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Elsevier Editorial System(tm) for Science & Sports Manuscript Draft Manuscript Number: Title: Anthropometric parameters and leg power performance in fencing. Age, sex and discipline related differences. Article Type: Full Length Article Keywords: fencers; jumping performance; anthropometry. Corresponding Author: Prof. Charilaos Tsolakis, Ph.D Corresponding Author's Institution: School of Physical Education and Sports Science First Author: Anastasia Ntai, post-graduate student (master degree) Order of Authors: Anastasia Ntai, post-graduate student (master degree); Faye Zahou, post graduate student (master degree); Georgios Paradisis, PhD, Assistant Professor; Athanasia Smirniotou, PhD, Associate Professor; Charilaos Tsolakis, Ph.D Abstract: Abstract Objective The aim of this cross sectional study was to compare anthropometric, body composition, and leg power performance in male and female, elite, and national fencers of all age competitive groups and discipline practiced. Subjects and methods A total of 125 fencers (age 20.6 ± 6.7, height 173.2 ± 9.2 cm and body mass 64.7 ± 4.7 kg) participated in this study. Anthropometric measurements were taken before participants performed squat, countermovement, drop, and standing log jump. Results Significant differences were identified between male and female in anthropometry (Wilks Λ = 0.527, F= 15.008, p < 0.001, n2 = 0.473) and in leg jumping performance (Wilks Λ = 0.555, F= 7.691, p < 0.001, n2 = 0.445). Significant differences in jumping performance were observed between the older (>20 years old) and the younger (14-17, 18-20 years old) groups (Wilks Λ = 0.607, F = 2.654, p < 0.001, n2 = 0.217). Elite fencers performed better in squat, countermovement jump, and log jump than national level fencers (F = 6.239-7.926, p < 0.01, n2 = 0.0480.059). Significant differences were observed between disciplines for drop jump contact time (F = 3.910, p < 0.05, n2 = 0.059). Conclusion The observed differences in anthropometric measurements and leg power performance will facilitate the identification of the most suitable athletes and highlighted specific power abilities that could support the technical drills in competitive fencing.

a) Title/Authors/Address

Anthropometric parameters and leg power performance in fencing. Age, sex and discipline related differences.

Paramètres anthropométriques et performance de puissance en escrime. L’âge, le sexe et l'épreuve (la discipline) différences liées.

Leg power in fencing Puissance des jambs en escrime Anastasia Ntai, Fei Zahou, Giorgos Paradisis, Athanasia Smirniotou, Charilaos Tsolakis.

Department of Track & Field, Faculty of Physical Education and Sports Science, University of Athens, Ethnikis Antistasis 41, Dafni 17237, Greece, Corresponding author Tsolakis Charilaos PhD, +306932755173, e-mail address [email protected]

*b) Manuscript/Manuscrit

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Anthropometric parameters and leg power performance in fencing. Age, sex and discipline related

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differences.

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Abstract

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Objective

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The aim of this cross sectional study was to compare anthropometric, body composition, and leg power

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performance in male and female, elite, and national fencers of all age competitive groups and discipline

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practiced.

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Subjects and methods

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A total of 125 fencers (age 20.6 ± 6.7, height 173.2 ± 9.2 cm and body mass 64.7 ± 4.7 kg) participated

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in this study. Anthropometric measurements were taken before participants performed squat,

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countermovement, drop, and standing log jump.

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Results

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Significant differences were identified between male and female in anthropometry (Wilks Λ = 0.527, F=

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15.008, p < 0.001, n2 = 0.473) and in leg jumping performance (Wilks Λ = 0.555, F= 7.691, p < 0.001, n2

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= 0.445). Significant differences in jumping performance were observed between the older (>20 years

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old) and the younger (14-17, 18-20 years old) groups (Wilks Λ = 0.607, F = 2.654, p < 0.001, n2 = 0.217).

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Elite fencers performed better in squat, countermovement jump, and log jump than national level fencers

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(F = 6.239-7.926, p < 0.01, n2 = 0.048-0.059). Significant differences were observed between disciplines

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for drop jump contact time (F = 3.910, p < 0.05, n2 = 0.059).

