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Preclinical research has demonstrated a window of vulnerability in the immediate aftermath of concussion wherein continued activity and stimulation can impair or prolong neurobehavioral recovery. However, this concept has not been quantified in a human population.Context: To examine the effect of delayed reporting and removal from athletic activity after concussion on recovery time.Objective: Cross-sectional study.Design: A National Collegiate Athletic Association Division I university.Setting: Ninety-seven athletes who sustained a sport-related concussion between 2008 and 2015 were analyzed (age = 20.4 ± 1.3 years). Athletes were grouped as immediate removal from activity (I-RFA) or delayed removal from activity (D-RFA).Patients or Other Participants: Days missed was defined as the number of days between the concussion-causing event and clearance for return to contact. Associations between RFA group and prolonged (8 or more days') versus normal (7 or fewer days') recovery were also analyzed.Main Outcome Measure(s): Fifty (51.5%) of the 97 athletes did not immediately report concussion symptoms. The D-RFA athletes averaged 4.9 more days missed than the I-RFA athletes. Membership in the specific RFA group predicted days missed even after controlling for sex, concussion history, learning disability or attention-deficit/hyperactivity disorder diagnosis, diagnosed psychological disorder, and acute symptom severity ( R 2 change = 0.097, β = .319, P = .002). The D-RFA athletes were approximately 2.2 times more likely to have a prolonged recovery (8 or more days) compared with the I-RFA athletes (χ 2 = 10.268, P = .001, φ = 0.325).Results: Athletes who do not immediately report symptoms of a concussion and continue to participate in athletic activity are at risk for longer recoveries than athletes who immediately report symptoms and are immediately removed from activity. Continuing to participate in athletic activity during the immediate aftermath of a concussion potentially exposes the already injured brain to compounded neuropathophysiologic processes.Conclusions:

Epidemiologic studies have identified differences in concussion incidence between the sexes. However, few authors to date have updated injury rates (IRs) and time loss between male and female concussed athletes.Context: To examine sex differences in IRs and time loss in concussed National Collegiate Athletic Association (NCAA) athletes.Objective: Descriptive epidemiologic study.Design: National Collegiate Athletic Association athletics.Setting: A total of 1702 concusssed NCAA athletes, consisting of 903 females and 779 males participating in soccer, basketball, ice hockey, lacrosse, softball, or baseball over a 5-year period from 2004–2005 through 2008–2009.Patients or Other Participants: Using the NCAA Injury Surveillance Program, athletic trainers reported concussions, athlete-exposures (AEs), and time loss across 10 NCAA sports. An IR is the number of injuries in a particular category divided by the number of AEs in that category.Main Outcome Measure(s): During the study period, 1702 concussions were reported during 4 170 427 AEs for an overall total of 5.47 per 10 000 AEs. In sex-comparable sports, females had a 1.4 times higher overall concussion IR than males (IRs = 4.84 and 3.46, respectively), with greater rates in women's baseball/softball, basketball, ice hockey, and soccer than men. Female soccer and basketball players also displayed more time loss after concussion compared with male basketball and soccer players.Results: Female athletes sustained a higher rate of concussion and, in all sports except lacrosse, had greater time loss from concussion than male athletes. Additional research is needed on sex differences in time loss after concussions.Conclusions:

The National Collegiate Athletic Association held the first women's soccer championship in 1982; sponsorship and participation have greatly increased since.CONTEXTThe National Collegiate Athletic Association held the first women's soccer championship in 1982; sponsorship and participation have greatly increased since.Routine examinations of athlete injuries are important for identifying emerging temporal patterns.BACKGROUNDRoutine examinations of athlete injuries are important for identifying emerging temporal patterns.Exposure and injury data collected in the National Collegiate Athletic Association Injury Surveillance Program during the 2014-2015 through 2018-2019 seasons were analyzed. Injury counts, rates, and proportions were used to describe injury characteristics, and injury rate ratios were used to examine differential injury rates.METHODSExposure and injury data collected in the National Collegiate Athletic Association Injury Surveillance Program during the 2014-2015 through 2018-2019 seasons were analyzed. Injury counts, rates, and proportions were used to describe injury characteristics, and injury rate ratios were used to examine differential injury rates.The overall injury rate was 8.33 per 1000 athlete-exposures. Lateral ligament complex tears (ankle sprains) (8.6%), concussions (8.3%), and quadriceps tears (5.0%) were the most commonly reported injuries. Rates of lateral ligament complex tears followed an increasing trajectory during the study period, whereas quadriceps tear rates fluctuated during the early years, and concussion rates decreased then increased.RESULTSThe overall injury rate was 8.33 per 1000 athlete-exposures. Lateral ligament complex tears (ankle sprains) (8.6%), concussions (8.3%), and quadriceps tears (5.0%) were the most commonly reported injuries. Rates of lateral ligament complex tears followed an increasing trajectory during the study period, whereas quadriceps tear rates fluctuated during the early years, and concussion rates decreased then increased.The findings of this study were mostly consistent with existing evidence; notable temporal patterns were observed with regard to lateral ligament complex tears and concussions.SUMMARYThe findings of this study were mostly consistent with existing evidence; notable temporal patterns were observed with regard to lateral ligament complex tears and concussions.

