The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Lactate threshold and distance-running performance in young and older endurance athletes
Abstract
Many well-trained elite older runners have performances comparable to those of much younger nonelite runners. We sought to determine whether the physiological determinants of endurance performance in two groups of such athletes were the same. Eight master athletes (age 56 +/- 5 yr) were matched on the basis of 10-km performance and training to younger runners (age 25 +/- 3 yr). The master athletes had a 9% lower maximum O2 uptake (VO2max) (P less than 0.05) than the matched young runners, despite the similarity in their performance. Running economy was not different between these groups. However, the master athletes attained a 2.5-mM blood lactate level during steady-state exercise at a higher percentage of their VO2max (P less than 0.05), although both groups attained this lactate level at the same running speed and VO2. Thus, despite having significantly lower VO2max values, the older athletes were able to perform as well as the younger runners because they were able to work closer to their VO2max for the duration of the race.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“suggesting that the relationship between lactate threshold and endurance performance may weaken with age [79].”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [79]
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
Grimby, G., & Saltin, B. (1983) · Clinical Physiology · doi:10.1111/j.1475-097x.1983.tb00704.x · Cited by 513
Significance of skeletal muscle oxidative enzyme enhancement with endurance training.
Gollnick, P. D., & Saltin, B. (1982) · Clinical Physiology · doi:10.1111/j.1475-097x.1982.tb00001.x · Cited by 277
Cited by
Molecular Choreography of Acute Exercise
Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.043 · Cited by 502
Oxidative capacity of human muscle fiber types: effects of age and training status
Proctor, D. N., Sinning, W. E., Walro, J. M., Sieck, G. C., & Lemon, P. W. (1995) · Journal of Applied Physiology · doi:10.1152/jappl.1995.78.6.2033 · Cited by 283
Tanaka, H., & Seals, D. R. (2003) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00320.2003 · Cited by 275
Self-citationMaximal strength and power, endurance performance, and serum hormones in middle-aged and elderly men
IZQUIERDO, M., H??KKINEN, K., ANT??N, A., GARRUES, M., IBA??EZ, J., RUESTA, M., & GOROSTIAGA, E. M. (2001) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200109000-00022 · Cited by 142
Machado, F. A., Nakamura, F. Y., & Moraes, S. M. F. D. (2012) · Journal of Sports Sciences · doi:10.1080/02640414.2012.702424 · Cited by 20
Vangsgaard, D., Noumi, M., Hayden, K. A., & Doyle-Baker, P. K. (2026) · Healthcare · doi:10.3390/healthcare14081080
Metadata
- Authors
- Allen, W. K., Seals, D. R., Hurley, B. F., Ehsani, A. A., & Hagberg, J. M.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 1985-04-01
- Volume
- 58
- Issue
- 4
- Pages
- 1281-1284
- ISSN
- 8750-7587
- 1522-1601
- Cited by
- 119
- References
- 2
- Language
- en
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
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.
