The Association of Low Energy Availability Knowledge and Risk in Female Track and Field Athletes

BACKGROUND: Under fueling is associated with a number of negative health and performance consequences, and strategies are needed to improve outcomes. Few studies have explored the associations among LEA knowledge and risk of low energy availability (LEA) conditions (i.e., Relative Energy Deficiency in Sport (REDs), eating disorder/disordered eating (ED/DE)). The purpose of this study was to examine associations between LEA knowledge and LEA and ED/DE risk. METHODS: Female track and field athletes (n = 368) completed an anonymous online survey consisting of demographic information, Low Energy Availability in Females Questionnaire (LEAF-Q), Female Athlete Screening Tool (FAST), Eating Disorder Examination Questionnaire (EDE-Q)], and LEA knowledge (LEA-KQ). A one-way ANOVA examined differences between LEA-KQ scores and low- vs. high-risk groups for LEA, DE, and ED. Pearson’s partial correlations, controlled for bone stress injury (BSI) and peak training mileage, were used to assess associations between LEA-KQ and LEAF-Q, FAST, and EDE-Q scores. RESULTS: Of the total sample (n = 368; age 29 ± 8 years), 49% were at high risk for LEA based on the LEAF-Q, 35% were at subclinical DE risk and 13% were at clinical ED risk based on the FAST. Scores on the EDE-Q demonstrated 22% of the sample were at high risk for ED. There was a significant difference in mean LEA-KQ scores in athletes at risk for DE based on the FAST [F (2, 365) = 4.078, p = 0.018, η = 0.022]. There were no significant associations between LEA-KQ and LEAF-Q, FAST, and EDE-Q (p = 0.534, p = 0.051, and p = 0.934, respectively) while controlling for BSI and peak weekly mileage. CONCLUSION: There was no significant association between LEA knowledge and risk. This warrants further exploration, as it is important to understand the direction of the relationship to employ effective education-based programs to prevent the negative health and performance consequences associated with under fueling.

Authors

Institutions

Publication Details

Journal
Journal of Women s Sports Medicine
Published
2025-09-03
DOI
https://doi.org/10.53646/e3r1jh65
Primary Topic
Cardiovascular Effects of Exercise
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Association of Low Energy Availability Knowledge and Risk in Female Track and Field Athletes

Nicole E. Logan, Melissa T. Lodge, Stephen Cirella, Christie L. Ward‐Ritacco et al.
Journal of Women s Sports Medicine
Cardiovascular Effects of Exercise
article

The Association of Low Energy Availability Knowledge and Risk in Female Track and Field Athletes

Nicole E. Logan, Melissa T. Lodge, Stephen Cirella, Christie L. Ward‐Ritacco, Mark E. Hartman
article en

Abstract

BACKGROUND: Under fueling is associated with a number of negative health and performance consequences, and strategies are needed to improve outcomes. Few studies have explored the associations among LEA knowledge and risk of low energy availability (LEA) conditions (i.e., Relative Energy Deficiency in Sport (REDs), eating disorder/disordered eating (ED/DE)). The purpose of this study was to examine associations between LEA knowledge and LEA and ED/DE risk. METHODS: Female track and field athletes (n = 368) completed an anonymous online survey consisting of demographic information, Low Energy Availability in Females Questionnaire (LEAF-Q), Female Athlete Screening Tool (FAST), Eating Disorder Examination Questionnaire (EDE-Q)], and LEA knowledge (LEA-KQ). A one-way ANOVA examined differences between LEA-KQ scores and low- vs. high-risk groups for LEA, DE, and ED. Pearson’s partial correlations, controlled for bone stress injury (BSI) and peak training mileage, were used to assess associations between LEA-KQ and LEAF-Q, FAST, and EDE-Q scores. RESULTS: Of the total sample (n = 368; age 29 ± 8 years), 49% were at high risk for LEA based on the LEAF-Q, 35% were at subclinical DE risk and 13% were at clinical ED risk based on the FAST. Scores on the EDE-Q demonstrated 22% of the sample were at high risk for ED. There was a significant difference in mean LEA-KQ scores in athletes at risk for DE based on the FAST [F (2, 365) = 4.078, p = 0.018, η = 0.022]. There were no significant associations between LEA-KQ and LEAF-Q, FAST, and EDE-Q (p = 0.534, p = 0.051, and p = 0.934, respectively) while controlling for BSI and peak weekly mileage. CONCLUSION: There was no significant association between LEA knowledge and risk. This warrants further exploration, as it is important to understand the direction of the relationship to employ effective education-based programs to prevent the negative health and performance consequences associated with under fueling.

Journal of Women s Sports MedicineVol. 5(2)
University of Rhode Island (US), University of Minnesota, Duluth (US)
Openalex Percentile: Top 62%
Cardiovascular Effects of Exercise
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.