Achievement gaps have been well documented in the medical and health professions. Previous researchers have indicated that individuals from underrepresented minority groups consistently fall short of White candidates in performance on standardized credentialing examinations. To determine the relative risk of failure by ethnicity and first-time and retake pass rates on the Board of Certification (BOC) examination. Descriptive study. Professional master's degree athletic training programs. A total of 3742 unique candidates with 4425 attempts between examination windows 1 of 2011–2012 (April) and 5 of the 2019–2020 (February) cycle of the BOC examination. Ethnicity as self-selected by the candidates, attempt number, result of each attempt, year, and testing window. Examination candidates self-identified as White (60.4%, n = 2261/3742), unknown (ie, withheld an ethnicity selection; 10.6%, n = 395/3742), Hispanic (8.6%, n = 320/3742), or African American (8.4%, n = 313/3742). On the first attempt, White candidates passed at a rate of 93.2% (2107/2261), African American candidates at 74.8% (234/313), and Hispanic candidates at 86.9% (278/320; overall first-time pass rate for this subsample = 90.5%, 2619/2894). The relative risk of first-attempt failure was higher for African Americans than for both White (relative risk = 3.706, 95% CI = 2.903, 4.730; P < .001) and Hispanic (relative risk = 1.923, 95% CI = 1.368, 2.703; P > .001) candidates. For Hispanic candidates, the relative risk of first-attempt failure was about 50% lower than for White candidates (relative risk = 0.519, 95% CI = 0.377, 0.715; P < .001). Achievement gaps existed between White candidates and those from ethnic minority groups in athletic training. Diversification of the athletic training workforce will require ensuring equity in preparation for and success on the BOC examination.Context
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Parents have unique roles in advocating for their child's health and safety. Such advocacy can improve student-athletes' access to athletic trainers (ATs), yet few researchers have investigated the perceptions of student-athletes' parents regarding athletic training. To explore parents' perceptions of athletic training and evaluate their knowledge regarding the AT's role. Concurrent mixed-methods study. Web-based questionnaire. Parents affiliated with USA Football representing 36 states (n = 316: men = 53.5%, women = 46.1%; average age = 45.6 ± 6.2 years [age provided = 291]) were included. An online questionnaire was developed and distributed via Qualtrics. The questionnaire contained demographic questions, quantitative items assessing perceived value and knowledge of athletic training, and open-ended questions to provide opportunities for expansion. Descriptive statistics were calculated for the demographic data. Quantitative measures were presented as count and percentage responses. Open-ended responses were analyzed using the general inductive approach, and overall perceptions were supported with participant quotes. Of 10 763 parents, 390 completed the questionnaire (3.6% response rate, 74.8% completion rate). Of the 390, 316 had a child in high school. Approximately 67% (n = 213) of respondents considered an AT a trusted source of medical information and “extremely valuable” to student-athletes' health and safety. The questionnaire response injury prevention was frequently recognized (n = 307, 97.2%) as a skill ATs perform, followed by first aid/wound care (91.8%) and therapeutic interventions (82.3%). Parents highlighted the AT's role in immediate care and attributed peace of mind and feelings of comfort to having a health care professional readily available for their children. When asked directly and when discussing their effect on student-athlete health and safety, parents valued ATs. Though various qualifications of ATs were recognized, parents emphasized the importance of having someone immediately available to provide care if and when needed. Educational efforts should focus on ATs as the most qualified health care professionals to provide comprehensive medical care to student-athletes in both urgent and nonurgent situations.Context
