Literature DB >> 30875543

Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior.

Anna Oksuzyan1, Maciej J Dańko2, Jennifer Caputo2, Domantas Jasilionis3, Vladimir M Shkolnikov4.   

Abstract

Research indicates that women have higher levels of physical disability and depression and lower scores on physical performance tests compared to men, while the evidence for gender differences in self-rated health is equivocal. Scholars note that these patterns may be related to women over-reporting and men under-reporting health problems, but gender differences in reporting behaviors have not been rigorously tested. Using Wave 1 of the Survey of Health, Ageing and Retirement in Europe (SHARE), the present study investigates the extent to which adjusting for differences in reporting behavior modifies gender differences in general health. We also examine whether men and women's reporting behaviors are consistent across different levels of education. After adjusting for reporting heterogeneity, gender differences in both poor and good health widened. However, we found no clear gender-specific patterns in reporting either poor or good health. Our findings also do not provide convincing evidence that education is an important determinant of general health reporting, although the female disadvantage in poor health and the male advantage in good health were more apparent in lower than higher education groups at all ages. The results challenge prevailing stereotypes that women over-report and men under-report health problems and highlight the importance of attending to health problems reported by women and men with equal care.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Gender; Gender stereotypes; Reporting behavior; Reporting heterogeneity; Self-rated health

Mesh:

Year:  2019        PMID: 30875543     DOI: 10.1016/j.socscimed.2019.03.002

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  10 in total

1.  Relationships and gender differences within and between assessments used in Swedish home rehabilitation - a cross-sectional study.

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2.  Until Death Do Us Part. The Influence of Own and Partner's Socioeconomic Status on the Health of Spanish Middle-Aged Population.

Authors:  Jordi Gumà; Jeroen Spijker
Journal:  Int J Environ Res Public Health       Date:  2020-06-28       Impact factor: 3.390

3.  Reporting biases in self-assessed physical and cognitive health status of older Europeans.

Authors:  Sonja Spitzer; Daniela Weber
Journal:  PLoS One       Date:  2019-10-08       Impact factor: 3.240

4.  The gender health gap in Europe's ageing societies: universal findings across countries and age groups?

Authors:  Alina Schmitz; Patrick Lazarevič
Journal:  Eur J Ageing       Date:  2020-02-17

5.  The association of polypharmacy and high-risk drug classes with adverse health outcomes in the Scottish population with type 1 diabetes.

Authors:  Andreas Höhn; Anita Jeyam; Thomas M Caparrotta; Stuart J McGurnaghan; Joseph E O'Reilly; Luke A K Blackbourn; Rory J McCrimmon; Graham P Leese; John A McKnight; Brian Kennon; Robert S Lindsay; Naveed Sattar; Sarah H Wild; Paul M McKeigue; Helen M Colhoun
Journal:  Diabetologia       Date:  2021-02-19       Impact factor: 10.122

6.  Gender differences in time to first hospital admission at age 60 in Denmark, 1995-2014.

Authors:  Andreas Höhn; Anna Oksuzyan; Rune Lindahl-Jacobsen; Kaare Christensen; Rosie Seaman
Journal:  Eur J Ageing       Date:  2021-03-27

7.  What influences individual perception of health? Using machine learning to disentangle self-perceived health.

Authors:  Jordi Gumà
Journal:  SSM Popul Health       Date:  2021-12-09

8.  The gender gap in mental well-being at the onset of the Covid-19 pandemic: Evidence from the UK.

Authors:  Ben Etheridge; Lisa Spantig
Journal:  Eur Econ Rev       Date:  2022-04-18

9.  Gender differences in health in Havana versus in Mexico City and in the US Hispanic population.

Authors:  Mine Kühn; Carlos Díaz-Venegas; Domantas Jasilionis; Anna Oksuzyan
Journal:  Eur J Ageing       Date:  2020-03-16

10.  Rethinking morbidity compression.

Authors:  Rosie Seaman; Andreas Höhn; Rune Lindahl-Jacobsen; Pekka Martikainen; Alyson van Raalte; Kaare Christensen
Journal:  Eur J Epidemiol       Date:  2020-05-16       Impact factor: 8.082

  10 in total

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