Barriers To and Attitudes Toward Seeking Mental Health Services Among Collegiate Marching Band Artists.

CONTEXT: Marching band (MB) artists experience stressors influencing their physical, mental, and emotional health warranting medical support, and they face challenges similar to those of other college students and athletes. Mental health illnesses exist in collegiate and MB settings, but barriers affect access to treatment. OBJECTIVES: To examine MB artists' perceived barriers to and attitudes toward seeking care from mental health professionals. The secondary aim was to explore barriers to and attitudes about seeking mental health counseling between genders and history of pursuing mental health counseling. DESIGN: Cross-sectional study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: A total of 534 MB artists (women = 312, men = 222; age = 19.7 ± 1.4 years). MAIN OUTCOME MEASURE(S): Participants completed surveys on demographics and past medical history along with the Barriers to Help Seeking Checklist, the Attitudes Toward Seeking Professional Psychological Help-Short Form Scale (ATSPPH-SF), and the Mental Help Seeking Attitudes Scale (MHSAS). Descriptive statistics were calculated to assess demographic data. Cross-tabulations and χ2 statistics were used to evaluate individual barriers (Barriers to Help Seeking Checklist) between genders. Scales were scored 1 to 7 and 10 to 30 on the MHSAS and ATSPPH-SF, respectively. A 1-way analysis of variance measured differences in the total mean score on the ATSPPH-SF between genders. RESULTS: The highest barrier reported was lack of time to seek services (69.1%; n = 369), followed by 47.6% (n = 254) for services not available during my free time. Average scores were 4.0 ± 0.4 on the MHSAS (indicating neutral attitudes toward seeking help) and 17.97 ± 5.48 on the ATSPPH-SF (indicating slightly positive attitudes to seeking help). No differences were seen for the total mean scores on the MHSAS and ATSPPH-SF between genders. CONCLUSIONS: Marching band artists' barriers to and attitudes toward mental health care influenced their ability to seek care in times of need and demonstrated some similarities to those of collegiate athletes. Awareness of the obstacles MB artists face in receiving mental health care will assist health care providers in advocating for improved care in this setting.

Digital Health Literacy and Social Determinants of Health Affecting Telehealth Use by Athletic Trainers.

CONTEXT: While increasing telehealth use throughout sports medicine has improved patients' access to health care, some communities may not have the same opportunities to connect with a provider. Barriers to telehealth implementation can be influenced by internal (eg, provider's digital health literacy and resources) and external (eg, community's social determinants of health or "SDOH") factors. This study aimed to assess the impact of internal and external factors on telehealth use by athletic trainers (ATs). DESIGN: Cross-sectional survey. METHODS: In total, 767 ATs participated in the study. Participants (age = 39 [13] y) completed a survey containing the electronic health literacy scale and digital health literacy instrument, reported professional use of telehealth as a provider (yes/no), provided resources at their clinical site, and provided the zip code for the community they served. After data collection, the researchers extracted SDOH information using the zip code data from 2 US databases, including population density, median household income, poverty index, education level, and technology access. Chi-square or independent samples t tests were conducted to compare telehealth use by each SDOH factor. RESULTS: In total, 62.3% (n = 478/767) of ATs reported using telehealth, and 81.6% of ATs (n = 626) had a dedicated facility to offer health care services. We identified a significant difference in digital health literacy scores between users and nonusers of telehealth (P = .013). We did not identify any significant differences between telehealth users by community type (P = .957), population density (P = .053), income (P = .462), poverty index (P = .073), and computer (P = .211) or broadband internet access (P = .295). CONCLUSIONS: Our data suggest that internal factors such as digital health literacy and clinical site resources may have contributed to an AT's previous telehealth use in clinical practice. However, the SDOH data extracted from the community zip code where the AT provided clinical services were similar for those with and without previous telehealth use.

Treble or Trouble: Mental Health Experiences of Gender-Diverse Collegiate Marching Band Artists.

