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Psychosocial work environment as a dynamic network: a multi-wave cohort study
While characteristics of psychosocial work environment have traditionally been studied separately, we propose an alternative approach that treats psychosocial factors as interacting elements in networks where they all potentially affect each other. In this network analysis, we used data from a prosp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334355/ https://www.ncbi.nlm.nih.gov/pubmed/35902624 http://dx.doi.org/10.1038/s41598-022-17283-z |
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author | Elovainio, Marko Hakulinen, Christian Komulainen, Kaisla Kivimäki, Mika Virtanen, Marianna Ervasti, Jenni Oksanen, Tuula |
author_facet | Elovainio, Marko Hakulinen, Christian Komulainen, Kaisla Kivimäki, Mika Virtanen, Marianna Ervasti, Jenni Oksanen, Tuula |
author_sort | Elovainio, Marko |
collection | PubMed |
description | While characteristics of psychosocial work environment have traditionally been studied separately, we propose an alternative approach that treats psychosocial factors as interacting elements in networks where they all potentially affect each other. In this network analysis, we used data from a prospective occupational cohort including 10,892 participants (85% women; mean age 47 years) and repeated measurements of seven psychosocial work characteristics (job demands, job control, job uncertainty, team climate, effort-reward imbalance, procedural justice and interactional justice) assessed in 2000, 2004, 2008 and 2012. Results from multilevel longitudinal vector autoregressive models indicated that job demands as well as interactional and procedural justice were most broadly associated with the subsequent perceptions of the work-related psychosocial factors (high out-Strength), suggesting these factors might be potentially efficient targets of workplace interventions. The results also suggest that modifying almost any of the studied psychosocial factors might be relevant to subsequent perceptions of effort-reward imbalance and interactional justice at the workplace. |
format | Online Article Text |
id | pubmed-9334355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93343552022-07-30 Psychosocial work environment as a dynamic network: a multi-wave cohort study Elovainio, Marko Hakulinen, Christian Komulainen, Kaisla Kivimäki, Mika Virtanen, Marianna Ervasti, Jenni Oksanen, Tuula Sci Rep Article While characteristics of psychosocial work environment have traditionally been studied separately, we propose an alternative approach that treats psychosocial factors as interacting elements in networks where they all potentially affect each other. In this network analysis, we used data from a prospective occupational cohort including 10,892 participants (85% women; mean age 47 years) and repeated measurements of seven psychosocial work characteristics (job demands, job control, job uncertainty, team climate, effort-reward imbalance, procedural justice and interactional justice) assessed in 2000, 2004, 2008 and 2012. Results from multilevel longitudinal vector autoregressive models indicated that job demands as well as interactional and procedural justice were most broadly associated with the subsequent perceptions of the work-related psychosocial factors (high out-Strength), suggesting these factors might be potentially efficient targets of workplace interventions. The results also suggest that modifying almost any of the studied psychosocial factors might be relevant to subsequent perceptions of effort-reward imbalance and interactional justice at the workplace. Nature Publishing Group UK 2022-07-28 /pmc/articles/PMC9334355/ /pubmed/35902624 http://dx.doi.org/10.1038/s41598-022-17283-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Elovainio, Marko Hakulinen, Christian Komulainen, Kaisla Kivimäki, Mika Virtanen, Marianna Ervasti, Jenni Oksanen, Tuula Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title | Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title_full | Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title_fullStr | Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title_full_unstemmed | Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title_short | Psychosocial work environment as a dynamic network: a multi-wave cohort study |
title_sort | psychosocial work environment as a dynamic network: a multi-wave cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334355/ https://www.ncbi.nlm.nih.gov/pubmed/35902624 http://dx.doi.org/10.1038/s41598-022-17283-z |
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