Vulnerability profiles of workers and the relation with burnout symptoms: results from the Netherlands working conditions survey

Introduction Unfavorable working conditions may place workers in a vulnerable position in the labour market, but studies on the clustering of these factors and their relation to burnout symptoms are lacking. This study aims to identify subgroups of workers in potentially vulnerable positions in the...

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Veröffentlicht in:International archives of occupational and environmental health 2024-08, Vol.97 (6), p.651-660
Hauptverfasser: Bouwens, Luuk, van Zon, Sander K.R., Peijen, Roy, Vooijs, Marloes
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container_issue 6
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creator Bouwens, Luuk
van Zon, Sander K.R.
Peijen, Roy
Vooijs, Marloes
description Introduction Unfavorable working conditions may place workers in a vulnerable position in the labour market, but studies on the clustering of these factors and their relation to burnout symptoms are lacking. This study aims to identify subgroups of workers in potentially vulnerable positions in the labour market and examine whether burnout symptoms differ across the established subgroups. Methods This study utilizes cross-sectional data from 2019 of the Netherlands Working Conditions Survey (n = 55,283). Working conditions included employment contracts, working hours, multiple jobs, tenure, physical strain, autonomy, and workload. Burnout symptoms were measured with five items on a 7-point Likert scale. Latent Class Analysis was used to identify vulnerability subgroups based on working conditions and educational level. Wilcoxon rank-sum tests were used to examine whether burnout symptoms differed between the identified subgroups. Results Three out of nine subgroups (i.e., classes 4, 6, and 7) presented combinations of multiple unfavourable working conditions. The vulnerability of class 4, characterized by low educational level, physically demanding work, low autonomy, and a high workload, was underscored by a significantly higher burnout symptom score (M = 2.91;SD = 0.97) compared to all other subgroups. Subgroups 3 (M = 2.69;SD = 1.43) and 8 (M = 2.41;SD = 1.41), without striking unfavourable conditions, had the second and third highest scores on burnout symptoms. Conclusions Determining vulnerability in the labour market is not straightforward as not all profiles that presented clusters of unfavourable working conditions scored high on burnout symptoms, and vice versa. Future research should investigate whether findings are similar to other mental health outcomes.
doi_str_mv 10.1007/s00420-024-02071-1
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This study aims to identify subgroups of workers in potentially vulnerable positions in the labour market and examine whether burnout symptoms differ across the established subgroups. Methods This study utilizes cross-sectional data from 2019 of the Netherlands Working Conditions Survey (n = 55,283). Working conditions included employment contracts, working hours, multiple jobs, tenure, physical strain, autonomy, and workload. Burnout symptoms were measured with five items on a 7-point Likert scale. Latent Class Analysis was used to identify vulnerability subgroups based on working conditions and educational level. Wilcoxon rank-sum tests were used to examine whether burnout symptoms differed between the identified subgroups. Results Three out of nine subgroups (i.e., classes 4, 6, and 7) presented combinations of multiple unfavourable working conditions. The vulnerability of class 4, characterized by low educational level, physically demanding work, low autonomy, and a high workload, was underscored by a significantly higher burnout symptom score (M = 2.91;SD = 0.97) compared to all other subgroups. Subgroups 3 (M = 2.69;SD = 1.43) and 8 (M = 2.41;SD = 1.41), without striking unfavourable conditions, had the second and third highest scores on burnout symptoms. Conclusions Determining vulnerability in the labour market is not straightforward as not all profiles that presented clusters of unfavourable working conditions scored high on burnout symptoms, and vice versa. Future research should investigate whether findings are similar to other mental health outcomes.</description><identifier>ISSN: 0340-0131</identifier><identifier>ISSN: 1432-1246</identifier><identifier>EISSN: 1432-1246</identifier><identifier>DOI: 10.1007/s00420-024-02071-1</identifier><identifier>PMID: 38797814</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Archives &amp; records ; Autonomy ; Burnout ; Burnout, Professional - epidemiology ; Burnout, Professional - psychology ; Clustering ; Cross-Sectional Studies ; Earth and Environmental Science ; Education ; Educational Status ; Employment ; Employment - psychology ; Employment - statistics &amp; numerical data ; Employment contracts ; Environment ; Environmental Health ; Female ; Humans ; Labor market ; Male ; Mental disorders ; Mental health ; Middle Aged ; Netherlands - epidemiology ; Occupational Medicine/Industrial Medicine ; Original ; Original Article ; Participation ; Rehabilitation ; Subgroups ; Surveys ; Surveys and Questionnaires ; Tenure ; Workers ; Working Conditions ; Working hours ; Workload ; Workload - psychology ; Workloads ; Workplace - psychology ; Young Adult</subject><ispartof>International archives of occupational and environmental health, 2024-08, Vol.97 (6), p.651-660</ispartof><rights>The Author(s) 2024</rights><rights>2024. 