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dc.contributor.authorSaunders, Philo U
dc.contributor.authorCox, Amanda J
dc.contributor.authorHopkins, Will G
dc.contributor.authorPyne, David B
dc.date.accessioned2017-05-03T11:59:45Z
dc.date.available2017-05-03T11:59:45Z
dc.date.issued2010
dc.date.modified2014-07-22T04:29:14Z
dc.identifier.issn1555-0265
dc.identifier.doi10.1123/ijspp.5.2.230
dc.identifier.urihttp://hdl.handle.net/10072/61530
dc.description.abstractIt 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.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherHuman Kinetics
dc.publisher.placeUnited States
dc.publisher.urihttps://journals.humankinetics.com/view/journals/ijspp/5/2/article-p230.xml
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom230
dc.relation.ispartofpageto238
dc.relation.ispartofjournalInternational Journal of Sports Physiology and Performance
dc.relation.ispartofvolume5
dc.rights.retentionY
dc.subject.fieldofresearchSports science and exercise
dc.subject.fieldofresearchSports science and exercise not elsewhere classified
dc.subject.fieldofresearchMedical physiology
dc.subject.fieldofresearchcode4207
dc.subject.fieldofresearchcode420799
dc.subject.fieldofresearchcode3208
dc.titlePhysiological Measures Tracking Seasonal Changes in Peak Running Speed
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorCox, Amanda J.


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