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Context Adolescence is a critical period for bone development. Due to an elevated risk for low body mass index (BMI) and/or low energy availability, certain adolescent athletes are at increased risk of bone stress injury (BSI) and eating disorders (EDs). Despite this risk, the incidence of EDs in patients with BSI is unclear. Objective To compare the incidence of a premorbid drop in BMI percentile in a sample of adolescent athletes diagnosed with a BSI between 2005 and 2016. We also evaluated the relative risk of developing an ED for this sample, compared with a sex-matched, age-matched (±6 months), and time-matched (±2 years) sample of active adolescents with knee pain. Design Retrospective cohort study. Setting Data collected through the Rochester Epidemiology Project. Patients or Other Participants One hundred eighty-seven adolescent (aged 13–18) athletes with BSI and 187 active adolescents with knee pain. Main Outcome Measure(s) Conditional logistic regression was used to assess whether premorbid weight loss was a risk factor for BSI. A stratified log-rank test was used to evaluate the association between ED diagnosis and case-control status up to 5 years postinjury. Results Patients with a BSI had 1.53 times the odds of premorbid BMI percentile drop compared with controls (95% CI = 0.83, 2.12; P = .17). A total of 14 patients with a BSI had ED diagnoses after injury compared with 8 controls ( P = .13). Patients from weight-based or aesthetic sports had 1.93 times the odds of a BSI compared with controls (95% CI = 1.23, 3.02; P = .0040). The Kaplan-Meier estimates indicate that the case group had a greater risk of ED diagnosis. Conclusions Results suggest a trend toward a greater drop in BMI percentile and increased frequency of ED diagnoses in the BSI group compared with controls. The documented co-occurrence of weight loss, stress fractures, and EDs in adolescent athletes should inform guidelines for screening and treatment of adolescent athletes with BSIs.

Background: Diagnostic delay and error represent pervasive problems in healthcare with grave implications for treatment and prognosis. Though characteristic of human cognition, cognitive biases commonly contribute to delays in the physician decision-making process, particularly in atypical or complex presentations in youth. Methods: We present a case series of three adolescent athletes with varied clinical presentations whose diagnostic conceptualization and treatment were delayed in part due to cognitive biases with consequences for overall health and development, as well as return to sport. Results: The first case depicts how an atypical presentation of celiac disease was attributed to growing pains, illustrating the contribution of anchoring bias and confirmation bias in medical decision making. The second case represents the misattribution of chronic exertional compartment syndrome pain to growing pains and post-exercise soreness, highlighting the influence of ascertainment bias on the initial misdiagnosis. The third case describes how a vertebral mass was misdiagnosed as a left shoulder strain from weightlifting, depicting the contribution of anchoring bias and ascertainment bias in medical decision making. Conclusions: Early recognition of cognitive biases, including confirmation bias, anchoring bias, and ascertainment bias, is crucial for improving medical decision making, particularly in cases of rare or atypical presentations, reducing unnecessary diagnostic delays, and setting more realistic patient expectations. Through discussion of these cases, we highlight concrete steps to manage bias to facilitate timely diagnosis within the primary care and sports medicine setting.

The novel Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, created a need for evidence-based guidelines for the evaluation, management, and follow-up after infection. Data have become rapidly available, creating a challenge for medical providers to stay abreast of the ever-evolving recommendations. This article, written collaboratively by pediatric cardiovascular experts, pediatricians, and sports medicine specialists, is focused on SARS-CoV- 2-related pediatric cardiac manifestations. It aims to provide a systematic review of high-yield literature related to all cardiovascular entities as a tool for primary pediatric clinicians to utilize as they consider the cardiac consequences of acute SARS-CoV-2 infection, MIS-C, vaccine-related myocarditis, return-to-play, and long COVID-19 syndrome.

Tools used for the identification, evaluation, and monitoring of concussion have not been sufficiently studied in youth or real-world settings. Normative and reliability data on sideline concussion assessment measures in the youth athlete population is needed. Pre-season normative data for 515 athletes (93.5% male) aged 5 to 16 on the Standardized Assessment of Concussion (SAC/SAC-Child), modified Balance Errors Scoring System (mBESS), Timed Tandem Gait (TTG), and the King–Devick Test (KDT) are provided. A total of 212 non-injured athletes repeated the measures post-season to assess test–retest reliability. Mean performance on the SAC-C, mBESS, TTG, and KDT tended to improve with age. KDT was the only measure that demonstrated good to excellent stability across age ranges (ICC = 0.758 to 0.941). Concentration was the only SAC/SAC-C subtest to demonstrate moderate test–retest stability (ICC = 0.503 to 0.706). TTG demonstrated moderate to good (ICC = 0.666 to 0.811) reliability. mBESS demonstrated poor to moderate reliability (ICC = −0.309 to 0.651). Commonly used measures of concussion vary regarding test–retest reliability in youth. The data support the use of at least annual sport concussion baseline assessments in the pediatric population to account for the evolution in performance as the child ages. Understanding the variation in the stability and the evolution of baseline performance will enable improved identification of possible injury.

Background: Baseline concussion testing can be helpful to perform when providing concussion care for young athletes. To appropriately interpret these data, it is important to understand how certain factors may affect concussion testing. Purpose: To examine the relationship of sociodemographic and health variables with baseline concussion testing in young athletes. Study Design: Cross-sectional study; Level of evidence, 3. Methods: High school and middle school athletes competing in sports or positions at high risk for concussion (football, soccer, ice hockey, wrestling, lacrosse, and pitchers/catchers in baseball/softball) during the 2020-2021 or 2021-2022 academic years completed annual baseline concussion testing and were included in the study. Baseline data included self-reported demographic and medical information, a graded symptom checklist, the Standardized Assessment of Concussion, and the King-Devick test. A validated measure, HOUSES (HOUsing-based index of SocioEconomic Status), was used to determine participants’ socioeconomic status (SES) by linking personal address information to publicly available property data. Multivariable linear regression models were fit to analyze the relationship of concussion baseline testing to sociodemographic and health variables. Results: Among the eligible 2747 athletes (mean age, 15.4 ± 1.5 years; 73.6% male), the mean Standardized Assessment of Concussion score was 26.7 ± 2.0 and the mean best King-Devick test time was 50.3 ± 10.1 seconds. Higher baseline symptom severity scores were related to lower SES ( P = .002). A lower (ie, poorer) mean Standardized Assessment of Concussion score was significantly associated with the following in the multivariable model: male sex ( P < .001), younger age ( P < .001), Black/African American race ( P = .029), Hispanic ethnicity ( P = .016), previous diagnosis of learning disorder or attention-deficit hyperactivity disorder ( P < .001), and lower SES ( P = .003). A higher (ie, poorer) mean King-Devick test time was related to younger age, previous diagnosis of a learning disorder or attention-deficit hyperactivity disorder, and lower SES (all P < .001). Conclusion: Baseline concussion testing was found to be associated with certain sociodemographic variables and underlying health conditions in high school and middle school athletes.