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Comparing inequalities in women's and men's health: Britain in the 1990s

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  • Arber, Sara

Abstract

Data on over 20,000 women and men aged 20-59 are analysed from the British General Household Survey for 1991 and 1992, showing the importance of separately analysing educational qualifications, occupational class and employment status for both women and men. Own occupational class and employment status are the key structural factors associated with limiting long-standing illness, but educational qualifications are particularly good predictors of women's self-assessed health. Class inequalities in health are less pronounced among women who are not in paid work. Women's limiting long-standing illness relates solely to their own labour market characteristics, whereas self-assessed health relates to wider aspects of women's everyday lives, including their household material conditions, and for married women, their partner's occupational class and employment status. Men's unemployment has adverse consequences for the health of their wives, which occurs through the mechanism of the family living in disadvantaged material circumstances. Women's labour market position and role in the family have undergone substantial changes since the 1970s. Approaches to measuring inequalities in women's health need to reflect changes in women's employment participation and changes in marital status and living arrangements.

Suggested Citation

  • Arber, Sara, 1997. "Comparing inequalities in women's and men's health: Britain in the 1990s," Social Science & Medicine, Elsevier, vol. 44(6), pages 773-787, March.
  • Handle: RePEc:eee:socmed:v:44:y:1997:i:6:p:773-787
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    Cited by:

    1. García-Calvente, Mar & Marcos-Marcos, Jorge & del Río-Lozano, María & Hidalgo-Ruzzante, Natalia & Maroto-Navarro, Gracia, 2012. "Embedded gender and social changes underpinning inequalities in health: An ethnographic insight into a local Spanish context," Social Science & Medicine, Elsevier, vol. 75(12), pages 2225-2232.
    2. Hämmig, Oliver & Gutzwiller, Felix & Kawachi, Ichiro, 2014. "The contribution of lifestyle and work factors to social inequalities in self-rated health among the employed population in Switzerland," Social Science & Medicine, Elsevier, vol. 121(C), pages 74-84.
    3. Boyle, Paul J. & Norman, Paul & Popham, Frank, 2009. "Social mobility: Evidence that it can widen health inequalities," Social Science & Medicine, Elsevier, vol. 68(10), pages 1835-1842, May.
    4. Charasse-Pouélé, Cécile & Fournier, Martin, 2006. "Health disparities between racial groups in South Africa: A decomposition analysis," Social Science & Medicine, Elsevier, vol. 62(11), pages 2897-2914, June.
    5. Roos, Eva & Burström, Bo & Saastamoinen, Peppiina & Lahelma, Eero, 2005. "A comparative study of the patterning of women's health by family status and employment status in Finland and Sweden," Social Science & Medicine, Elsevier, vol. 60(11), pages 2443-2451, June.
    6. Sperlich, Stefanie & Geyer, Siegfried, 2015. "The mediating effect of effort-reward imbalance in household and family work on the relationship between education and women's health," Social Science & Medicine, Elsevier, vol. 131(C), pages 58-65.
    7. Zajacova, Anna, 2006. "Education, gender, and mortality: Does schooling have the same effect on mortality for men and women in the US?," Social Science & Medicine, Elsevier, vol. 63(8), pages 2176-2190, October.
    8. Joana Cima & Paulo Guimarães & Álvaro Almeida, 2018. "Explaining the gender gap in waiting times for scheduled surgery in the Portuguese National Health Service," FEP Working Papers 607, Universidade do Porto, Faculdade de Economia do Porto.
    9. Skalická, Vera & Kunst, Anton E., 2008. "Effects of spouses' socioeconomic characteristics on mortality among men and women in a Norwegian longitudinal study," Social Science & Medicine, Elsevier, vol. 66(9), pages 2035-2047, May.
    10. Kim, Il-Ho & Muntaner, Carles & Khang, Young-Ho & Paek, Domyung & Cho, Sung-Il, 2006. "The relationship between nonstandard working and mental health in a representative sample of the South Korean population," Social Science & Medicine, Elsevier, vol. 63(3), pages 566-574, August.

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