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Relationship between job burnout and somatic diseases: a network analysis

Job burnout, characterized by feelings of exhaustion, cynicism and reduced personal efficacy, has been defined as a risk state for the development of diseases, but its association with somatic diseases is underexplored. Study participants were 5671 respondents (mean age 44.1 years, range 18–70; 38.6...

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Autores principales: von Känel, Roland, Princip, Mary, Holzgang, Sarah A., Fuchs, Walther J., van Nuffel, Marc, Pazhenkottil, Aju P., Spiller, Tobias R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595180/
https://www.ncbi.nlm.nih.gov/pubmed/33116176
http://dx.doi.org/10.1038/s41598-020-75611-7
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author von Känel, Roland
Princip, Mary
Holzgang, Sarah A.
Fuchs, Walther J.
van Nuffel, Marc
Pazhenkottil, Aju P.
Spiller, Tobias R.
author_facet von Känel, Roland
Princip, Mary
Holzgang, Sarah A.
Fuchs, Walther J.
van Nuffel, Marc
Pazhenkottil, Aju P.
Spiller, Tobias R.
author_sort von Känel, Roland
collection PubMed
description Job burnout, characterized by feelings of exhaustion, cynicism and reduced personal efficacy, has been defined as a risk state for the development of diseases, but its association with somatic diseases is underexplored. Study participants were 5671 respondents (mean age 44.1 years, range 18–70; 38.6% men) to an online survey of job burnout, using a mobile health web application. Respondents provided data on sociodemographic characteristics, symptoms of burnout, measured with the Maslach Burnout Inventory-General Survey, depressive symptoms, measured with the Profile of Mood States, and 11 categories of somatic diseases. Adjusting for age, sex, educational level, depressive symptoms, and all disease categories included, network analysis showed a significant association of high exhaustion with “high blood pressure” and a category of “other chronic somatic diseases”. Low personal efficacy showed a significant association with “chronic lung diseases”. In network analysis, clinically relevant depressive symptoms were also significantly associated with “high blood pressure”, “other chronic somatic diseases” and “skin diseases”. Logistic regression analysis confirmed these associations. Burnout dimensions were significantly associated with an increased risk for somatic diseases, independently of sociodemographic factors and clinically relevant depressive symptoms. This relationship seems particularly evident for the exhaustion dimension of job burnout.
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spelling pubmed-75951802020-10-29 Relationship between job burnout and somatic diseases: a network analysis von Känel, Roland Princip, Mary Holzgang, Sarah A. Fuchs, Walther J. van Nuffel, Marc Pazhenkottil, Aju P. Spiller, Tobias R. Sci Rep Article Job burnout, characterized by feelings of exhaustion, cynicism and reduced personal efficacy, has been defined as a risk state for the development of diseases, but its association with somatic diseases is underexplored. Study participants were 5671 respondents (mean age 44.1 years, range 18–70; 38.6% men) to an online survey of job burnout, using a mobile health web application. Respondents provided data on sociodemographic characteristics, symptoms of burnout, measured with the Maslach Burnout Inventory-General Survey, depressive symptoms, measured with the Profile of Mood States, and 11 categories of somatic diseases. Adjusting for age, sex, educational level, depressive symptoms, and all disease categories included, network analysis showed a significant association of high exhaustion with “high blood pressure” and a category of “other chronic somatic diseases”. Low personal efficacy showed a significant association with “chronic lung diseases”. In network analysis, clinically relevant depressive symptoms were also significantly associated with “high blood pressure”, “other chronic somatic diseases” and “skin diseases”. Logistic regression analysis confirmed these associations. Burnout dimensions were significantly associated with an increased risk for somatic diseases, independently of sociodemographic factors and clinically relevant depressive symptoms. This relationship seems particularly evident for the exhaustion dimension of job burnout. Nature Publishing Group UK 2020-10-28 /pmc/articles/PMC7595180/ /pubmed/33116176 http://dx.doi.org/10.1038/s41598-020-75611-7 Text en © The Author(s) 2020 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/.
spellingShingle Article
von Känel, Roland
Princip, Mary
Holzgang, Sarah A.
Fuchs, Walther J.
van Nuffel, Marc
Pazhenkottil, Aju P.
Spiller, Tobias R.
Relationship between job burnout and somatic diseases: a network analysis
title Relationship between job burnout and somatic diseases: a network analysis
title_full Relationship between job burnout and somatic diseases: a network analysis
title_fullStr Relationship between job burnout and somatic diseases: a network analysis
title_full_unstemmed Relationship between job burnout and somatic diseases: a network analysis
title_short Relationship between job burnout and somatic diseases: a network analysis
title_sort relationship between job burnout and somatic diseases: a network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595180/
https://www.ncbi.nlm.nih.gov/pubmed/33116176
http://dx.doi.org/10.1038/s41598-020-75611-7
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