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Participation in outdoor sports increases exposure to ultraviolet radiation, necessitating mitigation through sunscreen use. This prospective study examined the effects of sport, setting (practice vs. competition), gender, age and geographic location on sunscreen use and education among youth athletes in various sports. Six hundred and twelve athletes ≤18 years old completed an online survey on sunscreen education and use during competitions and practices. Regardless of sport, reported sunscreen use was higher during practices than competition (p < 0.0001). Sunscreen was used most by swimmers/divers (odds ratio: OR ≥ 1.9, p < 0.001) and least by American football players (OR ≤ 0.57, p ≤ 0.001). Coaches mentioned sunscreen use the most in track and field (OR 1.84, p = 0.001) and the least in American football (OR 0.67, p = 0.03). Athletes used sunscreen more if they were female (OR ≥ 1.9 1.38, p ≤ 0.06) and younger (age OR ≤ 0.88, p < 0.001). In conclusion, youth athletes differ in sunscreen use by sport and setting, highlighting the need for continued photoprotective education. [ABSTRACT FROM AUTHOR]

In this article, the author discusses the treatment of hand injuries in children. The article notes that hands are the most frequently injured body part in children. The author explains that since children still have active growth plates that are vulnerable to trauma, they have an increased risk for permanent growth abnormalities, angular deformities, and dysfunction. The author explains the importance of proper evaluation of neurovascular status and alignment with such injuries.

Background: A validated clinical risk tool has been developed to identify pediatric and adolescent patients at risk of developing persisting symptoms after concussion, but has not been prospectively investigated within a sample of athletes seen after concussion by primary care sports medicine physicians and/or athletic trainers. Purpose: To determine whether a validated clinical risk prediction tool for persistent postconcussive symptoms (PPCSs) predicted which patients would develop PPCSs when obtained within 14 days of concussion among a multicenter sample of adolescent athletes. Study Design: Cohort study; Level of evidence, 2. Methods: Pediatric and adolescent patients (8-18 years of age) from 7 pediatric medical centers and 6 secondary school athletic training facilities who were diagnosed with a concussion and presented ≤14 days after concussion were enrolled as part of the Sport Concussion Outcomes in Pediatrics (SCOPE) study during their initial visit and were followed until symptom resolution. Clinical risk scores (Predicting and Preventing Post-concussive Problems in Pediatrics [5P]) and total symptom severity were obtained using the Post-Concussion Symptom Inventory at the initial visit (mean, 4.9 ± 2.9 days after concussion). Participants were then compared based on symptom resolution time: PPCS group (≥28 days to symptom resolution) and no-PPCS group (<28 days). The authors assessed the odds of developing PPCSs based on the 5P risk score using a binary logistic regression model and the utility of the clinical risk prediction tool to identify total time to symptom resolution using a Cox proportional hazards model. Results: A total of 184 participants enrolled, underwent initial evaluation, and were followed until symptom resolution (mean age, 15.2 ± 2.1 years; 35% female). The mean time to symptom resolution across the entire sample was 17.6 ± 3.7 days; 16% (n = 30) of participants developed PPCS. Those in the PPCS group had significantly greater mean initial total 5P risk scores than those in the no-PPCS group (7.9 ± 1.7 vs 5.9 ± 2.3, respectively; P <.001). After adjustment for initial symptom severity, time to assessment, and assessment setting, a higher initial total 5P risk score was associated with a significantly greater odds of developing PPCSs (adjusted odds ratio, 1.49; 95% CI, 1.07-2.08; P =.019). Furthermore, a higher 5P risk score was significantly associated with longer total symptom resolution time (hazard ratio, 0.80; 95% CI, 0.74-0.88; P <.001). Conclusion: In a multicenter sample of youth athletes seen in different outpatient health care settings, the 5P risk score accurately predicted which athletes may be at risk for developing PPCSs. [ABSTRACT FROM AUTHOR]

Objective: To examine patient and injury factors that may predict quality of life (QoL) and symptom duration after concussion. Design: Prospective, longitudinal. Settings: Six children’s hospital-based medical centers and 9 secondary school athletic training facilities. Patients: Pediatric patients (8-18 years) were enrolled as part of the Sport Concussion Outcomes in Pediatrics (SCOPE) study during their initial visit for a diagnosis of sport-related concussion. Interventions: Patients completed a medical history, the Postconcussion Symptom Inventory (PCSI), and Patient-Reported Outcomes Measurement Information System Pediatric Profile-25 (PROMIS-PP). Main Outcome Measures: Eight predictor variables [age, sex, assessment time, loss of consciousness, amnesia and history of concussion, migraines, or attention-deficit hyperactivity disorder or (ADHD)] were assessed using regression models constructed for each dependent variable. Results:A total of 244 patients (15.162.1 years, 41% female) were enrolled (mean 5 5 6 3 days after concussion; range 5 1-14 days). Female sex, later initial assessment, and presence of amnesia were associated with lower QoL scores on several domains, whereas loss of consciousness was associated with higher QoL for fatigue. A history of migraines was associated with lower peer relationship QoL. Patients who subsequently developed persisting symptoms had lower mobility scores and higher anxiety, depressive symptom, fatigue, and pain interference scores. Conclusions: Female sex, later clinic presentation, and amnesia were associated with a lower QoL related to mobility, anxiety, depressive symptoms, fatigue, and pain interference. Interestingly, previous concussion and preinjury ADHD diagnosis did not negatively impact postinjury QoL at the initial visit. Future studies should assess the influence of these factors on QoL at later postinjury time points using a concussion-specific outcomes instrument. [ABSTRACT FROM AUTHOR]