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Coaches play a role in streamlining care, especially by directing student-athletes in need of further medical attention to the athletic trainer (AT). The AT-coach relationship holds great potential for incorporating collaborative care, and yet, little is known about coaches' perceptions and knowledge of ATs. To investigate coaches' perceptions of athletic training and their knowledge regarding the roles and responsibilities of ATs in secondary schools. Concurrent mixed-methods study. Cross-sectional online questionnaire. Secondary school athletic coaches from 10 sports with the highest participation rates during the 2017–2018 season (n = 1097). Most respondents were male (n = 795, 72.4%), and their average age was 44.7 ± 11.4 years. Participants completed a web-based questionnaire containing demographics and quantitative measures assessing their perceived value and knowledge of ATs, as well as open-ended questions. Descriptive statistics summarized the demographic data. Counts and percentage responses for quantitative measures were reported. Open-ended responses were analyzed using the general inductive approach. Approximately 93% of respondents considered an AT a trusted source of medical information and a key member of the sports medicine team. Most respondents selected injury prevention (98.9%), first aid and wound care (97%), therapeutic interventions (89.9%), and emergency care (85.8%) as skills ATs are qualified to perform. Forty-six percent of respondents were willing to coach without an AT employed. Coaches trusted ATs as part of the “athletic team” and as gatekeepers, referring student-athletes for advanced care when warranted. Regarding the AT role, coaches emphasized the treatment of minor injuries and the idea of “coverage versus care.” Secondary school coaches valued the athletic training profession and were knowledgeable regarding various roles and responsibilities ATs frequently perform. However, they may view ATs as luxuries instead of necessities, as evidenced by the fact that just under half of responding coaches were willing to coach without an AT employed at the school.Context
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The relationships among different sports, face mask use, and COVID-19 risk among high school athletes remain unknown. To evaluate the influence of sport characteristics and face mask use on the COVID-19 incidence among high school athletes. Descriptive epidemiology study. US high school athletic departments. Athletic directors. Surveys were completed regarding sport reinitiation, COVID-19 cases, and risk-reduction procedures in fall 2020. Separate mixed-effects Poisson regression models were developed to evaluate the associations between the reported COVID-19 incidence and (1) sport characteristics (indoor versus outdoor, individual versus team, contact versus noncontact) and (2) face mask use while playing (yes or no). A total of 991 schools had restarted fall sports, representing 152 484 athletes on 5854 teams. There were 2565 reported cases of COVID-19, representing a case rate of 1682 cases per 100 000 athletes and an incidence rate of 24.6 cases per 100 000 player-days. The COVID-19 incidence was lower for outdoor versus indoor sports (incidence rate ratio [IRR] = 0.54; 95% CI = 0.49, 0.60; P < .001) and noncontact versus contact sports (IRR = 0.78; 95% CI = 0.70, 0.87; P < .001), but not team versus individual sports (IRR = 0.96; 95% CI = 0.84, 1.1; P = .49). Face mask use was associated with a decreased incidence in girls' volleyball (IRR = 0.53; 95% CI = 0.37, 0.73; P < .001), boys' basketball (IRR = 0.53; 95% CI = 0.33, 0.83; P = .008), and girls' basketball (IRR = 0.36; 95% CI = 0.19, 0.63; P < .001) and approached statistical significance in football (IRR = 0.79; 95% CI = 0.59, 1.04; P = .10) and cheer or dance (IRR = 0.75; 95% CI = 0.53, 1.03; P = .081). In this nationwide survey of high school athletes, a lower COVID-19 incidence was independently associated with participation in outdoor versus indoor and noncontact versus contact sports but not team versus individual sports. Face mask use was associated with a decreased COVID-19 incidence among indoor sports and may be protective in outdoor sports with prolonged close contact among participants.Context
