Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 524

The DOI matches its Crossref record.

Cycling efficiency is related to the percentage of Type I muscle fibers

COYLE, EDWARD F., SIDOSSIS, LABROS S., HOROWITZ, JEFFREY F., BELTZ, JOHN D.·1992·Medicine & Science in Sports & Exercise
DOI 10.1249/00005768-199207000-00008
Open this paper in CoChat — free account

Abstract

COYLE, E. F., L. S. SIDOSSIS, J. F. HOROWITZ, and J. D. BELTZ. Cycling efficiency is related to the percentage of Type I muscle fibers. Med. Sci. Sports Exerc., Vol. 24, No. 7, pp. 782–788, 1992. We determined that the variability in the oxygen cost and thus the caloric expenditure of cycling at a given work rate (i.e., cycling economy) observed among highly endurance-trained cyclists (N = 19; mean ± SE; V̇O2max, 4.9 ± 6.1 1·min-1; body weight, 71 ± 1 kg) is related to differences in their % Type I muscle fibers. The percentage of Type I and II muscle fibers was determined from biopsies of the vastus lateralis muscle that were histochemically stained for ATPase activity. When cycling a Monark ergometer at 80 RPM at work rates eliciting 52 ± 1,61 ± 1, and 71 ± 1% V̇O2max, efficiency was determined from the caloric expenditure responses (V̇O2 and RER using open circuit spirometry) to steady-state exercise. Gross efficiency (GE) was calculated as the ratio of work accomplished · min-1 to caloric expenditure-min-1, whereas delta efficiency (DE) was calculated as the slope of this relationship between approximately 50 and 70% VO2max. The % Type I fibers ranged from 32 to 76%, and DE when cycling ranged from 18.3 to 25.6% in these subjects. The % Type I fibers was positively correlated with both DE (r = 0.85; P< 0.001; N = 19) and GE (r = 0.75; P < 0.001; N = 19) during cycling. Additionally, % Type I fibers was positively correlated with GE (r = 0.74; P < 0.001; N= 13) measured during the novel task of two-legged knee extension; performed at a velocity of 177 ± 6°-s-1‘ and intensity of 50 and 70% of peak V̇O2 for that activity. Therefore, the relationship between muscular efficiency and muscle fiber type is not specific to cycling. We conclude that muscular efficiency varies greatly in highly endurance-trained cyclists and most of this variability appears to be related to differences in their % Type I muscle fibers. Therefore, when endurance-trained men exercise under these conditions, Type I muscle fibers appear to be substantially more efficient than Type II muscle fibers, possibly as a result of a lower rate of ATP turnover as reflected by a lower V̇O2 while performing exercise at a given power output.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1249/00005768-199207000-00008

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

Metadata

Authors
COYLE, E. F., SIDOSSIS, L. S., HOROWITZ, J. F., & BELTZ, J. D.
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
1992-07
Volume
24
Issue
7
Pages
782???788
ISSN
0195-9131 (ISSN-L)
DOI
10.1249/00005768-199207000-00008
OpenAlex
W2080760844
Cited by
524
References
0
FWCI
9.71
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

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.