Injury risk factors related to sport specialization in high school basketball: a prospective study.

CONTEXT: Research that has examined the association between specialization and injury in basketball has been limited to cross-sectional or retrospective studies. OBJECTIVE: To determine whether specialization is a risk factor for injury among high school basketball athletes. DESIGN: Prospective cohort study. SETTING: Basketball players from 12 high schools participating in the National Athletic Treatment, Injury, and Outcomes Network Surveillance Program (NATION-SP) were recruited prior to the 2022-2023 interscholastic basketball season. PATIENTS OR OTHER PARTICIPANTS: 130 athletes (mean age (SD) = 15.6 (1.3); girls' basketball: n=68 (52.3%)). MAIN OUTCOME MEASURES: Participants completed a questionnaire prior to the start of their school basketball season that had questions regarding participation in various specialized sport behaviors. During the basketball season, the school's athletic trainer reported all athletic exposures (AEs) and injuries (regardless of time loss) for participating athletes into NATION-SP. Injury incidence (IR) and incidence rate ratios (IRR) with 95% confidence intervals [95%CI] were calculated for the specialized sport behaviors previously described. RESULTS: There was no difference in injury risk between highly specialized and low specialized athletes (IRR [95%CI]: 1.9 [0.9, 3.7]). Players who participated in basketball year-round were twice as likely to sustain an injury compared to those who did not play year-round (IRR [95%CI]: 2.1 [1.1, 3.6]). Similarly, players who reported participating in basketball skills camps were at increased risk of injury compared to athletes who did not participate in basketball skill camps (IRR [95%CI]: 2.5 [1.2, 5.7]). CONCLUSION: Injury risk related to sport specialization in basketball may be specific to certain behaviors such as year-round play and participation in skills camps. Validated measures of comprehensive sport activity are needed to better measure specialization in youth sports to better determine injury risk related to sport specialization and develop injury prevention programs for basketball athletes.

The Influence of Race, Socioeconomic Status, and Physical Activity on the Mental Health Benefits of Sport Participation During COVID-19.

BACKGROUND: The purpose of this study was to compare the benefits of sport participation with no sport participation during the COVID-19 pandemic and determine the moderating effects of race and ethnicity, socioeconomic status (SES), and physical activity (PA) on mental health in adolescent athletes. HYPOTHESIS: Sport participation would be associated with greater improvements in mental health for athletes from racial and ethnic minority and lower SES groups compared with White and high SES groups. PA would mediate <30% of the mental health benefits of sport participation. STUDY DESIGN: Cross-sectional study. LEVEL OF EVIDENCE: Level 4. METHODS: In May 2021, adolescent athletes completed an online survey (demographics, sport participation, measures of anxiety and depression, PA). Participants were classified as those who played sports (PLY) and those who did not (DNP). Mental health symptoms for the PLY and DNP groups were compared via analysis of variance models that controlled for demographic variables. Moderating analyses assessed the interaction of sport participation status by (1) race and ethnicity (White/non-White) and (2) SES (high/low) with mental health. Mediation analyses assessed the degree that PA scores explained the differences in anxiety and depression between the 2 groups. RESULTS: Participants included 4874 adolescent athletes (52% female; age, 16.1 ± 1.3 years; PLY, 91%). Athletes who returned to sport from racial minority groups and low SES had greater decreases in anxiety (race and ethnicity: interaction estimate (b) = -1.18 ± 0.6, P = 0.04; SES, b = -1.23 ± 0.5, P = 0.02), and depression (race and ethnicity: b = -1.19 ± 0.6, P = 0.05; SES, b = -1.21 ± 0.6, P = 0.03) compared with White and high SES athletes, respectively. PA explained 24% of anxiety (P < 0.01) and 20% of depression scores (P < 0.01). CONCLUSION: Athletes who identify as a racial or ethnic minority and from areas of lower household income experienced disproportionately greater negative mental health impacts from sport restrictions during COVID-19. CLINICAL RELEVANCE: Improving access to sports in traditionally underserved areas may have significant mental health impact for adolescents.

Sport Specialization and Sport Motivation in Middle School-Aged Athletes.

