Evidence map›Paper›PMID 38116873›Full record

ArticleJournal of athletic training2025

Risk of Low Energy Availability, Disordered Eating, and Menstrual Dysfunction in Female Collegiate Runners.

Leah Dambacher, Kelly Pritchett, Robert Pritchett, Abigail Larson

Abstract read
In one paragraph

Article in Journal of athletic training, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Leah DambacherDepartment of Health Sciences, Central Washington University, Ellensburg.
Kelly PritchettDepartment of Health Sciences, Central Washington University, Ellensburg.
Robert PritchettDepartment of Health Sciences, Central Washington University, Ellensburg.
Abigail LarsonDepartment of Kinesiology and Outdoor Recreation, Southern Utah University, Cedar City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCollegiate female distance runners may be at risk for low energy availability (LEA) due to increased exercise energy expenditure with or without decreased energy intake. Furthermore, this population has an increased risk of disordered eating (DE), which can lead to LEA and negative health consequences, such as menstrual dysfunction (MD).

objectiveTo (1) investigate risk of LEA, DE, and MD; (2) compare DE, training volume, and weight dissatisfaction between female collegiate runners at risk and those not at risk for LEA; and (3) compare the risk for LEA between National Collegiate Athletic Association Division I, II, and III female collegiate runners.

designCross-sectional study.

settingFree-living conditions. PATIENTS OR OTHER

participantsA total of 287 female runners who competed on a National Collegiate Athletic Association Division I, II, or III cross-country team, track team, or both. MAIN OUTCOME MEASURE(S): Participants completed a 45-item questionnaire that included the Low Energy Availability in Females Questionnaire (LEAF-Q) and the Disordered Eating Screen for Athletes (DESA-6).

resultsWe observed that 54.4% (n = 156) of runners were at risk for LEA (LEAF-Q score ≥ 8), 40.8% (n = 117) were at risk for DE (DESA-6 score ≥ 3), and 56.5% (n = 162) reported MD (LEAF-Q menstrual function subsection score ≥ 4). Athletes at risk for LEA had higher DESA-6 scores than athletes not at risk for LEA (P < .001). Athletes at risk for LEA had greater weight dissatisfaction than those not at risk for LEA ( = 15.92, P = .001). Higher weekly training volume was not associated with risk for LEA ( = 4.20, P = .11).

conclusionsA substantial percentage of collegiate female runners were found to be at risk for LEA and DE and to report MD. These findings demonstrate that the risks for DE, MD, and weight dissatisfaction are associated with risk for LEA.

Indexed as

Energy IntakeEnergy MetabolismFeeding and Eating DisordersMenstruation DisturbancesRunningAdultAthletesBody DissatisfactionCross-Sectional StudiesFemaleHumansRisk FactorsSurveys and QuestionnairesUniversitiesYoung Adulteating disorderfemale runner nutritionrelative energy deficiency in sport (RED-S)weight dissatisfaction

Identifiers

PMID38116873
PMCPMC11866788

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.