2020
DOI: 10.1136/bmjopen-2019-034220
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A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany

Abstract: IntroductionMental health is marked by gender differences. We formed a multi-cohort consortium to perform GEnder-Sensitive Analyses of mental health trajectories and study their implications for prevention (GESA). GESA aims at (1) identifying gender differences regarding symptoms and trajectories of mental health over the lifespan; (2) determining gender differences regarding the prevalence, impact of risk and protective factors; and (3) determining effects of mental health on primary and secondary outcomes (e… Show more

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Cited by 11 publications
(9 citation statements)
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“…The GESA consortium (GEnder-Sensitive Analyses of mental health trajectories and implications for prevention: A multi-cohort consortium) [ 24 ] included three major, ongoing, longitudinal cohorts in middle, southern and northeast Germany: the Gutenberg Health Study (GHS) [ 26 ], the Cooperative Health Research in the Augsburg Region (KORA) [ 27 , 28 ] and the Study of Health in Pomerania (SHIP) [ 29 ]. These regions differ in their socioeconomic and regional characteristics [ 24 ]. Middle and southern Germany are economically stronger than northeast Germany (e.g.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The GESA consortium (GEnder-Sensitive Analyses of mental health trajectories and implications for prevention: A multi-cohort consortium) [ 24 ] included three major, ongoing, longitudinal cohorts in middle, southern and northeast Germany: the Gutenberg Health Study (GHS) [ 26 ], the Cooperative Health Research in the Augsburg Region (KORA) [ 27 , 28 ] and the Study of Health in Pomerania (SHIP) [ 29 ]. These regions differ in their socioeconomic and regional characteristics [ 24 ]. Middle and southern Germany are economically stronger than northeast Germany (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Religiosity is higher in southern Germany and lowest in northeast Germany [ 30 ]. Based on the assessments of specific psychosocial variables, different waves of these cohorts were selected for the GESA consortium [ 24 ]. For this study GHS F1, KORA F4 and SHIP3 including data from the years 2006–2016 were selected, 304 (1.5%) (GHS 278, KORA 16 and SHIP 10) respondents with missings on all PHQ-9 items were excluded, which lead to a total sample of N = 19,504.…”
Section: Methodsmentioning
confidence: 99%
“…The GESA consortium (GEnder-Sensitive Analyses of mental health trajectories and implications for prevention: A multi-cohort consortium) included high-quality data on mental and somatic symptoms in over 40,000 participants from multiple longitudinal cohorts in Germany ( 16 ): the Gutenberg Health Study (GHS) conducted in southeast Germany ( 17 ), the Cooperative Health Research in the Augsburg Region (KORA) conducted in southern Germany ( 18 , 19 ), and the Study of Health in Pomerania (SHIP) conducted in northeast Germany ( 20 ). The combined samples originate from different German regions; their different socioeconomic characteristics will inform gender-sensitive analyses ( 16 ).…”
Section: Methodsmentioning
confidence: 99%
“…The different measures, waves, and age structures of the cohorts require substantial harmonization and complicate interpretations ( 16 ). DataSHIELD (Data Aggregation through Anonymous Summary-statistics from Harmonized Individual LevEL Databases) was used to conduct a pooled analysis of multiple cohort study data, which enables describing and analyzing large-scale and complex interactions in epidemiological studies.…”
Section: Methodsmentioning
confidence: 99%
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