The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Modeling: optimal marathon performance on the basis of physiological factors
Abstract
This paper examines current concepts concerning "limiting" factors in human endurance performance by modeling marathon running times on the basis of various combinations of previously reported values of maximal O2 uptake (VO2max), lactate threshold, and running economy in elite distance runners. The current concept is that VO2max sets the upper limit for aerobic metabolism while the blood lactate threshold is related to the fraction of VO2max that can be sustained in competitive events greater than approximately 3,000 m. Running economy then appears to interact with VO2max and blood lactate threshold to determine the actual running speed at lactate threshold, which is generally a speed similar to (or slightly slower than) that sustained by individual runners in the marathon. A variety of combinations of these variables from elite runners results in estimated running times that are significantly faster than the current world record (2:06:50). The fastest time for the marathon predicted by this model is 1:57:58 in a hypothetical subject with a VO2max of 84 ml.kg-1.min-1, a lactate threshold of 85% of VO2max, and exceptional running economy. This analysis suggests that substantial improvements in marathon performance are "physiologically" possible or that current concepts regarding limiting factors in endurance running need additional refinement and empirical testing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Muscle glycogen utilization during prolonged strenuous exercise when fed carbohydrate
Coyle, E. F., Coggan, A. R., Hemmert, M. K., & Ivy, J. L. (1986) · Journal of Applied Physiology · doi:10.1152/jappl.1986.61.1.165 · Cited by 1,022
Time course of loss of adaptations after stopping prolonged intense endurance training
Coyle, E. F., Martin, W. H., Sinacore, D. R., Joyner, M. J., Hagberg, J. M., & Holloszy, J. O. (1984) · Journal of Applied Physiology · doi:10.1152/jappl.1984.57.6.1857 · Cited by 364
Self-citation
Cited by
Endurance exercise performance: the physiology of champions
Joyner, M. J., & Coyle, E. F. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2007.143834 · Cited by 1,307
Self-citationRunning economy: Measurement, norms, and determining factors
Barnes, K. R., & Kilding, A. E. (2015) · Sports Medicine - Open · doi:10.1186/s40798-015-0007-y · Cited by 465
A Comparison of the Energetic Cost of Running in Marathon Racing Shoes
Hoogkamer, W., Kipp, S., Frank, J. H., Farina, E. M., Luo, G., & Kram, R. (2018) · Sports Medicine · doi:10.1007/s40279-017-0811-2 · Cited by 434
“sustained: the maximal rate of oxygen uptake ( _ VO2max), the lactate threshold, and the energetic cost of running (running economy) [5, 6].”
BackgroundHUNTER, S. K., S. ANGADI, S., BHARGAVA, A., HARPER, J., HIRSCHBERG, A. L., D. LEVINE, B., L. MOREAU, K., J. NOKOFF, N., STACHENFELD, N. S., & BERMON, S. (2023) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003300 · Cited by 241
Altered Running Economy Directly Translates to Altered Distance-Running Performance
HOOGKAMER, W., KIPP, S., SPIERING, B. A., & KRAM, R. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001012 · Cited by 230
Metadata
- Authors
- Joyner, M. J.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 1991-02-01
- Volume
- 70
- Issue
- 2
- Pages
- 683-687
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2110828645
- Cited by
- 348
- References
- 2
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modeling: optimal marathon performance on the basis of physiological factors. https://app.cochat.ai/papers/10.1152/jappl.1991.70.2.683
- The paper
- Joyner, M. J. (1991). Modeling: optimal marathon performance on the basis of physiological factors. Journal of Applied Physiology. https://doi.org/10.1152/jappl.1991.70.2.683
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.