Logo
Munich Personal RePEc Archive

Feeling discriminated means poor self-perceived health: a gender analysis using SHARE

Pinillos-Franco, Sara and Cantarero-Prieto, David and Lera, Javier (2022): Feeling discriminated means poor self-perceived health: a gender analysis using SHARE.

[thumbnail of MPRA_paper_114028.pdf]
Preview
PDF
MPRA_paper_114028.pdf

Download (727kB) | Preview

Abstract

Most part of the literature has highlighted the detrimental effects of discrimination on health. However, the influence of past and perceived discrimination on older workers’ self-assessed health has been understudied. We aim to study whether reported discrimination is associated with self-assessed health among old men and women of working ages (50-65 years of age). Data was retrieved from the seventh wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) to obtain the regular panel of questions, and the third and seventh waves of the SHARELIFE questionnaire, that includes information about discrimination (n=30,019). We first used Latent Class Analysis (LCA) to detect groups of individuals in our sample and afterward, we used logistic regression models to determine the impact of discrimination on old men and women workers’ health separately. The results show that 49.0% of our sample was composed of highly discriminated old women, while the remaining percentage covered old men and women (42.3% males and 8.7% females) that reported lower levels of discrimination. Our estimations reveal a significant association between discrimination and poor health status, especially in the case of old men ranging from OR=1.807 (95% CI 1.497 – 2.182) to OR=1.619 (95% CI 1.356 – 1.933). In the case of women our results range from OR= 1.729 (95% CI 1.456 – 2.055) to OR= 1.197 (95% CI 0.981 – 1.462). These findings are essential to highlight the importance of tackling discrimination as a determinant of health that negatively affects both sexes, men and women.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.