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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. To compare the risk-mitigation procedures and information sources used by high school athletic departments and youth sport organizations. Cross-sectional study. Surveys of high school and youth sport organization programs from across the United States. A total of 1296 high schools and 584 youth sport organizations, representing 519 241 adolescent athletes, responded to the surveys. 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. 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. 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.Context
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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. To identify the effect of sport participation on the health of adolescents before and during the COVID-19 pandemic. Cross-sectional study. Sample recruited via social media. Wisconsin adolescent athletes. 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. 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]). 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.Context
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Mounting evidence suggests neuromuscular electrical stimulation (NMES) as a promising modality for enhancing lower limb muscle strength, yet the functional effects of a single electrical stimulation session for improving the function of the intrinsic foot muscles (IFM) has not been evaluated. To investigate the immediate effects of an NMES session compared with a sham stimulation session on foot force production, foot dome stability, and dynamic postural control in participants with static foot pronation. Randomized controlled clinical trial. Laboratory. A total of 46 participants (23 males, 23 females) with static foot pronation according to their Foot Posture Index (score ≥ 6) were randomly assigned to an NMES (n = 23) or control (n = 23) group. The NMES group received a single 15-minute NMES session on the dominant foot across the IFM. The control group received a 15-minute sham electrical stimulation session. All outcome measurements were assessed before and after the intervention and consisted of foot force production on a pressure platform, foot dome stability, and dynamic postural control. Statistical analysis was based on the responsiveness of the outcome measures and responder analysis using the minimum detectable change scores for each outcome measure. In the NMES group, 78% of participants were classified as responders for at least 2 of the 3 outcomes, compared with only 22% in the control group. The relative risk of being a responder in the NMES group compared with the control group was 3.6 (95% CI = 1.6, 8.1]. Interestingly, we found that all participants who concomitantly responded to foot strength and navicular drop (n = 8) were also responders in dynamic postural control. Compared with a sham stimulation session, a single NMES session was effective in immediately improving foot function and dynamic postural control in participants with static foot pronation. These findings support the role of NMES for improving IFM function in this population.Context
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Instrument-assisted soft tissue mobilization (IASTM) is a common intervention among clinicians. Despite its popularity, little is known about the forces applied by the clinician using the instruments during treatment. The purpose of this investigation was to examine the forces applied by trained clinicians using IASTM instruments during a simulated treatment. Eleven IASTM–trained (Graston Technique, Técnica Gavilán, or RockBlades) clinicians (physical therapists = 2, chiropractors = 2, athletic trainers = 7) participated in the study. Each clinician performed 75 two-handed strokes distributed evenly across 5 IASTM instruments on a skin simulant attached to a force plate. Instrument-assisted soft tissue mobilization stroke application was analyzed for peak normal forces and mean normal forces by stroke. We observed an average peak normal force of 8.9 N and mean normal force of 6.0 N across all clinicians and instruments. Clinicians and researchers may use the descriptive values as reference for the application of IASTM in practice and research.
