology, Elsevier, vol. 39(C).
    14. Matthias Pannhorst & Florian Dost, 2022. "A Life-Course View on Ageing Consumers: Old-Age Trajectories and Gender Differences," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 1157-1180, April.
    15. Thomas Leoni, 2019. "Fehlzeitenreport 2019. Krankheits- und unfallbedingte Fehlzeiten in Österreich – Die flexible Arbeitswelt: Arbeitszeit und Gesundheit," WIFO Studies, WIFO, number 62103.
    16. Prus, Steven G., 2011. "Comparing social determinants of self-rated health across the United States and Canada," Social Science & Medicine, Elsevier, vol. 73(1), pages 50-59, July.
    17. Lixin Cai & Guyonne Kalb, 2004. "Health Status and Labour Force Participation: Evidence from the HILDA Data," Melbourne Institute Working Paper Series wp2004n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    18. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "The socioeconomic health gradient across the life cycle: What role for selective mortality and institutionalization?," Social Science & Medicine, Elsevier, vol. 97(C), pages 66-74.
    19. Needham, Belinda & Hill, Terrence D., 2010. "Do gender differences in mental health contribute to gender differences in physical health?," Social Science & Medicine, Elsevier, vol. 71(8), pages 1472-1479, October.
    20. Timothy J. Halliday & Bhashkar Mazumder & Ashley Wong, 2020. "The intergenerational transmission of health in the United States: A latent variables analysis," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 367-381, March.

    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:gam:jsusta:v:14:y:2022:i:7:p:4240-:d:786060. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.