Search

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]

While placebo effects are well recognized within clinical medicine, "nocebo effects" have received much less attention. Nocebo effects are problems caused by negative expectations derived from information or treatment provided during a clinical interaction. In this review, we examine how nocebo effects may arise following pediatric concussion and how they may worsen symptoms or prolong recovery. We offer several suggestions to prevent, lessen, or eliminate such effects. We provide recommendations for clinicians in the following areas: terminology selection, explicit and implicit messaging to patients, evidence-based recommendations, and awareness of potential biases during clinical interactions. Clinicians should consider the empirically grounded suggestions when approaching the care of pediatric patients with concussion. [ABSTRACT FROM AUTHOR]

Our purpose was to investigate the reliability and minimal detectable change characteristics of a smartphone-based assessment of single- and dual-task gait and cognitive performance. Uninjured adolescent athletes (n = 17; mean age = 16.6, SD = 1.3 y; 47% female) completed assessments initially and again 4 weeks later. The authors collected data via an automated smartphone-based application while participants completed a series of tasks under (1) single-task cognitive, (2) single-task gait, and (3) dual-task cognitive-gait conditions. The cognitive task was a series of continuous auditory Stroop cues. Average gait speed was consistent between testing sessions in single-task (0.98, SD = 0.21 vs 0.96, SD = 0.19 m/s; P =.60; r =.89) and dual-task (0.92, SD = 0.22 vs 0.89, SD = 0.22 m/s; P =.37; r =.88) conditions. Response accuracy was moderately consistent between assessments in single-task standing (82.3% accurate, SD = 17.9% vs 84.6% accurate, SD = 20.1%; P =.64; r =.52) and dual-task gait (89.4% accurate, SD = 15.9% vs 85.8% accurate, SD = 20.2%; P =.23; r =.81) conditions. Our results indicate automated motor-cognitive dual-task outcomes obtained within a smartphone-based assessment are consistent across a 1-month period. Further research is required to understand how this assessment performs in the setting of sport-related concussion. Given the relative reliability of values obtained, a smartphone-based evaluation may be considered for use to evaluate changes across time among adolescents, postconcussion. [ABSTRACT FROM AUTHOR]

Researchers have recommended that youth athletes limit their practice volume to the number of hours/week that they are old in years. We examined sport perceptions, burnout, anxiety, and depressive symptoms among youth athletes who did and did not report playing more hours/week of organized sports than their age. Uninjured athletes aged 13–18 years old completed questionnaires documenting demographics, sport participation volume, health and injury history, depressive symptoms, anxiety, burnout, and sport perceptions during a pre-participation physical examination. We grouped participants as those who reported more hours/week in organized sports than their age (exceeds age/volume recommendation) vs. those who reported equal/less hours/week in organized sports than their age (meets age/volume recommendation). Of 161 participants, 21% (n = 33) were in the 'exceeds age/volume recommendation' group (age = 15.2 ± 1.3 years; 55% female; 18.7 ± 4.0 hours/week) and 79% (n = 128) were in the 'meets age/volume recommendation' group (age = 15.6 ± 1.2 years; 50% female; 10.2 ± 3.4 hours/week). A higher proportion of the 'exceeds age/volume recommendation' group agreed with the statement 'youth in my sport play too many games before college' than the 'meets age/volume recommendation' group (33% vs. 16%; p = 0.03). After adjusting for the effect of age, sport specialization level, and weight, exceeding age/volume recommendations was associated with the perception that youth in sports play too many games before college (aOR = 3.24; 95% CI = 1.26, 8.29; p = 0.01), while burnout (aOR = 0.99; 95% CI = 0.94, 1.06; p = 0.93), anxiety (aOR = 0.97; 95% CI = 0.84, 1.11; p = 0.65), and depressive symptoms (aOR = 0.90; 95% CI = 0.74, 1.10; p = 0.30) were not significantly related. Athletes who spend more hours in sport than their age appear to perceive their competition load during youth sports to be excessive. Coaches and providers should monitor athlete's training hours and perceptions of competition load to offer support and potentially prevent burnout development. [ABSTRACT FROM AUTHOR]

Background: Both sleep duration and physical activity following concussion may influence subsequent recovery. Objective measurement of sleep and physical activity behavior via wearable technology may provide insights into their association with concussion recovery. Objective: To determine whether sleep behavior (eg, duration, timing) and/or physical activity (steps/day, or exercise frequency, duration, intensity) in the first month after adolescent sports‐related concussion are associated with developing persisting postconcussion symptoms (PPCS). Design: Case–control. Setting: Outpatient sports medicine clinic. Participants: The study prospectively enrolled adolescent athletes who sustained a concussion (N = 49, age = 14.8 ± 1.8 years; 51% female) who were evaluated within 14 days of concussion (mean = 6.7 ± 2.7 days) and followed uvia sleep/physical activity monitoring for the subsequent 2 weeks. Main Outcome Measures: Participants wore a monitor to track sleep (sleep time, wake time, and time spent awake in bed at night) and physical activity (average steps/day, exercise frequency, exercise duration) behavior for 2 weeks after initial assessment. Participants were followed until symptom resolution, and the main outcome of interest was development of PPCS (symptom duration >28 days). A multivariable logistic regression model was used to examine associations between physical activity and sleep behavior with PPCS. Results: Of the 49 participants, 47% (n = 23, mean symptom resolution = 57 ± 23 days post injury) developed PPCS and 53% (n = 26, mean symptom resolution = 15 ± 7 days post injury) did not. Univariable analysis showed that the PPCS group took fewer steps/day (7526 ± 2975 vs. 9803 ± 3786 steps/day; p =.02), exercised less frequently (2.5 ± 2.2 vs. 4.4 ± 2.1 days/week; p =.005), and spent more time in bed awake (1.2 ± 0.3 vs. 0.8 ± 0.3 h/night; p =.03) than the no PPCS group. Multivariable results indicated the odds of developing PPCS significantly increased with fewer exercise session/week (adjusted odds ratio = 1.96, 95% confidence interval = 1.09, 3.51, p =.024). Conclusions: More exercise sessions that were longer than 15 minutes during concussion recovery was associated with a lower risk of developing PPCS, whereas sleep and other physical activity measures were not. Further studies regarding exercise duration and intensity are needed. Clinicians may consider advising patients to optimize sleep and physical activity during concussion recovery. [ABSTRACT FROM AUTHOR]