CONTEXT: For gender-diverse (GD) college marching band (MB) artists, the risks for anxiety and depression may be higher as they navigate the demands and stressors associated with MB, college, and their gender identity. OBJECTIVES: To examine the risks of anxiety and depression across GD MB artists and to explore their barriers and attitudes toward seeking mental health (MH) care. DESIGN: Cross-sectional study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: Seventy-eight GD individuals (transgender = 12, nonbinary = 66, age = 19 ± 1 years). MAIN OUTCOME MEASURE(S): A survey was used to assess demographics, anxiety risk using the State-Trait Anxiety Inventory, depression risk using the Center for Epidemiologic Studies Depression Scale, and barriers and attitudes using the Barriers Towards Seeking Help Checklist, the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form, and the Mental Help Seeking Attitudes Scale. We calculated descriptive statistics and univariate analyses to evaluate scores, risks, and differences between MH and receiving assistance. RESULTS: Participants had high state anxiety (mean = 52.0 ± 112.1), trait anxiety (mean = 55.2 ± 10.0), and symptoms of depression (mean = 30.4 ± 12.0) based on the State-Trait Anxiety Inventory and the Center for Epidemiologic Studies Depression Scale. Overall, 78.2% (n = 61 of 78) of GD MB artists were considered at risk for both state and trait anxiety and depression, and 18% (n = 11 of 61) did not seek help from an MH professional. These GD MB artists cited a lack of time (82.1%; n = 64 of 78) as the primary barrier to seeking professional help. The mean score on the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form for all GD artists was 19.5 ± 5.0, and the total score for the Mental Help Seeking Attitudes Scale was 47.8 ± 9.2, which indicated more favorable attitudes toward seeking professional help. CONCLUSIONS: We identified high rates of clinical symptoms for depression and anxiety among GD MB artists. The data are consistent with those from other minority populations and above the normative values for cisgender students. The lack of help-seeking behaviors in nearly 15% of at-risk participants highlights the need for specialized resources for GD patients and those participating in MB.

Eating Disorder Risk and Pathogenic Behaviors Among Collegiate Student-Athletes.

CONTEXT: Eating disorders (EDs) are a cluster of behavioral conditions characterized by uneasy thoughts and behaviors that grow into severe or persistent eating disturbances. The demands on student-athletes may create mental and physical stressors that increase the likelihood of EDs and disordered eating. OBJECTIVE: To examine the ED risk through eating attitudes and behaviors in male and female student-athletes and across various sport types (endurance, aesthetic, power, ball or team, or technical sports). DESIGN: Cross-sectional study. SETTING: Collegiate athletics. PATIENTS OR OTHER PARTICIPANTS: National Collegiate Athletic Association Division I and II student-athletes (n = 2054; males = 631; females = 1423) from 40 institutions. MAIN OUTCOME MEASURE(S): Participants completed a web-based demographic survey and the Eating Attitudes Test-26 (EAT-26). Multiple χ2 analyses examined participants classified as at risk for EDs. Independent-samples t tests and a 1-way analyses of variance compared sex and sport type across EAT-26 totals and subscale (Dieting, Bulimia, and Oral Control) scores. RESULTS: Overall, 25.3% (n = 520/2054) of student-athletes were classified as at risk for EDs. Differences were found between sex and ED risk (χ21,2054 = 32.9, P ≤ .01; 17.3% [n = 109/631] males, 28.9% [n = 411/1423] females) and across ED risk and sport type (χ24,2054 = 13.4, P = .01). When examining females only, we observed differences across ED risk and sport type (χ24,1423 = 13.4, P ≤ .01). No differences were evident across ED risk and sport type for males. Differences were seen between sex and binge eating (χ21,2054 = 6.8, P = .009), sex and diet pill use (χ21,2054 = 19.6, P ≤ .01), and sport type and diet pill use (χ24,2054= 12.2, P = .016), excessive exercise (χ24,2054 = 32.1, P ≤ .01), and losing more than 20 lb (9 kg) in the last 6 months (χ24,2054 = 10.2, P ≤ .037). CONCLUSIONS: Student-athletes in the collegiate setting are at risk for EDs. Medical professionals, such as athletic trainers, need to be educated on the potential risk factors that may lead to EDs. Protocols for prevention, screening and recognition, and referral should be developed for student-athletes at risk for EDs.

