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Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm
Published on: October 3, 2020
Worker recovery expectations and fear-avoidance predict work disability in a population-based workers' compensation
Judith A Turner1, Gary Franklin, Deborah Fulton-Kehoe
1Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195-6560, USA. jturner@u.washington.edu
Spine
|March 17, 2006
Summary
Predictors of prolonged work disability after back pain include high pain, low expectations for recovery, and fear of work-related harm. These factors identify individuals at risk for chronic disability.
Area of Science:
- Occupational health
- Epidemiology
- Musculoskeletal disorders
Background:
- Prolonged work disability from back pain is a significant issue.
- Previous studies on risk factors have been inconsistent and limited in scope.
- Psychosocial factors require further prospective investigation.
Purpose of the Study:
- To identify demographic, pain, disability, and psychosocial predictors of 6-month work disability.
- To analyze factors assessed shortly after the onset of work-related back pain.
- To understand risk factors for chronic work disability.
Main Methods:
- Prospective, population-based cohort study of 1,068 workers with back pain claims.
- Telephone interviews conducted median 18 days post-claim for demographic, pain, disability, and psychosocial data.
- Administrative data used to determine 6-month work disability status.
Main Results:
- 18.4% of workers experienced 6-month work disability.
- Baseline pain, disability, age, race, and education predicted disability.
- High work fear-avoidance and low recovery expectations were significant independent predictors.
Conclusions:
- Acute work-related back pain with high pain and disability, low recovery expectations, and fear of work-related harm are risk factors for chronic disability.
- These findings highlight the importance of psychosocial factors in predicting work disability outcomes.
- Early identification of these risk factors can inform targeted interventions.