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Conclusion

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The observed differences in anthropometric measurements and leg power performance will facilitate the

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identification of the most suitable athletes and highlighted specific power abilities that could support the

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technical drills in competitive fencing.

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Key words: fencers, jumping performance, anthropometry.

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Abstrait Objectifs

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Le but de cette étude transversale était de determiner l’ association entre la composition

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corporelle anthropométrique et la performance de puissance des jambes des escrimeurs

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masculins et féminins de niveau élite et national de tous les groupes d'âge compétitifs et de

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discipline pratiquée.

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Equipement et method

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Un total de 125 escrimeurs (âge 20,6 ± 6,7, hauteur de 173,2 ± 9,2 cm et masse corporelle de

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64,7 ± 4,7 kg) a participé à cette étude. Les mesures anthropométriques ont été prises avant que

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les participants effectuent squat, contremouvement jump et sauts en longueur à bas et des sauts à

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pieds joints et sans élan.

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Resultats

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Des différences statistiquement significatives ont été identifiées entre sujets masculin et feminins

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en anthropométrie (Wilks Λ = 0.527, F = 15.008, p < 0.001, n2 = 0.473) et en performance de

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saut de jambe (Wilks Λ = 0.555, F = 7.691, p < 0.001, n2 = 0.445 ). Des différences

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significatives dans la performance de saut ont été observées entre les groupes les plus âgés (> 20

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ans) et les (14-17, 18-20 ans) plus jeunes (Wilks Λ = 0.607, F = 2.654, p < 0.001, n2 = 0.217).

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Escrimeurs de niveau élite ont eu des meilleurs résultats en squat, en contre mouvement jump, et

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en saut en longueur que les escrimeurs de niveau national (F = 6.239 - 7.926, p < 0.01, n2 =

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0.048 -0.059). Des différences significatives ont été observées entre disciplines pour le temps de

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contact de drop jump (F = 3.910, p < 0.05, n2= 0.059).

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Conclusion

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Les différences observées dans les mesures anthropométriques et les performances de la

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puissance des jambes faciliteront l'identification des athlètes les plus appropriés et mettront en

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évidence les capacités de puissance spécifiques qui pourraient soutenir les exercices techniques

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en escrime compétitif.

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Mots cles: escrimeur, chaut performance, anthropometrie

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1. Introduction

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1.1 Various anthropometric, body composition and strength/physical parameters variables are important

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prerequisites for success in sport. Therefore, researchers have been investigating different sports to

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monitor and evaluate training interventions (1), talent identification (2), or to distinguish performance

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parameters between athletes from different sport, and disciplines within the same sport and playing

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position (3).

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1.2 Anthropometric characteristics related to optimal performance have been studied in different sports

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such as running (4), swimming (5),

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Moreover, elite athletes from different team sports and/or in relation to different playing positions (volley,

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basket ball, rugby, soccer, and handball), were reported to have favorable body characteristics (10-13).

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Body dimensions such as height, arm span, limp length, as well as BMI and body mass which are not

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affected by training, seem to be essential factors for high level performance. (14,15) On the other hand,

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some studies showed no significant differences in a) anthropometrics’ female water polo players (12),

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power lifters (16) cricket players (2) and ice hockey players, (17) and b) body composition in male

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ultramarathon cycling (18) between athlete’s levels.

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1.3 Gender differences are attributed to the normal growth process between males and females (19) while

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it is generally accepted that anthropometric, morphological and functional performance increase with age

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categories (20). However in open sports, athletes compete in a complex and rapid changing environment

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and the activity patterns are largely depending on a variety of others factors including skill heterogeneity,

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motivation, motor coordination, decision make, tactics (21), and therefore the determination of the ideal

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anthropometric and physiological demands remains unclear.

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1.4 The interaction of body size and strength is the most significant predictor of functional performance in

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adolescents (22). Body mass and BMI are related to muscle size and power and contribute to the within or

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between sport differences in many sports that require the development of high forces and power, in order

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to achieve explosive movements during the execution of the specific kinetic patterns (23). Vertical jump

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performance is a critical factor related to the competition outcome in many sports and should be

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developed from a younger age (24). Although jumping performance contribute to success in many

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individual and team sports, (19) a number of studies showed no significant differences in physiological

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parameters between positions in volleyball (3) gaelic football players (25) and football players (26).

gymnastics (6), rowing (7), triathlon (8), and wrestling (9).

