Effects of Transspinal Direct Current Stimulation on Cycling Perception of Effort and Time to Exhaustion.

ABSTRACT: Ciccone, AB, Fry, AC, Emerson, DM, Gallagher, PM, Herda, TJ, and Weir, JP. Effects of transspinal direct current stimulation on cycling perception of effort and time to exhaustion. J Strength Cond Res 35(2): 347-352, 2021-In the past decade, researchers have investigated the efficacy of transspinal direct current stimulation (tsDCS) on the central nervous system and afferent neuron function in humans. Recently, data have suggested it may be possible for such tsDCS-induced changes in neuromuscular function to enhance performance. This study used noninvasive thoracic spine tsDCS to determine if cycling performance and perception of effort could be modulated by tsDCS. In 3 different stimulation conditions, anodal, cathodal, and sham, subjects cycled at 80% of their maximal aerobic capacity until exhaustion and reported their rating of perceived exertion (RPE) every minute. From this period, we compared the RPE responses over the first 3 minutes and time to exhaustion. There was no significant difference in time to exhaustion between anodal (408 ± 121 seconds), cathodal (413 ± 168 seconds), and sham (440 ± 189 seconds) conditions (p = 0.58). There was no significant difference in RPE from minutes 1-3 (collapsed across time) between anodal (12.9 ± 2.4 arbitrary units (AUs)), cathodal (13.3 ± 2.2 AUs), and sham (12.9 ± 2.1 AUs) conditions (p = 0.51). These data suggest tsDCS condition did not influence cycling performance or perception of effort during high-intensity cycling. Therefore, thoracic spine and lower abdominal montage delivering a current density of 0.071 mA·cm-2 for 20 minutes likely does not substantially improve high-intensity cycling work capacity. Therefore, more research is needed to investigate the efficacy of tsDCS and which stimulation methods may and may not enhance human performance.

Non-steroidal anti-inflammatory drugs on core body temperature during exercise: A systematic review.

BACKGROUND: Because of their anti-pyretic effects, some individuals prophylactically use non-steroidal anti-inflammatory drugs (NSAIDs) to blunt core temperature (Tc) increases during exercise, thus, potentially improving performance by preventing hyperthermia and/or exertional heat illness. However, NSAIDs induce gastrointestinal damage, alter renal function, and decrease cardiovascular function, which could compromise thermoregulation and increase Tc. The aim of this systematic review was to evaluate the effects of NSAIDs on Tc in exercising, adult humans. METHODS: We conducted searches in MEDLINE, PubMed, Cochrane Reviews, and Google Scholar for literature published up to November 2020. We conducted a quality assessment review using the Physiotherapy Evidence Database scale. Nine articles achieved a score ≥ seven to be included in the review. RESULTS: Seven studies found aspirin, ibuprofen, and naproxen had no effect (p > .05) on Tc during walking, running, or cycling for ≤ 90 min in moderate to hot environments. Two studies found significant Tc changes. In one investigation, 81 mg of aspirin for 7-10 days prior to exercise significantly increased Tc during cycling (p < .001); final Tc at the end of exercise = 38.3 ± 0.1 °C vs. control = 38.1 ± 0.1 °C. In contrast, participants administered 50 mg rofecoxib for 6 days experienced significantly lower Tc during 45 min of cycling compared to placebo (NSAID Tc range ≈ 36.7-37.2 °C vs control ≈ 37.3-37.8 °C, p < 0.05). CONCLUSIONS: There are limited quality studies examining NSAID effects on Tc during exercise in humans. The majority suggest taking non-selective NSAIDs (e.g., aspirin) 1-14 days before exercise does not significantly affect Tc during exercise. However, it remains unclear whether Tc increases, decreases, or does not change during exercise with other NSAID drug types (e.g., naproxen), higher dosages, chronic use, greater exercise intensity, and/or greater environmental temperatures.

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.

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.

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.

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.

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.

Gastrointestinal cell injury and perceived symptoms after running the Boston Marathon.