Examination of the Cumulative Risk Assessment and Nutritional Profiles among College Ballet Dancers.

This study examined female collegiate ballet dancers' (n = 28) Female Athlete Triad (Triad) risk via the Cumulative Risk Assessment (CRA) and nutritional profiles (macro- and micronutrients; n = 26). The CRA identified Triad return to play criteria (RTP: Full Clearance, Provisional Clearance, or Restricted/Medical Disqualified) by assessing eating disorder risk, low energy availability, menstrual cycle dysfunction, and low bone mineral density. Seven-day dietary assessments identified any energy imbalances of macro- and micronutrients. Ballet dancers were identified as low, within normal, or high for each of the 19 nutrients assessed. Basic descriptive statistics assessed CRA risk classification and dietary macro- and micronutrient levels. Dancers averaged 3.5 ± 1.6 total score on the CRA. Based on these scores, the RTP outcomes revealed Full Clearance 7.1%, n = 2; Provisional Clearance 82.1%, n = 23; and Restricted/Medical Disqualification 10.7%, n = 3. Dietary reports revealed that 96.2% (n = 25) of ballet dancers were low in carbohydrates, 92.3% (n = 24) low in protein, 19.2% (n = 5) low in fat percent, 19.2% (n = 5) exceeding saturated fats, 100% (n = 26) low in Vitamin D, and 96.2% (n = 25) low in calcium. Due to the variability in individual risks and nutrient requirements, a patient-centered approach is a critical part of early prevention, evaluation, intervention, and healthcare for the Triad and nutritional-based clinical evaluations.

Energy Availability, Mental Health, and Sleep Patterns of Athletic Trainers.

CONTEXT: Engaging in exercise and appropriate nutritional intake improves mental health by reducing anxiety, depression, and sleep disturbances. However, few researchers have examined energy availability (EA), mental health, and sleep patterns in athletic trainers (ATs). OBJECTIVE: To examine ATs' EA, mental health risk (ie, depression, anxiety), and sleep disturbances by sex (male, female), job status (part time [PT AT], full time [FT AT]), and occupational setting (college or university, high school, or nontraditional). DESIGN: Cross-sectional study. SETTING: Free living in occupational settings. PATIENTS OR OTHER PARTICIPANTS: A total of 47 ATs (male PT ATs = 12, male FT ATs = 12; female PT ATs = 11, female FT ATs = 12) in the southeastern United States. MAIN OUTCOME MEASURE(S): Anthropometric measurements consisted of age, height, weight, and body composition. Energy availability was measured through energy intake and exercise energy expenditure. We used surveys to assess the depression risk, anxiety (state or trait) risk, and sleep quality. RESULTS: Thirty-nine ATs engaged in exercise, and 8 did not exercise. Overall, 61.5% (n = 24/39) reported low EA (LEA); 14.9% (n = 7/47) displayed a risk for depression; 25.5% (n = 12/47) indicated a high risk for state anxiety; 25.5% (n = 12/47) were at high risk for trait anxiety, and 89.4% (n = 42/47) described sleep disturbances. No differences were found by sex and job status for LEA, depression risk, state or trait anxiety, or sleep disturbances. Those ATs not engaged in exercise had a greater risk for depression (risk ratio [RR] = 1.950), state anxiety (RR = 2.438), trait anxiety (RR = 1.625), and sleep disturbances (RR = 1.147), whereas ATs with LEA had an RR of 0.156 for depression, 0.375 for state anxiety, 0.500 for trait anxiety, and 1.146 for sleep disturbances. CONCLUSIONS: Although most ATs engaged in exercise, their dietary intake was inadequate, they were at increased risk for depression and anxiety, and they experienced sleep disturbances. Those who did not exercise were at an increased risk for depression and anxiety. Energy availability, mental health, and sleep affect overall quality of life and can affect ATs' ability to provide optimal health care.

Practices and Perceptions of Family-Centered Care: A Cross-Sectional Survey of Secondary School Athletic Trainers.

