The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Exercise cardiac function in young through elderly endurance trained women
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“The contribution of ∆a-vO2 to age-related reduction in aerobic capacity appeared to be limited [50,71].”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [50]
In the citing paper
“Conversely, Wiebe et al. [50] reported lower stroke volumes in older (aged 40–63) versus younger athletes (aged 20–29), attributing these differences to alterations in cardiac dimensions such as increased end-systolic volume and/or decreased end-diastolic volume.”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [50]
In the citing paper
“This discrepancy may reflect methodological limitations inherent to cross-sectional studies, including selection bias (e.g., fitter individuals more likely to participate) as well as genetic and other group differences [47,48,50].”
From Effects of Aging on Determinants of Endurance Performance in Women Masters Athletes: A Scoping Review (2026) · cites this paper as [50]
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Citations
Cites
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A physiological comparison of young and older endurance athletes
Heath, G. W., Hagberg, J. M., Ehsani, A. A., & Holloszy, J. O. (1981) · Journal of Applied Physiology · doi:10.1152/jappl.1981.51.3.634 · Cited by 459
A hemodynamic comparison of young and older endurance athletes during exercise
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Estrogen replacement in middle-aged women: thermoregulatory responses to exercise in the heat
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Cited by
Physiology of Soccer: An Update
St??len, T., Chamari, K., Castagna, C., & Wisl??ff, U. (2005) · Sports Medicine · doi:10.2165/00007256-200535060-00004 · Cited by 2,325
Longitudinal Modeling of the Relationship between Age and Maximal Heart Rate
GELLISH, R. L., GOSLIN, B. R., OLSON, R. E., McDONALD, A., RUSSI, G. D., & MOUDGIL, V. K. (2007) · Medicine & Science in Sports & Exercise · doi:10.1097/mss.0b013e31803349c6 · Cited by 660
Exercise Attenuates the Major Hallmarks of Aging
Garatachea, N., Pareja-Galeano, H., Sanchis-Gomar, F., Santos-Lozano, A., Fiuza-Luces, C., Morán, M., Emanuele, E., Joyner, M. J., & Lucia, A. (2015) · Rejuvenation Research · doi:10.1089/rej.2014.1623 · Cited by 413
Sudhir, R., Sukhodub, A., Du, Q., Jovanović, S., & Jovanović, A. (2011) · Biogerontology · doi:10.1007/s10522-010-9306-3 · Cited by 31
Vangsgaard, D., Noumi, M., Hayden, K. A., & Doyle-Baker, P. K. (2026) · Healthcare · doi:10.3390/healthcare14081080
Metadata
- Authors
- WIEBE, C. G., GLEDHILL, N., JAMNIK, V. K., & FERGUSON, S.
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 1999-05
- Volume
- 31
- Issue
- 5
- Pages
- 684-691
- ISSN
- 0195-9131
- Cited by
- 44
- References
- 4
- Language
- en
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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.
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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.