CONTEXT: Sport specialization has been assumed to have psychosocial ramifications for athletes, especially autonomous motivation, which has been associated with continued sport participation. Sport dropout is common in youth athletes, yet it is unknown how sport specialization may affect this population psychosocially. OBJECTIVE: To determine the association of sport specialization with autonomous and controlled motivation and amotivation in middle school-aged athletes. DESIGN: Cross-sectional study. SETTING: An anonymous online questionnaire was distributed to athletes via schools, club sports, and social media. PATIENTS OR OTHER PARTICIPANTS: A total of 178 athletes (male = 59%; private school = 51%; grade: sixth = 20%, seventh = 32%, eighth = 48%) completed the questionnaire. MAIN OUTCOME MEASURE(S): The questionnaire assessed demographics, sport participation, and motivation using the Youth Behavioral Regulation in Sport Questionnaire. Sport specialization was defined using a modified 3-point scale (low, moderate, or high) and multisport versus single-sport athletes. Nonparametric tests were used to analyze the differences among the types of motivation and specialization levels and between multisport and single-sport athletes. RESULTS: Sport specialization categories were not significantly associated with autonomous motivation, controlled motivation, or amotivation. No significant associations were present between multisport or single-sport athletes and any type of motivation. However, multisport athletes had higher scores for intrinsic motivation, a subscale of autonomous motivation, compared with single-sport athletes (single sport: median = 5.00, 25th-75th quartile = 4.50-5.00; multisport: median = 5.00, 25th-75th quartile = 5.00-5.00; P = .04). CONCLUSIONS: Sport motivation did not differ between sport specialization groups in middle school athletes. Dropout from sport is common in this age group but is multifactorial in nature. A lack of sport motivation could be a factor for some athletes, but all specialization groups appeared to have similar outcomes. Our exploratory analysis suggests that clinicians may consider having an open dialogue with single-sport athletes, their parents or guardians, and coaches to ensure that athletes are enjoying their sport.

Youth Sport Participation Experiences From the Perspective of Hispanic/Latinx Parents and Their Children.

Hispanic/Latinx communities remain an underserved population in terms of health and physical activity opportunities. The rise of sport specialization can jeopardize these opportunities. Understanding the appeal and welcomeness that minoritized populations feel toward sport and sport specialization culture can play an important role in health promotion and breaking down barriers that widen the gap on physical activity levels in Hispanic/Latinx communities. To date, these studies have not qualitatively investigated Hispanic/Latinx youth sport dyads (parent and child) and how sport specialization perceptions have affected their sport participation experiences. We used a qualitative interpretative phenomenological analysis to explore experiences of Hispanic/Latinx high school athletes. We engaged in semistructured interviews with 12 parent-child dyads. The following 3 interrelated themes emerged: (a) expectations of youth sport participation, (b) meeting expectations of youth sport participation, (c) and (mis)alignment of cultures. Dyads describe a negative youth sport experience when both cultures do not align because of the rise in sport specialization and pay-to-play culture. Findings indicate that dyads understand what is necessary to participate in organized sport and do this by methods that are rooted in their Hispanic/Latinx culture.

COVID-19 Planning in United States Adolescent Sports: A Survey of 1880 Organizations Representing More Than 500 000 Youth Athletes.

CONTEXT: High schools and youth sport organizations that restarted participation in the fall of 2020 during the COVID-19 pandemic relied on information sources to develop risk-mitigation procedures. OBJECTIVE: To compare the risk-mitigation procedures and information sources used by high school athletic departments and youth sport organizations. DESIGN: Cross-sectional study. SETTING: Surveys of high school and youth sport organization programs from across the United States. PATIENTS OR OTHER PARTICIPANTS: A total of 1296 high schools and 584 youth sport organizations, representing 519 241 adolescent athletes, responded to the surveys. MAIN OUTCOME MEASURE(S): Surveys regarding restarting sport, COVID-19 cases, risk-reduction procedures, and the information sources used to develop risk-reduction plans in the fall of 2020 were distributed to high school athletic directors and youth sport directors throughout the United States. The proportions of high schools and youth sport organizations using different risk-reduction procedures and information sources were compared using the χ2 test. RESULTS: High schools used more risk-reduction procedures than did youth sport organizations (high schools = 7.1 ± 2.1 versus youth sport organizations = 6.3 ± 2.4; P < .001) and were more likely than youth sport organizations to use symptom monitoring (high schools = 93% versus youth sport organizations = 85%, χ2 = 26.3; P < .001), temperature checks on site (66% versus 49%, χ2 = 53.4; P < .001), face masks for athletes during play (37% versus 23%, χ2 = 38.1; P < .001) and when off the field (81% versus 71%, χ2 = 26.1; P < .001), social distancing for staff (81% versus 68%, χ2 = 43.3; P < .001) and athletes off the field (83% versus 68%, χ2 = 57.6; P < .001), and increased facility disinfection (92% versus 70%, χ2 = 165.0; P < .001). Youth sport organizations relied more on information from sport national governing bodies than did high schools (youth sport organizations = 52% versus high schools = 10%, χ2 = 411.0; P < .001), whereas high schools were more likely to use information from sources such as the National Athletic Trainers' Association (high schools = 20% versus youth sport organizations = 6%, χ2 = 55.20; P < .001) and the National Federation of State High School Associations (high schools = 72% versus youth sport organizations = 15%, χ2 = 553.00; P < .001) for determining risk-reduction strategies. CONCLUSIONS: High schools and youth sport organizations reported using a broad range of risk-reduction procedures, but the average number was higher among high schools than youth sport organizations. Use of information from the Centers for Disease Control and Prevention and local health authorities was high overall, but use of information from professional health care organizations was low. Professional health care organizations should consider using additional measures to improve information uptake among stakeholders in youth sports.