Higher rates of practice and competition injuries, as well as ankle sprains, were observed relative to previous reports; continuous monitoring is necessary to identify potential contributing factors to these trends.

RED-S is a contraindication for women in the sport. The purpose of the exercise was originally getting results in the form of a healthy and a fit body, but the female athletes when exercise is done with intensity is too high then suffered great mental distress that would arise RED-S disease include anorexia nervosa, amenorrhea, and osteoporosis. This study aims to identify the RED-S in women swimmer athletes. The results showed that the identification of RED-S in the women swimmer athlete is as follows: In objective based on the control of anorexia nervosa in detail that there were 26 (100%) athletes who entered in categories of anorexia nervosa. While the detailed control of amenorrhoea that there are 25 (96.15%) athletes who fall into the category of secondary amenorrhoea and 1 (3.85%) athletes who fall into the category of primary amenorrhoea. Then in the control of Osteoporosis in detail there are 0 (0%) athletes who fall into the category of high osteoporosis, 12 (46.15%) athletes who fall into the category of moderate osteoporosis, and 14 (53.85%) athletes who fall into the category of low osteoporosis. In Subjective based on the tendency of the RED-S, as many as three athletes (11.54 %) were in the category of very high, 3 athletes (11.54 %) were in the high category, 13 athletes (50.00%) were in the category of being, 5 athletes (19.23 %) were categorized as low, and 1 athlete (3.85%) were categorized as very low. While based on the RED-S risk factors, as many as four athletes (15.38%) were in the category of very high, 5 athletes (19.23%) were in the high category, 12 athletes (46.15%) were in the category medium, 2 athletes (7.69 %) were included in the low category, and 3 athletes (11.54%) were in the category of very low.

