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.

The Associations Between Wellbeing and Injury Differ by Time Loss in Collegiate Athletes.

BACKGROUND: Self-reported wellbeing measures such as mood and soreness have been identified as predictors of injury risk. However, most research has focused on investigating time-loss injuries even though nontime-loss injuries are more prevalent. HYPOTHESIS: Impairments in sleep and subjective wellbeing would be associated with increased injury for both time-loss and nontime-loss injuries. STUDY DESIGN: Prospective longitudinal study. LEVEL OF EVIDENCE: Level 3. METHODS: During 2022, 127 athletes completed a daily survey that inquired about training load and sleep from the previous day along with mood, stress, and soreness on the current day. Incidence of injury was also monitored using documentation provided by athletes' respective athletic trainers. Mixed effect models were used to analyze the relationship between wellbeing and sleep measures with injury. RESULTS: Self-reported wellbeing, based most closely on soreness the day of injury, by National Collegiate Athletic Association Division 1 collegiate athletes was predictive of time-loss injuries, whereas no significant relationship was identified for nontime-loss injuries. Specifically, 1 unit increase in soreness was associated with a 39% increase in odds of sustaining a time-loss injury. CONCLUSION: This study found that subjective wellbeing and sleep have a different relationship with injury dependent upon whether the resulting injury leads to time loss. CLINICAL RELEVANCE: Self-reported wellbeing appears to be a relevant predictor of injury among collegiate athletes for time-loss injuries.

Anxiety and Depression Prevalence in Incoming Division I Collegiate Athletes From 2017 to 2021.

BACKGROUND: Young adults report increased rates of anxiety and depression than other age groups. Furthermore, young adult athletes experience additional stressors that may negatively impact their mental health. The aim of this study was to investigate the prevalence of anxiety and depression symptoms among Division I collegiate athletes and the influences of sex, sport type, and distance from home. HYPOTHESIS: It was hypothesized that self-reported levels of anxiety and depression would increase among this population during this timeframe. STUDY DESIGN: Cross-sectional. LEVEL OF EVIDENCE: Level 3. METHODS: Participants included 792 incoming Division I collegiate athletes. The Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) scores were completed by all incoming student athletes at a single institution as part of their preparticipation examination over 5 years. Both survey scores were categorized into different levels of severity and separately compared with chi-square tests. Continuous scores were modeled separately using negative binomial regression models including year, sex, sport type, and home location as covariates. RESULTS: Results showed consistent levels of anxiety and depression over time. Female athletes reported higher levels of both anxiety and depression than male athletes, and individual sport athletes reported higher levels of depression than team sport athletes. Distance from home was not associated with anxiety or depression levels. CONCLUSION: Overall, levels of anxiety and depression did not change in this population over this time period. However, differences in anxiety and depression were seen between sexes and depression between sport types. CLINICAL RELEVANCE: Understanding anxiety and depression risk factors among collegiate athletes can enhance early identification and intervention to improve mental health and allow for better allocation of resources to at-risk groups among Division I collegiate athletes.

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.

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.

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.

Emergency Preparedness for Sudden Cardiac Arrest in Amateur Athletic Union Basketball Teams: An Opportunity to Improve Outcomes in Higher Risk Athletes.

OBJECTIVE: To examine sudden cardiac arrest (SCA) awareness and emergency preparedness for SCA in Amateur Athletic Union (AAU) youth basketball teams. DESIGN: Cross-sectional survey of AAU coaches and administrators. SETTING: Random sampling of AAU club teams across the United States. PARTICIPANTS: AAU club coaches and/or administrators. INTERVENTIONS: Electronic survey (Qualtrics) accessed online and by cell phone. Each coach/administrator was invited to participate via email up to 3 times, spaced approximately 5 days apart. MAIN OUTCOME MEASURES: Established and practiced emergency action plan (EAP), cardiopulmonary resuscitation (CPR) training, and automated external defibrillator (AED) access. RESULTS: A total of 53/449 (12%) respondents completed the survey. Only 6% of responding AAU clubs had a written EAP and practiced it on an annual basis. Only 35% of clubs required CPR training for their coaches. Automated external defibrillator were available at practices and games in only 45% and 35% of AAU clubs, respectively. Over 50% of clubs did not have an affiliated athletic trainer or medical director. CONCLUSION: The vast majority of AAU clubs in this study lack proper emergency preparedness for SCA. Given male basketball players are at highest risk of SCA compared with other young athlete populations, urgent interventions are needed to improve awareness, standardize training, establish EAPs, and ensure access to AEDs in AAU clubs.

