Daniel J. Rosenblum

Context: Racial identity may associate with clinical outcomes following sport-related concussion (SRC). This study compared clinical outcome scores before and after recovery from a SRC between Black or White college athletes. Design: Prospective cohort. Methods: Participants were self-reported White (n = 61, 18.5 [1.1] y of age) and Black (n = 24, 18.3 [1.1] y of age) NCAA Division 1 college athletes. The revised Head Injury Scale (HIS-r), the Immediate Postconcussion and Cognitive Test (ImPACT) battery, and the Sensory Organization Test (SOT) at baseline (T1), upon symptom resolution (T2) following a diagnosed SRC, and upon establishing a new baseline assessment (T3). Race was collected from paper and electronic medical records. The revised Head Injury Scale total symptom severity, ImPACT’s Verbal Memory, Visual Memory, Visual Motor Speed (VMS), and Reaction Time, and the SOT Equilibrium Score, were compared between groups at each time point. Multivariate analyses of variance (2 [group] × 3 [time]) were used to compare revised Head Injury Scale, ImPACT, and SOT outcome scores. Post hoc analyses consisted of independent and paired sample t tests. Results: A significant main effect for time (λ = 0.66, F_2,82 = 21.55, P < .001, ) was observed for the SOT. White athletes significantly improved on the Equilibrium Score between all time points (all P < .006). Similarly, Black athletes significantly improved on the Equilibrium Score between T1–T2 and T1–T3 (all P < .001). A significant main effect of time was observed for ImPACT’s Verbal Memory, Visual Memory, and VMS outcome scores (all P < .001). VMS improved for White athletes between T1–T2 (P = .02) and T3 (P = .006). Black athletes had improved VMS scores between T1–T3 (P = .015) and T2–T3 (P = .005). A between-group difference was observed for VMS at T2 (P = .004). Conclusions: There was 1 small and not clinically significant difference between groups for the VMS score at T2. Overall, groups performed consistently or improved upon their baseline balance, cognition, and symptom outcome scores at clinically relevant time points following a SRC.

Context: Race has been shown to influence computerized neurocognitive test scores, motor function test scores, and reported symptomology following sport-related concussion (SRC). However, the effect race may have on recovery time following SRC remains unknown. The objective of this study was to determine the influence of race on days until symptom free from SRC in NCAA Division 1 collegiate athletes. Design: Prospective cohort study. Methods: Participants were Black (n = 53 [28% female]) and White (n = 150 [43.3% female]) who were on average 19.0 (1.21) and 20.2 (1.3) years of age, respectively. Data were collected from the 2015–2016 to 2020–2021 collegiate sport seasons. Participants were evaluated before and after an SRC at empirically derived time points. The primary outcome measure was time until symptom free (days). Additional outcomes included baseline and postinjury Immediate Postconcussion Assessment and Cognitive Test and Sensory Organization Test (SOT) scores. A Mann–Whitney U test compared days to symptom free between groups. Immediate Postconcussion Assessment and Cognitive Test and SOT outcome scores were analyzed using a 2 (group) × 2 (time) analysis of variance. Results: White participants had a longer median recovery time (9 d) to symptom free compared with Black participants (6 d [P = .04]). Statistically significant differences were observed between Black 87.3 (9.84) and White 90.4 (8.30) groups for Immediate Postconcussion Assessment and Cognitive Test’s verbal memory composite score (P = .03). Postinjury, White participants scored significantly higher 44.5 (5.63) on visual motor speed compared with Black participants (42.4 (5.90) [P = .02]). Within-group SOT differences between baseline and postinjury testing were observed in both groups (all P < .001). Conclusions: Black collegiate athletes achieved symptom resolution sooner than White athletes. We did not explore underlying sociocultural factors such as socioeconomic status or previous concussion education, which may have influenced our results. Future studies should explore factors that may contextualize these findings.

