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Gender differences in the association between morbidity and mortality among middle-aged men and women

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Listed:
  • Singh-Manoux, A.
  • Guéguen, A.
  • Ferrie, J.
  • Shipley, M.
  • Martikainen, P.
  • Bonenfant, S.
  • Goldberg, M.
  • Marmot, M.

Abstract

Objectives. We examined gender differences inmortality,morbidity, and the association between the 2. Methods. We used health data from 2 studies of middle-agedmen and women: the British Whitehall II cohort of employees from 20 civil service departments in London and the 1989 French GAZEL (this acronym refers to the French gas and electric companies) of employees of France's national gas and electricity company. Participants were aged 35 to 55 years when assessed for morbidity and followed up for mortality over 17 years. Results. Male mortality was higher than female mortality in Whitehall II (hazard ratio [HR]=1.56; 95% confidence interval [CI]=1.28, 1.91) and the GAZEL cohort (HR=1.99; CI=1.66, 2.40). Female excess morbidity was observed for some measures in the Whitehall II data and for 1 measure in the GAZEL data. Only self-reported sickness absence in the Whitehall II data wasmore strongly associated with mortality among men (P=.01). Conclusions. Mortality was lower among women than among men, but morbidity was not consistently higher. The lack of gender differences in the association between morbidity and mortality suggests that this is not a likely explanation for the gender paradox, which refers to higher morbidity but lower mortality among women than among men.

Suggested Citation

  • Singh-Manoux, A. & Guéguen, A. & Ferrie, J. & Shipley, M. & Martikainen, P. & Bonenfant, S. & Goldberg, M. & Marmot, M., 2008. "Gender differences in the association between morbidity and mortality among middle-aged men and women," American Journal of Public Health, American Public Health Association, vol. 98(12), pages 2251-2257.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2006.107912_8
    DOI: 10.2105/AJPH.2006.107912
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    Cited by:

    1. Robert Stefko & Beata Gavurova & Viera Ivankova & Martin Rigelsky, 2020. "Gender Inequalities in Health and Their Effect on the Economic Prosperity Represented by the GDP of Selected Developed Countries—Empirical Study," IJERPH, MDPI, vol. 17(10), pages 1-26, May.
    2. Luis Miguel Bello-Lujan & Jose Antonio Serrano-Sanchez & Juan Jose Gonzalez-Henriquez, 2022. "Stable Gender Gap and Similar Gender Trend in Chronic Morbidities between 1997–2015 in Adult Canary Population," IJERPH, MDPI, vol. 19(15), pages 1-19, July.
    3. Ballering, Aranka V. & Bonvanie, Irma J. & Olde Hartman, Tim C. & Monden, Rei & Rosmalen, Judith G.M., 2020. "Gender and sex independently associate with common somatic symptoms and lifetime prevalence of chronic disease," Social Science & Medicine, Elsevier, vol. 253(C).
    4. Patrizio Vanella & Christina Benita Wilke & Doris Söhnlein, 2022. "Prevalence and Economic Costs of Absenteeism in an Aging Population—A Quasi-Stochastic Projection for Germany," Forecasting, MDPI, vol. 4(1), pages 1-23, March.
    5. Beata Gavurova & Viera Ivankova & Martin Rigelsky & Ladislav Suhanyi, 2020. "Impact of Gender Inequalities in the Causes of Mortality on the Competitiveness of OECD Countries," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
    6. M. Angeles Zulueta & Gisela Cantos-Mateos & Benjamín Vargas-Quesada & Carmen Sánchez, 2011. "Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 679-706, September.
    7. Sadig, Husam, 2014. "Unknown eligibility whilst weighting for non-response: the puzzle of who has died and who is still alive?," ISER Working Paper Series 2014-35, Institute for Social and Economic Research.
    8. Nicholson, Amanda & Rose, Richard & Bobak, Martin, 2009. "Association between attendance at religious services and self-reported health in 22 European countries," Social Science & Medicine, Elsevier, vol. 69(4), pages 519-528, August.
    9. M.D. Azharuddin Akhtar & Nadeem Ahmad & Indrani Roy Chowdhury, 2020. "Measuring Socio-Economic Inequality in Self-Reported Morbidity in India: Decomposition Analysis," Review of Development and Change, , vol. 25(1), pages 89-111, June.

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