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 |
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Main Authors: | , , , , , |
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01-05-2015
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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. |
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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. |
Author_xml | – sequence: 1 givenname: C. A. M. surname: Roelen fullname: Roelen, C. A. M. email: corne.roelen@arboned.nl organization: ArboNed Occupational Health Service, Division of Community and Occupational Medicine, Department of Health Sciences, University Medical Center Groningen, University of Groningen – sequence: 2 givenname: M. F. A. surname: van Hoffen fullname: van Hoffen, M. F. A. organization: ArboNed Occupational Health Service – sequence: 3 givenname: J. W. surname: Groothoff fullname: Groothoff, J. W. organization: Division of Community and Occupational Medicine, Department of Health Sciences, University Medical Center Groningen, University of Groningen – sequence: 4 givenname: J. surname: de Bruin fullname: de Bruin, J. organization: ArboNed Occupational Health Service – sequence: 5 givenname: W. B. surname: Schaufeli fullname: Schaufeli, W. B. organization: Department of Psychology, Utrecht University – sequence: 6 givenname: W. surname: van Rhenen fullname: van Rhenen, W. organization: ArboNed Occupational Health Service, Center for Leadership and Management Development, Business University Nyenrode |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25212752$$D View this record in MEDLINE/PubMed |
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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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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? |
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