{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Burghardt J"],"funding":["Bundesministerium für Bildung und Forschung"],"pagination":["e034220"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7045246"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10(2)"],"pubmed_abstract":["<h4>Introduction</h4>Mental 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 (eg, quality of life, healthcare behaviour and utilisation).<h4>Methods and analysis</h4>We plan to perform secondary analyses on three major, ongoing, population-based, longitudinal cohorts (Gutenberg Health-Study (GHS), Study of Health in Pomerania (SHIP), Cooperative Health "],"journal":["BMJ open"],"pubmed_title":["A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany."],"pmcid":["PMC7045246"],"funding_grant_id":["01GL1718A"],"pubmed_authors":["Schomerus G","Binder H","Wild PS","Burghardt J","Grabe H","Brahler E","Kruse J","Beutel ME","Otten D","Tibubos AN","Ladwig KH"],"additional_accession":[]},"is_claimable":false,"name":"A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany.","description":"<h4>Introduction</h4>Mental 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 (eg, quality of life, healthcare behaviour and utilisation).<h4>Methods and analysis</h4>We plan to perform secondary analyses on three major, ongoing, population-based, longitudinal cohorts (Gutenberg Health-Study (GHS), Study of Health in Pomerania (SHIP), Cooperative Health ","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Feb","modification":"2025-04-05T08:54:05.541Z","creation":"2020-05-22T12:41:52Z"},"accession":"S-EPMC7045246","cross_references":{"pubmed":["32102819"],"doi":["10.1136/bmjopen-2019-034220"]}}