Self-Reported Restrictive Eating, Eating Disorders, Menstrual Dysfunction, and Injuries in Athletes Competing at Different Levels and Sports

Nutrients. 2021 Sep 19;13(9):3275. doi: 10.3390/nu13093275.

Abstract

The purpose of this study was to investigate the prevalence of self-reported restrictive eating, current or past eating disorder, and menstrual dysfunction and their relationships with injuries. Furthermore, we aimed to compare these prevalences and associations between younger (aged 15-24) and older (aged 25-45) athletes, between elite and non-elite athletes, and between athletes competing in lean and non-lean sports. Data were collected using a web-based questionnaire. Participants were 846 female athletes representing 67 different sports. Results showed that 25%, 18%, and 32% of the athletes reported restrictive eating, eating disorders, and menstrual dysfunction, respectively. Higher rates of lean sport athletes compared with non-lean sport athletes reported these symptoms, while no differences were found between elite and non-elite athletes. Younger athletes reported higher rates of menstrual dysfunction and lower lifetime prevalence of eating disorders. Both restrictive eating (OR 1.41, 95% CI 1.02-1.94) and eating disorders (OR 1.89, 95% CI 1.31-2.73) were associated with injuries, while menstrual dysfunction was associated with more missed participation days compared with a regular menstrual cycle (OR 1.79, 95% CI 1.05-3.07). Our findings indicate that eating disorder symptoms and menstrual dysfunction are common problems in athletes that should be managed properly as they are linked to injuries and missed training/competition days.

Keywords: disordered eating; eating disorder; female athlete; menstrual irregularity; sports injury.

MeSH terms

  • Adolescent
  • Adult
  • Amenorrhea / epidemiology
  • Athletes / statistics & numerical data
  • Athletic Injuries / epidemiology*
  • Cross-Sectional Studies
  • Feeding Behavior*
  • Feeding and Eating Disorders / epidemiology*
  • Female
  • Humans
  • Menstrual Cycle
  • Menstruation Disturbances / epidemiology*
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Self Report
  • Sports / statistics & numerical data*
  • Surveys and Questionnaires
  • Young Adult