Gastrointestinal (GI) disturbances are a prevalent cause of marathon related complaints, and in extreme cases can promote life-threatening conditions such as exertional heat stroke. Our aim was to study intestinal cell injury [via intestinal fatty acid binding protein (I-FABP)] and perceived GI distress symptoms among marathon runners. We also examined potential risk factors (e.g., inadequate sleep) that could exacerbate GI disturbances in healthy, trained endurance runners. This was a parallel mixed-methods study design. 2019 Boston Marathon participants were recruited via email and subjects completed surveys before the race describing demographics and training history. Participants completed a GI questionnaire to assess presence and severity of symptoms, a survey regarding risk factors (e.g., recent illness, medications) that could promote GI disturbances, and provided a urine sample at three time points (immediately pre-race, post-race, and 24-h post-race). Due to weather, blood samples were only collected immediately and 24-h post-race. A total of 40 runners (males: n = 19, age = 44.9 ± 10.8 years; females: n = 21, age = 44.8 ± 10.6 years) completed this study. I-FABP significantly decreased from post-race (3367.5 ± 2633.5 pg/mL) to 24-h post-race (1657.3 ± 950.7 pg/mL, t (39) = -4.228, p < .001, d = -.669). There was a significant difference in overall GI symptom scores across the three time points (F (2, 39) = 41.37, p < .001). The highest average score occurred post-race (.84 ± .68), compared to pre-race (.09 ± .12) and 24-h post-race (.44 ± .28). Post-race I-FABP (r = .31, p = .048) and post-race urine specific gravity (r = .33, p = .041) were significantly correlated with post-race GI symptom scores. Our study provides further support to the individualized nature of GI disturbances, with participants experiencing a wide range of risk factors that can influence the extent of GI damage and perceived symptoms during and after exercise.

Investigation of Eating Disorder Risk and Body Image Dissatisfaction among Female Competitive Cheerleaders.

Social agents associated with cheerleading environments are increasingly linked to body image dissatisfaction (BID) and eating disorders (ED). This study examined ED risk across team type, squad type, and position. An additional purpose determined BID in clothing type (daily clothing, midriff uniform, and full uniform), and meta-perceptions from the perspective of peers (MP peers), parents (MP parents), and coaches (MP coaches). Female cheerleaders (n = 268) completed an online survey which included demographics, the Eating Attitudes Test-26, and pathogenic behavior questions. Body image perceptions were assessed by using the Sex-Specific Figural Stimuli Silhouettes. Overall, 34.4% of cheerleaders (n = 268; mean age: 17.9 ± 2.7 years) exhibited an ED risk. Compared to All-Star cheerleaders, college cheerleaders demonstrated significant higher ED risk (p = 0.021), dieting subscale scores (p = 0.045), and laxative, diet pill, and diuretic use (p = 0.008). Co-ed teams compared to all-girl teams revealed higher means for the total EAT-26 (p = 0.018) and oral control subscale (p = 0.002). The BID in clothing type revealed that cheerleaders wanted to be the smallest in the midriff option (p < 0.0001, η2 = 0.332). The BID from meta-perception revealed that cheerleaders felt that their coaches wanted them to be the smallest (p < 0.001, η2 = 0.106). Cheerleaders are at risk for EDs and BID at any level. Regarding the midriff uniform, MP from the perspective of coaches showed the greatest difference between perceived and desired body image.

Examination of the Prevalence of Female Athlete Triad Components among Competitive Cheerleaders.

The purpose of this study was to examine individual and combined Female Athlete Triad components within collegiate cheerleaders, an at-risk group. Cheerleaders (n = 19; age: 20.3 ± 1.2 years) completed anthropometric measurements, health history questionnaires, resting metabolic rate, the eating disorder inventory-3 and symptom checklist, blood sample, and DXA scan. Participants completed dietary and exercise logs for 7 days and used heart rate monitors to track daily and exercise energy expenditure. Proportions were calculated for low energy availability (LEA) risk, disordered eating risk, and pathogenic behaviors. Chi-square analysis was used to determine the difference between cheerleaders who experience low EA with or without disordered eating risk. All cheerleaders demonstrated LEA for the days they participated in cheerleading practice, 52.6% demonstrated LEA with eating disorder risk and 47.4% demonstrated LEA without eating disorder risk, 52.6% self-reported menstrual dysfunction, 14% experienced menstrual dysfunction via hormonal assessment, and 0% demonstrated low bone mineral density. Overall, 47.7% presented with one Triad component, 52.6% demonstrated two Triad components using self-reported menstrual data, and 10.5% demonstrated two Triad components using hormonal assessments. All cheerleaders displayed LEA. These findings support the need for increased education on the individual components of the Triad and their potential consequences by qualified personal.

