Can the Maslach Burnout Inventory and Utrecht Work Engagement Scale be used to screen for risk of long-term sickness absence?

Objectives To investigate the Maslach Burnout Inventory—General Survey (MBI—GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). Methods One-year prospective cohort study including 4,921 employ...

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Published in:International archives of occupational and environmental health Vol. 88; no. 4; pp. 467 - 475
Main Authors: Roelen, C. A. M., van Hoffen, M. F. A., Groothoff, J. W., de Bruin, J., Schaufeli, W. B., van Rhenen, W.
Format: Journal Article
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Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-05-2015
Springer Nature B.V
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Abstract Objectives To investigate the Maslach Burnout Inventory—General Survey (MBI—GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). Methods One-year prospective cohort study including 4,921 employees participating in occupational health surveys in the period 2008–2010. The MBI—GS and UWES were part of the health survey questionnaire and LTSA in the year following the health survey was retrieved from an occupational health register. Associations of baseline MBI—GS and UWES scores with LTSA during 1-year follow-up were stratified by the cause (mental, musculoskeletal, and other somatic illness) of LTSA. Discrimination was assessed by the area (AUC) under the receiver operating characteristic curve and considered practically useful for AUC ≥0.75. Results During 1-year follow-up, 103 employees (2 %) had LTSA due to mental ( N  = 43), musculoskeletal ( N  = 31), or other somatic ( N  = 29) illness. MBI—GS scores were positively and UWES scores negatively associated with mental LTSA, but not musculoskeletal or other somatic LTSA. Discrimination between employees at high and low risk of mental LTSA was moderate: AUC = 0.68 for the MBI—GS and AUC = 0.70 for the UWES. Discrimination did not improve when the MBI—GS and UWES were used simultaneously. Conclusion The MBI—GS and UWES predicted future mental LTSA in non-sicklisted employees, but discrimination was not practically useful for identifying employees at high risk of LTSA. However, both instruments could be used to select employees for further assessment of mental LTSA risk.
AbstractList Objectives: To investigate the Maslach Burnout Inventory-General Survey (MBI-GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). Methods: One-year prospective cohort study including 4,921 employees participating in occupational health surveys in the period 2008-2010. The MBI-GS and UWES were part of the health survey questionnaire and LTSA in the year following the health survey was retrieved from an occupational health register. Associations of baseline MBI-GS and UWES scores with LTSA during 1-year follow-up were stratified by the cause (mental, musculoskeletal, and other somatic illness) of LTSA. Discrimination was assessed by the area (AUC) under the receiver operating characteristic curve and considered practically useful for AUC greater than or equal to 0.75. Results: During 1-year follow-up, 103 employees (2 %) had LTSA due to mental (N = 43), musculoskeletal (N = 31), or other somatic (N = 29) illness. MBI-GS scores were positively and UWES scores negatively associated with mental LTSA, but not musculoskeletal or other somatic LTSA. Discrimination between employees at high and low risk of mental LTSA was moderate: AUC = 0.68 for the MBI-GS and AUC = 0.70 for the UWES. Discrimination did not improve when the MBI-GS and UWES were used simultaneously. Conclusion: The MBI-GS and UWES predicted future mental LTSA in non-sicklisted employees, but discrimination was not practically useful for identifying employees at high risk of LTSA. However, both instruments could be used to select employees for further assessment of mental LTSA risk.
To investigate the Maslach Burnout Inventory-General Survey (MBI-GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). One-year prospective cohort study including 4,921 employees participating in occupational health surveys in the period 2008-2010. The MBI-GS and UWES were part of the health survey questionnaire and LTSA in the year following the health survey was retrieved from an occupational health register. Associations of baseline MBI-GS and UWES scores with LTSA during 1-year follow-up were stratified by the cause (mental, musculoskeletal, and other somatic illness) of LTSA. Discrimination was assessed by the area (AUC) under the receiver operating characteristic curve and considered practically useful for AUC ≥0.75. During 1-year follow-up, 103 employees (2%) had LTSA due to mental (N = 43), musculoskeletal (N = 31), or other somatic (N = 29) illness. MBI-GS scores were positively and UWES scores negatively associated with mental LTSA, but not musculoskeletal or other somatic LTSA. Discrimination between employees at high and low risk of mental LTSA was moderate: AUC = 0.68 for the MBI-GS and AUC = 0.70 for the UWES. Discrimination did not improve when the MBI-GS and UWES were used simultaneously. The MBI-GS and UWES predicted future mental LTSA in non-sicklisted employees, but discrimination was not practically useful for identifying employees at high risk of LTSA. However, both instruments could be used to select employees for further assessment of mental LTSA risk.