Introduction: This has prompted scientists and sports trainers to conduct studies aimed at finding ways to help athlete achieve peak performance. Objective: This study was conducted to determine the effects of Bee Honey supplementation during the Special Preparation Stage (SPS) on cognitive function, lactic acid levels, and VO2Max in female athlete at the Riau Province Student Education and Training Center (PPLP). Methodology: An experimental method was used and the samples were 56 female athletes from PPLP Riau Province. VO2Max was assessed using the Beep Test, Lactic Acid levels were determined with The Edge Blood Lactate Monitoring System, and the participants performed four cognitive function tasks namely Choice Reaction Time Test (CRT), Concentration Grid Test (CGT), Visualization of Rotations (VR), and Digit Symbol Substitution Test (DSST). Data obtained were analyzed using ANOVA test (p<0.05). Results: The results showed that there were significant improvements in cognitive function, a reduction in lactic acid levels, and an increase in VO2Max in athlete who received Bee Honey supplementation. There were significant differences observed in the pretest, midtest, and posttest measurements of cognitive function, lactic acid levels, and VO2Max among athlete groups (p<0.05). Discussion: The results showed that both Bee Honey supplementation and SPS Exercise led to enhanced cognitive function, reduced lactic acid levels, and improved VO2Max in female athlete. Conclusions: Based on the results, Bee Honey supplementation was effective during the SPS in enhancing cognitive function, reducing lactic acid levels, and improving VO2Max in female athlete. Introducción: Esto ha impulsado a científicos y entrenadores deportivos a realizar estudios destinados a encontrar formas de ayudar a los atletas a alcanzar el máximo rendimiento. Objetivo: Este estudio se llevó a cabo para determinar los efectos de la suplementación con miel de abeja durante la Fase de Preparación Especial (SPS) en la función cognitiva, los niveles de ácido láctico y el VO2Max en atletas femeninas del Centro de Educación y Formación de Estudiantes de la Provincia de Riau (PPLP). Metodología: Se utilizó un método experimental y las muestras fueron 56 atletas femeninas del PPLP de la provincia de Riau. Se evaluó el VO2Max mediante la prueba del pitido, se determinaron los niveles de ácido láctico con el sistema Edge de monitorización del lactato en sangre y las participantes realizaron cuatro tareas de función cognitiva, a saber, la prueba de tiempo de reacción de elección (CRT), la prueba de cuadrícula de concentración (CGT), la prueba de visualización de rotaciones (VR) y la prueba de sustitución de símbolos numéricos (DSST). Los datos obtenidos se analizaron mediante la prueba ANOVA (p<0,05). Resultados: Los resultados mostraron que se produjeron mejoras significativas en la función cognitiva, una reducción de los niveles de ácido láctico y un aumento del VO2Max en los atletas que recibieron suplementos de miel de abeja. Se observaron diferencias significativas en las mediciones pretest, midtest y posttest de la función cognitiva, los niveles de ácido láctico y el VO2Max entre los grupos de atletas (p<0,05). Discusión: Los resultados mostraron que tanto la suplementación con miel de abeja como el ejercicio SPS mejoraron la función cognitiva, redujeron los niveles de ácido láctico y mejoraron el VO2Max en atletas femeninas. Conclusiones: Según los resultados, la suplementación con miel de abeja fue eficaz durante el SPS para mejorar la función cognitiva, reducir los niveles de ácido láctico y mejorar el VO2Max en atletas femeninas. Introdução: Isto foi impulsionado por cientistas e treinadores desportivos para realizar estudos destinados a encontrar formas de ajudar os atletas a alcançar o rendimento máximo. Objectivo: Este estúdio foi levado a cabo para determinar os efeitos da suplementação com mel de abelha durante a Fase de Preparação Especial (SPS) na função cognitiva, os níveis de ácido láctico e o VO2Max em atletas femininas do Centro de Educação e Formação de Estudantes da Província de Riau (PPLP). Metodologia: Foi utilizado um método experimental e as apresentações foram feitas por 56 atletas femininas do PPLP da província de Riau. O VO2Max foi avaliado através do teste de pitido, os níveis de ácido láctico foram determinados com o sistema Edge de monitorização do lactato no sangue e os participantes realizaram quatro tarefas de função cognitiva, nomeadamente o teste de tempo de reação de seleção (CRT), o teste de quadra de concentração (CGT), o teste de visualização de rotações (VR) e o teste de substituição de símbolos numéricos (DSST). Os dados obtidos foram analisados através do teste ANOVA (p<0,05). Resultados: Os resultados mostram que foram produzidos melhores resultados na função cognitiva, uma redução dos níveis de ácido láctico e um aumento do VO2Max nos atletas que receberam suplementos de mel de abelha. Veja as diferenças significativas nas medidas pré-teste, meio-teste e pós-teste da função cognitiva, nos níveis de ácido láctico e no VO2Max entre os grupos de atletas (p<0,05). Discussão: Os resultados mostram que tanto a suplementação com mel de abelha como o exercício SPS melhoraram a função cognitiva, reduziram os níveis de ácido láctico e melhoraram o VO2Max em atletas do sexo feminino. Conclusões: De acordo com os resultados, a suplementação com mel de abelha foi eficaz durante o SPS para melhorar a função cognitiva, reduzir os níveis de ácido láctico e melhorar o VO2Max em atletas do sexo feminino.

Neurocognitive test scores are often considered an important aspect of concussion management. To best use these data, clinicians must understand potential factors that may influence baseline performance on these tests. To determine preexisting factors that may influence performance on the Immediate Post-Concussion Assessment and Cognitive Test (ImPACT). Cross-sectional study. Research laboratory. A total of 486 National Collegiate Athletic Association Division I collegiate student-athletes. To determine neurocognitive functioning and total symptom score at baseline, ImPACT was administered. Outcomes were verbal memory, visual memory, visual motor speed, reaction time, and total symptom score. A self-report demographic section at the beginning of ImPACT was used to gather information concerning previous treatment for headaches, migraines, and psychiatric conditions; diagnosis of attention-deficit/hyperactivity disorder; and exposure to previous strenuous exercise. We conducted multivariate analyses of variance to determine if the ImPACT composite and total symptom scores differed according to preexisting factors (P < .0083). Sex showed an effect on verbal memory (P = .001), visual motor speed (P < .001), and reaction time (P = .006), with women performing better than men. A previous diagnosis of attention-deficit/hyperactivity disorder affected visual motor speed (P = .008). Previous treatment for headaches (P < .001), migraines (P = .001), a psychiatric condition (P < .001), or a diagnosis of attention-deficit/hyperactivity disorder (P < .001) all showed effects on the total symptom score. Strenuous exercise did not affect neurocogntive performance or total symptom score. Based on our findings and the previous literature, we suggest that many preexisting factors influence baseline neurocognitive data. Baseline testing is an important aspect of concussion management. Sports medicine professionals should be cognizant of these factors when developing concussion-management protocols.

