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The Effect of Endurance Training on Parameters of Aerobic Fitness
Abstract
Endurance exercise training results in profound adaptations of the cardiorespiratory and neuromuscular systems that enhance the delivery of oxygen from the atmosphere to the mitochondria and enable a tighter regulation of muscle metabolism. These adaptations effect an improvement in endurance performance that is manifest as a rightward shift in the 'velocity-time curve'. This shift enables athletes to exercise for longer at a given absolute exercise intensity, or to exercise at a higher exercise intensity for a given duration. There are 4 key parameters of aerobic fitness that affect the nature of the velocity-time curve that can be measured in the human athlete. These are the maximal oxygen uptake (VO2max), exercise economy, the lactate/ventilatory threshold and oxygen uptake kinetics. Other parameters that may help determine endurance performance, and that are related to the other 4 parameters, are the velocity at VO2max (V-VO2max) and the maximal lactate steady state or critical power. This review considers the effect of endurance training on the key parameters of aerobic (endurance) fitness and attempts to relate these changes to the adaptations seen in the body's physiological systems with training. The importance of improvements in the aerobic fitness parameters to the enhancement of endurance performance is highlighted, as are the training methods that may be considered optimal for facilitating such improvements.
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“It is well established that endurance exercise performance is a function of , the fractional utilization of , and exercise efficiency [37, 38].”
From Dietary Nitrate Supplementation and Exercise Performance (2014) · cites this paper as [38]
In the citing paper
“Assuming that the other factors remain unchanged, an improvement in muscle efficiency would be expected to enable a greater work output for the same energy cost and translate into improved exercise performance [37, 38].”
From Dietary Nitrate Supplementation and Exercise Performance (2014) · cites this paper as [38]
In the citing paper
“In particular, physical activity is characterized by both movement and the associated cardiovascular response to movement (e.g. heart rate increases after exercise and the dynamics of this increase are dictated by fitness levels [132]); thus, leveraging these two signals concurrently likely produces better representations than either signal taken in isolation.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [132]
In the citing paper
“the dynamics of this increase are dictated by fitness levels [132]”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [132]
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Metadata
- Authors
- Jones, A. M., & Carter, H.
- Affiliations
- Manchester Metropolitan University (GB)
- University of Surrey (GB)
- Corresponding author
- Jones, Andrew M.
- Venue
- Sports Medicine
- Published
- 2000
- Volume
- 29
- Issue
- 6
- Pages
- 373-386
- ISSN
- 0112-1642 (ISSN-L)
- OpenAlex
- W2144427278
- Cited by
- 935
- References
- 168
- Citations by year
- 2026: 45 · 2025: 37 · 2024: 74 · 2023: 48 · 2022: 53 · 2021: 46 · 2020: 50 · 2019: 49 · 2018: 56 · 2017: 61 · 2016: 35 · 2015: 49 · 2014: 42 · 2013: 43 · 2012: 34
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sports Medicine (publishedVersion)
- PubMed (publishedVersion)
- e-space (Manchester Metropolitan University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
- Keywords
- endurance training, cardiorespiratory fitness, VO2max, exercise economy, lactate threshold, ventilatory threshold, oxygen uptake kinetics, velocity-time curve, critical power, maximal lactate steady state, endurance performance, cardiorespiratory adaptation, muscle metabolism
- MeSH terms
- Adaptation, Physiological, Bicycling, Heart Rate, Humans, Oxygen Consumption, Physical Endurance, Physical Fitness, Running, Exercise, Muscle, Skeletal, Lactic Acid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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