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 |
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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 |
format | Article |
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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.</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 & 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</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. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c356t-b7cc394dcce2fca6ba8d720087dfc8b44517d3ef7230c127ddc571493b900d673</cites><orcidid>0000-0002-1956-1225 ; 0000-0002-1563-5768 ; 0000-0002-5556-3340 ; 0009-0000-4306-2162</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00420-024-02071-1$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00420-024-02071-1$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38797814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bouwens, Luuk</creatorcontrib><creatorcontrib>van Zon, Sander K.R.</creatorcontrib><creatorcontrib>Peijen, Roy</creatorcontrib><creatorcontrib>Vooijs, Marloes</creatorcontrib><title>Vulnerability profiles of workers and the relation with burnout symptoms: results from the Netherlands working conditions survey</title><title>International archives of occupational and environmental health</title><addtitle>Int Arch Occup Environ Health</addtitle><addtitle>Int Arch Occup Environ Health</addtitle><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.</description><subject>Adult</subject><subject>Archives & records</subject><subject>Autonomy</subject><subject>Burnout</subject><subject>Burnout, Professional - epidemiology</subject><subject>Burnout, Professional - psychology</subject><subject>Clustering</subject><subject>Cross-Sectional Studies</subject><subject>Earth and Environmental Science</subject><subject>Education</subject><subject>Educational Status</subject><subject>Employment</subject><subject>Employment - psychology</subject><subject>Employment - statistics & numerical data</subject><subject>Employment contracts</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Female</subject><subject>Humans</subject><subject>Labor market</subject><subject>Male</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Netherlands - epidemiology</subject><subject>Occupational Medicine/Industrial Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Participation</subject><subject>Rehabilitation</subject><subject>Subgroups</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Tenure</subject><subject>Workers</subject><subject>Working Conditions</subject><subject>Working hours</subject><subject>Workload</subject><subject>Workload - psychology</subject><subject>Workloads</subject><subject>Workplace - psychology</subject><subject>Young Adult</subject><issn>0340-0131</issn><issn>1432-1246</issn><issn>1432-1246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9UU1v1DAQtRAV3Rb-AAdkiQuX0HHsxAkXhCoKSBVcgKuV2M6uSxIvHqfV3vjpTHdL-ThwsH14H-M3j7GnAl4KAH2GAKqEAkpFB7QoxAO2EkqWhShV_ZCtQCqChRTH7ATxCkDoWstH7Fg2utWNUCv24-syzj51fRhD3vFtikMYPfI48JuYvvmEvJsdzxvPkx-7HOLMb0Le8H5Jc1wyx920zXHCV4TjMmbkQ4rTXvDR051G0uPeLMxrbuPswq0LclzStd89ZkdDN6J_cveesi8Xbz-fvy8uP737cP7msrCyqnPRa2tlq5y1vhxsV_dd43QJ0Gg32KZXqhLaST_oUoIVpXbOVlqoVvYtgKPUp-z1wXe79JN31s85daPZpjB1aWdiF8zfyBw2Zh2vjaBlVkq05PDiziHF74vHbKaA1o8U0McFjYQadAVUBVGf_0O9irQvykcs3dZK1I0iVnlg2RQRkx_ufyPA3DZsDg0batjsGzaCRM_-zHEv-VUpEeSBgATNa59-z_6P7U-DDbVq</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Bouwens, Luuk</creator><creator>van Zon, Sander K.R.</creator><creator>Peijen, Roy</creator><creator>Vooijs, Marloes</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7T5</scope><scope>7TM</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><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></search><sort><creationdate>20240801</creationdate><title>Vulnerability profiles of workers and the relation with burnout symptoms: results from the Netherlands working conditions survey</title><author>Bouwens, Luuk ; van Zon, Sander K.R. ; Peijen, Roy ; Vooijs, Marloes</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-b7cc394dcce2fca6ba8d720087dfc8b44517d3ef7230c127ddc571493b900d673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Archives & records</topic><topic>Autonomy</topic><topic>Burnout</topic><topic>Burnout, Professional - epidemiology</topic><topic>Burnout, Professional - psychology</topic><topic>Clustering</topic><topic>Cross-Sectional Studies</topic><topic>Earth and Environmental Science</topic><topic>Education</topic><topic>Educational Status</topic><topic>Employment</topic><topic>Employment - psychology</topic><topic>Employment - statistics & numerical data</topic><topic>Employment contracts</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Female</topic><topic>Humans</topic><topic>Labor market</topic><topic>Male</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Netherlands - epidemiology</topic><topic>Occupational Medicine/Industrial Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Participation</topic><topic>Rehabilitation</topic><topic>Subgroups</topic><topic>Surveys</topic><topic>Surveys and Questionnaires</topic><topic>Tenure</topic><topic>Workers</topic><topic>Working Conditions</topic><topic>Working hours</topic><topic>Workload</topic><topic>Workload - psychology</topic><topic>Workloads</topic><topic>Workplace - psychology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bouwens, Luuk</creatorcontrib><creatorcontrib>van Zon, Sander K.R.</creatorcontrib><creatorcontrib>Peijen, Roy</creatorcontrib><creatorcontrib>Vooijs, Marloes</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International archives of occupational and environmental health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bouwens, Luuk</au><au>van Zon, Sander K.R.</au><au>Peijen, Roy</au><au>Vooijs, Marloes</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vulnerability profiles of workers and the relation with burnout symptoms: results from the Netherlands working conditions survey</atitle><jtitle>International archives of occupational and environmental health</jtitle><stitle>Int Arch Occup Environ Health</stitle><addtitle>Int Arch Occup Environ Health</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>97</volume><issue>6</issue><spage>651</spage><epage>660</epage><pages>651-660</pages><issn>0340-0131</issn><issn>1432-1246</issn><eissn>1432-1246</eissn><abstract>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.</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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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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