Although fatigue has been implicated in anterior cruciate ligament (ACL) injury, few researchers have examined the timing of injury across a competitive sport season or within a competitive session to gain insight into the potential effects of fatigue on the incidence of ACL injury. To identify the time segments across a competitive season or within an individual competition associated with the greatest ACL injury incidence. Descriptive epidemiology study. Data from the National Collegiate Athletic Association Injury Surveillance Program for 2004-2005 through 2015-2016 for basketball, lacrosse, and soccer were analyzed. Incidence rate ratios (IRRs) compared ACL injury rates by sport, sex, season segment, and competition period. Poisson regression was used to examine the associations between each of these categories and the incidence of ACL injury as well as interaction effects. During the early regular season, the incidence rate was elevated relative to the preseason (IRR = 1.86; 95% confidence interval [CI] = 1.27, 2.74), middle regular season (IRR = 1.48; 95% CI = 1.01, 2.15), late regular season (IRR = 1.56; 95% CI = 1.08, 2.27), and postseason (IRR = 2.20; 95% CI = 1.06, 4.56). A sport-by-season interaction indicated this effect was largely attributable to a higher incidence in the early season among lacrosse athletes. An interaction between season segment and competition period ( = .02) revealed a greater injury incidence before halftime in the early regular season (IRR = 0.38, 95% CI = 0.19, 0.76), but a greater incidence after halftime in the late regular season (IRR = 2.40, 95% CI = 1.15, 5.02). Fewer noncontact injuries occurred in soccer than in basketball or lacrosse. The ACL injury incidence was higher in the early part of the regular season, particularly among lacrosse athletes. Although the injury incidences before and after halftime were similar, further analyses of player time and time of injury within each half are necessary. Coaches and practitioners should be cognizant of the elevated injury incidence during the early season among lacrosse athletes. Future authors should consider more specific analyses to further elucidate the potential role of fatigue development in exacerbating the incidence of ACL injury in collegiate athletes both within games and across the season.

Few researchers have examined the rates and patterns of quadriceps strains in student-athletes in the National Collegiate Athletic Association (NCAA).   To describe the epidemiology of quadriceps strains in 25 NCAA sports during the 2009-2010 through 2014-2015 academic years.   Descriptive epidemiology study.   Convenience sample of NCAA programs from 25 sports during the 2009-2010 through 2014-2015 academic years. Patients or Other Particpants:  Collegiate student-athletes participating in men's and women's NCAA athletics during the 2009-2010 through 2014-2015 academic years.   Aggregate quadriceps strain injury and exposure data from the NCAA Injury Surveillance Program during the 2009-2010 through 2014-2015 academic years were analyzed. Quadriceps strain injury rates and injury rate ratios (IRRs) were reported with 95% confidence intervals (CIs).   Overall, 517 quadriceps strains were reported, resulting in an injury rate of 1.07/10 000 athlete-exposures (AEs). The sports with the highest overall quadriceps strain rates were women's soccer (5.61/10 000 AEs), men's soccer (2.52/10 000 AEs), women's indoor track (2.24/10 000 AEs), and women's softball (2.15/10 000 AEs). Across sex-comparable sports, women had a higher rate of quadriceps strains than men overall (1.97 versus 0.65/10 000 AEs; IRR = 3.03; 95% CI = 2.45, 3.76). The majority of quadriceps strains were sustained during practice (77.8%). However, the quadriceps strain rate was higher during competition than during practice (1.29 versus 1.02/10 000 AEs; IRR = 1.27; 95% CI = 1.03, 1.56). Most quadriceps strains occurred in the preseason (57.8%), and rates were higher during the preseason compared with the regular season (2.29 versus 0.63/10 000 AEs; IRR = 3.60; 95% CI = 3.02, 4.30). Common injury mechanisms were noncontact (63.2%) and overuse (21.9%). Most quadriceps strains restricted participation by less than 1 week (79.3%).   Across 25 sports, higher quadriceps strain rates were found in women versus men, in competitions versus practices, and in the preseason versus the regular season. Most quadriceps strains were minor in severity, although further surveillance is needed to better examine the risk factors associated with incidence and severity.

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. 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. Cross-sectional study. Free living in sport-specific settings. 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). 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. 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). 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.