Objectives To investigate the Maslach Burnout Inventory—General Survey (MBI—GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). Methods One-year prospective cohort study including 4,921 employees participating in occupational health surveys in the period 2008–2010. The MBI—GS and UWES were part of the health survey questionnaire and LTSA in the year following the health survey was retrieved from an occupational health register. Associations of baseline MBI—GS and UWES scores with LTSA during 1-year follow-up were stratified by the cause (mental, musculoskeletal, and other somatic illness) of LTSA. Discrimination was assessed by the area (AUC) under the receiver operating characteristic curve and considered practically useful for AUC ≥0.75. Results During 1-year follow-up, 103 employees (2 %) had LTSA due to mental ( N  = 43), musculoskeletal ( N  = 31), or other somatic ( N  = 29) illness. MBI—GS scores were positively and UWES scores negatively associated with mental LTSA, but not musculoskeletal or other somatic LTSA. Discrimination between employees at high and low risk of mental LTSA was moderate: AUC = 0.68 for the MBI—GS and AUC = 0.70 for the UWES. Discrimination did not improve when the MBI—GS and UWES were used simultaneously. Conclusion The MBI—GS and UWES predicted future mental LTSA in non-sicklisted employees, but discrimination was not practically useful for identifying employees at high risk of LTSA. However, both instruments could be used to select employees for further assessment of mental LTSA risk.
To investigate the Maslach Burnout Inventory--General Survey (MBI--GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted employees at increased risk of long-term sickness absence (LTSA). One-year prospective cohort study including 4,921 employees participating in occupational health surveys in the period 2008-2010. The MBI--GS and UWES were part of the health survey questionnaire and LTSA in the year following the health survey was retrieved from an occupational health register. Associations of baseline MBI--GS and UWES scores with LTSA during 1-year follow-up were stratified by the cause (mental, musculoskeletal, and other somatic illness) of LTSA. Discrimination was assessed by the area (AUC) under the receiver operating characteristic curve and considered practically useful for AUC >=0.75. During 1-year follow-up, 103 employees (2 %) had LTSA due to mental (N = 43), musculoskeletal (N = 31), or other somatic (N = 29) illness. MBI--GS scores were positively and UWES scores negatively associated with mental LTSA, but not musculoskeletal or other somatic LTSA. Discrimination between employees at high and low risk of mental LTSA was moderate: AUC = 0.68 for the MBI--GS and AUC = 0.70 for the UWES. Discrimination did not improve when the MBI--GS and UWES were used simultaneously. The MBI--GS and UWES predicted future mental LTSA in non-sicklisted employees, but discrimination was not practically useful for identifying employees at high risk of LTSA. However, both instruments could be used to select employees for further assessment of mental LTSA risk.
Author Groothoff, J. W.
de Bruin, J.
van Hoffen, M. F. A.
Roelen, C. A. M.
Schaufeli, W. B.
van Rhenen, W.
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  organization: ArboNed Occupational Health Service, Center for Leadership and Management Development, Business University Nyenrode
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Keywords Sick leave
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Snippet Objectives To investigate the Maslach Burnout Inventory—General Survey (MBI—GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify...
To investigate the Maslach Burnout Inventory-General Survey (MBI-GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify non-sicklisted...
To investigate the Maslach Burnout Inventory--General Survey (MBI--GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify...
Objectives: To investigate the Maslach Burnout Inventory-General Survey (MBI-GS) and the Utrecht Work Engagement Scale (UWES) for their ability to identify...
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pubmed
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Publisher
StartPage 467
SubjectTerms Absenteeism
Adult
Area Under Curve
Burnout
Burnout, Professional - epidemiology
Earth and Environmental Science
Environment
Environmental Health
Female
Follow-Up Studies
Health Status Indicators
Humans
Male
Mental Disorders - epidemiology
Mental Disorders - etiology
Mental health
Musculoskeletal Diseases - epidemiology
Musculoskeletal Diseases - etiology
Netherlands
Occupational health
Occupational Medicine/Industrial Medicine
Original Article
Polls & surveys
Prospective Studies
Rehabilitation
Risk
Risk factors
Sick leave
Sick Leave - statistics & numerical data
Surveys and Questionnaires
Title Can the Maslach Burnout Inventory and Utrecht Work Engagement Scale be used to screen for risk of long-term sickness absence?
URI https://link.springer.com/article/10.1007/s00420-014-0981-2
https://www.ncbi.nlm.nih.gov/pubmed/25212752
https://www.proquest.com/docview/1663804166
https://search.proquest.com/docview/1668246955
Volume 88
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