Family-centered care (FCC) includes collaboration between families and healthcare providers, the creation of flexible policies, and the family taking an active role in the delivery of care. Secondary school athletic trainers provide care for underage patients in school-based health systems, making them responsible for maintaining communication with parents, guardians, and/or caregivers. This cross-sectional survey investigated the extent to which athletic trainers (n = 205) include aspects of FCC in their daily secondary school clinical practice (current practices = CP) and whether they believe that aspect of care is necessary for FCC to be provided in athletic training (perceived necessary = PN) in their everyday practice using the Family-Centered Care Questionnaire-Revised tool. The total mean score for the CP scale (mean = 26.83 ± 4.36) was significantly lower (p ≤ 0.01) than the PN scale (mean = 35.33 ± 4.17). All FCC subscales compared between CP and PN were significantly different (p ≤ 0.01), with each being of higher importance than CP in athletic training. Data analysis revealed four themes related to enhancing FCC in secondary schools: limited education and resources, staffing and space concerns, non-technical skills, and social determinants of health. Attention should be placed on developing resources and interventions for secondary school athletic trainers to collaboratively work with children and their support systems.

Prevalence and Association of Exercise Dependence and Eating Disorder Risk in Collegiate Student-Athletes.

CONTEXT: Exercise dependence (EXD) is a compulsive and addictive behavior that can negatively affect physical and mental health, leading to significant impairment or distress. Exercise dependence has been associated with symptoms of eating disorders (EDs). Student-athletes are an at-risk population for EXD and EDs given the physical and psychological demands of competitive sports. OBJECTIVE: To examine the EXD and ED risks in student-athletes across sex and sport category and to determine the association between EXD and ED. DESIGN: Cross-sectional study. SETTING: Collegiate athletics. PATIENTS OR OTHER PARTICIPANTS: National Collegiate Athletic Association Division I and II student-athletes (n = 1885; age = 19.8 ± 1.4 years; females = 69.6%, n = 1312; males = 30.4%, n = 573). MAIN OUTCOME MEASURE(S): A web-based survey including demographics, the Exercise Dependence Scale-21, the Eating Attitudes Test-26, and questions about pathogenic behaviors. RESULTS: Overall, 4.9% (n = 92) of the student-athletes were categorized as at risk for EXD (females = 4.8%, n = 63/1312; males = 5.1%, n = 29/573), with differences across sex and sport categories (all: χ28,1885 = 99.1, P < .001). The ED risk in student-athletes (Eating Attitudes Test-2, pathogenic behavior use, or both) was 22.7% (n = 428; females = 25.5%, n = 334/1312; males = 16.4%, n = 94/573), with differences by sex (χ24,1885 = 10.1, P = .039). Multiple logistic regressions indicated a significant association between the risks of EXD and ED for all student-athletes; athletes at risk for EXD were also at greater risk for EDs (odds ratio = 5.104; 95% CI = 3.237, 8.046) than nondependent-asymptomatic athletes (odds ratio = 2.4068; 95% CI = 1.5618, 3.7089). CONCLUSIONS: Although physical activity has become a public health intervention to improve overall health in populations, EXD can be considered a problem related to physical activity. Exercise dependence can negatively affect physical and mental health, whereas EDs may be psychiatric disorders influenced by EXD, as exercise can be a compensatory behavior to achieve weight loss. To minimize the overall risk of EDs in student-athletes, additional education and awareness are needed. Special attention should be given to any student-athletes, in particular females, who display signs of EXD.

A qualitative report of the perceptions of the COVID-19 pandemic from collegiate student-athletes.

