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Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain.
- Source :
-
Journal of Occupational & Environmental Medicine . Dec2019, Vol. 61 Issue 12, p1065-1071. 7p. - Publication Year :
- 2019
-
Abstract
- Objective: The aim of this study was to develop a prediction model for the prognosis of sick leave due to low back pain (LBP). Methods: This is a cohort study with 103 employees sick-listed due to non-specific LBP and spinal disc herniation. A prediction model was developed based on questionnaire data and registered sick leave data with follow up of 180 days. Results: At follow up 31 (30.1%) employees were still sick-listed due to LBP. Forward selection procedure resulted in a model with: catastrophizing, musculoskeletal work load, and disability. The explained variance was 27.3%, calibration was adequate and discrimination was fair with area under the ROC-curve (AUC) = 0.761 (interquartile range [IQR]: 0.755-0.770). Conclusion: The prediction model of this study can adequately predict LBP sick leave after 180 days and could be used for employees sick listed due LBP. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10762752
- Volume :
- 61
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Journal of Occupational & Environmental Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 140946759
- Full Text :
- https://doi.org/10.1097/JOM.0000000000001749