Student athletes (SAs) are faced with multiple hurdles upon stepping onto campus, including balancing their lives as a student with that of being an athlete for 20 or more hours per week. SAs typically maintain weekly physical activity (PA) recommendations as a by-product of participation in one’s sport. Because most SAs have high athletic identity, which remains fairly consistent throughout their lives, many incorrectly assume this will translate into a high exercise identity and greater PA throughout their life spans. Certainly, the challenge is how to assist SAs in transitioning from athlete to exerciser. Based on findings from previous research on barriers to maintaining healthy PA levels faced by student-athletes as they transition out of sport, the purpose of this study is to examine the components of resources that can help individuals navigate this transition. Phase I of the study was quantitative in nature and examined the relationship between athletic identity and exercise identity; the relationship was not significant; however, as expected, an individual’s level of exercise identity was related to one’s levels of moderate and vigorous exercise per week. Additionally, individuals with high athletic identity were more likely to participate in vigorous PA. For the purpose of the study, Phase II involved conducted hack groups (typically labeled as focus groups) to gain a deeper understanding of how practitioners can best serve athletes as they transition out of collegiate sport. According to the participants, attention should be given to the delivery method of resources. The most frequently cited form of delivery was that of a phone app with a social network. An app allows for individuals to access an online community of former SAs to not only process their experience but develop connections with like-minded individuals in the area. These connections were highlighted as a motivator for attending exercise groups and act as a form of accountability that may be missing from one’s life after the loss of one’s coach and/or team environment. Former SAs also reported the need for an increased awareness of one’s change in identity and help reframing exercise. Moreover, strategies to build community through authentic connection and shared values, along with assistance developing new routines and habits were deemed important. PA levels or one’s overall well-being may be positively influenced by these connections, but this remains to be studied in depth. The results of the present research indicate a need for attention on activities individuals enjoy rather than exercising for the sake of exercising. Experiencing positive feelings towards PA may in turn allow for increased present-moment awareness in the activity, leading to more enjoyment and potentially increased motivation to maintain PA following the transition out of collegiate sport. / Kinesiology

Over the past two decades, a large body of research has examined the issues of eating disorders as well as compensatory behaviors in collegiate competitive athletes. Up to 49.1% of student-athletes engage in disordered eating and compensatory behaviors, while up to 7.1% of athletes have symptoms that reach the threshold of formal psychiatric diagnoses. Greater symptoms are linked to reduced athletic and academic performance, both of which may impact physical and psychosocial functioning later in adulthood. However, most athletes suffer from these symptoms in isolation, as these behaviors are often undetected by athletic trainers and coaches. The purpose of the current study was: (a) to examine the prevalence of both formal eating disorders and disordered eating symptomatology in a sample of collegiate student-athletes; (b) to explore the frequency of compulsive exercise occurrence; (c) to investigate the differences in athletes’ disordered eating, compulsive exercise, and body image concerns by gender, sport type, and level of athletic participation; and (d) to assess the relationships among athletes’ disordered eating, compulsive exercise, and body image concerns, as well as associations between athletes’ age and each of these three variables. In total, 128 NCAA Division I varsity and club athletes completed the Eating Disorder Examination Questionnaire (EDE-Q), Compulsive Exercise Test (CET), and Multidimensional Body Self-Relations Questionnaire – Appearance Scales (MBSRQ-AS). Correlational analysis, Independent two-sample, and Welch’s t-tests were conducted to establish statistical significance for the relationships of interest. Out of 128 athletes, 11 athletes (8.6%) scored in the clinically significant range on at least one EDE-Q subscale. Four athletes (3.2%) met criteria for Bulimia Nervosa, 3 athletes (2.4%) met criteria for Binge Eating Disorder, and 2 athletes (1.6%) met criteria for Unspecified Feeding or Eating Disorder. In addition, 40 athletes (31.3%) reported subclinical symptoms of an eating disorder. Nineteen athletes (14.85%) scored above the clinical cut-off score for compulsive exercise behavior. Female athletes reported greater disordered eating symptomatology and body image dissatisfaction than males. In addition, lean-sport athletes had a higher prevalence of maladaptive eating behaviors than non-lean sport athletes. Age was not associated with athletes’ disordered eating, compulsive exercise, and body image scores. Also, no differences were found between club and varsity athletes for the same variables. Positive correlations were found between athletes’ eating pathology and their compulsive exercise behaviors, suggesting that greater eating disorder symptoms were associated with greater excessive exercise engagement. In contrast to athletes with no symptoms of an eating disorder, athletes with symptoms of an eating disorder reported using exercise as a weight control measure. Higher levels of body image dissatisfaction were also associated with greater eating pathology. This study addressed a number of methodological shortcomings across the body of eating disorder research (e.g., studies with insufficient sample sizes, lack of group comparisons by age and level of athletic participation, and suboptimal psychometric measures) and underscored the need for a new generation of studies. The study also explored the frequency of compulsive exercise, a compensatory behavior which is highly prevalent, but often overlooked among athletes. The study findings may aid coaches, athletic administration, and mental health professionals in identifying at-risk athletes. The study findings also inform the development of prevention and treatment efforts. / Kinesiology

