IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0034799.html
   My bibliography  Save this article

Social Determinants of Self-Reported Health in Women and Men: Understanding the Role of Gender in Population Health

Author

Listed:
  • Ahmad Reza Hosseinpoor
  • Jennifer Stewart Williams
  • Avni Amin
  • Islene Araujo de Carvalho
  • John Beard
  • Ties Boerma
  • Paul Kowal
  • Nirmala Naidoo
  • Somnath Chatterji

Abstract

Background: Women and men share similar health challenges yet women report poorer health. The study investigates the social determinants of self-reported health in women and men, and male-female differences in health. Methods: Data on 103154 men and 125728 women were analysed from 57 countries in the World Health Survey 2002–2004. Item Response Theory was used to construct a composite measure of health. Associations between health and determinants were assessed using multivariate linear regression. Blinder-Oaxaca decomposition partitioned the inequality in health between women and men into an “explained" component that arises because men and women differ in social and economic characteristics, and an “unexplained" component due to the differential effects of these characteristics. Decomposition was repeated for 18 countries in the World Health Organization (WHO) African region and 19 countries in the WHO European region. Results: Women's health was significantly lower than men's. Health was associated with education, household economic status, employment, and marital status after controlling for age. In the pooled analysis decomposition showed that 30% of the inequality was “explained", of which almost 75% came from employment, education, marital status. The differential effects of being in paid employment increased the inequality. When countries in Africa and Europe were compared, the “explained" component (31% and 39% respectively) was largely attributed to the social determinants in the African countries and to women's longevity in the European countries. Being in paid employment had a greater positive effect on the health of males in both regions. Conclusions: Ways in which age and the social determinants contribute to the poorer health status of women compared with men varies between groups of countries. This study highlights the need for action to address social structures, institutional discrimination and harmful gender norms and roles that differently influence health with ageing.

Suggested Citation

  • Ahmad Reza Hosseinpoor & Jennifer Stewart Williams & Avni Amin & Islene Araujo de Carvalho & John Beard & Ties Boerma & Paul Kowal & Nirmala Naidoo & Somnath Chatterji, 2012. "Social Determinants of Self-Reported Health in Women and Men: Understanding the Role of Gender in Population Health," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-9, April.
    • Handle: RePEc:plo:pone00:0034799
    DOI: 10.1371/journal.pone.0034799
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0034799
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0034799&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0034799?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. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    3. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    4. Stewart Williams, Jennifer Anne, 2009. "Using non-linear decomposition to explain the discriminatory effects of male-female differentials in access to care: A cardiac rehabilitation case study," Social Science & Medicine, Elsevier, vol. 69(7), pages 1072-1079, October.
    5. World Bank, 2011. "World Development Report 2011 [Rapport sur le développement dans le monde 2011 : Conflits, sécurité et développement - Abrégé]," World Bank Publications - Books, The World Bank Group, number 4389, December.
    6. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    7. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    8. World Bank, 2012. "World Development Report 2012 [Rapport sur le développement dans le monde 2012]," World Bank Publications - Books, The World Bank Group, number 4391, December.
    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. Virginie Comblon & Karine Marazyan, 2017. "Labor Supply Responses to Chronic Illness in Senegal," Working Papers hal-04096137, HAL.
    2. Trevor Peckham & Noah Seixas & A. B. de Castro & Anjum Hajat, 2022. "Do Different Patterns of Employment Quality Contribute to Gender Health Inequities in the U.S.? A Cross-Sectional Mediation Analysis," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    3. Woohyun Yoo, 2022. "Addressing the Social Determinants of Health in South Korea: Moderating Role of mHealth Technologies," IJERPH, MDPI, vol. 19(3), pages 1-13, February.
    4. Violetta Rozani, 2022. "Ethnic Differences in Socioeconomic and Health Determinants Related to Self-Rated Health Status: A Study on Community-Dwelling Israeli Jews and Arabs in Old Age," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    5. Man Ping Wang & Xin Wang & Tai Hing Lam & Kasisomayajula Viswanath & Sophia S Chan, 2013. "Health Information Seeking Partially Mediated the Association between Socioeconomic Status and Self-Rated Health among Hong Kong Chinese," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    6. Sefa Awaworyi Churchill & Siew Ling Yew & Thi Minh Thu Nguyen, 2022. "Health status and housing tenure decisions of older Australians," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 966-989, December.
    7. M. Pilar Matud & M. Concepción García & Demelza Fortes, 2019. "Relevance of Gender and Social Support in Self-Rated Health and Life Satisfaction in Elderly Spanish People," IJERPH, MDPI, vol. 16(15), pages 1-15, July.
    8. Sefa Awaworyi Churchill & Russell Smyth & Trong-Anh Trinh, 2024. "The Long-Run Effects of Male-Biased Sex Ratios on Mateship and Social Capital," Monash Economics Working Papers 2024-02, Monash University, Department of Economics.
    9. Alba Llop-Gironés & Sam Jones, 2019. "Beyond access to basic services: Perspectives on the social determinants of health in Mozambique," WIDER Working Paper Series wp-2019-40, World Institute for Development Economic Research (UNU-WIDER).

