Intersectionality-Informed Sex/Gender-Sensitivity in Public Health Monitoring and Reporting (PHMR): A Case Study Assessing Stratification on an “Intersectional Gender-Score”

Emily Mena (), Katharina Stahlmann, Klaus Telkmann, Gabriele Bolte and on behalf of the AdvanceGender Study Group
Additional contact information
Emily Mena: Department of Social Epidemiology, Institute of Public Health and Nursing Research, Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany
Katharina Stahlmann: Department of Social Epidemiology, Institute of Public Health and Nursing Research, Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany
Klaus Telkmann: Department of Social Epidemiology, Institute of Public Health and Nursing Research, Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany
Gabriele Bolte: Department of Social Epidemiology, Institute of Public Health and Nursing Research, Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany
on behalf of the AdvanceGender Study Group: Advance Gender Study Group are listed in acknowledgments.

IJERPH, 2023, vol. 20, issue 3, 1-15

Abstract: To date, PHMR has often relied on male/female stratification, but rarely considers the complex, intersecting social positions of men and women in describing the prevalence of health and disease. Stratification on an Intersectional Gender-Score (IG-Score), which is based on a variety of social covariables, would allow comparison of the prevalence of individuals who share the same complex intersectional profile (IG-Score). The cross-sectional case study was based on the German Socio-Economic Panel 2017 (n = 23,269 age 18+). After stratification, covariable-balance within the total sample and IG-Score-subgroups was assessed by standardized mean differences. Prevalence of self-rated health, mental distress, depression and hypertension was compared in men and women. In the IG-Score-subgroup with highest proportion of males and lowest probability of falling into the ‘woman’-category, most individuals were in full-time employment. The IG-Score-subgroup with highest proportion of women and highest probability of falling into the ‘woman’-category was characterized by part-time/occasional employment, housewife/-husband, and maternity/parental leave. Gender differences in prevalence of health indicators remained within the male-dominated IG-Score-subgroup, whereas the same prevalence of depression and self-rated health was observed for men and women constituting the female-dominated IG-Score-subgroup. These results might indicate that sex/gender differences of depression and self-rated health could be interpreted against the background of gender associated processes. In summary, the proposed procedure allows comparison of prevalence of health indicators conditional on men and women sharing the same complex intersectional profile.

Keywords: health monitoring; health reporting; intersectionality; gender; score; mental health; self-rated health; hypertension; decision trees; gradient boosting models (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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