Intersectionality on the perception of health in two cross-national surveys (WVS and EVS)
- PMID: 38628763
- PMCID: PMC11019233
- DOI: 10.1016/j.heliyon.2024.e29319
Intersectionality on the perception of health in two cross-national surveys (WVS and EVS)
Abstract
This article focuses on the health perceptions of people across social strata and nations using the combined dataset of the World Values Survey and the European Values Study (EVS/WVS). An intercategorical intersectional analysis model was developed to examine the social determinants underlying differences in health perceptions. Using logistic regression of the interactions between sex, age, level of educational attainment and income, we calculated the impact of these variables (main effects) and their interactions within the intersecting categories on health perceptions. The group with the best perception of their health includes men aged 16-49, with a high income and an upper-middle level of education. Comparative analysis has been carried out to identify differences in the influence of intersectional categories across countries. Of particular relevance is the number of Eastern European countries where the perception of people aged 50 and over with low income is very poor.
Keywords: Intercategorical intersectional analysis; Perceived health status; Social strata; World values survey and european values study (EVS/WVS).
© 2024 The Authors.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures








References
-
- World Health Organization World health statistics 2023: monitoring health for the SDGs, sustainable development goals. 2023. https://www.who.int/publications/i/item/9789240074323
-
- Haerpfer C., Inglehart R., Moreno A., Welzel C., Kizilova K., Diez-Medrano J. J., Lagos M., Norris P., Ponarin E., Puranen B., et al., editors. World Values Survey Trend File (1981-2022) Cross-National Data-Set. JD Systems Institute & WVSA Secretariat; Madrid, Spain & Vienna, Austria: 2022. Data File. - DOI
-
- Evs G.E.S.I.S. GESIS Data Archive; Cologne: 2021. EVS Trend File 1981-2017. ZA7503 Data file. - DOI
LinkOut - more resources
Full Text Sources