Miguel Ángel Galán-Rioja, Fernando González-Mohíno, Philip Friere Skiba, José María González-Ravé
{"title":"Utility of the W´BAL model in training programme design for masters cyclists","authors":"Miguel Ángel Galán-Rioja, Fernando González-Mohíno, Philip Friere Skiba, José María González-Ravé","doi":"10.1080/17461391.2022.2142675","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The present study aims to determine the utility of integrating balance model (W´<sub>BAL-INT</sub>) in designing interval training programmes as assessed by improvements in power output, critical power (CP), and W prime (W´) defined as the finite work capacity above CP. Fourteen male cyclists (age = 42 ± 7 yr, body mass = 69.6 ± 6.5 kg, height = 175 ± 5 cm, CP = 302 ± 32 W, relative CP = 4.35 ± 0.66 W·kg<sup>−1</sup>) were randomized into two training groups: Short-Medium-Long intervals (SML-INT; <i>n</i> = 7) or Long intervals (L-INT, <i>n</i> = 7) [training sessions separated by 72 h], along with 3–4 sessions of moderate intensity training per week, for 4 weeks. All sessions were designed to result in the complete depletion of the W´ as gauged by the W´<sub>BAL-INT</sub>. CP and W´ were assessed using the specified efforts (i.e. 12, 7 and 3 min) and calculated with the 2-parameter CP linear model. Training loads between the groups were compared using different metrics. CP improved in both the SML-INT and L-INT groups by 5 ± 4% and 6 ± 5% (<i>p</i> < 0.001) respectively, without significant changes in W´. Mean maximal power over 3, 7 and 12 min increased significantly in the SML-INT group by 5%, 4% and 9%, (<i>p</i> < 0.05) without significant changes in the L-INT group. There were no differences between groups in training zone distribution or training load using BikeScore and relative intensity, but there was significantly (<i>p</i> < 0.05) higher TRIMPS for the Long-INT group. Therefore, W´<sub>BAL</sub> model may prove to be a useful tool for coaches to construct SML-INT training programmes.</p>\n </div>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"23 7","pages":"1259-1268"},"PeriodicalIF":3.0000,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1080/17461391.2022.2142675","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of sport science","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1080/17461391.2022.2142675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The present study aims to determine the utility of integrating balance model (W´BAL-INT) in designing interval training programmes as assessed by improvements in power output, critical power (CP), and W prime (W´) defined as the finite work capacity above CP. Fourteen male cyclists (age = 42 ± 7 yr, body mass = 69.6 ± 6.5 kg, height = 175 ± 5 cm, CP = 302 ± 32 W, relative CP = 4.35 ± 0.66 W·kg−1) were randomized into two training groups: Short-Medium-Long intervals (SML-INT; n = 7) or Long intervals (L-INT, n = 7) [training sessions separated by 72 h], along with 3–4 sessions of moderate intensity training per week, for 4 weeks. All sessions were designed to result in the complete depletion of the W´ as gauged by the W´BAL-INT. CP and W´ were assessed using the specified efforts (i.e. 12, 7 and 3 min) and calculated with the 2-parameter CP linear model. Training loads between the groups were compared using different metrics. CP improved in both the SML-INT and L-INT groups by 5 ± 4% and 6 ± 5% (p < 0.001) respectively, without significant changes in W´. Mean maximal power over 3, 7 and 12 min increased significantly in the SML-INT group by 5%, 4% and 9%, (p < 0.05) without significant changes in the L-INT group. There were no differences between groups in training zone distribution or training load using BikeScore and relative intensity, but there was significantly (p < 0.05) higher TRIMPS for the Long-INT group. Therefore, W´BAL model may prove to be a useful tool for coaches to construct SML-INT training programmes.