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.

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 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.

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.

Decreased Sleep and Subjective Well-Being as Independent Predictors of Injury in Female Collegiate Volleyball Players.

BACKGROUND: The relationship among sleep duration, subjective well-being, and injury risk in athletes is poorly defined. PURPOSE: To evaluate the independent effects of sleep duration, sleep quality, and subjective well-being on in-season injuries in collegiate female volleyball athletes. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: During a 9-month competitive season, 17 female National Collegiate Athletic Association (NCAA) Division I volleyball players reported mood, fatigue, stress, soreness, sleep duration (hours), and sleep quality every morning. Well-being measures were recorded from 0 (worst) to 5 (best), and all time-loss injuries were recorded by the team athletic trainer. Separate mixed-effects logistic regression models were used to evaluate the effects of sleep and subjective well-being on in-season injury. Each well-being variable was also included in a separate mixed-effects logistic regression model with sleep duration as a covariate. RESULTS: A total of 54 injuries were recorded during the study period. Compared with days without an injury, mood, fatigue, stress, soreness, sleep quality, and sleep duration were significantly worse the day before an injury occurred. In the separate prediction models, in-season injury was significantly predicted by fatigue (odds ratio [OR], 0.56 [95% CI, 0.36-0.86]; P = .008), mood (OR, 0.52 [95% CI, 0.35-0.78]; P = .002), stress (OR, 0.63 [95% CI, 0.42-0.94]; P = .023), soreness (OR, 0.54 [95% CI, 0.38-0.79]; P = .001), sleep quality (OR, 0.49 [95% CI, 0.34-0.7]; P < .001), and sleep duration (OR, 0.69 [95% CI, 0.55-0.87]; P = .001). In the multivariable models, sleep duration remained a significant independent predictor in each of the subsequent multivariable models (OR, 0.72-0.74; P < .05 for all), as did mood (OR, 0.55 [95% CI, 0.36-0.83); P = .005) and soreness (OR, 0.57 [95% CI, 0.39-0.83]; P = .003), while fatigue (OR, 0.65 [95% CI, 0.42-1]; P = .054) and stress (OR, 0.68 [95% CI, 0.45-1]; P = .061) no longer reached statistical significance. CONCLUSION: Increased sleep duration, mood, and decreased soreness were independently associated with a reduced risk of in-season injury in this cohort of female NCAA volleyball players.

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.

Decreased ventricular size and mass mediate the reduced exercise capacity in adolescents and adults born premature.

BACKGROUND: Premature birth is associated with lower levels of cardiorespiratory fitness (CRF) but the underlying mechanisms responsible remain unclear. This study assessed whether differences in cardiac morphology or function mediate differences in CRF among adolescents and young adults born preterm. METHODS: Adolescents and young adults born moderately to extremely premature (gestational age ≤ 32 weeks or birth weight < 1500 g) and age-matched term born participants underwent resting cardiac MRI and maximal exercise testing. Mediation analysis assessed whether individual cardiovascular variables accounted for a significant proportion of the difference in maximal aerobic capacity between groups. RESULTS: Individuals born preterm had lower VO2max than those born term (41.7 ±â€¯8.6 v 47.5 ±â€¯8.7, p < 0.01). Several variables differed between term and preterm born subjects, including systolic and diastolic blood pressure, mean pulmonary artery pressure, indexed left ventricular end-diastolic volume (LVEDVi), right ventricular end-diastolic volume (RVEDVi), LV mass (LVMi), LV stroke volume index (LVSVi), and LV strain (p < 0.05 for all). Of these variables, LVEDVi, RVEDVi, LVSVi, LVMi, and LV longitudinal strain were significantly related to VO2max (p < 0.05 for all). Significant portions of the difference in VO2max between term and preterm born subjects were mediated by LVEDVi (74.3%, p = 0.010), RVEDVi (50.6%, p = 0.016), and LVMi (43.0%, p = 0.036). CONCLUSIONS: Lower levels of CRF in adolescents and young adults born preterm are mediated by differences in LVEDVi, RVEDVi, and LVMi. This may represent greater risk for long-term cardiac morbidity and mortality in preterm born individuals.

