TY - JOUR
T1 - Group Differences in Postconcussion Cognitive, Physical, Sleep-Arousal, and Affective Symptom Subscales in High School and Collegiate Athletes by Race, Gender, and Competitive Level
AU - Wallace, Jessica
AU - Karr, Justin E.
AU - Yengo-Kahn, Aaron
AU - Loftin, Megan
AU - Anand, Malini
AU - Hibbler, Tamaria
AU - Brewer, Claire
AU - Covassin, Tracey
N1 - Publisher Copyright:
© 2023 Lippincott Williams and Wilkins. All rights reserved.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Objective: Prior psychometric research has identified symptom subscales for the Post-Concussion Symptom Scale (PCSS) based on confirmatory factor analysis (CFA), including cognitive, physical, sleep-arousal, and affective symptom factors. Study objectives included: (1) replicate the 4-factor PCSS model in a diverse sample of athletes with concussion, (2) test the model for invariance across race, gender, and competitive level, and (3) compare symptom subscale and total symptom scores across concussed groups with established invariance. Setting: Three regional concussion care centers. Participants: A total of 400 athletes who completed the PCSS within 21 days of concussion (64% boys/men, 35% Black, and 69.5% collegiate athletes). Design: Cross-sectional. Main Measures: A CFA tested the 4-factor model and measurement invariance testing was performed across racial, competitive level, and gender groups. Symptom subscales and total symptom severity scores were compared based on demographic groupings with established invariance. Results: The 4-factor model fit well and strong invariance was established across all demographic categories, indicating symptom subscales could be meaningfully compared across groups. Black and White athletes differed on total symptoms (U = 15 714.5, P =.021, r = 0.12), sleep-arousal symptoms (U = 15 953.5, P =.026, r = 0.11), and physical symptoms (U = 16 140, P =.051, r = 0.10), with Black athletes reporting slightly more symptoms. Collegiate athletes reported greater total symptom severity (U = 10 748.5, P <.001, r = 0.30), with greater symptom reporting on the cognitive (U = 12 985, P <.001, r = 0.21), sleep-arousal (U = 12 594, P <.001, r = 0.22), physical (U = 10 959, P <.001, r = 0.29), and emotional (U = 14 727.5, P =.005, r = 0.14) symptom subscales. There were no significant differences by gender in the total symptom score or subscale scores. After controlling for time since injury, no racial differences persisted, but a significant difference by competitive level in physical symptom reporting (F = 7.39, P =.00, η2= 0.02) and total symptom reporting (F = 9.16, P =.003, η2= 0.02) remained. Conclusion: These results provide external validation for the PCSS 4-factor model and demonstrate that symptom subscale measurements are comparable across race, genders, and competitive levels. These findings support the continued use of the PCSS and 4-factor model for assessing a diverse population of concussed athletes.
AB - Objective: Prior psychometric research has identified symptom subscales for the Post-Concussion Symptom Scale (PCSS) based on confirmatory factor analysis (CFA), including cognitive, physical, sleep-arousal, and affective symptom factors. Study objectives included: (1) replicate the 4-factor PCSS model in a diverse sample of athletes with concussion, (2) test the model for invariance across race, gender, and competitive level, and (3) compare symptom subscale and total symptom scores across concussed groups with established invariance. Setting: Three regional concussion care centers. Participants: A total of 400 athletes who completed the PCSS within 21 days of concussion (64% boys/men, 35% Black, and 69.5% collegiate athletes). Design: Cross-sectional. Main Measures: A CFA tested the 4-factor model and measurement invariance testing was performed across racial, competitive level, and gender groups. Symptom subscales and total symptom severity scores were compared based on demographic groupings with established invariance. Results: The 4-factor model fit well and strong invariance was established across all demographic categories, indicating symptom subscales could be meaningfully compared across groups. Black and White athletes differed on total symptoms (U = 15 714.5, P =.021, r = 0.12), sleep-arousal symptoms (U = 15 953.5, P =.026, r = 0.11), and physical symptoms (U = 16 140, P =.051, r = 0.10), with Black athletes reporting slightly more symptoms. Collegiate athletes reported greater total symptom severity (U = 10 748.5, P <.001, r = 0.30), with greater symptom reporting on the cognitive (U = 12 985, P <.001, r = 0.21), sleep-arousal (U = 12 594, P <.001, r = 0.22), physical (U = 10 959, P <.001, r = 0.29), and emotional (U = 14 727.5, P =.005, r = 0.14) symptom subscales. There were no significant differences by gender in the total symptom score or subscale scores. After controlling for time since injury, no racial differences persisted, but a significant difference by competitive level in physical symptom reporting (F = 7.39, P =.00, η2= 0.02) and total symptom reporting (F = 9.16, P =.003, η2= 0.02) remained. Conclusion: These results provide external validation for the PCSS 4-factor model and demonstrate that symptom subscale measurements are comparable across race, genders, and competitive levels. These findings support the continued use of the PCSS and 4-factor model for assessing a diverse population of concussed athletes.
KW - African Americans
KW - concussion
KW - factor analysis
KW - postconcussion syndrome
KW - psychometrics
KW - race factors
KW - statistical
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U2 - 10.1097/HTR.0000000000000786
DO - 10.1097/HTR.0000000000000786
M3 - Article
C2 - 36883899
AN - SCOPUS:85149991151
SN - 0885-9701
VL - 38
SP - E136-E145
JO - Journal of Head Trauma Rehabilitation
JF - Journal of Head Trauma Rehabilitation
IS - 2
ER -