ReviewBiology of sport2023
Predicting resting energy expenditure among athletes: a systematic review.
Review in Biology of sport, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods of Determining Energy Expenditure in Individuals with Prader-Willi Syndrome: A Systematic Literature Review.Nutrients · 2024Pooled it
- Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation.Health information science and systems · 2026Article
- Relative energy deficiency in sport: a cross-sectional study of nutritional, biochemical and hormonal profiles in Czech female endurance athletes at risk of low energy availability.Frontiers in sports and active living · 2026Article
- Nutrition as a missing piece in the development of youth male soccer players: a scoping review and future directions.Biology of sport · 2026Review
- Multicomponent body composition of university club sport athletes.Journal of the International Society of Sports Nutrition · 2025Article
- New Bioelectrical Impedance-Based Equations to Estimate Resting Metabolic Rate in Young Athletes.Methods and protocols · 2025Article
- Nutritional perspectives in female soccer: a scoping review.Journal of the International Society of Sports Nutrition · 2024Article
- Energy intake, hydration status, and sleep of world-class male archers during competition.Journal of the International Society of Sports Nutrition · 2024Article
- Article
- Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers.International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resting energy expenditure (REE) is often estimated in athletes using equations developed from the general population however, the application in athletic-specific populations is questionable. The aim of this systematic review was to compare measured REE and estimations of REE obtained from non-sport participants and athletes. Inclusion criteria met PICO criteria: population - participants involved in organized sport; intervention - resting energy expenditure was obtained by calorimetry; comparator - equations to estimate REE; outcomes - comparisons between measured REE and predicted REE. The search was conducted in Web of Science all databases, PubMed and Scopus. Comparisons between measured REE and predicted REE as well the potential models to estimate REE developed among athletes were summarized. Allowing for variation among studies, equations developed within general populations were not comparable to REE measured by calorimetry in athletes. Equations across athletic samples were obtained but, few studies tested their validity across independent samples of sport participants. Nevertheless, equations developed within athlete populations seem to be widely unused in sports nutrition literature and practice. De Lorenzo and ten Haaf equations appear to present an acceptable agreement with measured REE. Finally, equations used among adults should not be generalised for youth sport participants.
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