Reference : Patterns of health related gender inequalities – a cluster analysis of 45 countries
Scientific journals : Article
Social & behavioral sciences, psychology : Sociology & social sciences
Human health sciences : Public health, health care sciences & services
http://hdl.handle.net/10993/43072
Patterns of health related gender inequalities – a cluster analysis of 45 countries
English
Heinz, Andreas mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Catunda, Carolina mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
van Duin, Claire mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Torsheim, Torbjørn [University of Bergen > Department of Psychosocial Science]
Willems, Helmut Erich mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
2020
Journal of Adolescent Health
Taylor & Francis
66
6S
29-39
Yes (verified by ORBilu)
International
1054-139X
1879-1972
United Kingdom
[en] Health Behaviour in School-aged Children ; Cluster analysis ; International comparison ; Gender inequality index
[en] Purpose: The paper explores gender inequalities between 45 countries across 10 health indicators
among adolescents and whether those differences in health correlate with gender inequality in general.
Methods: Data from 71,942 students aged 15 years from 45 countries who participated in the 2018
Health Behaviour in School-aged Children survey were analyzed. For this purpose, 10 indicators
were selected, representing a broad spectrum of health outcomes. The gender differences in the
countries were first presented using odds ratios. Countries with similar risk profiles were grouped
together using cluster analyses. For each of the 10 indicators, the correlation with the Gender
Inequality Index was examined.
Results: The cluster analysis reveals systematic gender inequalities, as the countries can be divided
into seven distinct groups with similar gender inequality patterns. For eight of the 10 health indicators,
there is a negative correlation with the Gender Inequality Index: the greater the gender
equality in a country, the higher the odds that girls feel fat, have low support from families, have
low life satisfaction, have multiple health complaints, smoke, drink alcohol, feel school pressure,
and are overweight compared with boys. Four indicators show a divergence: the higher the gender
equality in a country in general, the larger the differences between boys and girls regarding life
satisfaction, school pressure, multiple health complaints, and feeling fat.
Conclusions: Countries that are geographically and historically linked are similar in terms of the
health risks for boys and girls. The results challenge the assumption that greater gender equality is
always associated with greater health equality.
Researchers ; Professionals ; General public
http://hdl.handle.net/10993/43072
10.1016/j.jadohealth.2020.02.011

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Appendix ORs with 95CI.docxAppendix 1: Odds Ratios with 95% Confidence Intervals19.94 kBView/Open
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Appendix Sample size.docxAppendix 2: Sample size31.38 kBView/Open

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