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dc.contributor.authorSylta, Øystein
dc.contributor.authorTønnessen, Espen
dc.contributor.authorSeiler, Stephen
dc.date.accessioned2014-12-10T07:03:01Z
dc.date.available2014-12-10T07:03:01Z
dc.date.issued2014
dc.identifier.citationSylta, Ø., TØnnessen, E., & Seiler, S. (2014). From heart-rate data to training quantification: A comparison of 3 methods of training-intensity analysis. International Journal of Sports Physiology and Performance, 9(1), 100-107. doi: 10.1123/IJSPP.2013-0298nb_NO
dc.identifier.issn1555-0265
dc.identifier.urihttp://hdl.handle.net/11250/226883
dc.descriptionAuthor's version of an article in the journal: International Journal of Sports Physiology and Performance. Also available from the publisher at: http://dx.doi.org/10.1123/IJSPP.2013-0298nb_NO
dc.description.abstractPurpose: We directly compared three frequently used methods of heart-rate based training intensity distribution (TID) quantification in a large sample of training sessions performed by elite endurance athletes. Methods: Twenty-nine elite XC skiers (16 male, 13 female, 25 ± 4 yr, 70 ± 11 kg, 76 ± 7 mL . min-1 . kg-1 VO2max) conducted 570 training sessions during a ~14 d altitude training camp. Three analysis methods were used; Time in Zone (TIZ), Session-Goal (SG) and a hybrid Session-Goal/Time in Zone (SG/TIZ) approach. The proportion of training in zone 1, zone 2 and zone 3 was quantified using total training time or frequency of sessions, and simple conversion factors across different methods were calculated. Results: Comparing the TIZ and SG/TIZ methods, 96.1 and 95.5 % respectively of total training time was spent in zone 1 (P < .001), with 2.9/3.6 and 1.1/0.8 % in zones 2/3 (P < .001). Using SG, this corresponded to 86.6 % zone 1 and 11.1/2.4 % zone 2/3 sessions. Estimated conversion factors from TIZ or SG/TIZ to SG and vice versa, were 0.9/1.1 respectively in the low intensity training (LIT) range (zone 1), and 3.0/0.33 in the high intensity training (HIT) range (zone 2 & 3). Conclusions: This study provides a direct comparison and practical conversion factors across studies employing different methods of TID quantification associated with the most common HR based analysis methods.nb_NO
dc.language.isoengnb_NO
dc.publisherHuman Kineticsnb_NO
dc.subjectXC skiersnb_NO
dc.subjectendurance trainingnb_NO
dc.subjectintensity distributionnb_NO
dc.subjecttime in zonenb_NO
dc.subjectsession goalnb_NO
dc.titleFrom heart-rate data to training quantification: A comparison of 3 methods of training-intensity analysisnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.subject.nsiVDP::Medical disciplines: 700::Sports medicine: 850::Exercise techniques: 851nb_NO
dc.source.pagenumber100-107nb_NO
dc.source.volume9nb_NO
dc.source.journalInternational Journal of Sports Physiology and Performancenb_NO
dc.identifier.doi10.1123/IJSPP.2013-0298


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