Practices of Athletic Trainers Using Weight Charts to Determine Hydration Status and Fluid-Intervention Strategies.

CONTEXT: Determining an athlete's hydration status allows hydration-related concerns to be identified before significant medical or performance concerns arise. Weight charts are an accurate measure of hydration status changes, yet their clinical use by athletic trainers (ATs) is unknown. OBJECTIVE: To investigate ATs' use of weight charts in athletic settings and describe their subsequent clinical decisions. DESIGN: Cross-sectional survey. SETTING: High schools and National Collegiate Athletic Association Divisions I, II, III and National Association Intercollegiate Athletics colleges. PATIENTS OR OTHER PARTICIPANTS: A total of 354 ATs (men = 162, women = 175; 17 respondents did not answer the demographic questions) responded across athletic settings (Division I [45.7%]; Division II, Division III, National Association Intercollegiate Athletics combined [n = 19.9%]; and high school [34.4%]). MAIN OUTCOME MEASURE(S): The 26-question online survey was developed by content experts and pilot tested before data collection. Participants answered questions focused on weight-chart use (implementation, timing, and calculations) and clinical decision processes (policies, interventions, and referral). Frequency statistics were calculated. RESULTS: The majority of ATs (57.2%) did not use weight charts. Of those who did, most (76.0%) used charts with football, soccer (28%), and wrestling (6%) athletes. They calculated changes as either an absolute (42.2%) or percentage (36.7%) change from prepractice to postpractice; only 11.7% used a baseline weight for calculations. Of those who used the percentage change in body mass, 66.0% selected a threshold of -3% to -4% for an intervention. Most ATs (97.0%) intervened with verbal education, whereas only one-third (37.0%) provided specific fluid amounts based on body mass changes. CONCLUSIONS: Typically, ATs in athletic settings did not use weight charts. They considered a body mass change of -3% the indication for intervention but did not specify rehydration amounts for hypohydrated athletes. Educational workshops or technology applications could be developed to encourage ATs to use weight charts and calculate appropriate individual fluid interventions for their athletes.

An acute naproxen dose does not affect core temperature or Interleukin-6 during cycling in a hot environment.

Non-steroidal anti-inflammatory drugs' anti-pyretic and anti-inflammatory effects has led some individuals to theorize these medications may blunt core body temperature (Tc) increases during exercise. We utilized a double-blind, randomized, and counterbalanced cross-over design to examine the effects of a 24-h naproxen dose (3-220 â€‹mg naproxen pills) and placebo (0 â€‹mg naproxen) on Tc and plasma interleukin-6 (IL-6) concentrations during cycling in a hot or ambient environment. Participants (n â€‹= â€‹11; 6 male, 5 female; age â€‹= â€‹27.8 â€‹± â€‹6.5 years, weight â€‹= â€‹79.1 â€‹± â€‹17.9 â€‹kg, height â€‹= â€‹177 â€‹± â€‹9.5 â€‹cm) completed 4 conditions: 1) placebo and ambient (Control); 2) placebo and heat (Heat); 3) naproxen and ambient (Npx); and 4) naproxen and heat (NpxHeat). Dependent measures were taken before, during, and immediately after 90 â€‹min of cycling and then 3 â€‹h after cycling. Overall, Tc significantly increased pre- (37.1 â€‹± â€‹0.4 â€‹°C) to post-cycling (38.2 â€‹± â€‹0.3 â€‹°C, F 1.7,67.3 â€‹= â€‹150.5, p â€‹< â€‹0.001) and decreased during rest (37.0 â€‹± â€‹0.3 â€‹°C, F 2.0,81.5 â€‹= â€‹201.6, p â€‹< â€‹0.001). Rate of change or maximum Tc were not significantly different between conditions. IL-6 increased pre- (0.54 â€‹± â€‹0.06 â€‹pg/ml) to post-exercise (2.46 â€‹± â€‹0.28 â€‹pg/ml, p â€‹< â€‹0.001) and remained significantly higher than pre-at 3 â€‹h post- (1.17 â€‹± â€‹0.14 â€‹pg/ml, 95% CI â€‹= â€‹-1.01 to -0.23, p â€‹= â€‹0.001). No significant IL-6 differences occurred between conditions. A 24-h, over-the-counter naproxen dose did not significantly affect Tc or IL-6 among males and females cycling in hot or ambient environments.