Context: The COVID-19 pandemic led to an abrupt disruption in access to services and personnel for collegiate student-athletes in the spring and summer of 2020. We sought to identify the effects of this unprecedented change by examining the psychological well-being, changes to normal routines, and return-to-play considerations of current student-athletes in order to guide support for both current and future student-athletes who may face similar situations. Methods: We utilized a phenomenological approach to interview a purposeful sample of eighteen collegiate student-athletes (7 males, 11 females; mean age = 20 years) from across the United States. The participants were interviewed using a semi-structured interview protocol, which was audio recorded and transcribed verbatim using Zoom. The data were then analyzed and coded by a 3-person team via the consensual qualitative research tradition. Results: Four domains emerged after data analysis: 1) ambiguity, 2) perspective, 3) bonding and cohesion, and 4) resource utilization. Participants discussed ambiguity in terms of eligibility and participation questions, academic changes, and varying COVID-19 policies. Participants shared a wide range of perspectives, from apprehension at the onset of the pandemic, to excitement when returning to campus and competition. They shared how bonding and team development were affected due to a lack of socialization and that support system dynamics between family, coaches, and teammates were strengthened. When describing resource utilization, participants discussed the use of personnel and supplies to help them adjust to changes in facility and space availability. The identification and utilization of resources enabled them to establish a "new normal" for their academics, workouts, and hobbies during the pandemic. Conclusions: Collegiate student-athletes realized the seriousness of the pandemic and utilized their resources and support systems to adjust their routines and keep a positive attitude during COVID-19. At the same time, some student-athletes struggled with these changes. Personnel should be aware of these effects to provide care and prevent future negative effects.

Examining Eating Attitudes and Behaviors in Collegiate Athletes, the Association Between Orthorexia Nervosa and Eating Disorders.

Purpose: Orthorexia nervosa (Orthorexia) is an eating attitude and behavior associated with a fixation on healthy eating, while eating disorders (EDs) are clinically diagnosed psychiatric disorders associated with marked disturbances in eating that may cause impairment to psychosocial and physical health. The purpose of this study was to examine risk for Orthorexia and EDs in student-athletes across sex and sport type and determine the association between the two. Methods: Student-athletes (n = 1,090; age: 19.6 ± 1.4 years; females = 756; males = 334) completed a survey including demographics, the ORTO-15 test (<40 and <35 threshold values), the Eating Attitudes Test-26 (EAT-26; >20 score), and additional questions about pathogenic behaviors to screen for EDs. Results: Using a <40 threshold value for the ORTO-15, 67.9% were at risk for Orthorexia, a more restrictive threshold value of <35 determined 17.7% prevalence across student-athletes with significant differences across sex [ <40: χ ( 1 , 1 , 090 ) 2 = 4.914, p = 0.027; <35: χ ( 1 , 1 , 090 ) 2 = 5.923, p = 0.015). Overall, ED risk (EAT-26 and/or pathogenic behavior use) resulted in a 20.9% prevalence, with significant differences across sex (χ2 = 11.360, p < 0.001) and sport-type category (χ2 = 10.312, p = 0.035). Multiple logistic regressions indicated a significant association between EAT-26 subscales scores and Orthorexia, and between Orthorexia positivity, ORTO-15 scores, and risk for EDs. Conclusions: Risk for Orthorexia and ED is present in collegiate student-athletes. While healthy and balanced eating is important, obsessive healthy eating fixations may increase the risk for EDs in athletes. More education and awareness are warranted to minimize the risk for Orthorexia and EDs in student-athletes.

Examination of eating disorder risk among university marching band artists.

BACKGROUND: Marching band artists are a physically active population, composed of approximately 27,000 people in the United States. University marching band artists face many of the same physically active demands and mental stressors as student athletes, potentially predisposing them to injury, illness, and risk for eating disorders (EDs). The purpose of this study was to examine ED risk across sex in university marching band artists, and to determine the type of risk based on the Eating Disorder Inventory-3 (EDI-3) and Eating Disorder Inventory-3 Symptom Check List (EDI-3 SC). A secondary aim examined marching band artists and pathogenic weight control behavior use across sex. METHODS: This was a cross-sectional study. A total of 150 marching band artists (female: n = 84, male: n = 66, age = 19.9 ± 1.1 years) from three National Collegiate Athletic Association Division I university marching bands participated in the study. We screened for ED risk using the EDI-3, and the EDI-3 SC. RESULTS: Overall, marching band artists were at risk for EDs, using only the EDI-3, 45.3% (n = 68) were at risk, with females at significant higher risk than males [χ2 = 5.228, p = .022]; using only the EDI-3 SC, 54% (n = 81) were at risk and no significant differences were found across sex. Overall, 48% of all participants reported dieting and 20.7% engaged in excessive exercise to control weight. Significant differences were found between sex and purging to control weight [χ2 = 3.94, p = .047] and laxative use [χ2 = 4.064, p = .044], with females engaging in behavior more than males. CONCLUSIONS: Eating disorder risk was prevalent for both female and male marching band artists, with females displaying higher risk for EDs than males. Furthermore, marching band artists are engaging in pathogenic behaviors to control their weight. Healthcare providers (e.g., physicians, athletic trainers, physical therapist, dietitians, etc.) working in this setting should be aware of the risk factors displayed in marching band artists, and be able to provide education, prevention, and clinical interventions to this population. Additionally, marching band administrators should be aware of all medical risk factors and the benefit of having a healthcare provider (e.g., athletic trainer) to oversee the healthcare and wellness of marching band artists.

