Guidelines to Classify Subject Groups in Sport-Science Research

Kevin De Pauw; Bart Roelands; Stephen S. Cheung; Bas de Geus; Gerard Rietjens; Romain Meeusen

doi:10.1123/ijspp.8.2.111

journal article Mar 01, 2013

Guidelines to Classify Subject Groups in Sport-Science Research

Kevin De Pauw

Bart Roelands

Stephen S. Cheung

Bas de Geus Gerard Rietjens Romain Meeusen

International Journal of Sports Physiology and Performance Vol. 8 No. 2 pp. 111-122 · Human Kinetics

View at Publisher Save 10.1123/ijspp.8.2.111

Abstract

Purpose:The aim of this systematic literature review was to outline the various preexperimental maximal cycle-test protocols, terminology, and performance indicators currently used to classify subject groups in sportscience research and to construct a classification system for cycling-related research.Methods:A database of 130 subject-group descriptions contains information on preexperimental maximal cycle-protocol designs, terminology of the subject groups, biometrical and physiological data, cycling experience, and parameters. Kolmogorov-Smirnov test, 1-way ANOVA, post hoc Bonferroni (P< .05), and trend lines were calculated on height, body mass, relative and absolute maximal oxygen consumption (VO2max), and peak power output (PPO).Results:During preexperimental testing, an initial workload of 100 W and a workload increase of 25 W are most frequently used. Three-minute stages provide the most reliable and valid measures of endurance performance. After obtaining data on a subject group, researchers apply various terms to define the group. To solve this complexity, the authors introduced the neutral termperformance levels 1 to 5,representing untrained, recreationally trained, trained, well-trained, and professional subject groups, respectively. The most cited parameter in literature to define subject groups is relative VO2max, and therefore no overlap between different performance levels may occur for this principal parameter. Another significant cycling parameter is the absolute PPO. The description of additional physiological information and current and past cycling data is advised.Conclusion:This review clearly shows the need to standardize the procedure for classifying subject groups. Recommendations are formulated concerning preexperimental testing, terminology, and performance indicators.

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Details

Published: Mar 01, 2013
Vol/Issue: 8(2)
Pages: 111-122

Authors

Cite This Article

Kevin De Pauw, Bart Roelands, Stephen S. Cheung, et al. (2013). Guidelines to Classify Subject Groups in Sport-Science Research. International Journal of Sports Physiology and Performance, 8(2), 111-122. https://doi.org/10.1123/ijspp.8.2.111

Guidelines to Classify Subject Groups in Sport-Science Research

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