779 2784 May 31 1:40 PM - 1:50 PM Examination of Eating Disorder Risk among Recreational Athletes Nancy A. Uriegas 1 , Toni M. Torres-McGehee 1 , Allison B. Smith 1 , Dawn M. Emerson 2 , Kelly Pritchett 3 . 1 University of South Carolina, Columbia, SC. 2 University of Kansas, Lawrence, KS. 3 Central Washington University, Ellensburg, WA. (No relationships reported) With fitness becoming a new trend (e.g., Pure Barre, Zumba, CrossFit, Mudrun, marathons, etc.) the general adult recreational athlete may be engaging in the same physical demands and mental stressors associated with organized sport. In turn, this may predispose the recreational athlete to being at risk for disordered eating (DE)/eating disorders (ED). PURPOSE: To examine the prevalence of Eating Disorder (ED) risk across gender in male and female recreational athletes. METHODS: Data from a larger cross sectional study was used. A convenience sample of male and female recreational athletes (n=58; age: 26.4±6.1 years; males: n=34; height: 179.1±6.2 cm; weight: 78.3±10.4 kg; females: n=24, height: 164.9±6.6 cm, weight: 65.4±9.0 kg) from the southeastern region of the United States participated in the study. Participants completed a basic demographic survey, the Eating Disorder Inventory-3 (EDI-3), and the EDI-3 Symptoms Checklist (SC). Basic descriptive statistics were used for demographic information. Cross-tabulations were used to examine the proportion of participants classified as “at risk for EDI-3 and EDI-3 SC” across gender. RESULTS: Significant differences were found between ED risk and gender [Χ 2 (3, N=58) = 11.8, P=0.008]: within gender groups for EDI-3 (males:17.6%, n=6; females: 4.2%, n=1), EDI-3 SC (males:17.6%, n=6; females: 45.8%, n=11), and both EDI-3 and EDI-3 SC (males:26.5%, n=9; females: 41.7%, n=10). Overall, significant differences were found between pathogenic behaviors and gender for dieting (males: 20.7%, n=12; females: 29.3%, n=17, P=0.008) and purging (males: 0.0%, n=0; females: 5.2%, n=3, P=0.034). No significant differences were found for exercise 50-100% of the time to lose weight (males:3.4%, n=2; females: 5.2%, n=3); binge eating (males:15.5%, n=9; females: 15.5%, n=9), laxatives (males:3.4%, n=2; females: 0.0%, n=0), diet pill use (males:5.2%, n=3; females: 8.6%, n=5), and use of diuretics (males:1.7%, n=1; females: 1.7%, n=1). CONCLUSION: ED risk was prevalent for both male and female recreational athletes; however females displayed an overall higher risk for EDs and pathogenic behaviors such as dieting and purging. In this new and growing population education, prevention, and clinical interventions from qualified healthcare professionals should be accessible. 2785 May 31 1:50 PM - 2:00 PM Sport Differences In Resiliency Development Of Men’s NCAA Football And Basketball Athletes Justin R. Geijer, Connie A. Mettille. Winona State University, Winona, MN. (No relationships reported) The National Collegiate Athletic Association (NCAA) has recently identified mental health as a primary health concern for student-athletes. Each sport contains its own unique stressors, which may require sport-specific stress reduction and resiliency-building techniques. PURPOSE: The purpose of this investigation was to identify the differences in stress impacts and resiliency in men’s NCAA football and basketball athletes. METHODS: Thirteen NCAA Division II men’s basketball athletes 32 NCAA Division II men’s football athletes were surveyed before and after the 2016-2017 competition season. The survey contained 35 questions, which were selected from the College Student Health Survey (Boynton Health, University of Minnesota, Minneapolis, MN). The survey addressed aspects of physical health, drug and alcohol use, screen time, relationships, sleep, stress management, and resiliency. Post-season surveys were analyzed to determine differences between sports in stress management and resiliency. Independent t-tests were used to determine differences between survey question responses. Alpha levels were set at 0.05. RESULTS: Football athletes reported significantly better ability to respond to adversity (p<0.001), and withstand difficult situations (p<0.001). No significant difference existed between the sports in regards to the number of days their physical health (p=0.58) or mental health (p=0.95) was negatively impacted in the past 30 days. CONCLUSIONS: While no significant differences existed in the number of days in which mental or physical health was negatively impacted, significant differences were found in the football and basketball athletes’ perceived abilities to respond to stressful situations. Future research should investigate the devel opment and efficacy of sport-specific resiliency-building techniques. 