The Association of Sport Specialization and Concussion History on Self-Reported Depressive Symptoms and Quality of Life Among High School Athletes.

OBJECTIVE: To assess the association of sport specialization combined with sport-related concussion (SRC) history on depression and health-related quality of life (HRQoL) in a population of high school athletes. DESIGN: Cross-sectional study. SETTING: High schools. PARTICIPANTS: Two thousand four hundred fifty-three athletes through the State of Wisconsin. INDEPENDENT VARIABLES: Sport specialization and SRC history. MAIN OUTCOME MEASURES: Athletes completed questionnaires reporting their SRC history, sports participation (single-sport or multisport), Patient Health Questionnaire-9 (PHQ-9), and Pediatric Quality of Life 4.0 (PedsQL). We used multivariate binary logistic regression to assess the odds ratio (OR) for depressive symptoms based on SRC and sport participation history. Separate multilinear regression evaluated the association between the PedsQL, SRC, and sport participation history. The interaction of sport specialization and SRC history was explored in both regression models. RESULTS: High school athletes who participated in single-sport activities had a greater odds of reporting higher severity of depressive symptoms on PHQ-9 scores (OR, 1.50; 95% CI, 1.11-2.02) and reduced PedsQL ( P < 0.001) compared with their multisport counterparts. There were no associations between SRC history and either PHQ-9 or PedsQL scores. Statistically significant interactions between sport specialization and SRC were not found among all models. CONCLUSION: Single-sport high school athletes reported a reduction in HRQoL measures along with higher depressive symptoms when compared with the multisport athletes. The SRC history did not have a lingering effect on depression or HRQoL in this study. These findings raise some interesting concerns regarding the quality of mental health in adolescent athletes solely focused on single-sport endeavors.

Does Increased Physical Activity Explain the Psychosocial Benefits of Sport Participation During COVID-19?

CONTEXT: Although the return to sports during COVID-19 has been associated with improvements in mental health and quality of life (QOL), whether these benefits are primarily due to increases in physical activity (PA) is unknown. OBJECTIVE: To determine whether PA increases were responsible for the improvements in mental health and QOL among adolescents who returned to sport during the COVID-19 pandemic. DESIGN: Cross-sectional study. SETTING: Wisconsin secondary schools. PATIENTS OR OTHER PARTICIPANTS: A total of 559 adolescent athletes (age = 15.7 + 1.2 years, females = 43.6%) from 44 schools completed a survey in October 2020. MAIN OUTCOME MEASURE(S): Demographic information, whether they had returned to sport participation, school instruction type, anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), QOL (Pediatric Quality of Life Inventory 4.0), and PA (Hospital for Special Surgery Pediatric Functional Activity Brief Scale). Mediation analysis was used to assess whether the relationships between sport status and anxiety, depression, and QOL were mediated by PA. RESULTS: At the time of the study, 171 (31%) had returned to play and 388 (69%) had not. Athletes who had returned to play had less anxiety (3.6 ± 0.4 versus 8.2 ± 0.6, P < .001) and depression (4.2 ± 0.4 versus 7.3 ± 0.6, P < .001) and higher QOL (88.1 ± 1.0 versus 80.2 ± 1.4, P < .001) and more PA (24.0 ± 0.5 versus 16.3 ± 0.7, P < .001). Physical activity explained a significant, but small, proportion of the difference in depression (22.1%, P = .02) and QOL (16.0%, P = .048) but not anxiety (6.6%, P = .20) between athletes who had and those who had not returned to play. CONCLUSIONS: Increased PA was responsible for only a small portion of the improvements in depression and QOL among athletes who returned to sports. This suggests that most of the mental health benefits of sport participation for adolescents during the COVID-19 pandemic were independent of the benefits of increased PA.

Secondary School Athletic Trainers' Strategies and Barriers to Overuse Injury Treatment in Adolescent Athletes.

