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  • Predicting new major depression symptoms from long working hours, psychosocial safety climate and work engagement: a population-based cohort study

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Public health
Original research
Predicting new major depression symptoms from long working hours, psychosocial safety climate and work engagement: a population-based cohort study

Authors

  • Amy Jane Zadow Centre for Workplace Excellence, University of South Australia, Adelaide, South Australia, Australia PubMed articlesGoogle scholar articles
  • Maureen F Dollard Centre for Workplace Excellence, University of South Australia, Adelaide, South Australia, AustraliaSchool of Medicine, Institute of Work, Health and Organisations, University of Nottingham, Nottingham, UK PubMed articlesGoogle scholar articles
  • Christian Dormann Faculty of Law, Management and Economics, Johannes Gutenberg University Mainz, Mainz, Germany PubMed articlesGoogle scholar articles
  • Paul Landsbergis Department of Environmental and Occupational Health Sciences, State University of New York Downstate School of Public Health, Brooklyn, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Amy Jane Zadow; amy.zadow{at}unisa.edu.au
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Citation

Zadow AJ, Dollard MF, Dormann C, et al
Predicting new major depression symptoms from long working hours, psychosocial safety climate and work engagement: a population-based cohort study
BMJ Open 2021;11:e044133. doi: 10.1136/bmjopen-2020-044133

Publication history

  • Received September 1, 2020
  • Accepted May 19, 2021
  • First published June 23, 2021.
Online issue publication 
June 23, 2021
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Review history

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.