Sex differences influence symptom presentations after sport-related concussion and may be a risk factor for certain concussion clinical profiles. To examine sex differences on the Concussion Clinical Profile Screen (CP Screen) in adolescents after sport-related concussion. Cross-sectional study. A concussion specialty clinic. A total of 276 adolescent (age = 15.02 ± 1.43 years; girls = 152 [55%]) athletes with a recently diagnosed concussion (≤30 days). The 5 CP Screen profiles (anxiety mood, cognitive fatigue, migraine, vestibular, ocular) and 2 modifiers (neck, sleep), symptom total, and symptom severity scores were compared using a series of Mann-Whitney U tests between boys and girls. Girls (n = 152) scored higher than boys (n = 124) on the cognitive fatigue (U = 7160.50, z = −3.46, P = .001) and anxiety mood (U = 7059, z = −3.62, P < .001) factors but not on the migraine (U = 7768, z = −2.52, P = .01) factor. Girls also endorsed a greater number of symptoms (n = 124; U = 27233, z = −3.33, P = .001) and scored higher in symptom severity (U = 7049, z = −3.60, P < .001) than boys. Among adolescents, symptom endorsement on the CP Screen varied based on sex, and clinicians need to be aware of these differences, especially when evaluating postconcussion presentation in the absence of baseline data.Context
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Mental illness recognition and referral are required components of professional athletic training education. However, athletic trainers (ATs) often report feeling underprepared to assist patients with mental health emergencies. To determine ATs' frequency of and confidence in psychosocial skill use and their satisfaction with education related to mental illness recognition and referral. Cross-sectional study. Online survey. A total of 226 ATs (86 men, 140 women; age = 35.5 ± 9.9 years, years of practice = 11.9 ± 9.0). The independent variables were professional athletic training program, professional psychosocial courses, highest education level, psychosocial continuing education units, clinical practice setting, and years of experience. For each skill, individuals identified the average frequency with which the skill was performed each year, rated their confidence in performing the skill, and rated their satisfaction with professional education related to the skill. Anxiety was reported as the symptom most frequently recognized and referred. Most respondents felt moderately or extremely confident in managing patients with anxiety, panic attacks, depression, suicidal ideation, or eating disorders but less confident or unconfident in managing those with psychosis or substance use disorder. The majority of respondents felt dissatisfied or only slightly satisfied with their education related to mental health recognition and referral. Years of clinical practice and self-reported frequency of referral were significantly associated for managing patients with anxiety disorder (\(\def\upalpha{\unicode[Times]{x3B1}}\)\(\def\upbeta{\unicode[Times]{x3B2}}\)\(\def\upgamma{\unicode[Times]{x3B3}}\)\(\def\updelta{\unicode[Times]{x3B4}}\)\(\def\upvarepsilon{\unicode[Times]{x3B5}}\)\(\def\upzeta{\unicode[Times]{x3B6}}\)\(\def\upeta{\unicode[Times]{x3B7}}\)\(\def\uptheta{\unicode[Times]{x3B8}}\)\(\def\upiota{\unicode[Times]{x3B9}}\)\(\def\upkappa{\unicode[Times]{x3BA}}\)\(\def\uplambda{\unicode[Times]{x3BB}}\)\(\def\upmu{\unicode[Times]{x3BC}}\)\(\def\upnu{\unicode[Times]{x3BD}}\)\(\def\upxi{\unicode[Times]{x3BE}}\)\(\def\upomicron{\unicode[Times]{x3BF}}\)\(\def\uppi{\unicode[Times]{x3C0}}\)\(\def\uprho{\unicode[Times]{x3C1}}\)\(\def\upsigma{\unicode[Times]{x3C3}}\)\(\def\uptau{\unicode[Times]{x3C4}}\)\(\def\upupsilon{\unicode[Times]{x3C5}}\)\(\def\upphi{\unicode[Times]{x3C6}}\)\(\def\upchi{\unicode[Times]{x3C7}}\)\(\def\uppsy{\unicode[Times]{x3C8}}\)\(\def\upomega{\unicode[Times]{x3C9}}\)\(\def\bialpha{\boldsymbol{\alpha}}\)\(\def\bibeta{\boldsymbol{\beta}}\)\(\def\bigamma{\boldsymbol{\gamma}}\)\(\def\bidelta{\boldsymbol{\delta}}\)\(\def\bivarepsilon{\boldsymbol{\varepsilon}}\)\(\def\bizeta{\boldsymbol{\zeta}}\)\(\def\bieta{\boldsymbol{\eta}}\)\(\def\bitheta{\boldsymbol{\theta}}\)\(\def\biiota{\boldsymbol{\iota}}\)\(\def\bikappa{\boldsymbol{\kappa}}\)\(\def\bilambda{\boldsymbol{\lambda}}\)\(\def\bimu{\boldsymbol{\mu}}\)\(\def\binu{\boldsymbol{\nu}}\)\(\def\bixi{\boldsymbol{\xi}}\)\(\def\biomicron{\boldsymbol{\micron}}\)\(\def\bipi{\boldsymbol{\pi}}\)\(\def\birho{\boldsymbol{\rho}}\)\(\def\bisigma{\boldsymbol{\sigma}}\)\(\def\bitau{\boldsymbol{\tau}}\)\(\def\biupsilon{\boldsymbol{\upsilon}}\)\(\def\biphi{\boldsymbol{\phi}}\)\(\def\bichi{\boldsymbol{\chi}}\)\(\def\bipsy{\boldsymbol{\psy}}\)\(\def\biomega{\boldsymbol{\omega}}\)\(\def\bupalpha{\bf{\alpha}}\)\(\def\bupbeta{\bf{\beta}}\)\(\def\bupgamma{\bf{\gamma}}\)\(\def\bupdelta{\bf{\delta}}\)\(