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Lifelong Endurance Exercise as a Countermeasure Against Age-Related $$\dot{V}{\text{O}}_{{ 2 {\text{max}}}}$$ Decline: Physiological Overview and Insights from Masters Athletes
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“Above the third age decade, VO2max values decline by approximately 10% per decade but this decline may be considerably modulated by training [9,10].”
From Nutrition for Older Athletes: Focus on Sex-Differences (2021) · cites this paper as [9]
In the citing paper
“Extensive scientific evidence suggests that long-term endurance running in advanced age is effective in attenuating age-related physiological decline [11,72,73].”
From Ageing, Sex Differences, and REDs Risk in Endurance Runners: An Integrated Cross-Sectional Study Protocol (2026) · cites this paper as [72]
In the citing paper
“studying master endurance runners will remain methodologically valuable because this cohort provides a well-established human model of “successful/healthy ageing”, allowing for the investigation of age-related physiological decline under conditions of sustained high training exposure, thereby reducing confounding by the typical age-related reduction in physical activity [55,72,79].”
From Ageing, Sex Differences, and REDs Risk in Endurance Runners: An Integrated Cross-Sectional Study Protocol (2026) · cites this paper as [72]
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Cited by
Nutrition for Older Athletes: Focus on Sex-Differences
Strasser, B., Pesta, D., Rittweger, J., Burtscher, J., & Burtscher, M. (2021) · Nutrients · doi:10.3390/nu13051409 · Cited by 25
Oreská, Ľ., Kundeková, B., Varga, L., Stebelová, K., Okuliarová, M., Payer, J., & Sedliak, M. (2026) · Sports · doi:10.3390/sports14030121
Metadata
- Authors
- Valenzuela, P. L., Maffiuletti, N. A., Joyner, M. J., Lucia, A., & Lepers, R.
- ORCID
- Valenzuela, Pedro L.
- Venue
- Sports Medicine
- Published
- 2019-12-24
- Volume
- 50
- Issue
- 4
- Pages
- 703-716
- ISSN
- 0112-1642
- 1179-2035
- Cited by
- 69
- References
- 23
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Funders
- Universidad de Alcalá (FPI2016)
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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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.