Abstract:The purpose of this study was to identify factors related to the onset of eating disorders in female athletes. Participants were 17 collegiate female athletes (mean age of 20.7) who experienced eating disorders. Participants were interviewed individually and responses were coded thematically. Results revealed internal and external factors related to the onset of eating disorders.
“…Especially in weight-sensitive sports, weight loss of one athlete may influence the dieting behaviour of the others. In the desire to be “better than her/him”, athletes can be influenced by the thought that “If she/he is losing more weight, then I need to lose some too!” or the perception that they are “bigger” than their teammates [ 55 ]. Furthermore, teammates can share more drastic methods to lose weight [ 56 ].…”
Section: Reason For Lea and Prevalence In Different Sports Across Sexmentioning
Low energy availability (LEA) represents a state in which the body does not have enough energy left to support all physiological functions needed to maintain optimal health. When compared to the normal population, athletes are particularly at risk to experience LEA and the reasons for this are manifold. LEA may result from altered dietary behaviours that are caused by body dissatisfaction, the belief that a lower body weight will result in greater performance, or social pressure to look a certain way. Pressure can also be experienced from the coach, teammates, and in this day and age through social media platforms. While LEA has been extensively described in females and female athletes have started fighting against the pressure to be thin using their social media platforms, evidence shows that male athletes are at risk as well. Besides those obvious reasons for LEA, athletes engaging in sports with high energy expenditure (e.g. rowing or cycling) can unintentionally experience LEA; particularly, when the athletes’ caloric intake is not matched with exercise intensity. Whether unintentional or not, LEA may have detrimental consequences on health and performance, because both short-term and long-term LEA induces a variety of maladaptations such as endocrine alterations, suppression of the reproductive axis, mental disorders, thyroid suppression, and altered metabolic responses. Therefore, the aim of this review is to increase the understanding of LEA, including the role of an athlete’s social environment and the performance effects related to LEA.
“…Especially in weight-sensitive sports, weight loss of one athlete may influence the dieting behaviour of the others. In the desire to be “better than her/him”, athletes can be influenced by the thought that “If she/he is losing more weight, then I need to lose some too!” or the perception that they are “bigger” than their teammates [ 55 ]. Furthermore, teammates can share more drastic methods to lose weight [ 56 ].…”
Section: Reason For Lea and Prevalence In Different Sports Across Sexmentioning
Low energy availability (LEA) represents a state in which the body does not have enough energy left to support all physiological functions needed to maintain optimal health. When compared to the normal population, athletes are particularly at risk to experience LEA and the reasons for this are manifold. LEA may result from altered dietary behaviours that are caused by body dissatisfaction, the belief that a lower body weight will result in greater performance, or social pressure to look a certain way. Pressure can also be experienced from the coach, teammates, and in this day and age through social media platforms. While LEA has been extensively described in females and female athletes have started fighting against the pressure to be thin using their social media platforms, evidence shows that male athletes are at risk as well. Besides those obvious reasons for LEA, athletes engaging in sports with high energy expenditure (e.g. rowing or cycling) can unintentionally experience LEA; particularly, when the athletes’ caloric intake is not matched with exercise intensity. Whether unintentional or not, LEA may have detrimental consequences on health and performance, because both short-term and long-term LEA induces a variety of maladaptations such as endocrine alterations, suppression of the reproductive axis, mental disorders, thyroid suppression, and altered metabolic responses. Therefore, the aim of this review is to increase the understanding of LEA, including the role of an athlete’s social environment and the performance effects related to LEA.
“…Modelled behaviours are those adopted behaviours that have been reinforced as the norm in a group and those modelled behaviours pertaining to eating psychopathology have been shown to increase disordered eating symptomology [53,54]. The mediator that is termed modelled behaviour by peers and family is one that much of the literature has overlooked, and research has yet to operationalise or validate a measurement tool for this potential risk factor.…”
Section: Modelled Behavioursmentioning
confidence: 99%
“…Reliability analysis for the current study found the alpha to be .61. In the current study, questions were designed based on the qualitative results that had previously discussed the harmful role that modelled behaviours of teammates can have in the development of eating disorders [54].…”
Objectives This project examined risk factors of disordered eating in athletes by adapting and applying a theoretical model. It tested a previously proposed theoretical model and explored the utility of a newly formed model within an athletic population across gender, age, and sport type to explain disordered eating. Design The design was cross-sectional and the first phase in a series of longitudinal studies. Methods 1,017 athletes completed online questionnaires related to social pressures, internalisation, body dissatisfaction, negative affect, restriction, and bulimia. Structural equation modelling was employed to analyse the fit of the measurement and structural models and to do invariance testing. Results The original theoretical model failed to achieve acceptable goodness of fit (χ 2 [70, 1017] = 1043.07; p < .0001. CFI = .55; GFI = .88; NFI = .53; RMSEA = .12 [90% CI = .111-.123]). Removal of non-significant pathways and addition of social media resulted in the model achieving a parsimonious goodness of fit (χ 2 [19, 1017] = 77.58; p < .0001. CFI = .96; GFI = .98; NFI = .95; RMSEA = .055 [90% CI = .043-.068]). Invariance tests revealed that the newly revised model differed across gender, age, level, competition status, and length of sport participation. Conclusion This study showed that the formation of disordered eating symptomology might not be associated with sport pressures experienced by athletes. It revealed that disordered eating
“…Coaches therefore often appear to be ill-informed about the subject matter without being aware of it. 20 They need further training about eating disorders and athlete education so knowledge can be passed on in an open and supportive environment. Encouraging an open dialogue may allow a stronger bond to form between coaches and their athletes that might facilitate earlier interventions for maladaptive behaviors.…”
Section: How Do Female Collegiate Athletes View Their Education Aboutmentioning
Extant research indicates that collegiate coaches often lack the knowledge or confidence required to provide their student–athletes with effective educational experiences related to eating disorders. The current study investigates the prevalence and quality of such experiences from the perspective of lean and non-lean female student–athletes at a National Collegiate Athletic Association Division III institution. Participants were asked closed- and open-ended questions in an anonymous online survey. Lean and non-lean participants reported similar rates of education despite differential risk for eating disorders. Approximately 70% of student–athletes expressed a desire for a more comprehensive and long-term program of study. Participants’ confidence in identifying an eating disorder in a peer did not differ based on type of sport or education status, but those who were educated identified more appropriate potential symptoms than did those who were uneducated. This indicates some degree of educational effectiveness. However, education status and type of sport had no bearing on the likelihood of a participant speaking with their coach about their own or a peer’s potential disorder. Educational attempts were therefore insufficient to help student–athletes overcome the shame and consequential secrecy associated with eating disorders. Our results underscore the need for effective education for at-risk student–athletes while also clarifying that both lean and non-lean student–athletes often want to receive more comprehensive education about eating disorders. Current findings highlight specific areas of student–athlete interest about the topic and could be used to help coaches revise their educational efforts to enhance engagement and long-term retention of information.
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