Core Body Temperatures in Collegiate Marching Band Artists During Rehearsals and Performances.

CONTEXT: To our knowledge, no researchers have investigated thermoregulatory responses and exertional heat illness (EHI) risk factors in marching band (MB) artists performing physical activity in high environmental temperatures. OBJECTIVE: To examine core temperature (Tc) and EHI risk factors in MB artists. DESIGN: Descriptive epidemiology study. SETTING: Three rehearsals and 2 football games for 2 National Collegiate Athletic Association Division I institution's MBs. PATIENTS OR OTHER PARTICIPANTS: Nineteen volunteers (females = 13, males = 6; age = 20.5 ± 0.9 years, height = 165.1 ± 7.1 cm, mass = 75.0 ± 19.1 kg) completed the study. MAIN OUTCOME MEASURE(S): We measured Tc, wet bulb globe temperature, and relative humidity preactivity, during activity, and postactivity. Other variables were activity time and intensity, body surface area, hydration characteristics (fluid volume, sweat rate, urine specific gravity, percentage of body mass loss), and medical history (eg, previous EHI, medications). The statistical analysis consisted of descriptive information (mean ± standard deviation), comparative analyses that determined differences within days, and correlations that identified variables significantly associated with Tc. RESULTS: The mean time for rehearsals was 102.8 ± 19.8 minutes and for games was 260.5 ± 47.7 minutes. Mean maximum Tc was 39.1 ± 1.1°C for games and 38.4 ± 0.7°C for rehearsals; the highest Tc (41.2°C) occurred during a game. Fluid consumption did not match sweat rates (P < .001). Participants reported to games in a hypohydrated state 63.6% of the time. The maximum Tc correlated with the maximum wet bulb globe temperature (r = 0.618, P < .001) and was higher in individuals using mental health medications (rpb = -0.254, P = .022) and females (rpb = 0.330, P = .002). Body surface area (r = -0.449, P < .001) and instrument mass (r = -0.479, P < .001) were negatively correlated with Tc. CONCLUSIONS: Marching band artists experienced high Tc during activity and should have access to athletic trainers who can implement EHI-prevention and -management strategies.

Energy Availability With or Without Eating Disorder Risk in Collegiate Female Athletes and Performing Artists.

