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Delta efficiency calculation in Tour de France champion is wrong

2008; American Physiological Society; Volume: 105; Issue: 3 Linguagem: Inglês

10.1152/japplphysiol.90459.2008

8750-7587

Christopher J. Gore, Michael Ashenden, Ken Sharpe, David T. Martin,

Muscle metabolism and nutrition

LETTERS TO THE EDITORDelta efficiency calculation in Tour de France champion is wrongChristopher J. Gore, Michael J. Ashenden, Ken Sharpe, and David T. MartinChristopher J. Gore, Michael J. Ashenden, Ken Sharpe, and David T. MartinPublished Online:01 Sep 2008https://doi.org/10.1152/japplphysiol.90459.2008MoreSectionsPDF (33 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookTwitterLinkedInWeChat to the editor: We previously raised concerns (6) about the methodology used to assess Lance Armstrong's muscle efficiency in the popular Journal of Applied Physiology paper entitled “Improved muscle efficiency displayed as Tour de France champion matures” (1). Subsequently, Coyle made available raw data from the January 1993 test that revealed several additional deviations from the published methodology. Coyle used a 20-min ergometer protocol (not 25 min), including 2- and 3-min stages where respiratory exchange ratios (RER) exceeded 1.00. An RER >1.00 invalidates use of the Lusk equations (5) to estimate energy expenditure.A review of the raw data established that the published delta efficiency (DE) values in the Armstrong paper were calculated using the wrong equation. Coyle's published methodology (1) and that used by his group on several previous occasions (2, 4, 7) stipulates that linear regression (y = mx + b) be used to calculate DE, as the reciprocal of the slope from the relationship between the energy equivalent of oxygen uptake and cycling power output. However, Coyle calculated DE using the general formula 100 × ∑(X × Y)/∑(X2). This calculation is equivalent to linear regression using y = mx, which forces the regression line through the origin. Resting metabolic rate (RMR) as well as the cost of cycling without load (including the variable cost of ventilation and circulation) mandate that the regression line used to calculate DE cannot pass through the origin.In their benchmark paper, Gaesser and Brooks (3) argue that DE, as the first derivative of the increase in caloric cost of exercise with respect to ordered increases in work, is a “floating base-line” method. Hence it is essential that the regression is not forced through zero when calculating DE. By employing y = mx for each of the four data sets used to calculate DE, Coyle has assumed that Armstrong's RMR and cost of cycling without a load was not influenced by orchiectomy and chemotherapy, plus well-publicized weight fluctuations during the 7-year study.Gross efficiency values reported by Coyle, which demonstrate an r = 0.999 correlation with his DE data, have been cogently dismissed by Gaesser and Brooks (3) as being of little value in understanding muscular efficiency. This interpretation is recognized by Coyle who notes on p. 2194 of his publication (1), “delta efficiency … provides the best reflection of power production … as it eliminates or minimizes the influence of the energy cost of unloaded cycling, ventilatory work, and other metabolic processes not directly linked to muscle power production.”Using the correct equation, we recalculated Armstrong's DE as 23.55% in January 1993 (23.02% if the 2-min stage is included), which exceeds the 23.12% value for the final test in November 1999. This is 8% higher than the reported value of 21.75%. The magnitude of this error warrants recalculation of the entire data set, but raw data from the remaining test sessions are not available from the author.In conclusion, all of the published delta efficiency values are wrong. Thus there exists no credible evidence to support Coyle's conclusion that Armstrong's muscle efficiency improved.REFERENCES1 Coyle EF. Improved muscular efficiency displayed as Tour de France champion matures. J Appl Physiol 98: 2191–2196, 2005.Link | ISI | Google Scholar2 Coyle EF, Sidossis LS, Horowitz JF, Beltz JD. Cycling efficiency is related to the percentage of type I muscle fibers. Med Sci Sports Exerc 24: 782–788, 1992.Crossref | PubMed | ISI | Google Scholar3 Gaesser GA, Brooks GA. Muscular efficiency during steady-rate exercise: effects of speed and work rate. J Appl Physiol 38: 1132–1139, 1975.Link | ISI | Google Scholar4 Horowitz JF, Sidossis LS, Coyle EF. High efficiency of type I muscle fibers improves performance. Int J Sports Med 15: 152–157, 1994.Crossref | PubMed | ISI | Google Scholar5 Lusk G. In: The Elements of the Science of Nutrition. New York: Johnson Reprint, 1976, p. 65.Google Scholar6 Martin DT, Quod MJ, Gore CJ, Coyle EF. Has Armstrong's cycle efficiency improved? J Appl Physiol 99: 1628–1629, 2005.Link | ISI | Google Scholar7 Sidossis LS, Horowitz JF, Coyle EF. Load and velocity of contraction influence gross and delta mechanical efficiency. Int J Sports Med 13: 407–411, 1992.Crossref | PubMed | ISI | Google ScholarAUTHOR NOTESAddress for reprint requests and other correspondence: C. J. Gore, Australian Institute of Sport, PO Box 176, Belconnen ACT 2616, Australia (e-mail: [email protected]) Download PDF Previous Back to Top Next FiguresReferencesRelatedInformation Cited ByConsiderations on the Assessment and Use of Cycling Performance Metrics and their Integration in the Athlete's Biological Passport9 November 2017 | Frontiers in Physiology, Vol. 8The influence of training status, age, and muscle fiber type on cycling efficiency and endurance performanceJames G. Hopker, Damian A. Coleman, Hannah C. Gregson, Simon A. Jobson, Tobias Von der Haar, Jonathan Wiles, and Louis Passfield1 September 2013 | Journal of Applied Physiology, Vol. 115, No. 5The effect of training volume and intensity on competitive cyclists’ efficiencyApplied Physiology, Nutrition, and Metabolism, Vol. 35, No. 1Reply to Gore, Ashenden, Sharpe, and MartinEdward F. Coyle1 September 2008 | Journal of Applied Physiology, Vol. 105, No. 3 More from this issue > Volume 105Issue 3September 2008Pages 1020-1020 Copyright & PermissionsCopyright © 2008 the American Physiological Societyhttps://doi.org/10.1152/japplphysiol.90459.2008PubMed18779269History Published online 1 September 2008 Published in print 1 September 2008 Metrics