Characteristics of Pediatric Concussion across Different Mechanisms of Injury in 5 through 12-Year-Olds.

OBJECTIVE: To investigate characteristics of sport-related concussion (SRC), recreation-related concussion (RRC), and nonsport or recreation-related concussion (non-SRRC) in patients 5 through 12 years old, an understudied population in youth concussion. STUDY DESIGN: This observational study included patients aged 5 through 12 years presenting to a specialty care concussion setting at ≤28 days postinjury from 2018 through 2022. The following characteristics were assessed: demographics, injury mechanism (SRC, RRC, or SRRC), point of healthcare entry, and clinical signs and symptoms. Kruskal-Wallis and chi-square tests were used to assess group differences. Posthoc pairwise comparisons were employed for all analyses (α = 0.017). RESULTS: One thousand one hundred forty-one patients reported at ≤28 days of injury (female = 42.9%, median age = 11, interquartile range (IQR) = 9-12) with the most common mechanism being RRC (37.3%), followed by non-SRRC (31.9%). More non-SRRCs (39.6%) and RRC (35.7%) were first seen in the emergency department (P < .001) compared with SRC (27.9%). Patients with RRC and non-SRRC were first evaluated at specialists 2 and 3 days later than SRC (P < .001). Patients with non-SRRC reported with higher symptom burden, more frequent visio-vestibular abnormalities, and more changes to sleep and daily habits (P < .001) compared with RRC and SRC (P < .001). CONCLUSIONS: In concussion patients 5 through 12 years, RRCs and non-SRRC were more prevalent than SRC, presenting first more commonly to the emergency department and taking longer to present to specialists. Non-SRRC had more severe clinical features. RRC and non-SRRC are distinct from SRC in potential for less supervision at time of injury and less direct access to established concussion health care following injury.

Maximizing the Accuracy of Adolescent Concussion Diagnosis Using Individual Elements of Common Standardized Clinical Assessment Tools.

CONTEXT: Multiple clinical evaluation tools exist for adolescent concussion with various degrees of correlation, presenting challenges for clinicians in identifying which elements of these tools provide the greatest diagnostic utility. OBJECTIVE: To determine the combination of elements from 4 commonly used clinical concussion batteries that maximize discrimination of adolescents with concussion from those without concussion. DESIGN: Cross-sectional study. SETTING: Suburban school and concussion program of a tertiary care academic center. PATIENTS OR OTHER PARTICIPANTS: A total of 231 participants with concussion (from a suburban school and a concussion program) and 166 participants without concussion (from a suburban school) between the ages of 13 and 19 years. MAIN OUTCOME MEASURE(S): Individual elements of the visio-vestibular examination (VVE), Sport Concussion Assessment Tool, fifth edition (SCAT5; including the modified Balance Error Scoring System), King-Devick test (K-D), and Postconcussion Symptom Inventory (PCSI) were evaluated. The 24 subcomponents of these tests were grouped into interpretable factors using sparse principal component analysis. The 13 resultant factors were combined with demographic and clinical covariates into a logistic regression model and ranked by frequency of inclusion into the ideal model, and the predictive performance of the ideal model was compared with each of the clinical batteries using the area under the receiver operating characteristic curve (AUC). RESULTS: A cluster of 4 factors (factor 1 [VVE saccades and vestibulo-ocular reflex], factor 2 [modified Balance Error Scoring System double-legged stance], factor 3 [SCAT5/PCSI symptom scores], and factor 4 [K-D completion time]) emerged. A model fit with the top factors performed as well as each battery in predicting concussion status (AUC = 0.816 [95% CI = 0.731, 0.889]) compared with the SCAT5 (AUC = 0.784 [95% CI = 0.692, 0.866]), PCSI (AUC = 0.776 [95% CI = 0.674, 0.863]), VVE (AUC = 0.711 [95% CI = 0.602, 0.814]), and K-D (AUC = 0.708 [95% CI = 0.590, 0.819]). CONCLUSIONS: A multifaceted assessment for adolescents with concussion, comprising symptoms, attention, balance, and the visio-vestibular system, is critical. Current diagnostic batteries likely measure overlapping domains, and the sparse principal component analysis demonstrated strategies for streamlining comprehensive concussion assessment across a variety of settings.

Factors Associated with Cell Phone Use While Driving: A Survey of Parents and Caregivers of Children Ages 4-10 Years.

OBJECTIVES: To examine characteristics associated with cell phone use while driving by parents and caregivers of children ages 4-10 years. STUDY DESIGN: National cross-sectional online survey with a convenience sample (March 2017-April 2017). INCLUSION CRITERIA: Parent/caregiver of a child age 4-10 years in their home, age ≥18 years, read and spoke English, and drove child ≥6 times in previous 3 months. Adjusted logistic regression analyses were modeled for outcome measures of previous 3-month self-report cell phone use while driving with the child. RESULTS: The analytic sample was n = 760. In the previous 3 months, 47% of parent/caregivers talked on a hand-held phone, 52.2% talked on a hands-free phone, 33.7% read texts, 26.7% sent texts, and 13.7% used social media while driving with their child in the vehicle. Compared with those who always used their typical child restraint system, participants who did not always use were more likely to talk on a hands-free phone (aOR 1.97, 95% CI 1.26-3.09), read a text (aOR 1.74, 95% CI 1.11-2.73), send a text (aOR 1.65, 95% CI 1.04-2.62), and use social media (aOR 2.92, 95% CI 1.73-4.94) while driving. Higher income, not wearing a seat belt (driver) on every trip, and driving under influence of alcohol also were associated with various types of cell phone use while driving. CONCLUSIONS: Inconsistent child restraint system use, lack of seat belt use, and driving under the influence of alcohol are associated with parent/caregiver cell phone use while driving. Screening and education related to parental driving behaviors should include addressing multiple risk behaviors.

Simulated Driving Assessment (SDA) for teen drivers: results from a validation study.

BACKGROUND: Driver error and inadequate skill are common critical reasons for novice teen driver crashes, yet few validated, standardised assessments of teen driving skills exist. The purpose of this study is to evaluate the construct and criterion validity of a newly developed Simulated Driving Assessment (SDA) for novice teen drivers. METHODS: The SDA's 35 min simulated drive incorporates 22 variations of the most common teen driver crash configurations. Driving performance was compared for 21 inexperienced teens (age 16-17 years, provisional license ≤90 days) and 17 experienced adults (age 25-50 years, license ≥5 years, drove ≥100 miles per week, no collisions or moving violations ≤3 years). SDA driving performance (Error Score) was based on driving safety measures derived from simulator and eye-tracking data. Negative driving outcomes included simulated collisions or run-off-the-road incidents. A professional driving evaluator/instructor (DEI Score) reviewed videos of SDA performance. RESULTS: The SDA demonstrated construct validity: (1) teens had a higher Error Score than adults (30 vs. 13, p=0.02); (2) For each additional error committed, the RR of a participant's propensity for a simulated negative driving outcome increased by 8% (95% CI 1.05 to 1.10, p<0.01). The SDA-demonstrated criterion validity: Error Score was correlated with DEI Score (r=-0.66, p<0.001). CONCLUSIONS: This study supports the concept of validated simulated driving tests like the SDA to assess novice driver skill in complex and hazardous driving scenarios. The SDA, as a standard protocol to evaluate teen driver performance, has the potential to facilitate screening and assessment of teen driving readiness and could be used to guide targeted skill training.