CONTEXT: Female athletes and performing artists can present with low energy availability (LEA) from either unintentional (eg, inadvertent undereating) or intentional (eg, eating disorder [ED]) methods. Whereas LEA and ED risk have been examined independently, few researchers have examined them simultaneously. Awareness of LEA with or without ED risk may provide clinicians with innovative prevention and intervention strategies. OBJECTIVE: To examine LEA with or without ED risk (eg, eating attitudes, pathogenic behaviors) in female collegiate athletes and performing artists and compare sport type and LEA with the overall ED risk. DESIGN: Cross-sectional study. SETTING: Free living in sport-specific settings. PATIENTS OR OTHER PARTICIPANTS: A total of 121 collegiate female athletes and performing artists (age = 19.8 ± 2.0 years, height = 168.9 ± 7.7 cm, mass = 63.6 ± 9.3 kg) participating in equestrian (n = 28), soccer (n = 20), beach volleyball (n = 18), softball (n = 17), volleyball (n = 12), and ballet (n = 26). MAIN OUTCOME MEASURE(S): Anthropometric measurements (height, mass, body composition), resting metabolic rate, energy intake, total daily energy expenditure, exercise energy expenditure, Eating Disorder Inventory-3 (EDI-3), and EDI-3 Symptom Checklist were assessed. Chi-square analysis was used to examine differences between LEA and sport type, LEA and ED risk, ED risk and sport type, and pathogenic behaviors and sport type. RESULTS: Most (81%, n = 98) female athletes and performing artists displayed LEA and differences between LEA and sport type (\(\def\upalpha{\unicode[Times]{x3B1}}\)\(\def\upbeta{\unicode[Times]{x3B2}}\)\(\def\upgamma{\unicode[Times]{x3B3}}\)\(\def\updelta{\unicode[Times]{x3B4}}\)\(\def\upvarepsilon{\unicode[Times]{x3B5}}\)\(\def\upzeta{\unicode[Times]{x3B6}}\)\(\def\upeta{\unicode[Times]{x3B7}}\)\(\def\uptheta{\unicode[Times]{x3B8}}\)\(\def\upiota{\unicode[Times]{x3B9}}\)\(\def\upkappa{\unicode[Times]{x3BA}}\)\(\def\uplambda{\unicode[Times]{x3BB}}\)\(\def\upmu{\unicode[Times]{x3BC}}\)\(\def\upnu{\unicode[Times]{x3BD}}\)\(\def\upxi{\unicode[Times]{x3BE}}\)\(\def\upomicron{\unicode[Times]{x3BF}}\)\(\def\uppi{\unicode[Times]{x3C0}}\)\(\def\uprho{\unicode[Times]{x3C1}}\)\(\def\upsigma{\unicode[Times]{x3C3}}\)\(\def\uptau{\unicode[Times]{x3C4}}\)\(\def\upupsilon{\unicode[Times]{x3C5}}\)\(\def\upphi{\unicode[Times]{x3C6}}\)\(\def\upchi{\unicode[Times]{x3C7}}\)\(\def\uppsy{\unicode[Times]{x3C8}}\)\(\def\upomega{\unicode[Times]{x3C9}}\)\(\def\bialpha{\boldsymbol{\alpha}}\)\(\def\bibeta{\boldsymbol{\beta}}\)\(\def\bigamma{\boldsymbol{\gamma}}\)\(\def\bidelta{\boldsymbol{\delta}}\)\(\def\bivarepsilon{\boldsymbol{\varepsilon}}\)\(\def\bizeta{\boldsymbol{\zeta}}\)\(\def\bieta{\boldsymbol{\eta}}\)\(\def\bitheta{\boldsymbol{\theta}}\)\(\def\biiota{\boldsymbol{\iota}}\)\(\def\bikappa{\boldsymbol{\kappa}}\)\(\def\bilambda{\boldsymbol{\lambda}}\)\(\def\bimu{\boldsymbol{\mu}}\)\(\def\binu{\boldsymbol{\nu}}\)\(\def\bixi{\boldsymbol{\xi}}\)\(\def\biomicron{\boldsymbol{\micron}}\)\(\def\bipi{\boldsymbol{\pi}}\)\(\def\birho{\boldsymbol{\rho}}\)\(\def\bisigma{\boldsymbol{\sigma}}\)\(\def\bitau{\boldsymbol{\tau}}\)\(\def\biupsilon{\boldsymbol{\upsilon}}\)\(\def\biphi{\boldsymbol{\phi}}\)\(\def\bichi{\boldsymbol{\chi}}\)\(\def\bipsy{\boldsymbol{\psy}}\)\(\def\biomega{\boldsymbol{\omega}}\)\(\def\bupalpha{\bf{\alpha}}\)\(\def\bupbeta{\bf{\beta}}\)\(\def\bupgamma{\bf{\gamma}}\)\(\def\bupdelta{\bf{\delta}}\)\(\def\bupvarepsilon{\bf{\varepsilon}}\)\(\def\bupzeta{\bf{\zeta}}\)\(\def\bupeta{\bf{\eta}}\)\(\def\buptheta{\bf{\theta}}\)\(\def\bupiota{\bf{\iota}}\)\(\def\bupkappa{\bf{\kappa}}\)\(\def\buplambda{\bf{\lambda}}\)\(\def\bupmu{\bf{\mu}}\)\(\def\bupnu{\bf{\nu}}\)\(\def\bupxi{\bf{\xi}}\)\(\def\bupomicron{\bf{\micron}}\)\(\def\buppi{\bf{\pi}}\)\(\def\buprho{\bf{\rho}}\)\(\def\bupsigma{\bf{\sigma}}\)\(\def\buptau{\bf{\tau}}\)\(\def\bupupsilon{\bf{\upsilon}}\)\(\def\bupphi{\bf{\phi}}\)\(\def\bupchi{\bf{\chi}}\)\(\def\buppsy{\bf{\psy}}\)\(\def\bupomega{\bf{\omega}}\)\(\def\bGamma{\bf{\Gamma}}\)\(\def\bDelta{\bf{\Delta}}\)\(\def\bTheta{\bf{\Theta}}\)\(\def\bLambda{\bf{\Lambda}}\)\(\def\bXi{\bf{\Xi}}\)\(\def\bPi{\bf{\Pi}}\)\(\def\bSigma{\bf{\Sigma}}\)\(\def\bPhi{\bf{\Phi}}\)\(\def\bPsi{\bf{\Psi}}\)\(\def\bOmega{\bf{\Omega}}\)\({\rm{\chi }}_5^2\) = 43.8, P < .001). The majority (76.0%, n = 92) presented with an ED risk, but the ED risk did not differ by sport type (P = .94). The EDI-3 Symptom Checklist revealed that 61.2% (n = 74) engaged in pathogenic behaviors, with dieting being the most common (51.2%, n = 62). Most (76.0%, n = 92) displayed LEA with an ED risk. No differences were found in LEA by ED risk and sport type. Softball players reported the most LEA with an ED risk (82.4%, n = 14), followed by ballet dancers (76%, n = 19). CONCLUSIONS: Our results suggested that a large proportion of collegiate female athletes and performing artists were at risk for LEA with an ED risk, thus warranting education, identification, prevention, and intervention strategies relative to fueling for performance.

