What can we learn from an intersectionality-informed description of study participants? Results from the German National Cohort

Our results showed that heterogeneity within social categories can be revealed by applying the concept of intersectionality when comparing study participants with an external population. This way, an intersectionality-informed approach contributes to describing social complexity among study participants more precisely. Furthermore, results can be used to reduce participation barriers in a more targeted way.

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Publication Details

Journal
International Journal for Equity in Health
Published
2025-05-26
DOI
https://doi.org/10.1186/s12939-025-02521-3
Primary Topic
Sex and Gender in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

What can we learn from an intersectionality-informed description of study participants? Results from the German National Cohort

Sibille Merz, Philipp Jaehn, Stefanie Jaskulski, Sabine Schipf et al.
International Journal for Equity in Health
Sex and Gender in Healthcare
article

What can we learn from an intersectionality-informed description of study participants? Results from the German National Cohort

Sibille Merz, Philipp Jaehn, Stefanie Jaskulski, Sabine Schipf, Sylvia Gastell, Barbara Bohn, Carolina Judith Klett-Tammen, Kerstin Wirkner, Amand Führer, Ilais Moreno Velásquez, S. Claire Slesinski, Rudolf Kaaks, Michael F. Leitzmann, Volker Harth, Lena Koch‐Gallenkamp, Matthias Bernd Schulze, Gabriele Bolte, Andrea Weber, Bernd Holleczek, Carina Emmel, Tobias Pischon, Stefan Rach, Henning Teismann, Klaus Berger, Nadia Obi, Tilman Brand, Thomas Keil, Hermann Brenner, Christine Holmberg, Tamara Schikowski, Alexandra Schneider, Nina Ebert, Paula Sofia Herrera-Espejel, Verena Katzke, Stefan N. Willich, Börge Schmidt, Claudia Meinke-Franze, Stefanie Castell, Rafael Mikolajczyk
article en

Abstract

Our results showed that heterogeneity within social categories can be revealed by applying the concept of intersectionality when comparing study participants with an external population. This way, an intersectionality-informed approach contributes to describing social complexity among study participants more precisely. Furthermore, results can be used to reduce participation barriers in a more targeted way.

International Journal for Equity in HealthVol. 24(1)
Universität Hamburg (DE), University of Freiburg (DE), University of Potsdam (DE), German Cancer Research Center (DE), University of Bremen (DE), Max Delbrück Center (DE), Heidelberg University (DE), University of Münster (DE), University of Würzburg (DE), Universitätsmedizin Greifswald (DE), Helmholtz Zentrum München (DE), Leibniz Institute of Environmental Medicine (DE), University Medical Center Hamburg-Eppendorf (DE), Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE), Helmholtz Centre for Infection Research (DE), Krebsregister Saarland (DE), Medizinische Hochschule Brandenburg Theodor Fontane (DE), Deutsches Diabetes-Zentrum e.V. (DE), Universitätsklinikum Brandenburg an der Havel (DE), German Institute of Human Nutrition (DE), Heinrich Heine University Düsseldorf (DE), University of Regensburg (DE), University of Duisburg-Essen (DE), Martin Luther University Halle-Wittenberg (DE), Charité - Universitätsmedizin Berlin (DE)
Bundesministerium für Bildung und Forschung, Universität Bremen, Helmholtz Association, Leibniz-Gemeinschaft
Good health and well-being
Openalex Percentile: Top 84%
Sex and Gender in Healthcare
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