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• Pediatric type 2 diabetes mellitus incidence and prevalence are increasing. • Classifying pediatric diabetes types is difficult due to their overlapping features. • Accurate diagnosis is critical to optimize outcomes for patients. • Children aged > 10 years or postpubertal should be screened. • Maturity-onset diabetes of the young should be considered in the differential. Type 2 diabetes (T2DM) incidence and prevalence are increasing in pediatrics. All children aged > 10 years or postpubertal should be screened in primary care for T2DM if they are overweight with one risk factor or have signs of insulin resistance or associated conditions. Classifying pediatric diabetes is challenging. An accurate, timely diagnosis is critical to optimize care, as children with T2DM are at risk for more severe disease as adults. We describe a 10-year-old female referred to endocrine following abnormal laboratory results in primary care. Despite the initial presentation of diabetic ketoacidosis, the child was diagnosed with T2DM. [ABSTRACT FROM AUTHOR]

Evidence suggests that lower socioeconomic status (SES) and negative social determinants of health (SDOH) contribute to health care disparities. Due to their accessibility in the high school setting, secondary school athletic trainers (SSATs) may encounter patients who are historically underserved in health care, such as patients with low SES. However, a significant gap in knowledge exists regarding how SDOH and SES may influence SSATs' clinical management decisions. To describe SSATs' perceptions of how patient SDOH and SES influence clinical management decisions and to identify barriers to athletic health care. Cross-sectional study. Online survey. National Athletic Trainers' Association SSATs (6.7% response rate). Secondary school athletic trainers were asked about their perceptions of patient SDOH and SES (content validity index = 0.83 for relevancy). The levels of relevance and agreement were answered on a 4-point Likert scale. Data were summarized using means and SDs, frequencies and proportions (%), and median scores. A total of 380 SSATs participated (mean years of experience = 14.9 ± 11.7 years). When providing care, most (71.3%) SSATs believed their patients' health or health care access to be the most relevant of the 5 SDOH, whereas the other 4 SDOH were less than 60% relevant. Most SSATs agreed or strongly agreed that patient SES affected both referral (67.4%) and the reliance on conservative treatment before referral (71.2%). Secondary school athletic trainers identified patient or guardian compliance (70.2%) and type of health insurance (61.5%) as barriers to providing care to patients with low SES. Secondary school athletic trainers perceived health or health care access as the most relevant social determinant when providing care to patients with low SES. When SSATs further considered the SES of patients, they identified all SDOH as barriers that they were ill equipped to navigate as they delivered care and engaged in patient referral. [ABSTRACT FROM AUTHOR]

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]

Sport specialization, or focused participation in a single sport, is associated with an increased rate of overuse injury and burnout. Medical associations and sport organizations have published recommendations for sport specialization aimed at reducing its negative consequences. Health care providers (HCPs) are often identified as individuals who can educate athletes and parents about these important recommendations. To compare knowledge, perceptions, awareness, confidence in knowledge, and use of sport specialization recommendations among HCPs who work with pediatric athletes. Cross-sectional study. An online web-based survey was developed to assess HCPs' knowledge, perceptions, awareness, confidence in knowledge, and clinical use of sport specialization recommendations. Participants were recruited from the research survey services of 4 professional organizations. Dependent variables were responses for awareness, perceptions, confidence in knowledge, use, and barriers sections of the survey. Data were analyzed with descriptive statistics; comparisons among HCPs were made through χ2 and Kruskal-Wallis tests. The survey was completed by 770 HCPs (completion rate = 95.1%). Respondents lacked awareness specific to recommendations surrounding the maximum number of sport participation months per year (39.5%), maximum hours per week (40.7%), and maximum number of teams on which youth athletes should participate concurrently (43.9%). Physicians were the most aware of medical organization recommendations generally (48%–68.8%) and confident in their knowledge (41.5%–75.1%). All HCPs were less aware and confident in their knowledge of sport organization recommendations, with no differences among HCPs. Physicians did not perceive many barriers to the use of the recommendations, whereas athletic trainers felt that patient (39.9%) and parent (45.3%) behaviors were the greatest barriers to usage. Awareness, perceptions, and use of sport specialization recommendations varied by discipline, but most respondents believed they were associated with a decreased risk of injury. Future researchers should focus on improved education and implementation of recommendations across all roles. [ABSTRACT FROM AUTHOR]