Research suggests that female athletes, in particular, experience “sport-environment” pressures such as: weight, performance, and body image demands from their coaches, teammates, and judges. These influences in tandem with society’s portrayal of the thin ideal are thought to considerably increase the risk of developing disordered eating problems in this population. Although numerous studies have been conducted over the past decade on the prevalence of eating disorders and pathogenic weight control behaviors among female athletes, few have examined in detail the weight pressures that exist within the sport environment, such as whether or not (and how often) athletes are weighed by their coaches, and how athletes respond to those pressures in terms of weight management practices. In the proposed study, we will examine the weigh-in environment, weight satisfaction, weight management practices, menstrual health, and reported source of nutritional guidance. The sample includes 414 NCAA Division I female collegiate swimmers/divers and gymnasts drawn from 26 universities across the U.S. Participants anonymously completed a series of questionnaires as part of a larger study on student-athlete health and well-being. This study found that 41% of athletes were weighed, and most often by an athletic trainer in private. Despite most weigh-ins were reportedly conducted in a positive manner, the majority of the athletes who were weighed (75%) reported using at least one strategy to manage their weight prior to weigh-ins (e.g. restrict food, increase exercise). Athletes desire to lose weight, caloric intake, and menstrual cycles were not related to whether athletes were or were not weighed. The majority of athletes received qualified nutritional guidance about how to healthfully manage their weight. Overall, weighing is occurring in a more positive manner than expected; however, athletes are continuing to report using unhealthy weight management strategies at a high rate. It seems important for athletic departments to set policies regarding weighing and to continue to provide support and education to coaching and support staff regarding eating disorder identification, referral, and treatment.

Athletes appear healthy according to weight for height and body fat standards. Though athletes appear to be healthy, little is known about their diets. Research states there is a connection between athletic performance and nutrition. The objective of this study was to determine the diet quality of 138 collegiate athletes. Data were collected in a laboratory. Demographics were collected via survey. Anthropometrics were assessed using a free standing stadiometer and the BodPod® for body fat assessment. Block 2005 Food Frequency Questionnaire© was used to assess diets. The Healthy Eating Index (HEI) 2005 was used to calculate diet quality scores. The average BMI was 23.2 (2.3) kg/m2 and the average body fat was17.8 % (6.5). The average HEI score was 51.2 (8.8). Higher HEI scores were correlated with higher body fat percentage in this sample. Diets were adequate in: calcium, iron, and vitamin C. Diets were inadequate in: fiber, fruits and vegetables intakes. The athletes had excessive intakes of sodium and total percent fats. These findings demonstrate the need for nutrition education for collegiate athletes.

There is growing concern for eating pathology and body dissatisfaction in sports; particularly, in sports that emphasize a lean body type. In 325 female collegiate swimmers/divers and gymnasts, we examined psychosocial well-being (i.e., perception of weight pressures, levels of internalization, body satisfaction, dietary intent, negative affect) at the beginning and end of an athletic season and predict their eating disorder classification at the end of their athletic season. Logistic regressions revealed that a model containing all 14 predictors at the beginning and end of an athletic season significantly predicted eating disorder classification at the end of an athletic season. Specifically, in the longitudinal logistic regression, with every one unit of increase on a measure of the pressure felt within the sport environment regarding their weight and every unit increase on a measure of their intentions to diet, respectively, the female athletes were 49% and 89% more likely to be classified in the subclinical/clinical group at the end of their sport season. Surprisingly, with every one unit of increase on a measure of sociocultural pressure to exercise, female athletes were 43% less likely to be classified in the subclinical/clinical group six months later. The cross-sectional logistic regression found that only dietary restraint was significant. Specifically, with every one unit of increase on a measure of their intentions to diet the female athletes were 3.6 times more likely to be classified in the subclinical/clinical group at the end of their sport season. The implications of this study may emphasize the importance of body healthy sport systems to reduce sport specific pressures and dieting among female collegiate athletes. Limitations of this study include self-report measures and longitudinal timeframe was only across one athletic season.