\def\bupvarepsilon{\bf{\varepsilon}}\)\(\def\bupzeta{\bf{\zeta}}\)\(\def\bupeta{\bf{\eta}}\)\(\def\buptheta{\bf{\theta}}\)\(\def\bupiota{\bf{\iota}}\)\(\def\bupkappa{\bf{\kappa}}\)\(\def\buplambda{\bf{\lambda}}\)\(\def\bupmu{\bf{\mu}}\)\(\def\bupnu{\bf{\nu}}\)\(\def\bupxi{\bf{\xi}}\)\(\def\bupomicron{\bf{\micron}}\)\(\def\buppi{\bf{\pi}}\)\(\def\buprho{\bf{\rho}}\)\(\def\bupsigma{\bf{\sigma}}\)\(\def\buptau{\bf{\tau}}\)\(\def\bupupsilon{\bf{\upsilon}}\)\(\def\bupphi{\bf{\phi}}\)\(\def\bupchi{\bf{\chi}}\)\(\def\buppsy{\bf{\psy}}\)\(\def\bupomega{\bf{\omega}}\)\(\def\bGamma{\bf{\Gamma}}\)\(\def\bDelta{\bf{\Delta}}\)\(\def\bTheta{\bf{\Theta}}\)\(\def\bLambda{\bf{\Lambda}}\)\(\def\bXi{\bf{\Xi}}\)\(\def\bPi{\bf{\Pi}}\)\(\def\bSigma{\bf{\Sigma}}\)\(\def\bPhi{\bf{\Phi}}\)\(\def\bPsi{\bf{\Psi}}\)\(\def\bOmega{\bf{\Omega}}\)\({\rm{\chi }}_{87}^2\) = 117.774, P = .016) and suicidal thoughts or actions (\({\rm{\chi }}_{87}^2\) = 179.436, P < .001). For confidence, significant positive associations were present between years of practice and self-reported recognition of patients with anxiety disorders (\({\rm{\chi }}_{145}^2\) = 195.201, P = .003) and referral for those with anxiety disorders (\({\rm{\chi }}_{145}^2\) = 15.655, P = .048) or panic attacks (\({\rm{\chi }}_{145}^2\) = 19.790, P = .011). Significant associations were also noted between the number of continuing education units and self-reported confidence in recognizing suicide (\({\rm{\chi }}_{15}^2\) = 26.650, P = .032), referring for suicidal concerns (\({\rm{\chi }}_{18}^2\) = 40.456, P = .002), recognizing substance use (\({\rm{\chi }}_{18}^2\) = 33.649, P = .014), and referring for substance use (\({\rm{\chi }}_{18}^2\) = 30.918, P = .029). No significant associations were related to satisfaction. The ATs with fewer years of clinical practice (ie, who had completed professional programs more recently) expressed higher confidence in mental health recognition and referral than those who had completed professional programs longer ago. We recommend that real-time interactions with individuals who have mental health concerns or emergencies be incorporated into professional education programs and that increased emphasis be placed on continuing education related to these topics.Context
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Athletes' sleep is the most important recovery strategy and has received growing attention. However, athletes may experience sleep disruptions due to numerous factors, such as training and competition workloads, travel, changes in sleep-wake schedules, and sleeping environments. They often spend nights in unfamiliar hotels, and sharing a bed, room, or both with another person might affect sleep duration and quality. To analyze the effect of sleeping in shared (SRs) versus individual (IRs) rooms on objective and subjective sleep and on slow-wave-sleep–derived cardiac autonomic activity during an official training camp in elite youth soccer players. Training and match workloads were characterized. Observational case study. Hotel accommodations. Thirteen elite male youth soccer players. Players slept longer in IRs than in SRs (+1:28 [95% CI = 1:18, 1:42] hours:minutes; P < .001). Sleep efficiency was higher in IRs than in SRs (+12% [95% CI = 10%, 15%]; P < .001), whereas sleep latency was shorter in IRs than in SRs (−3 [95% CI = −15, −4] minutes; P < .001). Subjective sleep quality was lower in IRs than in SRs (−2 [−3 to −2] arbitrary units; P < .001). No differences were found for slow-wave-sleep–derived cardiac autonomic activity or for training or match workloads between training camps. During soccer training camps, sleep may be affected by whether the athlete is in an SR versus an IR.Context
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Reliability and Validity of the Functional Assessment of Neurocognition in Sport (FANS): A Paradigm Shift in Post-Concussion Return-to-Sport Decision-Making
Driving After Concussion: Clinical Measures Associated with Post-concussion
The role of shoulder posture in pitching mechanics and injury risk in high school baseball pitchers
Corticospinal Excitability during Standing and Its Association with Postural Control Following Acute Lateral Ankle Sprain.
The socio-economic cost of anterior cruciate ligament injuries and lateral ankle sprains in amateur football and basketball.
JAT eISSN: 1938-162X
JAT ISSN: 1062-6050
ATEJ ISSN: 1947-380X