Archives of Clinical Neuropsychology · 2018 · 23 citations · 35 references
MedicinePsychologySports MedicinePsychometricsRehabilitationSport PsychologyConcussion AssessmentNeurocognitive AssessmentPsychological TestingSport-related ConcussionTraumatic Brain InjuryConstruct Validity AssessmentDepression Symptom AssessmentPatient-reported Symptom ClustersPost-concussion Symptom ScalePsychological Impact Of ConcussionReceiver Operating Characteristic AnalysisSymptom Cluster IdentificationSymptom Cluster Measurement
OBJECTIVE: The relationship between depression and sports-related concussion is complex and has implications both pre- and post-injury. The current study established the construct validity, convergent and discriminant, of the affective symptom cluster of The Immediate Post-Concussion Assessment and Cognitive Test (ImPACT) post-concussion symptom scale (PCSS) as a screening tool for depression. METHOD: Nine hundred and thirty (M = 695, F = 235) college athletes were assessed at baseline using the ImPACT PCSS and Beck-Depression Inventory-Fast Screen (BDI-FS). Previous factor analysis identified four symptom clusters on the PCSS: affective, physical, cognitive, and sleep. Clinically significant depression was operationalized as a BDI-FS score ≥4. Receiver Operating Characteristic curves (ROC) were used to determine the ideal cutoff, Chi-square tests of independence were calculated to establish convergent validity, and Fisher's r-to-z comparisons were used to establish discriminant validity of the affective symptom cluster. RESULTS: The 90th percentile cutoff yielded the highest sensitivity and specificity on the affective symptom cluster for males (4) and females (6). The correlation between BDI-FS and the 90th percentile cutoff was statistically significantly higher in females (φ = .96) than males (φ = .83), Z = 9.49, p < .001. When correlating the BDI-FS with each PCSS symptom cluster, the correlation with the affective symptom cluster was stronger than its correlation with cognitive, sleep, and physical clusters across gender. DISCUSSION: By utilizing a measure of depression within an existing and commonly used assessment, clinicians can easily screen for depression and identify athletes at risk for complicated recovery even in the absence of a supplemental depression assessment.
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Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller, Jacob Cohen · Technometrics · 1989 · 83.9K citations
Paul McCrory, Willem Meeuwisse, Jiří Dvořák et al. · British Journal of Sports Medicine · 2017 · 3.3K citations · Full text
Medicine, Neurology, Sports Medicine +17
Acute Effects and Recovery Time Following Concussion in Collegiate Football Players
Michael McCrea, Kevin M. Guskiewicz, Stephen W. Marshall et al. · JAMA · 2003 · 1.5K citations
Medicine, Neurology, Sports Medicine +17