The Demand-Control Model as a Predictor of Depressive Symptoms-Interaction and Differential Subscale Effects: Prospective Analyses of 2212 German Employees.

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Bibliographic Details
Title: The Demand-Control Model as a Predictor of Depressive Symptoms-Interaction and Differential Subscale Effects: Prospective Analyses of 2212 German Employees.
Authors: Burr H; Unit 3.2 Psychosocial Factors and Mental Health, Federal Institute for Occupational Safety and Health (BAuA), 13017 Berlin, Germany., Müller G; Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany., Rose U; Unit 3.2 Psychosocial Factors and Mental Health, Federal Institute for Occupational Safety and Health (BAuA), 13017 Berlin, Germany., Formazin M; Unit 3.0 Work and Health, Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany., Clausen T; National Research Centre for the Working Environment, 2100 Copenhagen, Denmark., Schulz A; Unit 3.2 Psychosocial Factors and Mental Health, Federal Institute for Occupational Safety and Health (BAuA), 13017 Berlin, Germany., Berthelsen H; Centre for Work Life and Evaluation Studies (CTA) & the Faculty of Odontology, Malmö University, 211 19 Malmö, Sweden., Potter G; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27701, USA., d'Errico A; Department of Epidemiology, Local Health Unit ASL TO 3, Piedmont Region, 10095 Turin, Italy., Pohrt A; Department of Medical Psychology, Charité-Universitätsmedizin, 10317 Berlin, Germany.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2021 Aug 06; Vol. 18 (16). Date of Electronic Publication: 2021 Aug 06.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1660-4601
DOI:10.3390/ijerph18168328