CONTEXT: Studies have illustrated that overuse injuries occur in adolescent athletes more often than previously reported. The general purpose of this study was to provide a thorough report of secondary school athletic trainers encounters, practices, and perceptions of overuse injury in adolescent athletes. DESIGN: Cross-sectional. METHODS: An anonymous online questionnaire was distributed via email to athletic trainers in the secondary school setting. The questionnaire was sent to participants during the summer of 2021 and 430 participants (highest educational degree earned: master's degree = 66%) completed the survey. Various survey methods were used to evaluate athletic trainers (1) demographics, (2) estimations about what percentage of injuries evaluated and treated were classified as overuse, (3) methods for treating overuse injuries, (4) confidence in treating overuse injuries and the complete implementation of their treatment plan, (5) perceptions of various barriers to treating overuse injuries, and (6) perception as to why patients did not want to reduce activity to treat their overuse injuries. RESULTS: Participants reported that about half of all evaluations and treatments in a year were overuse injuries and they were "fairly" or "completely" confident (90%) in their ability to treat these injuries. The most common treatments cited were stretching (91%) and reducing activity (90%). Only 61% of participants were "fairly" or "completely" confident in the complete implementation of their treatment plan. Participants believed that patients' reluctance to reduce sport activities (82% "moderate" or "extreme" barrier) was the most significant barrier to treatment. Participants cited athletes' avoidance of missing games as the most common reason athletes were reluctant to reduce sporting activity. CONCLUSIONS: Participants felt confident in treating overuse injuries yet faced significant barriers in treating these injuries. Clinicians should be prepared to have conversations about the importance of reducing sporting activity to allow proper healing for overuse injuries in adolescent athletes.

A Multiyear Assessment of the Effect of Sport Participation on the Health of Adolescent Athletes During the COVID-19 Pandemic.

CONTEXT: Sport cancellations early in the COVID-19 pandemic had a significant negative effect on the health of US adolescents. The effect of restarting sports during the pandemic has not been described. OBJECTIVE: To identify the effect of sport participation on the health of adolescents before and during the COVID-19 pandemic. DESIGN: Cross-sectional study. SETTING: Sample recruited via social media. PATIENTS OR OTHER PARTICIPANTS: Wisconsin adolescent athletes. MAIN OUTCOME MEASURE(S): Participants provided information regarding their age, sex, and sport(s) involvement and completed the Patient Health Questionnaire-9 Item to assess depression symptoms, the Hospital for Special Surgery Pediatric Functional Activity Brief Scale to measure physical activity, and the Pediatric Quality of Life Inventory 4.0 to measure quality of life (QoL). Data were collected in spring 2021 (Spring21; n = 1906, age = 16.0 ± 1.2 years, females = 48.8%), when interscholastic sports had fully resumed, and were compared with similar cohorts of adolescent athletes at 2 time points: (1) spring 2020 (Spring20; n = 3243, age = 16.2 ± 1.2 years, females = 57.9%) when sports were cancelled and (2) 2016-2018 (PreCOVID-19) before the pandemic (n = 5231, age = 15.7 ± 1.1 years, females = 65.0%). Comparisons were conducted via analysis-of-variance models and ordinal regressions with age and sex as covariates. RESULTS: The prevalence of moderate to severe depression was lower in Spring21 than in Spring20 but higher than in PreCOVID-19 (PreCOVID-19 = 5.3%, Spring20 = 37.8%, Spring21 = 22.8%; P < .001). Physical activity scores (mean [95% CI]) were higher in Spring21 than in Spring20 but lower than in PreCOVID-19 (PreCOVID-19 = 23.1 [22.7, 23.5], Spring20 = 13.5 [13.3, 13.7], Spring21 = 21.9 [21.6, 22.2]). Similarly, QoL scores were higher in Spring21 than in Spring20 but lower than in PreCOVID-19 (PreCOVID-19 = 92.8 [92.5, 93.1], Spring20 = 80.7 [80.3, 81.1], Spring21 = 84.3 [83.8, 84.8]). CONCLUSIONS: Although sports have restarted, clinicians should be aware that physical activity, mental health, and QoL are still significantly affected in adolescent athletes by the ongoing pandemic.

Impact of COVID-19 on the physical activity, quality of life and mental health of adolescent athletes: a 2-year evaluation of over 17 000 athletes.

