
@article{ref1,
title="Post-Concussion Symptom Catastrophizing Scale: preliminary reliability and validity analysis of cross-sectional data",
journal="American journal of physical medicine and rehabilitation",
year="2022",
author="Buzzanca, Katherine E. and Addeo, Russell and Lahey, Sarah M. and Houck, Zachary and Beneciuk, Jason M.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: Describe cross-sectional relationships between post-concussion symptom catastrophizing and patient-level factors in a post-concussion cohort. <br><br>DESIGN: This cross-sectional study was conducted in an outpatient rehabilitation hospital concussion clinic and consisted of adults undergoing a neuropsychological evaluation. Cronbach's alpha (α) assessed internal consistency for PCS-CS (Post-Concussion Symptom Catastrophizing Scale) total scores. Pearson r correlation coefficients assessed construct validity among emotional function measures and PCS-CS total scores at initial evaluation. Hierarchical regression models were used to assess criterion validity. <br><br>RESULTS: Excellent internal consistency was observed for PCS-CS total scores (α =.953). The PCS-CS was significantly correlated with cause of injury (r = -.223, p <.01), litigation consideration (r =.309, p <.05), and history of psychiatric illness (r =.198, p <.01). The PCS-CS was significantly correlated with emotional functioning [PHQ-9 (r =.600, p <.05); GAD7 (r =.602 p <.05)], symptom rating [SCAT5 (r =.477, p <.05)], and cognitive functioning [RBANS (r = -.238, p <.05)] measures. The final regression model explained 64.7% variance in PCS-CS total scores and included the GAD-7 (b = 1.038, β = 0.466, p = 0.001) as a unique predictor. <br><br>CONCLUSION: Results indicate strong, positive relationships between anxiety and catastrophizing at initial neuropsychological evaluation in a post-concussion sample.<p /> <p>Language: en</p>",
language="en",
issn="0894-9115",
doi="10.1097/PHM.0000000000002040",
url="http://dx.doi.org/10.1097/PHM.0000000000002040"
}