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Burnout levels and self-rated health prospectively predict future long-term sickness absence: a study among female health professionals.
Linnaeus University, Faculty of Health, Social Work and Behavioural Sciences, School of Health and Caring Sciences. Karolinska Institutet.ORCID iD: 0000-0002-3790-1393
Karolinska Institutet.
Utrecht University.
Karolinska Institutet.
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2011 (English)In: Journal of Occupational and Environmental Medicine, ISSN 1076-2752, E-ISSN 1536-5948, Vol. 53, no 7, p. 788-793Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: This study investigates the predictive validity of the Oldenburg Burnout Inventory (OLBI), and of three health indicators (depression, anxiety, and self-rated health), for long-term sickness absence (LTSA).

METHODS: Questionnaires were sent to all employees in a Swedish County Council (N = 6118), and the overall response rate was 65% (N = 3976). As 82% were women, only women were included in the study. Certified LTSA data were collected.

RESULTS: Logistic regression analyses showed that high scores on exhaustion, depression, and poor self-rated health increased the risk of future LTSA (≥90 days). Support for the proposed two-factorial structure of the OLBI was found, including the dimensions of exhaustion and disengagement from work.

CONCLUSION: Using burnout measures might be useful to identify those at risk for LTSA, and to enable preventive solutions in organizations.

Place, publisher, year, edition, pages
2011. Vol. 53, no 7, p. 788-793
National Category
Medical and Health Sciences
Research subject
Health and Caring Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-37689DOI: 10.1097/JOM.0b013e318222b1dcISI: 000292539600016PubMedID: 21691218Scopus ID: 2-s2.0-79960834325OAI: oai:DiVA.org:lnu-37689DiVA, id: diva2:756091
Note

The authors thank the County Council of Kalmar and the Afa insurance company for financial support.

Available from: 2014-10-16 Created: 2014-10-16 Last updated: 2022-07-13Bibliographically approved

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Peterson, Ulla

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CiteExportLink to record
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