A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany
- Publication type:
- Journal article
- Metadata:
-
- Abstract
- <jats:sec><jats:title>Introduction</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Methods and analysis</jats:title><jats:p>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 Research in the Augsburg Region (KORA)) with data on mental and somatic symptoms, medical assessments and diagnoses in north-east, middle and southern Germany (n>40 000). Meta-analytic techniques (using DataSHIELD framework) will be used to combine aggregated data from these cohorts. This process will inform about heterogeneity of effects. Longitudinal regression models will estimate sex-specific trajectories and effects of risk and protective factors and secondary outcomes.</jats:p></jats:sec><jats:sec><jats:title>Ethics and dissemination</jats:title><jats:p>The cohorts were approved by the ethics committees of the Statutory Physician Board of Rhineland-Palatinate (837.020.07; GHS), the University of Greifswald (BB 39/08; SHIP) and the Bavarian Chamber of Physicians (06068; KORA). Together with stakeholders in medical care and medical training, findings will be translated and disseminated into gender-sensitive health promotion and prevention.</jats:p></jats:sec>
- Autoren
- 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
- DOI
- 10.1136/bmjopen-2019-034220
- eISSN
- 2044-6055
- ISSN
- 2044-6055
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- BMJ Open
- Sprache
- en
- Online publication date
- 2020
- Paginierung
- e034220 - e034220
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Herausgeber
- BMJ
- Herausgeber URL
- http://dx.doi.org/10.1136/bmjopen-2019-034220
- Datum der Datenerfassung
- 2022
- Titel
- A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany
- Ausgabe der Zeitschrift
- 10
Data source: Crossref
- Other metadata sources:
-
- Author's licence
- CC-BY-NC
- Autoren
- 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
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- JGU-Publikationen
- Resource version
- Published version
- DOI
- 10.1136/bmjopen-2019-034220
- Funding acknowledgements
- DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 2044-6055
- Zeitschrift
- BMJ open
- Schlüsselwörter
- 610 Medizin
- 610 Medical sciences
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- e034220
- Datum der Veröffentlichung
- 2020
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/5230
- Herausgeber
- BMJ Publishing Group
- Herausgeber URL
- http://dx.doi.org/10.1136/bmjopen-2019-034220
- Datum der Datenerfassung
- 2020
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2020
- Zugang
- Public
- Titel
- A multi-cohort consortium for GEnder-Sensitive Analyses of mental health trajectories and implications for prevention (GESA) in the general population in Germany
- Ausgabe der Zeitschrift
- 10
Files
otten_danielle-a_multi-cohort-20201016152922942.pdf
Data source: OPENSCIENCE.UB