PURPOSE: To evaluate the changes in mental health, quality of life (QOL) and physical activity (PA) among adolescent athletes during the COVID-19 pandemic as organised sports resumed. METHODS: Adolescent athletes completed surveys including demographic and sport participation information, 7-item Generalized Anxiety Disorder, 9-item Patient Health Questionnaire, Pediatric Quality of Life Inventory and the Hospital for Special Surgery Pediatric Functional Activity Brief Scale in May 2020 following COVID-19-related sport cancellations (Spring20) and after returning to sports in May 2021 (Spring21). The groups were balanced by inverse propensity score weighting and compared using analysis of variance models and ordinal regression models. RESULTS: 17 421 participants were included (Spring20=13 002; Spring21=4419; 16.2±1.2 years; 53% female). Anxiety was significantly lower (better) in Spring21 (Spring20=7.0, 95% CI 6.9 to 7.1; Spring21=4.9, 95% CI 4.8 to 5.0, p<0.001), as was the prevalence of moderate to severe anxiety (Spring20=29.4%, Spring21=17.1%, p<0.001). Depression was significantly improved in Spring21 (Spring20=7.6, 95% CI 7.5 to 7.7; Spring21=4.6, 95% CI 4.5 to 4.8, p<0.001), as was the prevalence of moderate to severe depression (Spring20=32.2%, Spring21=15.4%, p<0.001). Athletes in Spring21 reported higher QOL (Spring20=79.6, 95% CI 79.3 to 79.9; Spring21=84.7, 95% CI 84.4 to 85.0, p<0.001) and increased levels of PA (Spring20=13.8, 95% CI 13.6 to 13.9; Spring21=22.7, 95% CI 22.6 to 22.9, p<0.001). CONCLUSION: Early COVID-19 sports restrictions were associated with worsening mental health in adolescents. In 2021, after returning to sports, athletes reported significant improvements in mental health, QOL and PA, although mental health adversities remain an important priority.

Secondary School Athletic Trainers' Navigation of Patient Socioeconomic Status Challenges in Care: A Qualitative Study.

Secondary school ATs (SSATs) are uniquely positioned healthcare providers at an optimal public health intersection where they can provide equitable healthcare to low socioeconomic status (SES) adolescents. SSATs face similar challenges to physicians in treating low SES patients, but their strategies may be different compared to other medical professions. However, the consequences of low SES population healthcare delivery by SSATs have not been explored. SSATs were asked to share what challenges, if any, they encounter with providing care for their low SES patients and what strategies they find most effective to overcome these challenges. Data were collected via semi-structured interviews and reflective field notes and analyzed using a four-step, interpretative phenomenological analysis (IPA) guided theme development. Data saturation was met, and the sample size aligned with other IPA studies. Trustworthiness was established with research triangulation and Yardley's four principles. Three interrelated themes emerged: (a) mechanisms for identifying SES, (b) the impact of SES on care, and (c) navigating SES challenges. SSATs described many strategies that were gained through their clinical experiences to overcome healthcare barriers. SSATs have the potential to decrease health disparities through their role as a liaison and advocates for their low SES patients.

Reported COVID-19 Incidence in Indoor Winter Sports Among US High-School Athletes.

OBJECTIVE: To evaluate the association between COVID-19 incidence among high-school athletes participating in different indoor winter sports and attending schools with in-person versus virtual instructional delivery. DESIGN: Cross-sectional survey. SETTING: US high schools. PARTICIPANTS: High-school athletic directors. INDEPENDENT VARIABLES: Indoor winter sports, school instructional delivery method, and state COVID-19 incidence. MAIN OUTCOME MEASURES: Surveys were distributed to high-school athletic directors throughout the United States regarding sport reinitiation and COVID-19 cases in winter 2020 to 2021. Separate mixed effects Poisson regression models were developed to evaluate the associations between reported COVID-19 incidence and (1) different sports and (2) school instructional delivery method, while adjusting for the background, state COVID-19 incidence. RESULTS: Four hundred thirty schools had restarted fall sports, representing 31 274 athletes on 1404 teams from 14 states. One thousand four hundred sixty cases of COVID-19 were reported, representing a case rate of 4668 cases per 100 000 athletes and an incidence rate of 58.7 cases per 100 000 player-days. Reported COVID-19 incidence was greatest among girls' hockey (82.1 cases per 100 000 player-days (95% CI, 56.8-115) and boys' hockey [76.7 (61.8-94.2)] and lowest among swimming [39.0 (31.1-48.2)] and gymnastics [28.5 (13.1-54.2)]. No difference in reported COVID-19 incidence was identified among athletes attending schools with virtual versus in-person instruction [incidence rate ratio = 0.86 (0.52-1.4)]. CONCLUSIONS: In this nationwide survey of US high-school athletic directors regarding indoor winter sports, reported COVID-19 incidence was lower in noncontact sports but unrelated to school instructional delivery method. This information may help guide decision-making regarding high-school sport participation during the COVID-19 pandemic.

The Psychosocial Benefits of Sport Participation During COVID-19 Are Only Partially Explained by Increased Physical Activity.