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1.5 Fencing has been described as a high intensity intermittent sport with specific technical skills, tactical

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decisions, and physical performance. During competition, dynamic accurate offensive or defensive

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movements performed against the opponent depend on concentric explosive strength and fast stretch-

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shortening cycles of the lower limps (27). Long term fencing training can influence fencers’ lower limbs

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strength and power, therefore specifically for this reason designed programs implemented from an early

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stage of training simultaneously with the teaching of the individual basic kinetic patterns (28).

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1.6 Although success in sport competitions has been associated with specific anthropometric

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characteristics, anthropometric data for elite fencers are limited and mainly reported for descriptive

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purposes (29). It appears that only one study up to now has examined the anthropometric profile of elite

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fencers throughout age groups levels (30). In that study significant differences were observed between

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genders in all age groups >14 years for most anthropometric variables, while there were no significant

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differences between male and female fencers of 10-13 y of age. Moreover arm, leg length, and body

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composition parameters were not different between the four age groups in females. The non significant

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differences between the two older groups for both gender indicating a relative stability of the

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anthropometric characteristics after puberty. Training adaptations as reflected in leg CSA were evident

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from the early years and were increasing with age.

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1.7 Recently, scientific evidence determined the physiological (31) and neuromuscular differences (32) of

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elite fencers in comparison to novice fencers associated with functional fencing performance. However,

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no study has been found to compare anthropometric or physiological factors from different fencing

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disciplines (foil, epee or sabre) although, there are evident that fencers, empirically chooses their

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specialization based on their club offer or coaches’ interest (33).

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1.8 The purpose of this study was to determine anthropometric and motor performance status of fencers

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based on age group, gender, competition level and discipline. This is the first study that examined to what

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extend elite and national level fencers of different age groups, gender and discipline may differ in their

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body size and physiological profile. It was hypothesized that differences in anthropometric, body

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composition and leg power would exist between a) competitive age groups (14-17, 18-20, >20 years of

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age) b)gender (male –female), c) competitive level (elite – national level) and d) the discipline practiced

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(foil, epee, sabre) in a large group of fencers.

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practitioners to monitor and evaluate talent selection, to identify potential abilities of optimal performance

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and to examine and relative develop training interventions.

The comparative data of this study will help the

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2. Methods

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2.1 Experimental approach to the study

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This cross sectional experimental study was designed to examine anthropometrical, leg strength and,

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power differences in a large group of fencers. The examination of the anthropometric characteristics of

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fencers throughout age, gender, competition levels, and discipline groups may help fencing trainers to

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explain fencing performance from the structural perspective and may also provide useful information to

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the sport scientists for talent identification. Moreover, different jumping performance as an index of

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fencers’ leg power, would establish a useful fitness profile for the adequate programs design for each

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training level. We hypothesized that systematic fencing training from the very early stages (28), would

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lead to specific training adaptations regarding jumping performance. Additionally, the specific discipline

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characteristics and the necessary talent selection it is expected to lead to anthropometric and physiological

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differences respectively.

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2.2 Participants

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A total of 125 (69 males and 56 females) fencers were measured during an International Fencing camp

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held in Athens in July 2014. All participnats were members of the Greek, Tunisian, Algerian, Russian,

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Turkish, English and Australian National fencing teams, having considerable experience of international

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competitions. One of them was Olympic finalist, 5 were World Champions in junior category, 16 having

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European and international experience while the remaining 103 had adequate experience in National level

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competitions. The participants were also divided in three age groups according to the International

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Fencing Federation competitive rules (14-17, 18-20, and > 20 years old). The physical characteristics of

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the participants are shown in Table 1. The participants were training 5-6 times a week for approximately

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15-18 hours and participated in total to 3-5 training camps and 16-20 competitions per year. Prior to data

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collection, informed consent was obtained from each participant, after a thorough description of the risks

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being involved. The study was approved by the local Institutional Review Board and all procedures were

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in accordance with the Helsinki declaration of 1975, as revised in 1996. This study conducted during the

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last two weeks of a transitional training period, in which fencers engaged with specific conditioning

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aimed to improve aerobic fitness, muscle strength and power and contained alternatively, circuit training,

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sprint, jumping plyometric drills, and recreational team games (volleyball, football, basketball).