Petrie and Greenleaf's sociocultural model proposes that athletes experience unique sport environment pressures regarding weight, body size/shape, eating and appearance that increases their risk of developing disordered eating (DE) attitudes and behaviors. Although research in cross-correlational studies has looked at prevalence of eating disorders (ED) and DE behaviors in different sport types, such pressures are likely to vary by sport depending on its unique environment and performance demands. For instance, female athletes in leanness sports experience more body dissatisfaction and societal appearance pressures compared to those in nonleanness sports. Because these effects have been established primarily with female athletes, I examined ED/DE correlates from Petrie and Greenleaf's model with 695 collegiate male athletes who represented five sport types (endurance, ball game, power, technical, weight-dependent) based on a well-established categorization system. Through a series of one-way MANCOVAs (BMI serving as the covariate), I found that sport types were significantly different from each other on all ED/DE correlates except for negative affect. Follow-up analysis revealed that power, endurance, and weight-dependent athletes showed the greatest number of significantly different group centroids, demonstrating distinct profiles among the sport types in their experiences of the ED/DE correlates. Discussion focuses on possible explanations for the research findings, future directions, and clinical implications.

No description available.

Female collegiate athletes have been established as a high-risk group for the development of eating disorders due to the high prevalence rates of clinical and subclinical eating disorders, which have ranged from 1.9% to 16.6% and 4.0% to 26.1%, respectively. Collegiate athletes appear to meet criteria for ED-NOS more often than anorexia or bulimia nervosa, and frequently engage in pathogenic weight control behaviors (e.g., dieting, excessive exercise). To date, only a few studies have examined the long-term stability of eating disorders in collegiate female athletes. The current study investigated the prevalence of eating disorders (i.e., eating disordered, symptomatic, and asymptomatic) and pathogenic weight control behaviors (e.g, binging, vomiting, laxative use) in 325 NCAA-DI female collegiate gymnasts and swimmers/divers across two time points – the beginning of their competitive seasons (Time 1) and during the final two weeks of their competitive seasons (Time 2). By Time 2, 90% of the athletes classified as eating disordered at Time 1 (n = 20) maintained clinical or subclinical eating disturbances. Of the 83 athletes originally symptomatic, 37.3% remained so and 10.8% became eating disordered. Significantly more athletes became satisfied with their bodies over the course of the season than became dissatisfied. The athletes reported using exercise and dieting/fasting as the most frequent forms of weight control behaviors, each of which were used less frequently at Time 2 than at Time 1. The results support overall stability of eating disorder behaviors and classification over the course of a competitive season. Limitations and implications are discussed.

No description available.

The purpose of this study was to determine if motivational profiles of individual collegiate team sport athletes differ across ability levels (High, Middle, and Low) and settings (Team Practice, Competition, and Personal Practice). The athletes task and ego disposition, autonomy, and contextual motivation, were assessed using the Perception of Success Questionnaire (POSQ), Sport Climate Questionnaire (SCQ), and Sport Motivational Scale (SMS), pre and postseason. Their anxiety levels and situational motivation were measured using the Sport Anxiety Scale (SAS) and the Situational Motivational Scale (SIMS) during the season. The General Causality Orientations Scale (GCOS) was used pre and postseason to assess the strength of different motivational orientations in the coaches and the strength of association to the athletes' various motivational, anxiety and dispositional profiles. Results revealed that the athletes are functioning with high task and ego orientations almost equally across settings. They were also relatively high overall in perceived autonomy support. Anxiety and worry existed in all three settings, but in only low to moderate amounts. In addition, athletes reported higher levels of concentration disruption in competition settings over team or personal practice. Finally, individual athletes experienced significantly higher levels of self-determination behavior in both the competition and personal practice settings over team practice. No significant differences were found between the pre and postseason surveys for either the athletes or the coaches, or in the ability levels (H, M, and L) of the athletes.