The purpose of this study was to determine whether physical activity (PA) increases were responsible for the improvements in mental health and quality of life (QOL) seen among adolescents who returned to sport during the COVID-19 pandemic.Adolescent athletes were asked to complete a survey in October 2020 regarding demographic information, whether they had returned to sport participation (no [DNP], yes [PLY]), school instruction type (virtual, in-person, hybrid), anxiety, depression, QOL, and PA. Anxiety, depression, QOL and PA were compared between PLY and DNP using least squares means from linear models adjusted for age, gender, and instruction type. Mediation analysis assessed whether the relationship between sport status and anxiety, depression, and QOL was mediated by PA. 171 athletes had returned to play, while 388 had not. PLY athletes had significantly lower anxiety (3.6±0.4 v 8.2±0.6, p<0.001) and depression (4.2±0.4 v 7.3±0.6, p<0.001), and significantly higher QOL (88.1±1.0 v 80.2±1.4, p<0.001) and PA (24.0±0.5 v 16.3±0.7, p<0.001). PA explained a significant, but relatively small portion of the difference in depression (22.1%, p=0.02) and QOL (16.0%, p=0.048) between PLY and DNP athletes, but did not explain the difference in anxiety (6.6%, p=0.20). Increased PA is only responsible for a small portion of the improvements in depression and QOL among athletes who returned to sports and unrelated to improvements in anxiety. This suggests that the majority of the mental health benefits of sport participation for adolescents during the COVID-19 pandemic are independent of, and in addition to, the benefits of increased PA.

High School Sports During the COVID-19 Pandemic: The Effect of Sport Participation on the Health of Adolescents.

CONTEXT: During the fall of 2020, some high schools across the United States allowed their students to participate in interscholastic sports while others cancelled or postponed their sport programs due to concerns regarding COVID-19 transmission. What effect this has had on the physical and mental health of adolescents is unknown. OBJECTIVE: To identify the effect of playing a sport during the COVID-19 pandemic on the health of student-athletes. DESIGN: Cross-sectional study. SETTING: Sample recruited via email. PATIENTS OR OTHER PARTICIPANTS: A total of 559 Wisconsin high school athletes (age = 15.7 ± 1.2 years, female = 43.6%, male = 56.4%) from 44 high schools completed an online survey in October 2020. A total of 171 (30.6%) athletes played (PLY) a fall sport, while 388 (69.4%) did not play (DNP). MAIN OUTCOME MEASURE(S): Demographic data included sex, grade, and sport(s) played. Assessments were the General Anxiety Disorder-7 Item for anxiety, Patient Health Questionnaire-9 Item for depression, the Hospital for Special Surgery Pediatric Functional Activity Brief Scale for physical activity, and the Pediatric Quality of Life Inventory 4.0 for quality of life. Univariable comparisons between the 2 groups were made via t tests or χ2 tests. Means for each continuous outcome measure were compared between groups using analysis-of-variance models that controlled for age, sex, teaching method (virtual, hybrid, or in person), and the percentage of students eligible for free or reduced-price lunch. RESULTS: The PLY group participants were less likely to report moderate to severe symptoms of anxiety (PLY = 6.6%, DNP = 44.1%, P < .001) and depression (PLY = 18.2%, DNP = 40.4%, P < .001). They also demonstrated higher (better) Pediatric Functional Activity Brief Scale scores (PLY = 23.2 [95% CI = 22.0, 24.5], DNP = 16.4 [95% CI = 15.0, 17.8], P < .001) and higher (better) Pediatric Quality of Life Inventory total scores (PLY = 88.4 [95% CI = 85.9, 90.9], DNP = 79.6 [95% CI = 76.8, 82.4], P < .001). CONCLUSIONS: Adolescents who played a sport during the COVID-19 pandemic described fewer symptoms of anxiety and depression and had better physical activity and quality-of-life scores compared with adolescent athletes who did not play a sport.

The Relationships Between Sport Specialization, Sleep, and Quality of Life in Female Youth Volleyball Athletes.

BACKGROUND: Although sport specialization may be associated with stress and burnout among youth athletes, the relationship with quality of life (QOL) remains unknown. The purpose of this study was to evaluate the relationship between sport specialization, sleep, and QOL in female youth athletes. HYPOTHESIS: Higher levels of specialization are associated with increased daytime sleepiness and worse QOL. STUDY DESIGN: Cross-sectional study. LEVEL OF EVIDENCE: Level 4. METHODS: Female high school volleyball players completed preseason surveys to determine sport specialization (low, moderate, high), injury history, QOL, sleep duration, and daytime sleepiness. QOL and sleep variables were compared across specialization groups. Multivariable linear regression models were developed to evaluate the associations between sleepiness, QOL, specialization, grade in school, and injury history. RESULTS: Of 1482 participants, 591 (40%), 436 (29%), and 455 (31%) were categorized as low, moderate, and high specialization, respectively. Highly specialized athletes demonstrated worse QOL (median 91.3 [interquartile range 86-96]) than low (92.4 [88-97], P = 0.05) and moderate (93.5 [88-99], P = 0.05) specialization groups and greater daytime sleepiness (11 [7-15]) than low (10 [6-14], P < 0.001) and moderate (10 [6-14], P < 0.001) specialization groups. In the multivariable model, QOL was negatively associated with prior injury occurrence (ß = -1.1 ± 0.5, P = 0.02), but not grade in school (ß = -0.08 ± 0.2, P = 0.71) or specialization (moderate: ß = 0.08 ± 0.5, P = 0.88; high: ß = -0.70 ± 0.5, P = 0.18). Daytime sleepiness increased with high specialization (ß = 1.12 ± 0.3, P < 0.001) and grade (ß = 0.76 ± 0.1, P < 0.001), but not prior injury (ß = 0.51 ±0.3, P = 0.10). CONCLUSION: Highly specialized female volleyball athletes demonstrate decreased QOL, perhaps because of higher rates of prior injury. Specialization is also associated with increased daytime sleepiness. CLINICAL RELEVANCE: Sport participation patterns and injury may have implications for QOL in youth athletes.

