dc.contributor.author | Saunders, Philo U | |
dc.contributor.author | Cox, Amanda J | |
dc.contributor.author | Hopkins, Will G | |
dc.contributor.author | Pyne, David B | |
dc.date.accessioned | 2017-05-03T11:59:45Z | |
dc.date.available | 2017-05-03T11:59:45Z | |
dc.date.issued | 2010 | |
dc.date.modified | 2014-07-22T04:29:14Z | |
dc.identifier.issn | 1555-0265 | |
dc.identifier.doi | 10.1123/ijspp.5.2.230 | |
dc.identifier.uri | http://hdl.handle.net/10072/61530 | |
dc.description.abstract | It is unclear whether physiological measures monitored in an incremental treadmill test during a training season provide useful diagnostic information about changes in distance running performance. Purpose: To quantify the relationship between changes in physiological measures and performance (peak running speed) over a training season. Methods: Well-trained distance runners (34 males; VO2max 64 ± 6 mL⋅kg-1⋅min-1, mean ± SD) completed four incremental treadmill tests over 17 wk. The tests provided values of peak running speed, VO2max, running economy, and lactate threshold (as speed and %VO2max). The physiological measures were included in simple and multiple linear regression models to quantify the relationship between changes in these measures and changes in peak speed. Results: The typical within-subject variation in peak speed from test to test was 2.5%, whereas those for physiological measures were VO2max (mL⋅min-1⋅kg-1) 3.0%, economy (m⋅kg⋅mL–1) 3.6%, lactate threshold (%VO2max) 8.7%, and body mass 1.8%. In simple models these typical changes predicted the following changes in performance: VO2max 1.4%, economy 0.8%, lactate threshold –0.3%, and body mass –0.2% (90% confidence limits ~±0.7%); the corresponding correlations with performance were 0.57, 0.33, –0.05, and –0.13 respectively (~±0.20). In a multiple linear regression model, the contribution of each physiological variable to performance changed little after adjustment for the other variables. Conclusion: Change in VO2max in an incremental test during a running season is a good predictor of change in peak running speed, change in running economy is a moderate predictor, and lactate threshold and body mass provide little additional information. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Human Kinetics | |
dc.publisher.place | United States | |
dc.publisher.uri | https://journals.humankinetics.com/view/journals/ijspp/5/2/article-p230.xml | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 230 | |
dc.relation.ispartofpageto | 238 | |
dc.relation.ispartofjournal | International Journal of Sports Physiology and Performance | |
dc.relation.ispartofvolume | 5 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Sports science and exercise | |
dc.subject.fieldofresearch | Sports science and exercise not elsewhere classified | |
dc.subject.fieldofresearch | Medical physiology | |
dc.subject.fieldofresearchcode | 4207 | |
dc.subject.fieldofresearchcode | 420799 | |
dc.subject.fieldofresearchcode | 3208 | |
dc.title | Physiological Measures Tracking Seasonal Changes in Peak Running Speed | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Cox, Amanda J. | |