Abstract

Simple SummaryThere is a necessity to measure body asymmetries in road cycling as it can directly impact the performance level. The present study aimed to identify the morphological asymmetry profile of road cyclists. This study uses a novel 3D scanning method and electrical bioimpedance to investigate the impact of possible morphological asymmetries on performance in road cycling. The findings indicate that high-performance road cyclists are more symmetrical and have fewer morphological asymmetries than low-performance road cyclists.The aims of this study are: (1) to identify morphological asymmetries in road cycling by using a novel 3D scanning method and electrical bioimpedance, (2) to investigate possible asymmetries in road cyclists of low (LPG) and high (HPG) performance group, (3) to compare the number of morphological asymmetries between HPG and LPG of cyclists, and (4) to explore correlations between asymmetry scores and competition performance. Body composition and 3D anthropometric measurements were conducted on 48 top-level male road cyclists (178.98 ± 5.39 cm; 68.37 ± 5.31 kg) divided into high (n = 22) and low (n = 26) performance groups. Competition performance (CP) is represented through racing points gathered at the end of the competition season. The latter was used to divide road cyclists into low- and high-performing groups. One-way ANOVA was used to determine differences between groups, while paired-samples T-test and Absolute Asymmetry index (AA) were calculated (p ≤ 0.05) for paired variables inside the groups, and the Spearman correlation coefficient was used to explore correlations between AA and CP. Results showed statistically significant differences between the left and right side of different body segments (16 paired variables) among low-performing road cyclists in five paired variables of the upper body: elbow girth (4.35, p = 0.000), forearm girth (6.31, p = 0.000), arm surface area (2.54, p = 0.018), and arm volume (2.71, p = 0.012); and six paired variables of the lower body: leg lean mass (5.85, p = 0.000), leg length (3.04, p = 0.005), knee girth (4.93, p = 0.000), calf girth (5.25, p = 0.000), leg surface area (4.03, p = 0.000), and leg volume (5.3, p = 0.000). Altogether, the high-performing group of road cyclists statistically differed only in 2 out of 16 paired variables of the upper body: elbow girth (4.93, p = 0.000) and in forearm girth (5.12, p = 0.000). Low- and high-performing groups were statistically significantly different in the asymmetry of leg lean mass F(1,46) = 6.25, p = 0.016 and asymmetry of the calf girth F(1,46) = 7.44, p = 0.009. AA of calf girth on the total sample (n = 48) showed a significant correlation with CP (r = −0.461; p = 0.001). In conclusion, the study’s main finding was that high-performance road cyclists are more symmetrical than the low-performance group, for which it is significant to have a higher amount of morphological asymmetries.

Highlights

  • Professional road cycling represents an extreme endurance sport

  • Statistical significant differences between the left and right sides of different body segments among road cyclists were found in five paired variables of the upper body: elbow girth t(25) = 4.35. p = 0.000; forearm girth t(25) = 6.31. p = 0.000; arm surface area t(25) = 2.54. p = 0.018; and arm volume t(25) = 2.71. p = 0.012

  • The main findings were: (1) 3D body scanning method is a fast and useful method to detect asymmetries; (2) high-performance group (HPG) road cyclists are more symmetrical than the low-performance group (LPG); (3) the latter exhibited a higher number of morphological asymmetries; and (4) lower asymmetry of calf girth correlated with greater competition success in road cyclists

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Summary

Introduction

Elite athletes cycle approximately 30,000 to 35,000 km each year in training and competition, with some races, such as the Tour de France, lasting for 21 days and covering more than 3500 km [1]. They perform on a great variety of terrains (i.e., level vs uphill roads) and competitive situations (i.e., individual cycling or drafting behind numerous cyclists) [2]. Anthropometric characteristics, such as sums of particular skin folds, were shown to affect road cyclists’ split times, overall race time, and cycling speed [4,5]. It was reported that the advantage does not make up for the difference in frontal drag (energy cost) to smaller cyclists with respect to relative maximum oxygen uptake (energy supply), making smaller cyclists disadvantaged in flat time trials but benefiting from it in the climbing stages [7]

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