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.

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.

Exertional heat illness risk factors and physiological responses of youth football players.

OBJECTIVE: To determine which intrinsic and extrinsic exertional heat illness (EHI) risk factors exist in youth American football players and observe perceptual and physiological responses of players during events (games and practices). METHODS: Cross-sectional cohort study observing 63 youth football players, varying in position. Independent variables were league (weight-restricted (WR, n = 27) and age-restricted (AR, n = 36)) and event type. Dependent variables were anthropometrics, work-to-rest ratio, and wet bulb globe temperature. Descriptive variables included preparticipation examination and uniform configuration. A subset of 16 players participated in physiological variables (heart rate and gastrointestinal temperature). Data collection occurred on 7 AR and 8 WR nonconsecutive practices and the first 3 games of the season. RESULTS: Mean values for anthropometric variables were higher (p < 0.05) in the AR league than the WR league. Work time (χ2 (1,111) = 4.232; p = 0.039) and rest time (χ2 (1,111) = 43.41; p < 0.001) were significantly greater for games, but ratios were significantly higher for practices (χ2 (1,111) = 40.62; p < 0.001). The majority of events (77%) observed were in black and red flag wet bulb globe temperature risk categories. A total of 57% of the players had a preparticipation examination, and up to 82% of events observed were in full uniforms. Individual gastrointestinal temperature and heart rate responses ranged widely and no players reached critical thresholds. CONCLUSION: Extrinsic (disproportionate work ratios, environmental conditions) and intrinsic (higher body mass index) EHI risk factors exist in youth football. Certain risk factors may be influenced by event and league type. National youth football organizations need to create thorough guidelines that address EHI risk factors for local leagues to adopt.

Acute Kidney Injury Biomarkers and Hydration Outcomes at the Boston Marathon.

The purpose of our field study was to investigate the effects of running the Boston Marathon on acute kidney injury (AKI) biomarkers. We hypothesized that biomarker values would be elevated immediately post-marathon but would resolve in the 24-h post-marathon. Secondarily, we sought to identify sex differences related to renal stress. Participants were 65 runners who completed the Boston Marathon (46 ± 9 years, 65.4 ± 10.8 kg). Urine samples were collected at three different time points (pre-marathon, post-marathon, and 24-h post-marathon). Blood samples were collected post-marathon and 24-h post-marathon. Urine specific gravity (USG) and AKI biomarkers were evaluated. Pre-marathon USG (1.012 ± 0.007) was significantly less than post-marathon (1.018 ± 0.008) and 24-h post-marathon (1.020 ± 0.009; P < 0.001). Male USG (1.024 ± 0.009) was significantly greater 24-h post-marathon than females (1.017 ± 0.008; P = 0.019). Urinary neutrophil gelatinase-associated lipocalin values were significantly greater over time (P < 0.001), and there was a main effect of sex with female urinary creatinine (UCr) greater than males at all three time points (P = 0.040). Post-marathonUCr (366.24 ± 295.16 mg/dl) was significantly greater than pre-marathon (206.65 ± 145.28.56 mg/dl; p < 0.001) and 24-h post-marathon was significantly lower than other time-points (93.90 ± 125.07 mg/dl; P < 0.001). FemaleUCr values were significantly greater than males 24-h post-marathon (P < 0.001). There was no difference in serum cystatin C (SCys) values post- or 24-h post-marathon (P = 0.178). Serum creatinine (SCr) significantly decreased between post-marathon and 24-h post-marathon, (P < 0.001). We can infer that the characteristics unique to the Boston Marathon may have attributed to prolonged elevations in AKI biomarkers. Sex differences were observed during the Boston Marathon warranting further investigation.