2786 May 31 2:00 PM - 2:10 PM A Comparison Of Depression, Anxiety, And Stress Levels Of Basketball Athletes In Different Collegiate Divisions Jessica E. Jochum, Lauren Blyly, Kendall Beckstein, Mallory Meyers. University of Indianapolis, Indianapolis, IN. (Sponsor: Amy Jo Sutterluety, FACSM) Email: jochumj@uindy.edu (No relationships reported) Participating in sports helps to promote a healthy lifestyle. However, as competition level increases so do physical, emotional, and mental demands placed on the athletes. These increased demands could also increase susceptibility to depression, anxiety, and stress. PURPOSE To investigate differences in self-reported in-season levels of stress, anxiety and depression in collegiate men’s and women’s basketball players from col legiate levels of NCAA Division I, II, III and the NAIA. METHODS 102 collegiate basketball players completed the Depression Anxiety and Stress Scale 42 (DASS-42) and demographic information questionnaire including variables measuring hours of sleep, credit hours enrolled and history of injury. The DASS-42 is a self-reported questionnaire that uses three scales to measure an individual’s emotional state of depression, anxiety, and stress; each scale has fourteen items. Of the 102 athletes, 26 were from a NCAA Division I, 31 from Division II, 23 from Division III, and 22 from the NAIA, (n male = 54 (52.9%), n female = 48 (47.1%)). An alpha level of p ≤ .05 was set for statistical significance. The Kruskal-Wallis test was used to compare by division level and the Mann-Whitney U test was used to compare gender and credit hours. The Pearson chi-square test was used to compare gender and hours of sleep. RESULTS There was not a statistically significant difference in stress, anxiety and depression scores by division levels (DI, DII, DIII and NAIA), p = .965, p = .383, p = .729, respectively. However, differences were found between males and females, with females reporting higher levels of stress compared to males (median score 4.0 and 13.0, respectively; p < .001), anxiety (median score 3.0 and 6.0, respectively; p < .001) and depression (2.0 and 5.0, respectively; p = .003). A comparison of hours of sleep by gender revealed males were likely to get more sleep, however the difference was not statistically significant (p = .182). Similarly there was also not a statistically significant difference between males and females for the number of credit hours currently taken (p = .221), but females were more likely to take more credit hours. CONCLUSION Comparison revealed no statistical difference between collegiate settings. However, female athletes are at greater risk of depression, anxiety, and stress than males. 2787 May 31 2:10 PM - 2:20 PM Screening Athletes For Disordered Eating: Are We Asking The Right Questions? Franklin Sease, FACSM, Vicki Nelson. Greenville Health System, Greenville, SC. (No relationships reported) PURPOSE: Little data is available to evaluate the performance of preparticipation screening questions in practice. The performance of consensus PPE questions was examined in comparison to the validated 5-question SCOFF screening tool to detect eating disorders. METHODS: 230 collegiate athletes (194 male) completed an anonymous survey including 3 consensus PPE questions regarding eating habits (prior history of eating disorder, adherence to a special diet, and current attempts to gain or lose weight) and the SCOFF screening tool. RESULTS: 10 athletes (4.3%, 3.6% of males, 8.3% of females) screened positive for an eating disorder using the SCOFF tool. The standard PPE questions combined to identify 43% of athletes as having concerning dietary habits (sensitivity 50%, specificity 59%, positive predictive value 5%, negative predictive value 98%). One athlete self-reported a diagnosed eating Copyright © 2019 by the American College of Sports Medicine. Unauthorized reproduction of this article is prohibited.