{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T18:40:29Z","timestamp":1791312029420,"version":"4.3.1"},"reference-count":20,"publisher":"Human Kinetics","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,9]]},"abstract":"<jats:sec sec-type=\"purpose\"><jats:title>Purpose:<\/jats:title><jats:p>To use measurement by cycling power meters (P<jats:sub>mes<\/jats:sub>) to evaluate the accuracy of commonly used models for estimating uphill cycling power (P<jats:sub>est<\/jats:sub>). Experiments were designed to explore the influence of wind speed and steepness of climb on accuracy of P<jats:sub>est<\/jats:sub>. The authors hypothesized that the random error in P<jats:sub>est<\/jats:sub> would be largely influenced by the windy conditions, the bias would be diminished in steeper climbs, and windy conditions would induce larger bias in P<jats:sub>est<\/jats:sub>.<\/jats:p><\/jats:sec><jats:sec sec-type=\"methods\"><jats:title>Methods:<\/jats:title><jats:p>Sixteen well-trained cyclists performed 15 uphill-cycling trials (range: length 1.3\u20136.3 km, slope 4.4\u201310.7%) in a random order. Trials included different riding position in a group (lead or follow) and different wind speeds. P<jats:sub>mes<\/jats:sub> was quantified using a power meter, and P<jats:sub>est<\/jats:sub> was calculated with a methodology used by journalists reporting on the Tour de France.<\/jats:p><\/jats:sec><jats:sec sec-type=\"results\"><jats:title>Results:<\/jats:title><jats:p>Overall, the difference between P<jats:sub>mes<\/jats:sub> and P<jats:sub>est<\/jats:sub> was \u20130.95% (95%CI: \u201310.4%, +8.5%) for all trials and 0.24% (\u20136.1%, +6.6%) in conditions without wind (&gt;2 m\/s). The relationship between percent slope and the error between P<jats:sub>est<\/jats:sub> and P<jats:sub>mes<\/jats:sub> were considered trivial.<\/jats:p><\/jats:sec><jats:sec sec-type=\"conclusions\"><jats:title>Conclusions:<\/jats:title><jats:p>Aerodynamic drag (affected by wind velocity and orientation, frontal area, drafting, and speed) is the most confounding factor. The mean estimated values are close to the power-output values measured by power meters, but the random error is between \u00b16% and \u00b110%. Moreover, at the power outputs (&gt;400 W) produced by professional riders, this error is likely to be higher. This observation calls into question the validity of releasing individual values without reporting the range of random errors.<\/jats:p><\/jats:sec>","DOI":"10.1123\/ijspp.2013-0320","type":"journal-article","created":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T13:03:59Z","timestamp":1409317439000},"page":"777-782","source":"Crossref","is-referenced-by-count":15,"title":["Accuracy of Indirect Estimation of Power Output From Uphill Performance in Cycling"],"prefix":"10.1123","volume":"9","author":[{"given":"Gr\u00e9goire 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