Energy Balance, Eating Disorder Risk, and Pathogenic Behaviors Among Athletic Trainers.

CONTEXT: Research exists on energy balances (EBs) and eating disorder (ED) risks in physically active populations and occupations by settings, but the EB and ED risk in athletic trainers (ATs) have not been investigated. OBJECTIVE: To assess ATs' energy needs, including the macronutrient profile, and examine ED risk and pathogenic behavioral differences between sexes (men, women) and job statuses (part time or full time) and among settings (college or university, high school, nontraditional). DESIGN: Cross-sectional study. SETTING: Free-living in job settings. PATIENTS OR OTHER PARTICIPANTS: Athletic trainers (n = 46; male part-time graduate assistant ATs = 12, male full-time ATs = 11, female part-time graduate assistant ATs = 11, female full-time ATs = 12) in the southeastern United States. MAIN OUTCOME MEASURE(S): Anthropometric measures (sex, age, height, weight, body composition), demographic characteristics (job status [full- or part-time AT], job setting [college/university, high school, nontraditional], years of AT experience, exercise background, alcohol use), resting metabolic rate, energy intake (EI), total daily energy expenditure (TDEE), exercise energy expenditure, EB, macronutrients (carbohydrates, protein, fats), the Eating Disorder Inventory-3, and the Eating Disorder Inventory-3 Symptom Checklist. RESULTS: The majority of participants (84.8%, n = 39) had an ED risk, with 26.1% (n = 12) engaging in at least 1 pathogenic behavior, 50% (n = 23) in 2 pathogenic behaviors, and 10.8% (n = 5) in >2 pathogenic behaviors. Also, 82.6% of ATs (n = 38) presented in negative EB (EI < TDEE). Differences were found in resting metabolic rate for sex and job status (F1,45 = 16.48, P = .001), EI (F1,45 = 12.01, P = .001), TDEE (F1,45 = 40.36, P < .001), and exercise energy expenditure (F1,38 = 5.353, P = .026). No differences were present in EB for sex and job status (F1,45 = 1.751, P = .193); χ2 analysis revealed no significant relationship between ATs' sex and EB ({\rm{\chi }}_{1,46}^2= 0.0, P = 1.00) and job status and EB ({\rm{\chi }}_{1,46}^2 = 2.42, P = .120). No significant relationship existed between Daily Reference Intakes recommendations for all macronutrients and sex or job status. CONCLUSIONS: These athletic trainers experienced negative EB, similar to other professionals in high-demand occupations. Regardless of sex or job status, ATs had a high ED risk and participated in unhealthy pathogenic behaviors. The physical and mental concerns associated with these findings indicate a need for interventions targeted at ATs' health behaviors.

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.

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.

A 24 hour naproxen dose on gastrointestinal distress and performance during cycling in the heat.

Using a double-blind, randomized and counterbalanced, cross-over design, we assessed naproxen's effects on gastrointestinal (GI) distress and performance in eleven volunteers (6 male, 5 female). Participants completed 4 trials: 1) placebo and ambient); 2) placebo and heat; 3) naproxen and ambient; and 4) naproxen and heat. Independent variables were one placebo or 220 mg naproxen pill every 8 h (h) for 24 h and ambient (22.7 ±â€¯1.8°C) or thermal environment (35.7 ±â€¯1.3°C). Participants cycled 80 min at a steady heart rate then 10 min for maximum distance. Perceived exertion was measured throughout cycling. Gastrointestinal distress was assessed pre-, during, post-, 3 h post-, and 24 h post-cycling using a GI index for upper, lower, and systemic symptoms. No statistically significant differences occurred between conditions at any time for GI symptoms or perceived exertion, distance, or heart rate during maximum effort. A 24 h naproxen dose did not significantly affect performance or cause more frequent or serious GI distress when participants were euhydrated and cycling at moderate intensity in a thermal environment.