» Articles » PMID: 20420962

Cognitive Determinants of Pain and Disability in Patients with Chronic Whiplash-associated Disorder: a Cross-sectional Observational Study

Overview
Journal Physiotherapy
Date 2010 Apr 28
PMID 20420962
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To delineate the relative extent to which specific cognitive factors are related to levels of pain and disability in patients with chronic whiplash-associated disorder.

Design: Cross-sectional observation study.

Setting: Three secondary care physiotherapy departments in the Greater Manchester region of the UK.

Participants: All patients with chronic whiplash-associated disorder referred to the participating departments were invited to take part in the study. In total, 124 patients were invited to participate, and 63 (51%) agreed to do so. Complete data were available for 55 (44%) of those invited to participate in the study.

Main Outcome Measures: Pain and disability, as assessed by the Neck Disability Index.

Results: Cognitive factors were strongly related to levels of disability (R(2) change=0.39, P<0.001). Specifically, greater catastrophising (beta=0.41, P<0.01) and lower functional self-efficacy beliefs (beta=-0.47, P<0.001) were significantly related to greater levels of disability. Significant univariate correlations were seen between the cognitive factors and current pain intensity. However, no significant associations were seen between the cognitive factors and current pain intensity in the multivariate analysis.

Conclusions: Interventions which aim to reduce catastrophising and enhance functional self-efficacy beliefs should be included alongside conventional physiotherapy interventions when treating patients with chronic whiplash-associated disorder.

Citing Articles

Neck Disability Index Is Better in Classification of Recovery after Whiplash Injury in Comparison with Ultrasound Shear Wave Elastography of Trapezius Muscle.

Barun B, Barisic I, Krnic A, Benzon B, Vlak T, Aljinovic J Diagnostics (Basel). 2021; 11(11).

PMID: 34829424 PMC: 8622903. DOI: 10.3390/diagnostics11112077.


A classification algorithm to predict chronic pain using both regression and machine learning - A stepwise approach.

Tsai P, Wang C, Zhou Y, Ren J, Jones A, Watts S Appl Nurs Res. 2021; 62:151504.

PMID: 34815000 PMC: 8906500. DOI: 10.1016/j.apnr.2021.151504.


Biopsychosocial factors associated with non-recovery after a minor transport-related injury: A systematic review.

Samoborec S, Ruseckaite R, Ayton D, Evans S PLoS One. 2018; 13(6):e0198352.

PMID: 29894490 PMC: 5997362. DOI: 10.1371/journal.pone.0198352.


The Relation between the Fear-Avoidance Model and Constructs from the Social Cognitive Theory in Acute WAD.

Sandborgh M, Johansson A, Soderlund A Pain Res Manag. 2016; 2016:8281926.

PMID: 27999473 PMC: 5141534. DOI: 10.1155/2016/8281926.


Comparison of pain, kinesiophobia and quality of life in patients with low back and neck pain.

Ulug N, Yakut Y, Alemdaroglu I, Yilmaz O J Phys Ther Sci. 2016; 28(2):665-70.

PMID: 27064399 PMC: 4793030. DOI: 10.1589/jpts.28.665.