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Field-measured drag area is a key correlate of level cycling time trial performance.

Authors :
Peterman JE
Lim AC
Ignatz RI
Edwards AG
Byrnes WC
Source :
PeerJ [PeerJ] 2015 Aug 11; Vol. 3, pp. e1144. Date of Electronic Publication: 2015 Aug 11 (Print Publication: 2015).
Publication Year :
2015

Abstract

Drag area (Ad ) is a primary factor determining aerodynamic resistance during level cycling and is therefore a key determinant of level time trial performance. However, Ad has traditionally been difficult to measure. Our purpose was to determine the value of adding field-measured Ad as a correlate of level cycling time trial performance. In the field, 19 male cyclists performed a level (22.1 km) time trial. Separately, field-determined Ad and rolling resistance were calculated for subjects along with projected frontal area assessed directly (AP ) and indirectly (Est AP ). Also, a graded exercise test was performed to determine [Formula: see text] peak, lactate threshold (LT), and economy. [Formula: see text] peak ([Formula: see text]) and power at LT were significantly correlated to power measured during the time trial (r = 0.83 and 0.69, respectively) but were not significantly correlated to performance time (r = - 0.42 and -0.45). The correlation with performance time improved significantly (p < 0.05) when these variables were normalized to Ad . Of note, Ad alone was better correlated to performance time (r = 0.85, p < 0.001) than any combination of non-normalized physiological measure. The best correlate with performance time was field-measured power output during the time trial normalized to Ad (r = - 0.92). AP only accounted for 54% of the variability in Ad . Accordingly, the correlation to performance time was significantly lower using power normalized to AP (r = - 0.75) or Est AP (r = - 0.71). In conclusion, unless normalized to Ad , level time trial performance in the field was not highly correlated to common laboratory measures. Furthermore, our field-measured Ad is easy to determine and was the single best predictor of level time trial performance.

Details

Language :
English
ISSN :
2167-8359
Volume :
3
Database :
MEDLINE
Journal :
PeerJ
Publication Type :
Academic Journal
Accession number :
26290797
Full Text :
https://doi.org/10.7717/peerj.1144