Objective: This study sought to (1) collate the experiences of university students with concussion history and academic stakeholders through interviews and (2) develop concussion management recommendations for institutions of higher learning using a multidisciplinary Delphi procedure. Setting: Remote semistructured interviews and online surveys. Participants: The first aim of this study included undergraduate university students with concussion history who did not participate in varsity athletics (n = 21; 57.1% female), as well as academic faculty/staff with experience assisting university students with their postconcussion academic needs (n = 7; 71.4% female). The second aim enrolled 22 participants (54.5% female) to serve on the Delphi panel including 9 clinicians, 8 researchers, and 5 academic faculty/staff. Design: An exploratory-sequential mixed-methods approach. Main Measures: Semistructured interviews were conducted to unveil barriers regarding the return-to-learn (RTL) process after concussion, with emergent themes serving as a general framework for the Delphi procedure. Panelists participated in 3 stages of a modified Delphi process beginning with a series of open-ended questions regarding postconcussion management in higher education. The second stage included anonymous ratings of the recommendations, followed by an opportunity to review and/or modify responses based on the group's consensus. Results: The results from the semistructured interviews indicated students felt supported by their instructors; however, academic faculty/staff lacked information on appropriate academic supports and/or pathways to facilitate the RTL process. Of the original 67 statements, 39 achieved consensus (58.2%) upon cessation of the Delphi procedure across 3 main categories: recommendations for discharge documentation (21 statements), guidelines to facilitate a multidisciplinary RTL approach (10 statements), and processes to obtain academic supports for students who require them after concussion (8 statements). Conclusions: These findings serve as a basis for future policy in higher education to standardize RTL processes for students who may need academic supports following concussion. [ABSTRACT FROM AUTHOR]

Purpose: To examine and compare the role of self-assessed sport and physical activity involvement on the health-related quality of life among undergraduate student-athletes and general undergraduate college students.Design: Cross-sectional survey. Data set was examined for differences in physical and mental health by self-assessed sport and physical activity level.Setting: Large Midwestern University in the fall of 2016.Participants: A combined data set representing undergraduate Division I student athletes (n = 842) and general undergraduate students (n = 1322).Measures: Veterans RAND 12 Item Health Survey (VR-12), as measure of health-related quality of life, comprised of physical component score (PCS) and mental component score (MCS). Self-assessed sport and physical activity level categorized as Division I athlete, club athlete, intramural player, student who works out regularly, or student who is physically inactive.Analysis: Standard univariable statistics described the study population. Two-sample t tests and χ2 tests were conducted, as appropriate, to compare Division I student-athletes to the general undergraduate group. Multivariable linear regression models were then built to assess associations between physical activity level and year in school with VR-12 outcomes, after adjusting for sex. All pairwise interactions were considered for inclusion in the final models. Adjusted least-square means were calculated for all variables in the model; pairwise comparisons were adjusted for multiple comparisons via Tukey-Kramer adjustment criteria. A linear test for trend was also conducted for the association between VR-12 MCS and increasing physical activity.Results: Significant differences in MCS were noted between levels of sport and physical activity; however, such differences were not detected in PCS. After controlling for sex, a positive relationship between increased sport and physical activity level and greater MCS was found.Conclusions: This study represents the first prospective assessment of health-related quality of life among undergraduate athletes and general college students. Higher levels of sport and physical activity were associated with more positive mental health in these populations. [ABSTRACT FROM AUTHOR]

Objective: To understand factors associated with missed academic time after concussion to improve support for patients. Our goal was to assess patient-specific predictors of total school time lost after pediatric/adolescent concussion., Study Design: We performed a prospective cohort study of children and adolescents (8-18 years of age) seen within 14 days of concussion from seven pediatric medical centers across the United States. We collected outcomes via the Concussion Learning Assessment & School Survey (CLASS) and constructed a multivariable predictive model evaluating patient factors associated with school time loss., Results: 167 patients participated (mean age = 14.5 ± 2.2 years; 46% female). Patients were assessed initially at 5.0 ± 3.0 days post-injury and had a final follow-up assessment 24.5 ± 20.0 days post-concussion. Participants missed a median of 2 days of school (IQR = 0.5-4), and 21% reported their grades dropped after concussion. Higher initial symptom severity rating (β = 0.06, 95% CI = 0.03-0.08, p  < 0.001) and perception of grades dropping after concussion (β = 1.37, 95% CI = 0.28-2.45, p  = 0.01) were significantly associated with more days of school time missed after concussion. Those who reported their grades dropping reported missing significantly more school (mean = 5.0, SD = 4.7 days missed of school) than those who reported their grades did not drop (mean = 2.2, SD = 2.6 days missed of school; p  < 0.001; Cohen's d = 0.87)., Conclusions: Children and adolescents reported missing a median of 2 days of school following concussion, and more missed school time after a concussion was associated with more severe concussion symptoms and perception of grades dropping. These findings may support recommendations for minimal delays in return-to-learn after concussion.

