Examination Of Energy Availability, Eating Disorders And Carbohydrate Availability Among College-age Runners

Studies examining both low energy availability (EA) with or without an eating disorder (ED) and low carbohydrate (CHO) availability are sparse. Insufficient dietary intake, like CHO sources, may lead to impaired energy which impedes optimal performance and health. Despite known CHO needs during training and recovery, concern remains that athletes may not be meeting the recommendations. PURPOSE: To examine EA with or without an ED risk and EA with or without a low CHO availability across sex for endurance-trained runners. METHODS: A cross-sectional study examined collegiate endurance-trained runners (n=17; age: 19.4±1.1 years; females: n=11, height: 162.2±5.8 cm, weight: 58.0±7.9 kg; and males: n=7; height: 180.4±6.6 cm, weight: 68.1±5.5 kg). Anthropometric measurements (height, mass, body composition), resting metabolic rate, energy intake, total daily energy expenditure, exercise energy expenditure, Eating Disorder Inventory-3 (EDI-3), and EDI-3 Symptom Checklist (EDI-3 SC) were assessed. Chi-squares and cross tabulations analysis were used to examine differences in sex for EA, ED risk, and LEA both with or without ED risk and with or without low CHO availability. Frequencies, means, and standard deviations were calculated for basic demographics and dependent variables. RESULTS: Overall, LEA was 58.8% (n=10/17) with ED risk of 52.9% (n=9/17). Low CHO availability was 94.1% (n=16/17) with no significant differences across sex (χ21,17 = .744, p = .388). For runners with LEA, 50% (n=5/10) were at risk for ED, and no significant differences across sex (χ21,17 = .084, p = .772). All runners with LEA were low in CHO availability (100%, n=10/10). No significant differences across sex and LEA and low CHO (χ21,17 = 1.518, p = .218). The average macronutrient distribution for all runners was as follows: protein 1.37 ± .592 (g/kg/day), CHO 4.02 ± 1.29 (g/kg/day), fats 31.52 ± 8.46 (%), and saturated fat 9.82 ± 2.73(%). CONCLUSION: Over half of the endurance-trained runners presented with LEA, with nearly a third of participants displaying signs of LEA with an ED. It’s important that patients suffering from both factors receive healthcare involving a multidisciplinary team (physician, AT, dietitian, psychiatrist, etc.), education on the medical consequences involved with LEA, and quality nutritional education.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001057956.02010.fe
Primary Topic
Muscle metabolism and nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examination Of Energy Availability, Eating Disorders And Carbohydrate Availability Among College-age Runners

Toni M. Torres-McGehee, Nancy A. Uriegas, Kenya Moore, Kelly Pritchett et al.
Medicine & Science in Sports & Exercise
Muscle metabolism and nutrition
article

Examination Of Energy Availability, Eating Disorders And Carbohydrate Availability Among College-age Runners

Toni M. Torres-McGehee, Nancy A. Uriegas, Kenya Moore, Kelly Pritchett, Erin Moore, Kylie Pham, Marc Lara
article en

Abstract

Studies examining both low energy availability (EA) with or without an eating disorder (ED) and low carbohydrate (CHO) availability are sparse. Insufficient dietary intake, like CHO sources, may lead to impaired energy which impedes optimal performance and health. Despite known CHO needs during training and recovery, concern remains that athletes may not be meeting the recommendations. PURPOSE: To examine EA with or without an ED risk and EA with or without a low CHO availability across sex for endurance-trained runners. METHODS: A cross-sectional study examined collegiate endurance-trained runners (n=17; age: 19.4±1.1 years; females: n=11, height: 162.2±5.8 cm, weight: 58.0±7.9 kg; and males: n=7; height: 180.4±6.6 cm, weight: 68.1±5.5 kg). Anthropometric measurements (height, mass, body composition), resting metabolic rate, energy intake, total daily energy expenditure, exercise energy expenditure, Eating Disorder Inventory-3 (EDI-3), and EDI-3 Symptom Checklist (EDI-3 SC) were assessed. Chi-squares and cross tabulations analysis were used to examine differences in sex for EA, ED risk, and LEA both with or without ED risk and with or without low CHO availability. Frequencies, means, and standard deviations were calculated for basic demographics and dependent variables. RESULTS: Overall, LEA was 58.8% (n=10/17) with ED risk of 52.9% (n=9/17). Low CHO availability was 94.1% (n=16/17) with no significant differences across sex (χ21,17 = .744, p = .388). For runners with LEA, 50% (n=5/10) were at risk for ED, and no significant differences across sex (χ21,17 = .084, p = .772). All runners with LEA were low in CHO availability (100%, n=10/10). No significant differences across sex and LEA and low CHO (χ21,17 = 1.518, p = .218). The average macronutrient distribution for all runners was as follows: protein 1.37 ± .592 (g/kg/day), CHO 4.02 ± 1.29 (g/kg/day), fats 31.52 ± 8.46 (%), and saturated fat 9.82 ± 2.73(%). CONCLUSION: Over half of the endurance-trained runners presented with LEA, with nearly a third of participants displaying signs of LEA with an ED. It’s important that patients suffering from both factors receive healthcare involving a multidisciplinary team (physician, AT, dietitian, psychiatrist, etc.), education on the medical consequences involved with LEA, and quality nutritional education.

Medicine & Science in Sports & ExerciseVol. 56(10S)
University of South Carolina (US), Central Washington University (US), University of Virginia (US)
Affordable and clean energy
Openalex Percentile: Top 84%
Muscle metabolism and nutrition
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.