Background: Several factors such as acute symptom severity, premorbid anxiety, and depression have been associated with concussion recovery. Elevated kinesiophobia has been associated with recovery from musculoskeletal conditions, as well as increased reaction time and vestibular–ocular motor dysfunction following concussion. However, kinesiophobia has yet to be evaluated as a modifier of concussion recovery time. Objectives: This study was designed to evaluate the role of acute kinesiophobia levels on days until clinical recovery in collegiate athletes with concussion. We hypothesized that collegiate athletes with elevated Tampa Scale of Kinesiophobia (TSK) scores would take a greater number of days to achieve clinical recovery compared with athletes with lower values. Methods: Division I collegiate athletes diagnosed with a concussion (N = 113, 19.9 ± 1.5 years, 42% female) participated in this descriptive laboratory study. Participants were assigned to high [≥ 37 (H-TSK, n = 54)] or low [< 37 (L-TSK, n = 59)] TSK groups on the basis of the first TSK values recorded within 72 h of their concussion. Participants were also administered the Revised Head Injury Scale (HIS-r) to assess symptom severity within 72 h of injury. The Immediate Postconcussion and Cognitive Test (ImPACT) battery was administered at baseline and used to gather demographic variables such as biological sex, age, history of anxiety/depression, and concussion history, and as part of the athletes’ symptom-free assessment. Days until clinical recovery between H-TSK and L-TSK groups were compared using a Mann–Whitney U test. Spearman’s rank correlation coefficients were calculated to determine the relationship between TSK and days until clinical recovery in addition to other modifiers of recovery. Multiple linear regression was used to evaluate days until clinical recovery as a function of the TSK total score, controlling for the HIS-r and ImPACT variables. Results: Days until clinical recovery was significantly longer in the H-TSK group (median difference = 2.5 days, p < 0.001) compared with the L-TSK group. A significant, moderate positive correlation between the TSK score and days to clinical recovery (ρ = 0.45, p < 0.001) was observed, which was also the strongest correlation among all variables. Our regression model demonstrated that for every point increase on the TSK, days until clinical recovery increased by 0.23 while controlling for total symptom severity, age, concussion history, psychiatric history, and biological sex (β = 0.23, p = 0.018). All other variables entered into the regression were not statistically significant. Conclusions: Our data suggest that athletes with TSK scores above 37 within 72 h of a concussion had a greater number of days until clinical recovery when compared with athletes with TSK values below 37. The TSK score had the highest correlation with days until clinical recovery when compared with other known modifiers of recovery, including total symptom severity. The TSK score was also the strongest predictor of days until clinical recovery. Collectively, these findings suggest that the TSK score should be considered by healthcare professionals to help inform effective management strategies for collegiate athletes with concussion.

Context: Biological sex and history of motion sickness are known modifiers associated with a false-positive baseline Vestibular/Ocular Motor Screening (VOMS). However, other factors may be associated with a false-positive VOMS in collegiate athletes. Objective: To identify contributing factors to false-positive VOMS assessments using population-specific criteria. We also critically appraised previously reported interpretation criteria. Design: Descriptive laboratory study. Setting: Single-site collegiate athletic training clinic. Patients or Other Participants: National Collegiate Athletic Association Division I athletes (n = 462 [41% female]) aged 18.8 ± 1.4 years. Main Outcome Measure(s): Participants completed the Athlete Sleep Behavior Questionnaire, the 7-Item Generalized Anxiety Index, the Immediate Postconcussion Assessment and Cognitive Testing battery, the Patient Health Questionnaire-9, the Revised Head Injury Scale, the Sensory Organization Test, and the VOMS as part of a multidimensional baseline concussion assessment. Participants were classified into 2 groups based on whether they had a total symptom score of greater than or equal to 8 after VOMS administration, excluding the baseline checklist. We used χ2 and independent t tests to compare group demographics. A binary logistic regression with adjusted odds ratios (ORs) was used to evaluate the influence of sex, corrected vision, attention-deficit/hyperactivity disorder, Immediate Postconcussion Assessment and Cognitive Testing composite scores, concussion history, history of treatment for headache and/or migraine, Generalized Anxiety Index scores, Patient Health Questionnaire-9 scores, Athlete Sleep Behavior Questionnaire scores, and Sensory Organization Test equilibrium scores and somatosensory, visual, and vestibular sensory ratios on false-positive rates. Results: Approximately 9.1% (42 of 462 [30 females]) met criteria for a false-positive VOMS. A significantly greater proportion of females had false positives (χ21 = 18.37, P < .001). Female sex (OR = 2.79; 95% CI = 1.17, 6.65; P = .02) and history of treatment for headache (OR = 4.99; 95% CI = 1.21, 20.59; P = .026) were the only significant predictors of false-positive VOMS. Depending on cutoff interpretation, false-positive rates using our data ranged from 9.1% to 22.5%. Conclusions: Our results support the most recent interpretation guidelines for the VOMS in collegiate athletes due to a low false-positive rate and ease of interpretation. Biological sex and history of headaches should be considered when administering the VOMS in the absence of a baseline.