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Papers of the Week
Investigating the Causal Mechanisms of Symptom Recovery in Chronic Whiplash Associated Disorders Using Bayesian Networks.
Abstract
The present study's objective is to understand the causal mechanisms underpinning the recovery of individuals with whiplash-associated disorders (WAD). We applied Bayesian Networks (BN) to answer two study aims: (1) to identify the causal mechanism(s) of recovery underpinning neck-specific exercise, and (2) quantify if the cyclical pathway of the fear avoidance model (FAM) is supported by the present data.