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Moreover, typical moderate to high intensity fencing training was devoted to specific leg exercises and

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specific technical and tactical fencing patterns.

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2.3 Procedures

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All measurements and tests were taken place in the fencing hall of the Athens Olympic Complex at the

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same time of the day (16:00 -20:00 pm). In the 24-hour period before performing the measurements and

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the tests, the fencers did not engage in any strenuous activity. Each fencer was instructed and verbally

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encouraged during each test to perform maximally at each trial. All measurements were made twice on

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the dominant side. In elite fencers leg dominance was defined with regard to the armed hand (34). The

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fencers were familiar with the jumping tests, since they often performed these exercises as a part of their

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weekly training as well as for monitoring their relative training adaptations. Each subject underwent all

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the tests during 1 session.

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2.4 Anthropometry

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All subjects were measured for their height, body mass, arm span and sitting height. Leg length was

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estimated as height minus sitting height. Body Mass Index (BMI) was calculated from body mass and

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height (Kg/m2). All measurements were taken twice from the dominant side of each subject. Subjects’

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height and body mass were measured to the nearest 0.1 cm and 0.1 kg, respectively.

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2.5 Jumping performance

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2.5.1 To evaluate overall jumping performance we selected squat jump (SJ), countermovement jump

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(CMJ), drop jump (DJ) and standing long jump (SLJ) as dependent variables, whereas gender, age

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competitive categories, competition levels and discipline as independent variables (3).

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2.5.2 Subjects were tested on their standing reach height with their arms down at the side before they

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performed a SJ, a CMJ, and a DJ from 40 cm . Vertical jumping performance was determined using a

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Chronojump device as described by Bosco, Luhtanen, and Komi (35).

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Reactive strength index (RSI), derived from the height achieved during the DJ divided by the ground cont

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act time (cm/sec) (36). For the standing long jump subjects were taken position behind the take – off

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line, with feet together opened slightly apart, and jumped forward as far as possible. The distance is

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measured from the take-off line to the heel closest to the take – off line at landing. All tests were

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performed twice and the best result was recorded for further statistical processing. A 30s rest between

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trials was used, while the rest between two consecutive tests was approximately 3 min.

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The test‐retest reliability for the SJ, CMJ, DJ and long jump tests was estimated to be 0.91, 0.97 0.89, and

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0.92 respectively (p< .001).

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2.6 Statistical analysis

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All data were analyzed using SPSS (version 19). Data are presented as means and standard deviation. A

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multivariety analysis of variance (MANOVA) was used to evaluate differences in gender (male – female),

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age competitive categories (14-17, 18-20, >20 years old), competition levels (international – national) and

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discipline (epee – foil – sabre) for all anthropometric and body composition parameters (height, body

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mass, arm span, leg length, BMI) or jumping performance (SJ, CMJ, DJ, SLJ). Significant main effects

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were followed by Bonferroni adjusted post hoc tests to examine the differences within groups. Effect

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sizes for main effects and interaction were estimated by calculating partial eta squared (η 2) values.

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According to Richardson (37), η2is classified as small (0.01 to 0.059), moderate (0.06 to 0.137) and large

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( ≥0.138). Test–retest reliability for all the dependent variables measured in this investigation was

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determined in separate experiments by calculating the intraclass correlation coefficient (ICC) using a 2-

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way mixed model. For each analysis statistical significance was set at the α  0.05 probability level.

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3 Results

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3.1 Anthropometric measurements

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3.1.1 The MANOVA revealed a significant multivariate effect for gender (Wilks Λ = 0.527, F= 15.008, p

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< 0.001, n2 = 0.473). Significant between subjects effects for gender were observed (F = 10.122 - 69.470,

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p < 0.001, n2 = 0.076 - 0.300) for height (177.6 ± 8.9 cm vs 167.9 ± 6.2 cm, p < 0.001), body mass (70.4

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± 11.9 Kg vs 57.6 ± 7.0 Kg, p < 0.001) arm span (181.8 ± 9.7 cm vs 168.8 ± 7.2 cm, p < 0.001), leg

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length (88.9 ± 6.4 cm vs 81.7 ± 4.3 cm , p < 0.001) and Body mass index (22.2 ± 3.0 vs 20.5 ± 2.1, p
14 years old for most anthropometric variables.

