In:
American Journal of Physical Medicine & Rehabilitation, Ovid Technologies (Wolters Kluwer Health), Vol. 102, No. 2 ( 2023-2), p. 105-109
Abstract:
The aim of the study was to describe cross-sectional relationships between postconcussion symptom catastrophizing and patient-level factors in a postconcussion cohort. Design This cross-sectional study was conducted in an outpatient rehabilitation hospital concussion clinic and consisted of adults undergoing a neuropsychological evaluation. Cronbach α assessed internal consistency for Post-Concussion Symptom Catastrophizing Scale total scores. Pearson r correlation coefficients assessed construct validity among emotional function measures and Post-Concussion Symptom Catastrophizing Scale total scores at initial evaluation. Hierarchical regression models were used to assess criterion validity. Results Excellent internal consistency was observed for Post-Concussion Symptom Catastrophizing Scale total scores (α = 0.953). The Post-Concussion Symptom Catastrophizing Scale was significantly correlated with cause of injury ( r = −0.223, P 〈 0.01), litigation consideration ( r = 0.309, P 〈 0.05), and history of psychiatric illness ( r = 0.198, P 〈 0.01). The Post-Concussion Symptom Catastrophizing Scale was significantly correlated with emotional functioning (Patient Health Questionnaire [ r = 0.600, P 〈 0.05]; Generalized Anxiety Disorder [ r = 0.602, P 〈 0.05]), symptom rating (Sports Concussion Assessment Tool [Fifth Edition, r = 0.477, P 〈 0.05]), and cognitive functioning (Repeatable Battery for the Assessment of Neuropsychological Status [ r = −0.238, P 〈 0.05]) measures. The final regression model explained 64.7% variance in Post-Concussion Symptom Catastrophizing Scale total scores and included the Generalized Anxiety Disorder ( b = 1.038, β = 0.466, P = 0.001) as a unique predictor. Conclusions Results indicate strong, positive relationships between anxiety and catastrophizing at initial neuropsychological evaluation in a postconcussion sample.
Type of Medium:
Online Resource
ISSN:
1537-7385
,
0894-9115
DOI:
10.1097/PHM.0000000000002040
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2023
detail.hit.zdb_id:
2272463-1
detail.hit.zdb_id:
2049617-5
SSG:
31
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