Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 274

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Prevalence of the Female Athlete Triad Syndrome Among High School Athletes

Nichols, Jeanne F., Rauh, Mitchell J., Lawson, Mandra J., Ji, Ming, Barkai, Hava-Shoshana·2006·Archives of Pediatrics & Adolescent Medicine

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/archpedi.160.2.137

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 274

Metadata

Authors
Nichols, J. F., Rauh, M. J., Lawson, M. J., Ji, M., & Barkai, H.-S.
Venue
Archives of Pediatrics & Adolescent Medicine
Published
2006-02-01
Volume
160
Issue
2
Pages
137
ISSN
1072-4710 (ISSN-L)
OpenAlex
W2166150593
Cited by
274
References
6
FWCI
15.76
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.