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Burnout as a predictor of self-reported sickness absence among human service workers: Prospective findings from three year follow up of the PUMA study
M. Borritz
*
,
R. Rugulies
,
K. B. Christensen
, E. Villadsen, T. S. Kristensen
*
Corresponding author for this work
Klinisk Social Medicin
Department of Public Health
Section of Biostatistics
Undervisning - FSV
117
Citations (Scopus)
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Dive into the research topics of 'Burnout as a predictor of self-reported sickness absence among human service workers: Prospective findings from three year follow up of the PUMA study'. Together they form a unique fingerprint.
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Keyphrases
Sickness Absence
100%
Human Service Professionals
100%
Rate Ratio
15%
Burnout Level
7%
Number of Days
7%
Linear Regression Model
7%
Having children
7%
Scale Parameter
7%
Family Status
7%
Service Sector Organizations
7%
Poisson Regression
7%
Follow-up Survey
7%
Disease Prevalence
7%
Socioeconomic Status
7%
Human Services
7%
Copenhagen Burnout Inventory
7%
Lifestyle Factors
7%
Medicine and Dentistry
Diseases
100%
Burnout
100%
Prospective Study
7%
Linear Regression Analysis
7%
Prevalence
7%
Socioeconomic Status
7%