Literature DB >> 33555321

Assessing the Psychosocial Work Environment in Relation to Mental Health: A Comprehensive Approach.

Faraz V Shahidi1, Monique A M Gignac1,2, John Oudyk3, Peter M Smith1,2,4.   

Abstract

OBJECTIVES: Prevailing job stress models encourage a multidimensional view of the psychosocial work environment and highlight the role that multiple co-occurring stressors play in the aetiology of mental health problems. In this study, we develop a latent typology of psychosocial work environment profiles to describe how a comprehensive array of job stressors are clustered in the Canadian labour market. We also examine the association between these latent psychosocial work environment profiles and several indicators of mental health.
METHODS: Data were collected from 6408 workers who completed the Canadian National Psychosocial Work Environment Survey. Psychosocial work exposures were measured using standard items from the Copenhagen Psychosocial Questionnaire. We employed latent profile analyses to identify groups of individuals with similar psychosocial work environment profiles. We used log-linear regression models to examine the association between latent psychosocial work environment profiles and burnout, stress, and cognitive strain.
RESULTS: Four distinct groups with highly divergent psychosocial work environment profiles were identified. Adjusting for a range of demographic and socioeconomic factors, latent psychosocial work environment profiles were strongly related to mental health. Individuals who reported exposure to a comprehensive array of psychosocial job stressors (11% prevalence) reported the highest probability of burnout (PR: 7.51, 95% confidence interval [CI]: 5.56-10.15), stress (PR: 8.98, 95% CI: 6.20-13.0), and cognitive strain (PR: 7.29, 95% CI: 5.02-10.60).
CONCLUSIONS: Findings suggest that psychosocial work stressors are tightly clustered in the Canadian labour market, and that the clustering of work stressors is strongly associated with adverse mental health outcomes. Future scholarship may benefit from adopting a more comprehensive approach to the assessment of psychosocial job quality as a determinant of health and well-being.
© The Author(s) 2021. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

Entities:  

Keywords:  COPSOQ; cluster analysis; job strain; job stress; latent class analysis; work stressors

Mesh:

Year:  2021        PMID: 33555321      PMCID: PMC8091465          DOI: 10.1093/annweh/wxaa130

Source DB:  PubMed          Journal:  Ann Work Expo Health        ISSN: 2398-7308            Impact factor:   2.179


  39 in total

1.  The second version of the Copenhagen Psychosocial Questionnaire.

Authors:  Jan Hyld Pejtersen; Tage Søndergård Kristensen; Vilhelm Borg; Jakob Bue Bjorner
Journal:  Scand J Public Health       Date:  2010-02       Impact factor: 3.021

2.  Do dimensions from the Copenhagen Psychosocial Questionnaire predict vitality and mental health over and above the job strain and effort-reward imbalance models?

Authors:  Hermann Burr; Karen Albertsen; Reiner Rugulies; Harald Hannerz
Journal:  Scand J Public Health       Date:  2010-02       Impact factor: 3.021

3.  Why representativeness should be avoided.

Authors:  Kenneth J Rothman; John E J Gallacher; Elizabeth E Hatch
Journal:  Int J Epidemiol       Date:  2013-08       Impact factor: 7.196

4.  The psychosocial work environment is associated with risk of stroke at working age.

Authors:  Katarina Jood; Nadine Karlsson; Jennie Medin; Hélène Pessah-Rasmussen; Per Wester; Kerstin Ekberg
Journal:  Scand J Work Environ Health       Date:  2017-03-27       Impact factor: 5.024

5.  Invited Commentary: Linking Job Security and Mental Health-Challenges and Future Directions.

Authors:  Sarah Burgard
Journal:  Am J Epidemiol       Date:  2021-02-01       Impact factor: 4.897

6.  The Danish Psychosocial Work Environment Questionnaire (DPQ): Development, content, reliability and validity.

Authors:  Thomas Clausen; Ida Eh Madsen; Karl Bang Christensen; Jakob B Bjorner; Otto M Poulsen; Thomas Maltesen; Vilhelm Borg; Reiner Rugulies
Journal:  Scand J Work Environ Health       Date:  2018-12-28       Impact factor: 5.024

7.  Common mental disorders, unemployment and psychosocial job quality: is a poor job better than no job at all?

Authors:  P Butterworth; L S Leach; S McManus; S A Stansfeld
Journal:  Psychol Med       Date:  2012-11-22       Impact factor: 7.723

Review 8.  Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data.

Authors:  I E H Madsen; S T Nyberg; L L Magnusson Hanson; J E Ferrie; K Ahola; L Alfredsson; G D Batty; J B Bjorner; M Borritz; H Burr; J-F Chastang; R de Graaf; N Dragano; M Hamer; M Jokela; A Knutsson; M Koskenvuo; A Koskinen; C Leineweber; I Niedhammer; M L Nielsen; M Nordin; T Oksanen; J H Pejtersen; J Pentti; I Plaisier; P Salo; A Singh-Manoux; S Suominen; M Ten Have; T Theorell; S Toppinen-Tanner; J Vahtera; A Väänänen; P J M Westerholm; H Westerlund; E I Fransson; K Heikkilä; M Virtanen; R Rugulies; M Kivimäki
Journal:  Psychol Med       Date:  2017-01-26       Impact factor: 7.723

9.  Dissecting the effect of workplace exposures on workers' rating of psychological health and safety.

Authors:  Avinash Ramkissoon; Peter Smith; John Oudyk
Journal:  Am J Ind Med       Date:  2019-03-27       Impact factor: 2.214

10.  Assessing the Risk of Stress in Organizations: Getting the Measure of Organizational-Level Stressors.

Authors:  Stephen Wood; Valerio Ghezzi; Claudio Barbaranelli; Cristina Di Tecco; Roberta Fida; Maria Luisa Farnese; Matteo Ronchetti; Sergio Iavicoli
Journal:  Front Psychol       Date:  2019-12-20
View more
  1 in total

Review 1.  Individual Workplace Well-Being Captured into a Literature- and Stakeholders-Based Causal Loop Diagram.

Authors:  Irene M W Niks; Guido A Veldhuis; Marianne H J van Zwieten; Teun Sluijs; Noortje M Wiezer; Heleen M Wortelboer
Journal:  Int J Environ Res Public Health       Date:  2022-07-22       Impact factor: 4.614

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.