What Does It Take to Become a Professional Cyclist? A Laboratory-Based Longitudinal Analysis in Competitive Young Riders

dc.contributor.authorValenzuela Tallón, Pedro Luis
dc.contributor.authorBrea Alejo, Lidia
dc.contributor.authorLucía Mulas, Alejandro
dc.contributor.authorBarranco Gil, David
dc.date.accessioned2024-04-14T10:41:24Z
dc.date.available2024-04-14T10:41:24Z
dc.date.issued2023
dc.description.abstractPurpose: Laboratory-based indicators are commonly used for performance assessment in young cyclists. However, evidence supporting the use of these indicators mostly comes from cross-sectional research, and their validity as predictors of potential future performance remains unclear. We aimed to assess the role of laboratory variables for predicting transition from U23 (under 23 y) to professional category in young cyclists. Methods: Sixty-five U23 male road cyclists (19.6 [1.5] y) were studied. Endurance (maximal graded test and simulated 8-min time trial [TT]), muscle strength/power (squat, lunge, and hip thrust), and body composition (assessed with dual-energy X-ray absorptiometry) indicators were determined. Participants were subsequently followed and categorized attending to whether they had transitioned ("Pro") or not ("Non-Pro") to the professional category during the study period. Results: The median follow-up period was 3 years. Pro cyclists (n = 16) showed significantly higher values than Non-Pro riders (n = 49) for ventilatory thresholds, peak power output, peak oxygen uptake, and TT performance (all P < .05, effect size > 0.69) and lower levels of fat mass and bone mineral content/density (P < .05, effect size > 0.63). However, no significant differences were found for muscle strength/power indicators (P > .05, effect size < 49). The most accurate individual predictor was TT performance (overall predictive value = 76% for a cutoff value of 5.6 W·kg-1). However, some variables that did not reach statistical significance in univariate analyses contributed significantly to a multivariate model (R2 = .79, overall predictive value = 94%). Conclusions: Although different "classic" laboratory-based endurance indicators can predict the potential of reaching the professional category in U23 cyclists, a practical indicator such as 8-minute TT performance showed the highest prediction accuracy.eng
dc.description.filiationUEMspa
dc.description.impact3.5 Q1 JCR 2023spa
dc.description.impact1.388 Q1 SJR 2023spa
dc.description.impactNo data IDR 2023spa
dc.description.sponsorshipInstituto de Salud Carlos III (CD21/00138)spa
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness and Fondos Feder (CD21/00138)spa
dc.identifier.citationValenzuela, P. L., Alejo, L. B., Lucia, A., & Barranco-Gil, D. (2023). What does it take to become a professional cyclist? A laboratory-based longitudinal analysis in competitive young riders. International Journal of Sports Physiology and Performance, 18(11), 1275-1282. https://doi.org/10.1123/ijspp.2023-0083spa
dc.identifier.doi10.1123/ijspp.2023-0083
dc.identifier.issn1555-0265
dc.identifier.issn1555-0273
dc.identifier.urihttp://hdl.handle.net/11268/12768
dc.language.isoengspa
dc.peerreviewedSispa
dc.relation.publisherversionhttps://doi.org/10.1123/ijspp.2023-0083spa
dc.rights.accessRightsrestricted accessspa
dc.subject.otherCiclismospa
dc.subject.otherEntrenamiento de fuerzaspa
dc.subject.unescoAtletaspa
dc.subject.unescoAnálisis de datosspa
dc.subject.unescoDesarrollo fisiológicospa
dc.titleWhat Does It Take to Become a Professional Cyclist? A Laboratory-Based Longitudinal Analysis in Competitive Young Ridersspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublication8c9501c2-c3f1-4a7e-aa0d-a971fab26e06
relation.isAuthorOfPublicationd3691359-d7bd-4a12-b84e-338e28c81f9f
relation.isAuthorOfPublication68de99de-52a0-4d15-a265-0ae2b451167e
relation.isAuthorOfPublication.latestForDiscovery8c9501c2-c3f1-4a7e-aa0d-a971fab26e06

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