Reported COVID-19 Incidence in Wisconsin High School Athletes in Fall 2020.

OBJECTIVE: To describe the incidence of COVID-19 in Wisconsin high school athletes and investigate the relationship of COVID-19 incidence with sport and face mask use. DESIGN: Retrospective survey. SETTING: High schools across Wisconsin during September 2020. PATIENTS OR OTHER PARTICIPANTS: Athletic directors representing 30 074 high school athletes with or without SARS-CoV-2. MAIN OUTCOME MEASUREMENT(S): The COVID-19 rates among athletes, counties, states, as well as school instruction type (virtual versus in person), sport type, and face mask use were assessed. Reported athlete case rates were compared with the county's general population and associations between COVID-19 incidence and sport type and face mask use, adjusting for each school's county incidence using multivariable negative binomial regression models. RESULTS: The COVID-19 incidence rates for 207 of 244 responding schools were 32.6 cases per 100 000 player-days. Reported case rates for athletes in each county were positively correlated with the county's general population case rates (ß = 1.14 ± 0.20, r = 0.60, P < .001). One case (0.5%) was attributed to sport contact by the reporting schools. No difference was identified between team and individual sports (incidence rate ratio [IRR] = 1.03 [95% CI = 0.49, 2.2], P = .93) or between noncontact and contact sports (IRR = 0.53 [0.23, 1.3], P = .14). Outdoor sports had a lower incidence rate than indoor sports, although this finding did not reach statistical significance (IRR = 0.52 [0.26, 1.1], P = .07). No significant associations were found between COVID-19 incidence and face mask use during play for those sports with greater than 50 schools reporting on face mask use (P values > .05). CONCLUSIONS: The incidence of reported COVID-19 among high school athletes was related to the county incidence, and most cases were attributed to nonsport contact. A lower COVID-19 incidence in outdoor sports approached statistical significance. The lack of a significant benefit demonstrated for face mask use may be due to relatively low rates of COVID-19 in Wisconsin during September 2020. Further research is needed to better define COVID-19 transmission risk factors during adolescent sport participation.

The Association of COVID-19 Incidence with Sport and Face Mask Use in United States High School Athletes.

CONTEXT: The relationships between different sports, face mask use and COVID-19 risk among high school athletes remains unknown. OBJECTIVE: The purpose of this study was to evaluate the influence of sport characteristics and face mask use on COVID-19 incidence among high school athletes. DESIGN: Descriptive Epidemiology Study Setting: United States High School Athletic Departments Participants: Athletic Directors Interventions: None Main Outcome Measures: Surveys were completed regarding sport re-initiation, COVID-19 cases, and risk reduction procedures in fall 2020. Separate mixed effects Poisson regression models were developed to evaluate the associations between reported COVID-19 incidence and 1) sport characteristics (contact/non-contact, individual/team, indoor/outdoor) and 2) face mask use while playing (yes/no). RESULTS: 991 schools had restarted fall sports, representing 152,484 athletes on 5,854 teams. 2,565 cases of COVID-19 were reported, representing a case rate of 1,682 cases per 100,000 athletes and an incidence rate of 24.6 cases per 100,000 player-days. COVID-19 incidence was lower among outdoor versus indoor sports (incidence rate ratio [IRR]=0.54, 95% CI=0.49-0.60, p<0.001) and non-contact versus contact sports (IRR=0.78 [0.70-0.87], p<0.001), but not team versus individual sports (IRR=0.96 [0.84-1.1], p=0.49). Face mask use was associated with a decreased incidence in girls' volleyball (IRR=0.53 [0.37-0.73], p<0.001), boys' basketball (IRR=0.53 [0.33-0.83], p=0.008) and girls' basketball (IRR=0.36 [0.19-0.63], p<0.001), and approached statistical significance in football (IRR=0.79 [0.59-1.04], p=0.10) and cheer/dance (IRR=0.75 [0.53-1.03], p=0.081). CONCLUSIONS: In this nationwide survey of high school athletes, lower COVID-19 incidence was independently associated with participation in outdoor versus indoor and non-contact versus contact sports, but not team versus individual sports. Face mask use was associated with decreased COVID-19 incidence among indoor sports, and may be protective among outdoor sports with prolonged close contact between participants.

