Melloh, Markus; Elfering, Achim; Egli Presland, Carmen; Röder, Christoph; Hendrick, Paul; Darlow, Ben; Theis, Jean-Claude (2011). Predicting the transition from acute to persistent low back pain. Australasian epidemiologist, 18(2), pp. 35-36. Melbourne: Informit
Full text not available from this repository.BACKGROUND:
Most people experience low back pain (LBP) at least once in their lifetime. Only a minority of them go on to develop persistent LBP. However, the socioeconomic costs of persistent LBP significantly exceed the costs of the initial acute LBP episode.
AIMS:
To identify factors that influence the progression of acute LBP to the persistent state at an early stage.
METHODS:
Prospective inception cohort study of patients attending a health practitioner for their first episode of acute LBP or recurrent LBP after a pain free period of at least 6 months. Patients were assessed at baseline addressing occupational and psychological factors as well as pain, disability, quality of life and physical activity and followed up at 3, 6, 12 weeks and 6 months. Variables were combined to the three indices 'working condition', 'depression and maladaptive cognitions' and 'pain and quality of life'.
RESULTS:
The index 'depression and maladaptive cognitions' was found to be a significant baseline predictor for persistent LBP up to 6 months (OR 5.1; 95% CI: 1.04-25.1). Overall predictive accuracy of the model was 81%.
CONCLUSIONS:
In this study of patients with acute LBP in a primary care setting psychological factors at baseline correlated with a progression to persistent LBP up to 6 months. The benefit of including factors such as 'depression and maladaptive cognition' in screening tools is that these factors can be addressed in primary and secondary prevention.
Item Type: |
Journal Article (Further Contribution) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Evaluative Research into Orthopaedic Surgery |
UniBE Contributor: |
Melloh, Markus, Röder, Christoph |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1327-8835 |
Publisher: |
Informit |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:19 |
Last Modified: |
05 Dec 2022 14:05 |
URI: |
https://boris.unibe.ch/id/eprint/5927 (FactScience: 210811) |
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