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This study aims to identify subgroups of workers in potentially vulnerable positions in the labour market and examine whether burnout symptoms differ across the established subgroups. Methods This study utilizes cross-sectional data from 2019 of the Netherlands Working Conditions Survey (n = 55,283). Working conditions included employment contracts, working hours, multiple jobs, tenure, physical strain, autonomy, and workload. Burnout symptoms were measured with five items on a 7-point Likert scale. Latent Class Analysis was used to identify vulnerability subgroups based on working conditions and educational level. Wilcoxon rank-sum tests were used to examine whether burnout symptoms differed between the identified subgroups. Results Three out of nine subgroups (i.e., classes 4, 6, and 7) presented combinations of multiple unfavourable working conditions. The vulnerability of class 4, characterized by low educational level, physically demanding work, low autonomy, and a high workload, was underscored by a significantly higher burnout symptom score (M = 2.91;SD = 0.97) compared to all other subgroups. Subgroups 3 (M = 2.69;SD = 1.43) and 8 (M = 2.41;SD = 1.41), without striking unfavourable conditions, had the second and third highest scores on burnout symptoms. Conclusions Determining vulnerability in the labour market is not straightforward as not all profiles that presented clusters of unfavourable working conditions scored high on burnout symptoms, and vice versa. 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This study aims to identify subgroups of workers in potentially vulnerable positions in the labour market and examine whether burnout symptoms differ across the established subgroups. Methods This study utilizes cross-sectional data from 2019 of the Netherlands Working Conditions Survey (n = 55,283). Working conditions included employment contracts, working hours, multiple jobs, tenure, physical strain, autonomy, and workload. Burnout symptoms were measured with five items on a 7-point Likert scale. Latent Class Analysis was used to identify vulnerability subgroups based on working conditions and educational level. Wilcoxon rank-sum tests were used to examine whether burnout symptoms differed between the identified subgroups. Results Three out of nine subgroups (i.e., classes 4, 6, and 7) presented combinations of multiple unfavourable working conditions. The vulnerability of class 4, characterized by low educational level, physically demanding work, low autonomy, and a high workload, was underscored by a significantly higher burnout symptom score (M = 2.91;SD = 0.97) compared to all other subgroups. Subgroups 3 (M = 2.69;SD = 1.43) and 8 (M = 2.41;SD = 1.41), without striking unfavourable conditions, had the second and third highest scores on burnout symptoms. Conclusions Determining vulnerability in the labour market is not straightforward as not all profiles that presented clusters of unfavourable working conditions scored high on burnout symptoms, and vice versa. Future research should investigate whether findings are similar to other mental health outcomes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38797814</pmid><doi>10.1007/s00420-024-02071-1</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1956-1225</orcidid><orcidid>https://orcid.org/0000-0002-1563-5768</orcidid><orcidid>https://orcid.org/0000-0002-5556-3340</orcidid><orcidid>https://orcid.org/0009-0000-4306-2162</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; SpringerNature Journals
subjects Adult
Archives & records
Autonomy
Burnout
Burnout, Professional - epidemiology
Burnout, Professional - psychology
Clustering
Cross-Sectional Studies
Earth and Environmental Science
Education
Educational Status
Employment
Employment - psychology
Employment - statistics & numerical data
Employment contracts
Environment
Environmental Health
Female
Humans
Labor market
Male
Mental disorders
Mental health
Middle Aged
Netherlands - epidemiology
Occupational Medicine/Industrial Medicine
Original
Original Article
Participation
Rehabilitation
Subgroups
Surveys
Surveys and Questionnaires
Tenure
Workers
Working Conditions
Working hours
Workload
Workload - psychology
Workloads
Workplace - psychology
Young Adult
title Vulnerability profiles of workers and the relation with burnout symptoms: results from the Netherlands working conditions survey
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