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Study protocol for examining job strain as a risk factor for severe unipolar depression in an individual participant meta-analysis of 14 European cohorts [v2; ref status: indexed, http://f1000r.es/30q]

Authors :
Ida E. H. Madsen
Harald Hannerz
Solja T. Nyberg
Linda L. Magnusson Hanson
Kirsi Ahola
Lars Alfredsson
G. David Batty
Jakob B. Bjorner
Marianne Borritz
Hermann Burr
Nico Dragano
Jane E. Ferrie
Mark Hamer
Markus Jokela
Anders Knutsson
Markku Koskenvuo
Aki Koskinen
Constanze Leineweber
Martin L. Nielsen
Maria Nordin
Tuula Oksanen
Jan H. Pejtersen
Jaana Pentti
Paula Salo
Archana Singh-Manoux
Sakari Suominen
Töres Theorell
Salla Toppinen-Tanner
Jussi Vahtera
Ari Väänänen
Peter J. M Westerholm
Hugo Westerlund
Eleonor Fransson
Katriina Heikkilä
Marianna Virtanen
Reiner Rugulies
Mika Kivimäki
for the IPD-Work Consortium
Source :
F1000Research, Vol 2 (2014)
Publication Year :
2014
Publisher :
F1000 Research Ltd, 2014.

Abstract

Background: Previous studies have shown that gainfully employed individuals with high work demands and low control at work (denoted “job strain”) are at increased risk of common mental disorders, including depression. Most existing studies have, however, measured depression using self-rated symptom scales that do not necessarily correspond to clinically diagnosed depression. In addition, a meta-analysis from 2008 indicated publication bias in the field. Methods: This study protocol describes the planned design and analyses of an individual participant data meta-analysis, to examine whether job strain is associated with an increased risk of clinically diagnosed unipolar depression based on hospital treatment registers. The study will be based on data from approximately 120,000 individuals who participated in 14 studies on work environment and health in 4 European countries. The self-reported working conditions data will be merged with national registers on psychiatric hospital treatment, primarily hospital admissions. Study-specific risk estimates for the association between job strain and depression will be calculated using Cox regressions. The study-specific risk estimates will be pooled using random effects meta-analysis. Discussion: The planned analyses will help clarify whether job strain is associated with an increased risk of clinically diagnosed unipolar depression. As the analysis is based on pre-planned study protocols and an individual participant data meta-analysis, the pooled risk estimates will not be influenced by selective reporting and publication bias. However, the results of the planned study may only pertain to severe cases of unipolar depression, because of the outcome measure applied.

Details

Language :
English
ISSN :
20461402
Volume :
2
Database :
Directory of Open Access Journals
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
edsdoj.814f4af98d4c14a00d8ab3538900f2
Document Type :
article
Full Text :
https://doi.org/10.12688/f1000research.2-233.v2