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Cited by 3Sports Performance and TrainingMuscle metabolism and nutritionNutrition, Health and Food Behavior

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Energy availability and macronutrient intake over a 7-day training period in adolescent rugby players

LEHMANN, Lisa, GIACOMONI, Magali, MASO, Freddy, COLARD, Julian, MARGARITIS, Irène, DUCHÉ, Pascale·2025·The Journal of Sports Medicine and Physical Fitness
DOI 10.23736/s0022-4707.24.16183-x
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Abstract

Background Understanding the dietary intake of elite adolescent athletes and its adequacy with sport nutrition recommendation is a key issue for health and player development, as well as performance and recovery. Energy availability needs to be considered to ensure optimal health and performance in young athletes. The present study aimed to quantify energy availability, energy expenditure and macronutrient intake in young male rugby union players competing at national level. Methods Twelve male adolescent players (15.6±0.6 years) completed a 7-days prospective observational study (5 days of training and 2 days of full recovery). Total energy expenditure was estimated using indirect calorimetry and heart rate measurement. Energy intake was assessed using weighed food by a dietitian in cafeteria (training days) and image-based dietary (recovery days). Energy availability was calculated using (energy intake-exercise energy expenditure)/fat-free mass. Results Mean energy availability was 38.5±7.5, 40.2±5.4 and 47.8±5.1 kcal/kgFFM/d on heavy training, moderate training and recovery days, respectively. Players consumed a low carbohydrate (~5.0 g/kg/d), high protein (~2.0 g/kg/d) and high fat (~1.8 g/kg/d) diet on training and recovery days in relation to current international nutritional recommendations for young athletes. Conclusions Athletes showed sub-optimal energy availability on training days, high energy availability on recovery days and did not comply with carbohydrate inta…

Overview

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Registry

Crossref · 10.23736/s0022-4707.24.16183-x

Cites

45 of 45 references verified0 citation errors · 0 not checkable

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Citations

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  1. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Second edition. L. Erlbaum Associates; 1988.

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Metadata

Authors
LEHMANN, L., GIACOMONI, M., MASO, F., COLARD, J., MARGARITIS, I., & DUCHÉ, P.
Affiliations
  • Université de Toulon (FR)
  • Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (FR)
Corresponding author
GIACOMONI, Magali
ORCID
Venue
The Journal of Sports Medicine and Physical Fitness
Publisher
Edizioni Minerva Medica
Published
2025-04
Volume
65
Issue
5
Pages
641-649
ISSN
  • 0022-4707 (ISSN-L)
  • 1827-1928
DOI
10.23736/s0022-4707.24.16183-x
OpenAlex
W4406464877
Cited by
3
References
45
Citations by year
2026: 1 · 2025: 2
FWCI
2.11
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Sports Medicine and Physical Fitness (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
energy availability, macronutrient intake, youth athletes, rugby union, energy expenditure, carbohydrate intake, protein intake, dietary fat intake, dietary adherence, fat-free mass, young male athletes
MeSH terms
Adolescent, Energy Intake, Calorimetry, Indirect, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Metabolism, Football, Heart Rate, Humans, Male, Prospective Studies, Athletes, Sports Nutritional Physiological Phenomena, Physical Conditioning, Human

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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.