Evidence map›Paper›PMID 41813023›Full record

ArticleBritish journal of sports medicine2026

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

Meghan Keating, Grace H Saville, Lauren McCall, Kristin L Sainani, Kathryn E Ackerman

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Article in British journal of sports medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Meghan KeatingDivision of Sports Medicine, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0009-0004-9454-454X
Grace H SavilleWu Tsai Female Athlete Program, Women's Health, Sports & Performance Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0009-0187-3843
Lauren McCallBoston Medical Center, Boston, MA, USA.
Kristin L SainaniStanford University, Palo Alto, California, USA.ORCID http://orcid.org/0000-0003-0614-303X
Kathryn E AckermanWu Tsai Female Athlete Program, Women's Health, Sports & Performance Institute, Boston, MA, USA kackerman@whspinstitute.org.ORCID http://orcid.org/0000-0003-2626-7785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWeight/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 <-1.0 is a better indicator than standard BMI (in those >20 years) or %EBW (in those ≤20 years) thresholds.

methods388 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 <-1.0 for %fat Z-score.

results%fat Z-score was superior to traditional BMI or %EBW thresholds in discriminating between menstrual status groups. Using a %fat Z-score cut-off <-1.0 improved sensitivity (p<0.0001) for predicting AMEN (68.9%) and OLIGO/AMEN (57.7%) compared with the sensitivity of traditional BMI or %EBW cut-offs for AMEN (29.3%) and OLIGO/AMEN (25.9%). However, %fat Z-score <-1.0 did not improve specificity for predicting AMEN (75.4%) nor OLIGO/AMEN (79.9%) compared with the specificity of traditional BMI or %EBW cut-offs for AMEN (83.9%; p=0.0078) and OLIGO/AMEN (85.2%; p=0.14).

conclusionsWhen attempting to resume normal menstruation, achieving a %fat Z-score ≥-1.0, rather than using BMI or %EBW targets, may be a better goal for athletes with REDs-related amenorrhoea or oligomenorrhoea.

Indexed as

Absorptiometry, PhotonAmenorrheaMenstruationOligomenorrheaAdolescentAdultAthletesBody Mass IndexFemaleHumansRelative Energy Deficiency in SportYoung AdultFemaleMenstruationRelative Energy DeficiencyRelative Energy Deficiency in SportSports medicine

Identifiers

PMID41813023
PMCPMC13018747

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