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Research article
Gender gap in self-rated health: A cohort perspective
Marta Gil-Lacruz
Universidad de Zaragoza Facultad de Ciencias de la Salud
Corresponding Author
ORCiD: https://orcid.org/0000-0001-8261-058X
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The relation among gender differences and culture in self-rated health is not only bidirectional and static. In this sense, it is important to difference between effects of age and cohort. The aim of this study is analyzing gender gap differences in self-rated health from a generational perspective in order to explore health diversity from a multidisciplinary approach with policy implications.
Methods: We used data drawn from the European Health Interview Survey for 8 Eastern European Countries and EUROSTAT from 2006 through 2009. We conducted multilevel analyses to understand individual and national health determinants of self-rated health by gender and if national differences remain after controlling from micro variables. In order to analyse the role of equity (Gini Quartile) and capacity to create richness (GDPpc Quartile) in gender differences, Oaxaca analyses were developed.
Results: Self-rated health gender gap increases with age. Individual characteristics, such as educational level or smoking influence the citizens´ perceived health, with a stronger effect on women than on men. Both characteristics (endowment effects) and effects of individual characteristics (coefficient effects) on health are important to understand gender gaps among people from silent generation.
Conclusions: Our research points out that random effects are greater for men than for women. Besides, random effects might be explained to certain extent by both indexes (Gini and GDPpc). The combined effects of gender, cohort and geographical differences on self-rated health have to be taken into account to figure out public health policies.
Keywords
health gender gap, self-rated health, wealth, economic inequity, health international comparison, European Health Interview Survey, health cohorts research.
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This is a preprint. It has not completed peer review.
Research article
Gender gap in self-rated health: A cohort perspective
Marta Gil-Lacruz
Universidad de Zaragoza Facultad de Ciencias de la Salud
Corresponding Author
ORCiD: https://orcid.org/0000-0001-8261-058X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 18 Dec, 2019
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The relation among gender differences and culture in self-rated health is not only bidirectional and static. In this sense, it is important to difference between effects of age and cohort. The aim of this study is analyzing gender gap differences in self-rated health from a generational perspective in order to explore health diversity from a multidisciplinary approach with policy implications.
Methods: We used data drawn from the European Health Interview Survey for 8 Eastern European Countries and EUROSTAT from 2006 through 2009. We conducted multilevel analyses to understand individual and national health determinants of self-rated health by gender and if national differences remain after controlling from micro variables. In order to analyse the role of equity (Gini Quartile) and capacity to create richness (GDPpc Quartile) in gender differences, Oaxaca analyses were developed.
Results: Self-rated health gender gap increases with age. Individual characteristics, such as educational level or smoking influence the citizens´ perceived health, with a stronger effect on women than on men. Both characteristics (endowment effects) and effects of individual characteristics (coefficient effects) on health are important to understand gender gaps among people from silent generation.
Conclusions: Our research points out that random effects are greater for men than for women. Besides, random effects might be explained to certain extent by both indexes (Gini and GDPpc). The combined effects of gender, cohort and geographical differences on self-rated health have to be taken into account to figure out public health policies.
Figure 1
Figure 2
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.