Dual-energy X-ray absorptiometry per cent fat Z-score as a predictor of menstrual status in adolescent and young adult female athletes

OBJECTIVE: Weight/fat mass gain to support resumption of normal menses can be an important treatment goal for female athletes with amenorrhoea (AMEN) or oligomenorrhoea (OLIGO) related to relative energy deficiency in sport (REDs). However, targets based on body mass index (BMI) or per cent expected body weight (%EBW) may be less applicable in athletes, who typically have greater lean mass compared with the general population. Our aim was to determine if dual-energy X-ray absorptiometry (DXA)-derived %fat Z-score can detect menstrual status in female athletes and if a %fat Z-score cut-off of 20 years) or %EBW (in those ≤20 years) thresholds. METHODS: 388 female athletes (age 15-30 years, Tier ≥2) with DXA scans were classified as AMEN (n=159), OLIGO (n=84) or naturally menstruating (NM, n=145) using clinical records. We compared %fat Z-score and BMI or %EBW values across menstrual groups and calculated sensitivity and specificity for predicting AMEN and the combined OLIGO and AMEN groups (OLIGO/AMEN) using traditional BMI or %EBW risk cut-offs versus a risk cut-off of