Evidence map›Paper›PMID 32102819›Full record

SynthesisBMJ open2020

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

Juliane Burghardt, Ana Nanette Tibubos, Danielle Otten, Elmar Brähler, Harald Binder, Hans Grabe, Johannes Kruse, Karl Heinz Ladwig, Georg Schomerus, Philipp S Wild and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Associations Between Physical Activity and Mental Health Problems in Middle-aged Indonesians.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Juliane BurghardtDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany Juliane.Burghardt@uni-hamburg.de.ORCID 0000-0003-0690-0731
Ana Nanette TibubosDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Danielle OttenDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Elmar BrählerDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Harald BinderInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany.
Hans GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Johannes KruseDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center Giessen and Marburg, Giessen, Germany.
Karl Heinz LadwigInstitute of Epidemiology, Helmholtz-Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0003-0710-1720
Georg SchomerusDepartment of Psychiatry, Medical Faculty, Leipzig University, Leipzig, Germany.
Philipp S WildPreventive Cardiology and Preventive Medicine - Center for Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Manfred E BeutelDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (eg, quality of life, healthcare behaviour and utilisation). METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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.

Indexed as

AdultAgedClinical ProtocolsFemaleGermanyHumansLongitudinal StudiesMaleMental DisordersMental HealthMiddle AgedPrevalenceRegression AnalysisRisk FactorsSex Factorsassessmentcommon mental disordersgenderprospectivesex

Identifiers

PMID32102819
PMCPMC7045246

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.