Literature DB >> 18185965

[Gender-sensitive epidemiological data analysis: methodological aspects and empirical outcomes. Illustrated by a health reporting example].

I Jahn1, R Foraita.   

Abstract

In Germany gender-sensitive approaches are part of guidelines for good epidemiological practice as well as health reporting. They are increasingly claimed to realize the gender mainstreaming strategy in research funding by the federation and federal states. This paper focuses on methodological aspects of data analysis, as an empirical data example of which serves the health report of Bremen, a population-based cross-sectional study. Health reporting requires analysis and reporting methods that are able to discover sex/gender issues of questions, on the one hand, and consider how results can adequately be communicated, on the other hand. The core question is: Which consequences do a different inclusion of the category sex in different statistical analyses for identification of potential target groups have on the results? As evaluation methods logistic regressions as well as a two-stage procedure were exploratively conducted. This procedure combines graphical models with CHAID decision trees and allows for visualising complex results. Both methods are analysed by stratification as well as adjusted by sex/gender and compared with each other. As a result, only stratified analyses are able to detect differences between the sexes and within the sex/gender groups as long as one cannot resort to previous knowledge. Adjusted analyses can detect sex/gender differences only if interaction terms have been included in the model. Results are discussed from a statistical-epidemiological perspective as well as in the context of health reporting. As a conclusion, the question, if a statistical method is gender-sensitive, can only be answered by having concrete research questions and known conditions. Often, an appropriate statistic procedure can be chosen after conducting a separate analysis for women and men. Future gender studies deserve innovative study designs as well as conceptual distinctiveness with regard to the biological and the sociocultural elements of the category sex/gender.

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Year:  2008        PMID: 18185965     DOI: 10.1007/s00103-008-0415-y

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  7 in total

1.  Primary prevention from the epidemiology perspective: three examples from the practice.

Authors:  Iris Pigeot; Stefaan De Henauw; Ronja Foraita; Ingeborg Jahn; Wolfgang Ahrens
Journal:  BMC Med Res Methodol       Date:  2010-02-03       Impact factor: 4.615

Review 2.  Examples of sex/gender sensitivity in epidemiological research: results of an evaluation of original articles published in JECH 2006-2014.

Authors:  Ingeborg Jahn; Claudia Börnhorst; Frauke Günther; Tilman Brand
Journal:  Health Res Policy Syst       Date:  2017-02-15

3.  A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany.

Authors:  Juliane Burghardt; Ana Nanette Tibubos; Danielle Otten; Elmar Brähler; Harald Binder; Hans Grabe; Johannes Kruse; Karl Heinz Ladwig; Georg Schomerus; Philipp S Wild; Manfred E Beutel
Journal:  BMJ Open       Date:  2020-02-25       Impact factor: 2.692

4.  Civil society stakeholders' participation in national health reporting on sex/gender issues: a study protocol for an intersectionality-informed and sex/gender-sensitive approach to focus group research.

Authors:  Kathleen Pöge; Sarah Mirabella Strasser; Anke-Christine Saß; Alexander Rommel
Journal:  BMJ Open       Date:  2020-01-13       Impact factor: 2.692

5.  A Systematic Review on Sex- and Gender-Sensitive Research in Public Mental Health During the First Wave of the COVID-19 Crisis.

Authors:  Ana N Tibubos; Daniëlle Otten; Mareike Ernst; Manfred E Beutel
Journal:  Front Psychiatry       Date:  2021-09-17       Impact factor: 5.435

Review 6.  A new era: improving use of sociodemographic constructs in the analysis of pediatric cohort study data.

Authors:  Aruna Chandran; Emily Knapp; Tiange Liu; Lorraine T Dean
Journal:  Pediatr Res       Date:  2021-02-18       Impact factor: 3.756

7.  Course of depressive symptoms in men and women: differential effects of social, psychological, behavioral and somatic predictors.

Authors:  Ana N Tibubos; Elmar Brähler; Mareike Ernst; Carlotta Baumgarten; Joerg Wiltink; Juliane Burghardt; Matthias Michal; Jasmin Ghaemi Kerahrodi; Andreas Schulz; Philipp S Wild; Thomas Münzel; Irene Schmidtmann; Karl J Lackner; Norbert Pfeiffer; Andreas Borta; Manfred E Beutel
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

  7 in total

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