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4.5 Similar results were found in the present study confirming the expected anthropometric between

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gender differences, as well as the anthropometric annual increases between the age competitive groups. It

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is well known that physical size of elite athletes increased remarkably longitudinally over time (39),

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however the comparable results of the two cross-sectional fencing studies reflect that the selection

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procedures in Greece identified similar body types for fencing over the last decade (30). Since

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anthropometric trends and maturation process seem to be identically similar, other factors such as muscle

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power and technique training must be under evaluation in order to improve fencing performance

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especially in younger age group of fencers.

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4.6 Moreover, international fencers of the present study were significantly taller and heavier than the

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national fencers, confirming others results in different sports in young (10) or adults subjects (1). These

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results are in contrast with previous of Tsolakis and Vagenas (31) who found that anthropometrics were

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not different between elite and novice fencers, although in all measurements a non significant superiority

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was reported in favor of elite fencers. Even though Tsolakis, Bogdanis and Vagenas (30) found that

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fencing performance was not predicted by none of the non-trainable parameters such as height, arm span

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and leg length respectively, the finding of the present study suggest that size and body mass are important

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factors associated to success in fencing and this would be a permanent demand throughout the early years

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of training.

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4.7 Interestingly, no study to date has described the anthropometric differences between fencers from

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different disciplines. Physical characteristics in sports such as stature and body mass can differentiate

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among position demands and can provide assist to coaches in order to identify athletes for a specific

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discipline (7,12). However, the findings of the present study reported that fencers from an anthropometric

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point of view were similar regardless of event specialization. This likely reflects a high consistency in

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body anthropometry between fencing disciplines. Since anthropometrics and physical measures are not

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always consistent parameters more studies needed in order identify other determinant of excellence

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beyond the physique of athletes.

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4.8 Explosive power has been extensively studied as a successive factor in many athletic activities (and

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long and vertical jumps are commonly used to asses lower body explosive power in young as well as in

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adults population (40). Power measures of jumping performance vary among sports and distinguish elite

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from novice athletes although other factors such age, gender, level of competition, and discipline in a

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certain level influence power performance (9). Leg power in fencing has been extensively studied

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recently. It has been reported that leg power is affected by isometric contractions or long period of

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stretching protocols (41, 42), is not affected by dynamic or plyometric protocols (41, 42), and can

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differentiate elite from non – elite fencers (31). Fast stretch-shortening cycles of the leg muscles have

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been associated to the functional fencing performance and are important in maximizing leg functional

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power characteristics in elite fencers (27). Vertical jumping performance changed significantly over time,

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however no differences reported between peripubertal academies fencers and a control group consisted of

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untrained pupils of the same age (30).

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4.9 Strength gains and gender differences are closely related to the age and the growth and development

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rates of the participants (39). In the present study as expected, significant between gender differences

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existed in leg power performance characteristics. Significant differences were also observed between the

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older (>20 years old) and the younger groups (14-17, 18-20 years old) reflecting a progressive

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improvement with increasing age (39). The interaction of the gender differences and the developmental

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data profile concerning leg power could be useful information for coaches and scientists to design

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appropriate training programs for this age groups of fencers.

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4.10 Significant differences were observed in power performance tests between athletes of different levels

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(9). As expected elite fencers of the present study were stronger and produced more leg power than

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national level fencers. Similar results were also observed recently (31) suggesting that advanced

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neuromuscular abilities will facilitate e different technical drills and tactical strategies adaptations in the

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competitive routine of elite fencers (29)

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4.11 Given the major role of leg power in fencing and the unpredictable activity patterns of the different

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events taking also into consideration the large number of technical skills and tactical behavior of the

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players, it is difficult to determine the physiological demands and physical performance prerequisites in

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fencing. A large number of studies reported significant between positions differences in many team sports

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or weight categories within an individual sport (13,38) On the other hand other studies found no

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positional differences in CMJ and DJ of football players and throwing velocity in water polo players

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respectively (12,25). Up to our knowledge there is a lack of information in power performance of

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technical sports with different competitive rules (e. g free style and Greco – Roman wrestling, martial arts

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of the same weight category, fencing etc). In the present study leg power performance was quite similar

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between the three different fencing events. However, the drop jump contact time of epee players was the

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only parameter that showed significantly different values in comparison to foil fencers, revealing special

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physical performance abilities required for successful participation in this event. This event is

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characterized by longer work time and more changes of direction in comparison to foil, while during the

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competition fencers repeat submaximal bounces instead of fencing steps that are common in foil (29).