COVID-19 in US Youth Soccer Athletes During Summer 2020.

CONTEXT: As sports are reinitiated around the United States, the incidence of COVID-19 among youth soccer athletes remains unknown. OBJECTIVE: To determine the incidence of COVID-19 among youth soccer athletes and the risk-mitigation practices used by youth soccer organizations. DESIGN: Cohort study. SETTING: Survey distributed to Elite Clubs National League member clubs. PATIENTS OR OTHER PARTICIPANTS: Youth soccer club directors throughout the United States. MAIN OUTCOME MEASURE(S): Surveys were completed in late August 2020 regarding the club's current phase of return to soccer (individual only, group noncontact, group contact), date of reinitiation, number of players, cases of COVID-19, and risk-reduction procedures being implemented. Case and incidence rates were compared with national pediatric data and county data from the prior 10 weeks. A negative binomial regression model was developed to predict club COVID-19 cases using the local incidence rate and phase of return as covariates and the log of club player-days as an offset. RESULTS: A total of 124 respondents had reinitiated soccer, representing 91 007 players with a median duration of 73 days (interquartile range = 53-83 days) since restarting. Of the 119 clubs that had progressed to group activities, 218 cases of COVID-19 were reported among 85 861 players. Youth soccer players had a lower case rate and incidence rate than children in the United States (254 versus 477 cases per 100 000; incidence rate ratio = 0.511, 95% CI = 0.40, 0.57; P < .001) and the general population in the counties where data were available (268 versus 864 cases per 100 000; incidence rate ratio = 0.202, 95% CI = 0.19, 0.21; P < .001). After adjusting for the local COVID-19 incidence, we found no relationship between the club COVID-19 incidence and the phase of return (noncontact: b = 0.35 ± 0.67, P = .61; contact: b = 0.18 ± 0.67, P = .79). Soccer clubs reported using a median of 8 (interquartile range = 6-10) risk-reduction procedures. CONCLUSIONS: The incidence of COVID-19 among youth soccer athletes was relatively low when compared with the background incidence among children in the United States during the summer of 2020. No relationship was identified between the club COVID-19 incidence and the phase of return to soccer.

COVID-19 Risk in Youth Club Sports: A nationwide sample representing over 200,000 Athletes.

CONTEXT: The COVID-19 pandemic has affected almost every aspect of life including youth sports. Little data exists on COVID-19 incidences and risk mitigation strategies in youth club sports. OBJECTIVE: To determine the reported incidence of COVID-19 cases among youth club sport athletes and the information sources used to develop COVID-19 risk mitigation procedures. DESIGN: Cross-sectional study. SETTING: Online surveys. PATIENTS: Soccer and volleyball youth club directors. INTERVENTION: A survey was completed by directors of youth volleyball and soccer clubs across the country in October 2020. Surveys included self-reported date of re-initiation, number of players, player COVID-19 cases, sources of infection, COVID-19 mitigation strategies, and information sources for the development of COVID-19 mitigation strategies. MAIN OUTCOME MEASURES: Total number of cases reported, number of players, and days since club re-initiation were used to calculate an incidence rate of cases per 100,000 player-days. To compare reported incidence rates between soccer and volleyball, a negative binomial model was developed to predict player cases with sport and state incidence as covariates and log(player-days) as an offset. Estimates were exponentiated to yield a reported incidence rate ratio (IRR) with Wald confidence intervals. RESULTS: A total of 205,136 athletes (soccer=165,580; volleyball=39,556) were represented by 437 clubs (soccer=159; volleyball=278). Club organizers reported 673 COVID-19 cases (soccer=322; volleyball=351), for a reported incidence rate of 2.8 cases per 100,000 player-days (soccer=1.7, volleyball=7.9). Volleyball had a significantly higher reported COVID-19 incidence rate compared to soccer (reported IRR = 3.06 [2.0-4.6], p<0.001). Out of 11 possible mitigation strategies, the median number of strategies used by all clubs was 7 with an interquartile range of 2. CONCLUSIONS: The incidence of self-reported cases of COVID-19 was lower in soccer clubs than volleyball clubs. Most clubs report using many COVID-19 mitigation strategies to reduce the risk of COVID-19.