    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. Kilic, Talip & Palacios-López, Amparo & Goldstein, Markus, 2015. "Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture," World Development, Elsevier, vol. 70(C), pages 416-463.
    2. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    3. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.
    4. Niels-Hugo Blunch, 2018. "Just like a woman? New comparative evidence on the gender income gap across Eastern Europe and Central Asia," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-41, December.
    5. Karen Mumford & Cristina Sechel, 2020. "Pay and Job Rank among Academic Economists in the UK: Is Gender Relevant?," British Journal of Industrial Relations, London School of Economics, vol. 58(1), pages 82-113, March.
    6. Elder, Todd E. & Goddeeris, John H. & Haider, Steven J., 2010. "Unexplained gaps and Oaxaca-Blinder decompositions," Labour Economics, Elsevier, vol. 17(1), pages 284-290, January.
    7. Somasree Poddar & Ishita Mukhopadhyay, 2019. "Gender Wage Gap: Some Recent Evidences from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 121-151, March.
    8. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    9. Babacar Sarr, 2016. "What Are the Drivers of Fiscal Performance Gaps between Anglophone and Francophone Africa? A Blinder–Oaxaca Decomposition," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 40-62, March.
    10. Dang, Rui, 2015. "Explaining the body mass index gaps between Turkish immigrants and Germans in West Germany 2002-2012: A decomposition analysis of socio-economic causes," Ruhr Economic Papers 580, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Shannon, Matthew, 2022. "The labour market outcomes of transgender individuals," Labour Economics, Elsevier, vol. 77(C).
    12. Niels-Hugo Blunch, 2015. "Bound to lose, bound to win? The financial crisis and the informal-formal sector earnings gap in Serbia," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    13. Blunch, Niels-Hugo & Datta Gupta, Nabanita, 2020. "Mothers’ health knowledge gap for children with diarrhea: A decomposition analysis across caste and religion in India," World Development, Elsevier, vol. 126(C).
    14. Rama Lionel Ngenzebuke, 2017. "The Returns of "I Do": Multifaceted Female Decision-making and Agricultural Yields in Tanzania," Working Papers ECARES ECARES 2017-05, ULB -- Universite Libre de Bruxelles.
    15. Niels-Hugo Blunch & Nabanita Datta Gupta, 2014. "Social Networks and Health Knowledge in India: Who You Know or Who You Are?," Economics Working Papers 2014-24, Department of Economics and Business Economics, Aarhus University.
    16. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    17. Castagnetti, Carolina & Rosti, Luisa & Töpfer, Marina, 2017. "The convergence of the gender pay gap: An alternative estimation approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences 14-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    18. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    19. Kehinde O. Omotoso & Steven F. Koch, 2017. "Gender Differentials in Health: A Differences-in-Decompositions Estimate," Working Papers 201717, University of Pretoria, Department of Economics.
    20. Petcu Ionela-Roxana, 2022. "The Role Of Education In Rural-Urban Wage Gap For Romania: A Blinder-Oaxaca Decomposition," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 216-224, August.

    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:pone00:0034799. 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.