Type 2 diabetes (T2DM) incidence and prevalence are increasing in pediatrics. All children aged > 10 years or postpubertal should be screened in primary care for T2DM if they are overweight with one risk factor or have signs of insulin resistance or associated conditions. Classifying pediatric diabetes is challenging. An accurate, timely diagnosis is critical to optimize care, as children with T2DM are at risk for more severe disease as adults. We describe a 10-year-old female referred to endocrine following abnormal laboratory results in primary care. Despite the initial presentation of diabetic ketoacidosis, the child was diagnosed with T2DM., Competing Interests: CONFLICTS OF INTEREST None to report., (Copyright © 2023 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.)

Purpose: The objectives of this study are to 1) describe collegiate student-athlete (SA) race and household income and 2) evaluate time to normal academic performance (i.e., return to learn (RTL)), initiation of the return to play (iRTP) protocol, RTP protocol duration, and time to unrestricted RTP (URTP) after sustaining sport-related concussion (SRC)., Methods: Data were collected between 2014 and 2020 by the Concussion Assessment, Research, and Education Consortium. Baseline data were used to characterize participant demographics ( N = 22,819) and post-SRC outcomes ( n = 5485 SRC) in time to RTL ( n = 1724) and RTP outcomes ( n = 2646) by race. Descriptive statistics and nonparametric tests examined differences across race by demographic and injury characteristics. Kaplan-Meier curves estimated median days to RTL, iRTP protocol, RTP protocol completion, and URTP by race and covariate measures. Multivariable Cox proportional hazards regression assessed the effect of race on risk of RTL and RTP recovery time points., Results: SA largely identified as White (75%) followed by Black (14%), multiracial (7%), and Asian (3%). More than half (53%) of all SA reported a household income of >$120,000, whereas 41% of Black SA reported a household income <$60,000. Race was not associated with relative risk of RTL or iRTP but was associated with RTP protocol completion and URTP. Non-Black/non-White SA were 17% less likely (adjusted hazard ratio = 0.83; 95% confidence interval = 0.71, 0.97) to complete the RTP protocol, and Black SA were 17% more likely (adjusted hazard ratio = 1.17; 95% confidence interval = 1.05, 1.31) to reach the URTP time point compared with White SA., Conclusions: The present findings suggest collegiate SA enrolled in the Concussion Assessment, Research, and Education Consortium are primarily White and come from household incomes well above the US median. Race was not associated with RTL or iRTP but was associated with RTP protocol duration and total time to URTP. Clinicians should be conscientious of how their implicit or preconceived biases may influence SRC management among National Collegiate Athletic Association SA., (Copyright © 2023 by the American College of Sports Medicine.)

Introduction: Bicycles are a source of transportation, recreation, and exercise throughout the world. Bicycling is associated with both health and environmental benefits but also poses a risk of injury. The use of bicycle helmets has been shown to reduce morbidity and mortality associated with cycling. It is unknown if helmet use differs across Wisconsin geographic areas and sociodemographic groups., Methods: Data were obtained from the Survey of the Health of Wisconsin (SHOW). Bicycle use and helmet use frequency were determined from a self-administered questionnaire that contained questions specific to preventative health behaviors. Descriptive statistics summarized overall bicycle ridership. Chi-square and Student t tests were performed to assess relationships between bicycle and helmet use across geographic categories and sociodemographic groups., Results: Differences between sex, race or ethnicity, and education level were found to be associated with bicycle ridership and the frequency of helmet use. Men were significantly more likely to report riding a bicycle and never wearing a helmet. Individuals from urban communities reported always wearing a helmet more often than rural communities. Higher education levels were associated with higher levels of bicycle and helmet use. Race or ethnicity was not associated with bicycle ridership but was associated with differences in helmet use frequency., Conclusion: Nearly half of those who ride bicycles in Wisconsin report never wearing a helmet. Since bicycle ridership and helmet use were found to be associated with a number of sociodemographic characteristics, any solution should consider the role of equity when attempting to increase ridership or helmet use., (Copyright© Board of Regents of the University of Wisconsin System and The Medical College of Wisconsin, Inc.)