Collegiate Marching Band Artists Experience High Core Body Temperatures during Rehearsals and Performances.

CONTEXT: No research has investigated thermoregulatory responses and exertional heat illness (EHI) risk factors in marching band (MB) artists performing physical activity in high environmental temperatures. OBJECTIVE: Examine core temperature (Tc) and EHI risk factors in MB artists. DESIGN: Descriptive epidemiology study. SETTING: Three rehearsals and 2 football games for 2 NCAA Division I MBs. PARTICIPANTS: Nineteen volunteers completed the study (female = 13, males = 6; age = 20.5 ± 0.9 years; weight = 75.0 ± 19.1 kg; height = 165.1 ± 7.1 cm). MAIN OUTCOME MEASURES: We measured Tc pre-, post-, and every 15 minutes during activity and recorded wet-bulb globe temperature (WBGT) and relative humidity (RH) every 15 minutes. Other variables included activity time and intensity, ground surface, hydration characteristics (fluid volume, sweat rate, urine specific gravity, percent body mass loss [%BM]), and medical history (eg, previous EHI, medications). Statistical analysis included descriptives (mean ± standard deviation), comparative analyses determined differences within and between days, and linear regression identified variables that significantly explained Tc. RESULTS: Mean rehearsal time = 102.8 ± 19.8 minutes and game time = 260.5 ± 47.7 minutes. Max game Tc (39.1 ± 1.1°C) was significantly higher than rehearsal (38.4 ± 0.7°C, P = .003). The highest max game Tc = 41.2°C. Participants consumed significantly more fluid than their sweat rates (P < .003), which minimized %BM loss, particularly during rehearsals (-0.4 ± 0.6%). Mean game %BM loss = -0.9 ± 2.0%; however, 63.6% of the time, participants reported hypohydrated to game day. Max Tc was significantly predicted by max WBGT, max RH, ground surface, using mental health medications, and hours of sleep (adjusted R2 = 0.542, P < .001). CONCLUSIONS: Marching band artists experience high Tc during activity and should have access to athletic trainers who can implement EHI prevention and management strategies.