Archives of Pediatrics and Adolescent Medicine · 2006 · 270 citations · 39 references
MedicineEndocrinologySports MedicineBone MetabolismEating DisordersFemale Athlete HealthBone DisordersBone HealthBone Health In AdolescenceBone Metabolism DisordersDisordered EatingFemale Athlete TriadAthlete Bone MetabolismBone Mass AcquisitionDisordered Eating AssessmentEating Disorders In AthletesLow Bone MassMenstrual Cycle IrregularityMenstrual Disturbances In AthletesOutcome Measures
OBJECTIVE: To estimate the prevalence of the female athlete triad (disordered eating, menstrual irregularity, and low bone mass) among high school athletes. DESIGN: Observational cross-sectional study. SETTING: High school. PARTICIPANTS: Female athletes (n= 170) representing 8 sports were recruited from 6 high schools in southern California. MAIN OUTCOME MEASURES: Disordered eating and menstrual status were determined by interviewer-assisted questionnaires. Bone mineral density was measured by dual-energy x-ray absorptiometry of the hip, spine (L1-L4), and total body. RESULTS: Among all athletes, 18.2%, 23.5%, and 21.8% met the criteria for disordered eating, menstrual irregularity, and low bone mass, respectively. Ten girls (5.9%) met criteria for 2 components of the triad, and 2 girls (1.2%) met criteria for all 3 components. Oligomenorrheic/amenorrheic athletes had higher mean +/- SD eating restraint (1.55 +/- 1.60 vs 1.04 +/- 1.27; P = .02) and Eating Disorder Examination Questionnaire global scores (1.68 +/- 1.20 vs 1.33 +/- 1.14; P = .03) than eumenorrheic athletes. After controlling for age, age at menarche, body mass index, race/ethnicity, and sport type, athletes with oligomenorrhea/amenorrhea had significantly lower mean +/- SD bone mineral densities for the trochanter (0.884 +/- 0.090 g . cm(-2)) than eumenorrheic athletes (0.933 +/- 0.130 g . cm(-2); P = .04). CONCLUSIONS: The prevalence of the full female athlete triad was low in our sample; however, a substantial percentage of the athletes may be at risk for long-term health consequences associated with disordered eating, menstrual irregularity, or low bone mass. Preparticipation screening to identify these components should be encouraged as a preventive approach to identify high-risk athletes.
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