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Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity

OBJECTIVE: This study investigated associations between the co-existence of multiple types of work-related psychosocial and physical risk factors, and (1) obesity; (2) smoking; and (3) leisure-time physical inactivity. It also aimed to identify sociodemographic characteristics related to clustering...

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Autores principales: van den Berge, Mandy, van der Beek, Allard J., Türkeli, Rukiye, van Kalken, Marike, Hulsegge, Gerben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068657/
https://www.ncbi.nlm.nih.gov/pubmed/33409697
http://dx.doi.org/10.1007/s00420-020-01627-1
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author van den Berge, Mandy
van der Beek, Allard J.
Türkeli, Rukiye
van Kalken, Marike
Hulsegge, Gerben
author_facet van den Berge, Mandy
van der Beek, Allard J.
Türkeli, Rukiye
van Kalken, Marike
Hulsegge, Gerben
author_sort van den Berge, Mandy
collection PubMed
description OBJECTIVE: This study investigated associations between the co-existence of multiple types of work-related psychosocial and physical risk factors, and (1) obesity; (2) smoking; and (3) leisure-time physical inactivity. It also aimed to identify sociodemographic characteristics related to clustering of work-related risk factors and lifestyle factors. METHODS: Cross-sectional data on work-related risk factors (e.g., decision authority and repetitive movements) and lifestyle was measured using a standardized questionnaire among 52,563 Dutch workers in health care, services, manufacturing and public sector. Multiple-adjusted logistic regression models assessed associations between the co-existence of multiple types of psychosocial and physical risk factors and lifestyle factors. Additionally, logistic regression models related age, gender and educational level to clustering of risk factors and lifestyle factors. RESULTS: The co-existence of multiple types of work-related psychosocial risk factors was associated with higher odds of smoking and being physically inactive. For example, workers exposed to three psychosocial risk factors had a 1.55 times higher odds of being physically inactive (95%CI: 1.42–1.70) compared to unexposed workers. A higher number of physical risk factors was also significantly associated with higher odds of smoking and obesity. The co-existence of multiple types of physical risk factors was not associated with higher odds of physical inactivity. Clustering of work-related risk factors and at least one unhealthy lifestyle factor occurred in particular among workers with low educational level. CONCLUSIONS: Results imply that interventions are needed that focus on workers with a low educational level and address work-related physical and psychosocial risk factors as well as lifestyle. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-020-01627-1.
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spelling pubmed-80686572021-05-05 Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity van den Berge, Mandy van der Beek, Allard J. Türkeli, Rukiye van Kalken, Marike Hulsegge, Gerben Int Arch Occup Environ Health Original Article OBJECTIVE: This study investigated associations between the co-existence of multiple types of work-related psychosocial and physical risk factors, and (1) obesity; (2) smoking; and (3) leisure-time physical inactivity. It also aimed to identify sociodemographic characteristics related to clustering of work-related risk factors and lifestyle factors. METHODS: Cross-sectional data on work-related risk factors (e.g., decision authority and repetitive movements) and lifestyle was measured using a standardized questionnaire among 52,563 Dutch workers in health care, services, manufacturing and public sector. Multiple-adjusted logistic regression models assessed associations between the co-existence of multiple types of psychosocial and physical risk factors and lifestyle factors. Additionally, logistic regression models related age, gender and educational level to clustering of risk factors and lifestyle factors. RESULTS: The co-existence of multiple types of work-related psychosocial risk factors was associated with higher odds of smoking and being physically inactive. For example, workers exposed to three psychosocial risk factors had a 1.55 times higher odds of being physically inactive (95%CI: 1.42–1.70) compared to unexposed workers. A higher number of physical risk factors was also significantly associated with higher odds of smoking and obesity. The co-existence of multiple types of physical risk factors was not associated with higher odds of physical inactivity. Clustering of work-related risk factors and at least one unhealthy lifestyle factor occurred in particular among workers with low educational level. CONCLUSIONS: Results imply that interventions are needed that focus on workers with a low educational level and address work-related physical and psychosocial risk factors as well as lifestyle. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00420-020-01627-1. Springer Berlin Heidelberg 2021-01-06 2021 /pmc/articles/PMC8068657/ /pubmed/33409697 http://dx.doi.org/10.1007/s00420-020-01627-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
van den Berge, Mandy
van der Beek, Allard J.
Türkeli, Rukiye
van Kalken, Marike
Hulsegge, Gerben
Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title_full Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title_fullStr Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title_full_unstemmed Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title_short Work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
title_sort work-related physical and psychosocial risk factors cluster with obesity, smoking and physical inactivity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068657/
https://www.ncbi.nlm.nih.gov/pubmed/33409697
http://dx.doi.org/10.1007/s00420-020-01627-1
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