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Another possible reason is that epee fencers of the present study were taller and heavier and have greater

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but non-significant scores in almost all power performance tests than foilists.

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5. Conclusions

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5.1 In summary, this is the first study that evaluated body size, body composition parameters and leg

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power performance ability of male and female fencers, with particular emphasis on competitive age

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groups, competition level, and discipline. We observed significant between gender differences in all the

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anthropometric and body composition characteristics and confirmed that anthropometric characteristics

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increased across age categories. Elite fencers demonstrated specific characteristics compared to national

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fencers, while fencers from different disciplines were quite similar in body size. Vertical and horizontal

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jumping performance differences between gender, age groups, competition level and partly between

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disciplines of the present study, revealing specific abilities required to characterize the functional profile

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requirements for fencing success.

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5.2 The results of the present cross sectional study showed that anthropometric and leg power measures

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could play a role in talent identification programmes for fencing as well as for the monitoring of training.

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More specific, talent identification programmes could focus on selecting tall explosive individuals

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without excessive body mass, with long limbs and strength -power abilities that could support the

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technical drills and tactical decisions of the fencers. However, longitudinal research is needed to better

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understand the influence of growth and maturation into these parameters and to inform sport specialists to

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design positions based on the findings described in this study. This will facilitate the identification of the

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most suitable athletes for optimal fencing performance.

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6. Acknowledgements

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This study was supported by grants from the IOC Olympic Solidarity. The authors thank Hellenic

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Olympic Committee and the Hellenic Fencing Federation for their support of the project. Moreover,

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authors thank all study participants and their respective clubs for their valuable effort and engagement.

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7. Disclosure of interest

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The authors declare that they have no conflict of interest concerning this article

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8. References

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1. Zampagni ML, Casino D, Benelli P, Visani A, Marcacci, M, De Vito G. Anthropometric and

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strength variables to predict freestyle performance times in elite master swimmers. J Strength

372

Cond Res 2008; 22(4): 1298–1307.

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2. Peyer KL, Pivarnik JM, Eisenmann JC, Vorkapich M. Physiological characteristics of National

374

Collegiate Athletic Association (NCAA) division I ice hockey players and their relation to game

375

performance. J Strength Cond Res 2011; 25(5): 1183–1192.

376 377

3. Sattler T, Sekulic D, Hadzic V, Uljevic O, Dervisevic, E. Vertical jumping tests in volleyball: reliability, validity, and playing position specifics. J Strength Cond Res 2012; 26(6): 1532–1538.

378

4. Dellagrana RA, Guglielmo LGA, Santos BV, Hernandez SG, Da Silva SG, Campos W.

379

Physiological, anthropometric, strength, and muscle power characteristics correlates with running

380

performance in young runners. J Strength Cond Res 2015; 29(6): 1584–1591.

381 382

5. Geladas ND, Nassis GP, Pavlicevic S. Somatic and physical traits affecting sprint swimming performance in young swimmers. Int J Sports Med 2005; 26: 139–144.

383

6. Claessens AL, Lefevre J, Beunen G, Malina, RM. The contribution of anthropometric

384

characteristics to performance scores in elite female gymnasts. J Sports Med Phys Fitness 1999;

385

39: 355–360.

386 387 388 389

7. Mikulic P, Ruzic L. Predicting the 1000m rowing ergometer performance in 12-13-year-old rowers: The basis for selection process? J Sci Med Sport 2008; 11: 218-226. 8. Brunkhorst L, Kielstein H. Comparison of anthropometric characteristics between professional triathletes and cyclists Biol. Sport 2013; 30: 269-273.

