ArticlePeerJ2017
Re-examination of the contribution of substrates to energy expenditure during high-intensity intermittent exercise in endurance athletes.
Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Comparative effects of high-intensity interval training versus moderate-intensity continuous training on body composition and blood pressure in overweight adolescents: a systematic review and meta-analysis of randomized controlled trials.Frontiers in physiology · 2025Pooled it
- Association between "cluster of differentiation 36 (CD36)" and adipose tissue lipolysis during exercise training: a systematic review.Frontiers in physiology · 2023Pooled it
- Effects of boysenberry on postprandial energy metabolism in healthy adults: A randomized controlled crossover trial.PloS one · 2025Trial
- Supplementation with food-derived oligopeptides promotes lipid metabolism in young male cyclists: a randomized controlled crossover trial.Journal of the International Society of Sports Nutrition · 2023Trial
- Article
- The Prevalence of Low Energy Availability in Cross-Country Skiers during the Annual Cycle.Nutrients · 2024Article
- Genotypic and Allelic Distribution of theGenes · 2024Article
- The Effects of HIIT vs. MICT and Sedentary Controls on Blood Lipid Concentrations in Nondiabetic Overweight and Obese Young Adults: A Meta-analysis.International journal of exercise science · 2023Article
- FAT/CD36 Participation in Human Skeletal Muscle Lipid Metabolism: A Systematic Review.Journal of clinical medicine · 2022Review
- The Regulation of Fat Metabolism During Aerobic Exercise.Biomolecules · 2020Review
- Maximum Aerobic Function: Clinical Relevance, Physiological Underpinnings, and Practical Application.Frontiers in physiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt has been believed that the contribution of fat oxidation to total energy expenditure is becoming negligible at higher exercise intensities (about 85% VO
methodsA total of 18 healthy well-trained (aged 19.60 ± 0.54 years, BMI = 22.19 ± 0.64 kg/m
resultsThe fat oxidation rate during each workout was significantly different between the untrained and the athlete groups (
conclusionsThe present study indicates that 17 times more fat oxidation was measured in the athlete group compared to the untrained group. However, the athletes had the same CHO oxidation rate as the recreationally active subjects during high-intensity intermittent exercise. Higher fat oxidation rate despite the same CHO oxidation rate may be related to higher performance in the trained group.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.