The Eating Disorder Examination Questionnaire (EDE-Q) is a gold standard questionnaire to identify eating disorder symptoms but has not yet been validated in Danish. The scale consists of four theoretical constructs of disordered eating: Restraint eating, Eating concerns, Shape concerns and Weight concerns. However, the four-factor structure has been difficult to replicate across cultures. This study aimed to examine the factor structure and psychometric properties of the EDE-Q in Danish. The study consisted of four samples (aged 15–70): Patients with anorexia, bulimia and unspecified eating disorders (n = 101), patients with symptoms of binge-eating disorder (n = 300), recreational athletes (n = 404), and elite athletes (n = 526). Depending on the analysis performed, participants had to complete the EDE-Q, the SCOFF questionnaire for eating disorders or the Binge Eating Disorders Questionnaire. In accordance with international research, we found no evidence for a four-factor structure in the EDE-Q among patients or among athletes. But our results showed significant, positive associations between EDE-Q and SCOFF, BED-Q and MDI in all samples. We conclude that the internal structure of EDE-Q is low, while construct validity is high, making EDE-Q useful as an instrument to identify individuals with eating disorder symptoms, including recreational, and elite athletes.
Eating disorders are more prevalent in athletes than in the general population and may have severe consequences for sports performance and health. Identifying symptoms can be difficult in athletes because restrictive eating and slim body images are often idealised in a sports setting. The Eating Disorders Examination Questionnaire (EDE-Q) and the SCOFF (Sick, Control, One stone, Fat and Food) questionnaire (SCOFF) are widely used generic instruments to identify symptoms of eating disorders. This study aimed to investigate the instruments’ validity and explore eating disorder symptoms in a sample of athletes.A sample of 28 athletes (25 females) competing at a national level was interviewed based on the diagnostic criteria for eating disorders. We interviewed 18 athletes with a high score on EDE-Q and 10 with a low score. All interviews were transcribed and analysed from a general inductive approach. We identified 20 athletes with an eating disorder diagnosis, while 8 had no diagnosis. EDE-Q found 90% of the cases, while SCOFF found 94%. EDE-Q found no false-positive cases, while SCOFF found one.The qualitative results showed that most athletes reported eating concerns, restrictive eating, eating control (counting calories), weight concerns, body dissatisfaction (feeling fat and non-athletic), excessive exercise and health problems (eg, pain, fatigue).In conclusion, EDE-Q and SCOFF seem valid instruments to screen athletes’ samples but may fail to find 6%–10% cases with eating disorders. Despite athletic bodies and normal body mass index, many athletes report severe eating problems and dissatisfaction with weight and body appearance. Implementation of regular screening may identify these symptoms at an early stage.
Exercise addiction describes a pattern of excessive and obsessive exercise and is associated with hypoleptinemia and low testosterone that may have adverse skeletal effects. We used a validated questionnaire to identify males with high and low risk of exercise addiction. In a cross-sectional design, males (aged 21–49 years) with high (n = 20, exercise addictive) and low risk (n = 20, exercise controls) of exercise addiction had examinations of bone mass, bone microarchitecture, and estimated bone strength performed using dual-energy x-ray absorptiometry of the hip and spine and high-resolution peripheral quantitative computed tomography of the distal radius and tibia. Findings were compared between the groups and to a population-based sample of healthy men aged 20–80 years (n = 236). We found similar hip and spine bone mineral density in exercise addictive and controls. Cortical and trabecular bone microarchitecture and estimated bone strength in radius and tibia did not differ significantly between the groups. Multiple regression analyses adjusting for age, body weight, free testosterone, and hours of weekly training did not alter findings. Also, bone indices from both groups were within 95% prediction bands derived from the population-based sample for the vast majority of indices. Neither group had no associations between circulating leptin or free testosterone and bone outcomes. In conclusion, in a study on younger males, we found no associations between high risk of exercise addiction and various indices of bone mass and bone quality indicative of altered skeletal health.
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