390

9. Garcıa Pallares J, Lopez-Gullon JM, Torres-Bonete MD, Izquierdo M. Physical fitness factors to

391

predict female Olympic wrestling performance and sex differences. J Strength Cond Res 2012;

392

26(3): 794–803.

393

10. Gravina L, Gil SM, Ruiz F, Zubero J, Gil J, Irazusta, J. Anthropometric and physiological

394

differences between first team and reserve soccer players aged 10–14 years at the beginning and

395

end of the season. J Strength Cond Res 2008; 22(4): 1308–1314.

396

11. Delahunt E, Byrne RB, Doolin RK, Mc Inerney RG, Ruddock CTJ, Green BS. Anthropometric

397

profile and body composition of Irish adolescent rugby union players aged 16–18. J Strength

398

Cond Res 2013; 27(12): 3252–3258.

13

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

399

12. Martınez JG, Vila MH, Ferragut C, Noguera MM, Abraldes JA, Rodrıguez N, Freeston J, Alcaraz

400

PEet al. Position specific anthropometry and throwing velocity of elite female water polo players.

401

J Strength Cond Res 2015; 29(2): 472–477.

402

13. Kruger K, Pilat C, Ueckert K, Frech T, Mooren, FC. Physical performance profile of handball

403

players is related to playing position and playing class. J Strength Cond Res 2014; 28(1): 117–

404

125.

405

14. Potteiger JA, Smith DL, Maier ML, Foster TS. Relationship between body composition, leg

406

strength, anaerobic power, and on-ice skating performance in division I men’s hockey athletes. J

407

Strength Cond Res 2010; 24(7): 1755–1762.

408

15. Bayios IA, Bergeles NK, Apostolidis NG, Noutsos KS, Koskolou MD. Anthropometric, body

409

composition and somatotype differences of Greek elite female basketball, volleyball and handball

410

players. J Sports Med Phys Fitness 2006; 46: 271–280.

411 412

16. Keogh JWL, Hume PA, Pearson SN., Mellow P. Anthropometric dimensions of male powerlifters of varying body mass. J Sport Sci, 2007; 25(12): 1365–1376.

413

17. Agre JC, Casal DC, Leon AS, McNallay C, Baxter TL, Serfass, RC. Professional ice hockey

414

players: Physiologic, anthropometric, and musculoskeletal characteristics. Arch Phys Med

415

Rehabil 1998; 69: 188–192.

416

18. Knechtle B, Wirth A, Knechtle P, Rosemann T. Training volume and personal best time in

417

marathon, not anthropometric parameters, are associated with performance in male 100-km

418

ultrarunners. J Strength Cond Res 2010; 24(3): 604–609.

419 420

19. Meylan CMP, Cronin JB, Oliver JL, Rumpf MC. Sex related differences in explosive actions during late childhood. J Strength Cond Res 2014; 28(8): 2097–2104.

421

20. Till K, Jones B, Emmonds S, Tester E, Fahey J, Cooke, C. Seasonal changes in anthropometric

422

and physical characteristics within English academy rugby league players. J Strength Cond Res

423

2014; 28(9): 2689–2696.

424

21. Pion JA, Fransen J, Deprez DN, Segers VI, Vaeyens R, Philippaerts RM, et al. Stature and

425

jumping height are required in female volleyball, but motor coordination is a key factor for future

426

elite success. J Strength Cond Res 2015; 29(6): 1480–1485.

427 428

22. Jaric, S. Role of body size in the relation between muscle strength and movement performance. Exerc Sport Sci Rev 2003; 31: 8–12.

429

23. Malina RM, Eisenmann JC, Cumming SP, Ribeiro B, Aroso, J. Maturity-associated variation in

430

the growth and functional capacities of youth football (soccer) players 13-15 years. Eur J Appl

431

Physiol 2004; 91: 555–562.

14

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

432

24. Temfemo A., Hugues J, Chardon K, Mandengue S-H. Ahmaidi S. Relationship between vertical

433

jumping performance and anthropometric characteristics during growth in boys and girls. Eur J

434

Pediatr 2009; 168(4): 457-464.

