Discriminant analysis of the speciality of elite cyclists

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Title: Discriminant analysis of the speciality of elite cyclists
Authors: Peinado Lozano, Ana Belén | Benito Peinado, Pedro José | Díaz Molina, Víctor | González Barbera, Coral | García Zapico, Augusto | Álvarez Sánchez, María | Maffulli, Nicola | Calderón Montero, Francisco Javier
Keywords: Physiological characteristics | Cycling | Specialists | Training
Knowledge Area: Educación Física y Deportiva
Issue Date: Sep-2011
Publisher: Universidad de Alicante. Área de Educación Física y Deporte
Citation: PEINADO, Ana B., et al. “Discriminant analysis of the speciality of elite cyclists”. Journal of Human Sport and Exercise [en línea]. Vol. 6, No. 3 (2011). ISSN 1988-5202, pp. 480-489. http://www.jhse.ua.es/index.php/jhse/article/viewArticle/150 [consulta: 10 octubre 2011]
Abstract: The different demands of competition coupled with the morphological and physiological characteristics of cyclists have led to the appearance of cycling specialities. The aims of this study were to determine the differences in the anthropometric and physiological features in road cyclists with different specialities, and to develop a multivariate model to classify these specialities and predict which speciality may be appropriate to a given cyclist. Twenty male, elite amateur cyclists were classified by their trainers as either flat terrain riders, hill climbers, or all-terrain riders. Anthropometric and cardiorespiratory studies were then undertaken. The results were analysed by MANOVA and two discriminant tests. Most differences between the speciality groups were of an anthropometric nature. The only cardiorespiratory variable that differed significantly (p<0.05) was maximum oxygen consumption with respect to body weight (VO2max/kg). The first discriminant test classified 100% of the cyclists within their true speciality; the second, which took into account only anthropometric variables, correctly classified 75%. The first discriminant model allows the likely speciality of still non-elite cyclists to be predicted from a small number of variables, and may therefore help in their specific training.
URI: http://hdl.handle.net/10045/18922
ISSN: 1988-5202
DOI: 10.4100/jhse.2011.63.01
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Publisher version: http://dx.doi.org/10.4100/jhse.2011.63.01
Appears in Collections:Revistas - Journal of Human Sport and Exercise - 2011, Vol. 6, No. 3

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