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.

Changes in the Health of Adolescent Athletes: A Comparison of Health Measures Collected Before and During the COVID-19 Pandemic.

CONTEXT: In spring 2020, schools closed to in-person teaching and sports were cancelled to control the transmission of COVID-19. The changes that affected the physical and mental health among young athletes during this time remain unknown. OBJECTIVE: To identify changes in the health (mental health, physical activity, and quality of life) of athletes that occurred during the COVID-19 pandemic. DESIGN: Cross-sectional study. SETTING: Sample recruited via social media. PATIENTS OR OTHER PARTICIPANTS: A total of 3243 Wisconsin adolescent athletes (age = 16.2 ± 1.2 years, 58% female) were surveyed in May 2020 (During COVID-19). Measures for this cohort were compared with previously reported data for Wisconsin adolescent athletes (n = 5231; age = 15.7 ± 1.2 years, 47% female) collected in 2016 to 2018 (PreCOVID-19). MAIN OUTCOME MEASURE(S): Demographic information included sex, grade, and sport(s) played. Health assessments included the Patient Health Questionnaire-9 Item to identify depression symptoms, the Pediatric Functional Activity Brief Scale to gauge physical activity, and the Pediatric Quality of Life Inventory 4.0 to evaluate health-related quality of life. Univariable comparisons of these variables between groups were conducted via t or χ2 tests. Means and 95% CIs for each group were estimated using survey-weighted analysis-of-variance models. RESULTS: Compared with preCOVID-19 participants, a larger proportion of During COVID-19 participants reported moderate to severe levels of depression (9.7% versus 32.9%, P < .001). Scores of the During COVID-19 participants were 50% lower (worse) on the Pediatric Functional Activity Brief Scale (mean [95% CI] = 12.2 [11.9, 12.5] versus 24.7 [24.5, 24.9], P < .001) and the Pediatric Quality of Life Inventory 4.0 compared with the PreCOVID-19 participants (78.4 [78.0, 78.8] versus 90.9 [90.5, 91.3], P < .001). CONCLUSIONS: During the COVID-19 pandemic, adolescent athletes described increased symptoms of depression, decreased physical activity, and decreased quality of life compared with adolescent athletes in previous years.

Consensus Definition of Sport Specialization in Youth Athletes Using a Delphi Approach.

CONTEXT: A single, widely accepted definition of sport specialization does not currently exist. A consensus definition is necessary to guide youth sport stakeholders on topics associated with sport specialization. OBJECTIVE: To develop a consensus definition of youth sport specialization and identify elements that support the construct of specialization. DESIGN: Delphi study. SETTING: Directed surveys. PATIENTS OR OTHER PARTICIPANTS: A consensus panel of 17 experts was created to provide a broad multidisciplinary perspective on sport specialization in youth athletes. DATA COLLECTION AND ANALYSIS: The final definition was developed per an iterative process that involved 4 rounds of review. A comprehensive review of the literature and expert input supported our initial proposed umbrella definition that included 6 additional elements. The study team reviewed the results after each round, and changes were made to the definition based on panel feedback. MAIN OUTCOME MEASURE(S): Panel members were provided with the definition and 6 elements and then asked to rate each specific to importance, relevance, and clarity using a 4-point Likert scale. RESULTS: In 4 Delphi consensus rounds, 17 experts reviewed the umbrella definition and 6 elements before consensus was reached. The umbrella definition and 3 of the initial 6 elements achieved greater than 80% agreement for importance, relevance, and clarity after the fourth round of review. The remaining 3 components did not reach greater than 80% agreement, even after iterative edits, and were removed. The process resulted in a final consensus definition: Sport specialization is intentional and focused participation in a single sport for a majority of the year that restricts opportunities for engagement in other sports and activities. CONCLUSIONS: A consensus-based conceptual definition for sport specialization was developed using a Delphi method. This definition has important implications for clinicians and sports medicine professionals who support youth athletes.