Context: Limited evidence exists to demonstrate the effect of extrinsic factors, such as footwear worn or the testing environment, on performance of the modified balance error scoring system (mBESS) in the middle school age (10–14 y) population. Therefore, the purpose of our study was to investigate the effect of footwear types and testing environments on performance of the mBESS by middle school athletes. Design: Cross-sectional. Methods: In total, 2667 middle school athletes (55.9% boys and 44.1% girls; age = 12.3 [0.94] y) were administered the mBESS while wearing their self-selected footwear (barefoot, cleats, or shoes) either indoors (basketball court) or outdoors (football field or track). The number of errors committed (range = 0–10) during the double-leg, single-leg, and tandem stances of the mBESS were summed to calculate a total score (range = 0–30). Kruskal–Wallis tests were used to assess for differences among the footwear groups for each mBESS stance and the total score. Mann–Whitney U tests with calculated nonparametric effect sizes (r) were used to assess for differences between the footwear groups and testing environments when appropriate. Results: There were significant differences for the number of committed errors among the footwear groups in the single-leg (P < .001) and tandem (P < .001) stances of the mBESS and mBESS total scores (P < .001). Significantly fewer errors (better) were committed while wearing shoes compared with other footwear in the single-leg and tandem stances of the mBESS (Ps ≤ .032, r = .07–.13). Participants assessed indoors committed significantly fewer errors than those assessed outdoors in each stance of the mBESS (Ps ≤ .022, r = .04–.14). Lower (better) mBESS total scores were observed for participants while wearing shoes (Ps ≤ .002, r = .10–.15) or assessed indoors (P = .001, r = .14). Conclusions: Although our data suggest that the type of footwear worn and the testing environment have a significant effect on mBESS scores of middle school athletes, the magnitudes of these differences are negligible.

Background: The Child Sport Concussion Assessment Tool 5th Edition (Child SCAT5) was developed to evaluate children between 5-12 years of age for a suspected concussion. However, limited empirical evidence exists demonstrating the value of the Child SCAT5 for acute concussion assessment. Therefore, the purpose of our study was to examine differences and assess the diagnostic properties of Child SCAT5 scores among concussed and non-concussed middle school children on the same day as a suspected concussion.Methods: Our participants included 34 concussed (21 boys, 13 girls; age=12.8±0.86 years) and 44 non-concussed (31 boys, 13 girls; age=12.4±0.76 years) middle school children who were administered the Child SCAT5 upon suspicion of a concussion. Child SCAT5 scores were calculated from the symptom evaluation (total symptoms, total severity), child version of the Standardized Assessment of Concussion (SAC-C), and modified Balance Error Scoring System (mBESS). The Child SCAT5 scores were compared between the concussed and non-concussed groups. Non-parametric effect sizes (r=z/√n) were calculated to assess the magnitude of difference for each comparison. The diagnostic properties (sensitivity, specificity, diagnostic accuracy, predictive values, likelihood ratios, and diagnostic odds ratio) of each Child SCAT5 score were also calculated.Results: Concussed children endorsed more symptoms (p<0.001, r=0.45), higher symptom severity (p<0.001, r=0.44), and had higher double leg (p=0.046, r=0.23), single leg (p=0.035, r=0.24), and total scores (p=0.022, r=0.26) for the mBESS than non-concussed children. No significant differences were observed for the SAC-C scores (p’s≥0.542). The quantity and severity of endorsed symptoms had the best diagnostic accuracy (AUC=0.76–0.77), negative predictive values (NPV=0.84–0.88), and negative likelihood ratios (-LR=0.22–0.31) of the Child SCAT5 scores.Conclusions: The symptom evaluation was the most effective component of the Child SCAT5 for differentiating between concussed and non-concussed middle school children on the same day as a suspected concussion.

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Background The Child Sport Concussion Assessment Tool 5th Edition (Child SCAT5) was developed to evaluate children between 5 and 12 years of age for a suspected concussion. However, limited empirical evidence exists demonstrating the value of the Child SCAT5 for acute concussion assessment. Therefore, the purpose of our study was to examine differences and assess the diagnostic properties of Child SCAT5 scores among concussed and non-concussed middle school children on the same day as a suspected concussion. Methods Our participants included 34 concussed (21 boys, 13 girls; age = 12.8 ± 0.86 years) and 44 non-concussed (31 boys, 13 girls; age = 12.4 ± 0.76 years) middle school children who were administered the Child SCAT5 upon suspicion of a concussion. Child SCAT5 scores were calculated from the symptom evaluation (total symptoms, total severity), child version of the Standardized Assessment of Concussion (SAC-C), and modified Balance Error Scoring System (mBESS). The Child SCAT5 scores were compared between the concussed and non-concussed groups. Non-parametric effect sizes ($$r=\frac{Z}{\sqrt{n}}$$ r = Z n ) were calculated to assess the magnitude of difference for each comparison. The diagnostic properties (sensitivity, specificity, diagnostic accuracy, predictive values, likelihood ratios, and diagnostic odds ratio) of each Child SCAT5 score were also calculated. Results Concussed children endorsed more symptoms (p < 0.001, $$r$$ r =0.45), higher symptom severity (p < 0.001, $$r$$ r =0.44), and had higher double leg (p = 0.046, $$r$$ r =0.23), single leg (p = 0.035, $$r$$ r =0.24), and total scores (p = 0.022, $$r$$ r =0.26) for the mBESS than the non-concussed children. No significant differences were observed for the SAC-C scores (p’s ≥ 0.542). The quantity and severity of endorsed symptoms had the best diagnostic accuracy (AUC = 0.76–0.77), negative predictive values (NPV = 0.84–0.88), and negative likelihood ratios (-LR = 0.22–0.31) of the Child SCAT5 scores. Conclusions Clinicians should prioritize interpretation of the symptom evaluation form of the Child SCAT5 as it was the most effective component for differentiating between concussed and non-concussed middle school children on the same day as a suspected concussion.

Objective Middle school is often the first exposure to American football for many children. However, research examining concussion in football has primarily focused on high school and older athletes. Therefore, we investigated the incidence of concussion and subsequent sport time loss (TL) in MS football. Methods Athlete exposure (AE) and injury rates (IR) were gathered by onsite Certified Athletic Trainers within public middle school for all events across the 2015/16–2019/20 school years. AE was defined as one athlete participating in one practice or game. TL was defined as the number of days between the injury and return to sport dates. Concussion rates per 1000AE with corresponding confidence intervals (CI) were calculated. Injury rate ratios (IRR) with 95% CIs were compared IR between practices and games. CIs excluding 1.0 were considered significant. Results 75 concussions (IR = 1.38/1000AE, 95% CI = 1.06–1.69) occurred across 54,544 AEs. The concussion rate was significantly higher in games (n = 31, IR = 3.51, 95%CI = 2.27–4.75) than practices (n = 44, IR = 0.96, 95%CI = 0.68–1.25; IRR = 3.65, 95%CI = 2.30–5.77). The mean sport TL was 16.50 ± 8.25 days. Conclusions We observed middle school football concussion rates (practices and games) and associated TL from sport to be consistent with prior youth and high school football research. However, the concussion rate for middle school games was more than 3 times that of practices. This is similar to prior middle school football findings, but less than reported in high school football. Continued research evaluating modifiable risk factors for concussion in middle school football games and practices is needed.