SynthesisSports medicine (Auckland, N.Z.)2015
The Effect of Exercise Training on the Energetic Cost of Cycling.
Synthesis in Sports medicine (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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
10 citing papers in PubMed.
- Exercise training-induced speeding ofEuropean journal of applied physiology · 2025Trial
- Inverse relationship between changes of maximal aerobic capacity and changes in walking economy after weight loss.European journal of applied physiology · 2018Trial
- Evaluating the maximal rate of lactate accumulation and estimated maximal lactate steady state in cycling.European journal of applied physiology · 2025Article
- Biomechanical differences in lower limb movements during lifting tasks before and after fatigue.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Training Willpower: Reducing Costs and Valuing Effort.Frontiers in neuroscience · 2022Review
- Article
- Relationship between V̇oJournal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- A Comparison of Methodological Approaches to Measuring Cycling Mechanical Efficiency.Sports medicine - open · 2019Article
- Influence of dietary nitrate supplementation on physiological and muscle metabolic adaptations to sprint interval training.Journal of applied physiology (Bethesda, Md. : 1985) · 2017Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveThe energetic cost of cycling (CE) is a major contributor to cycling performance but whether CE can be improved by exercise intervention remains uncertain. Here, we sought to systematically review and determine the effect of exercise training on CE in healthy humans.
methodsMEDLINE, Scopus, and Web of Science were searched since their inceptions up until December 2014 for articles assessing the effect of exercise training in healthy subjects on CE, as determined by cycling economy or efficiency. Meta-analyses were performed to determine the standardized mean difference (SMD) in CE between post- and pre-training measurements. Subgroup and meta-regression analyses were used to evaluate potential moderating/confounding factors.
resultsFifty-one studies were included after systematic review, comprising a total of 531 healthy subjects (mean age = 20-66 years). Exercise interventions primarily consisted of endurance and/or strength training ranging from 4 to 34 weeks of duration. After data pooling, the meta-analysis revealed that CE was improved with strength training alone or along with endurance training (n = 16, SMD = -0.50, P < 0.0001) but not with endurance training alone (n = 33, SMD = -0.18, P = 0.08). In further subgroup analyses, endurance training alone was effective in improving CE in previously untrained (n = 20, SMD = -0.21, P = 0.04) but not in trained (n = 6, SMD = 0.09, P = 0.75) subjects. The SMD in CE was associated with the duration of training (n = 51, B = -0.03, P = 0.0002).
conclusionThe current meta-analysis provides evidence that CE is improved by exercise training, particularly when strength training or untrained subjects are included.
Indexed as
Identifiers
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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.