435 436

25. Cullen BD, Cregg CJ, Kelly DT, Hughes SM, Daly PG, Moyna, NM. Fitness profiling of elite level adolescent Gaelic football players. J Strength Cond Res 2013; 27(8) : 2096 – 2103.

437

26. Rienzi E, Drust B, Reilly T, Carter JE, Martin A. Investigation of anthropometric and work-rate

438

profiles of elite South American international soccer players. J Sports Med Phys Fitness 2000; 40:

439

162-169.

440 441

27. Tsolakis C, Kostaki E, Vagenas, G. Anthropometric, flexibility, strength-power, and sportspecific correlates in elite fencing. Percept Mot Skills 2010; 110: 1015–1028.

442

28. Tsolakis C, Bogdanis G, Vagenas G and Dessypris A. Influence of a 12-month conditioning

443

program on physical growth, serum hormones and neuromuscular performance of peripubertal

444

male fencers. J Strength Cond Res 2006; 20(4): 908-914.

445 446 447 448 449 450

29. Roi GS, Bianchetti D. The science of fencing: implications for performance and injury prevention. Sports Med. 2008; 38(6): 465–81. 30. Tsolakis C, Bogdanis G, Vagenas G Anthropometric profile and limb asymmetries in young male and female fencers. J Hum Mov Stud. 2006; 50: 201-216. 31. Tsolakis C Vagenas G. Anthropometric, physiological and performance characteristics of elite and sub-elite fencers. J Hum Kinet 2010; 23: 89–95.

451

32. Gulheim GC, Giroux C, Couturier A, Chollet D, d Rabita G. Mechanical and Muscular

452

Coordination Patterns during a High-Level Fencing Assault. Med Sci Sports Exerc 2014; 46 (2):

453

341–350.

454

33. Turner A, James N, Dimitriou L, Greenhalgh A, Moody J, Fulcher et al Determinants of Olympic

455

fencing performance and implications for strength and conditioning training. J Strength Cond Res

456

2014; 28(10): 3001–3011.

457 458 459 460 461 462 463 464

34. Poulis I, Chatzis S, Christopoulou K, Tsolakis C. Isokinetic strength during knee flexion and extension in elite fencers. Percept Mot Skills 2009; 108: 949-861. 35. Bosco C, Luhtanen P. Komi PV. A simple method for measurement of mechanical power in jumping. Eur J Appl Physiol 1983; 50: 273-282. 36. Young W, McLean B, Ardagna J. Relationship between strength qualities and sprinting performa nce. J Sports Med Phys Fitness 1995; 53: 13‐19. 37. Richardson, J.T.E. Eta squared and partial eta squared as measures of effect sizes in educational research. Educ Res Rev 2011; 6: 135-147.

15

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

465 466 467 468 469 470

38. Gualdi-Russo E, Zaccagni L Somatotype, role and performance in elite volleyball players. J Sports Med Phys Fitness 2001; 41: 256-262. 39. Malina R, Bouchard C, Bar-Or, O. Growth, Maturation, and Physical Activity. Champaign, IL: Human Kinetics 2004. 40. Markovic G, Jaric S. Is vertical jump height a body size-independent measure of muscle power? J Sports Sci, 2007; 25 (12): 1355-1363.

471

41. Tsolakis C, Bogdanis GC, Nikolaou A, Zacharogiannis E. Influence of type of muscle contraction

472

and gender on postactivation potentiation of upper and lower limb explosive performance in elite

473

fencers. J Sports Sci Med 2011; 10: 577–583.

474 475

42. Tsolakis C, Douvis A, Tsigganos G, Zacharogiannis E, Smirniotou A. Acute effects of stretching on flexibility, power and sport specific performance in fencers. J Hum Kinet 2010; 26: 105–114.

476 477

16

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

478 479

Τable 1 Anthropometric characteristics between the different age groups 14-17 years old

18-20 years old

>20 years old

Height (cm)

170.5±1.3

173.2±1.3

176±1.3**

Weight (kg)

60±1.6

64.5±2.0

69.4±1.6***

Arm Span (cm)

173.5±1.6

175.2±1.9

179.0±1.5*

Leg Length

85.5±1.0

84.8±1.2

86.5±1.0

Body Mass Index

20.5±0.4

21.5±0.5

22.3±0.4**

480 481

14-17 years old group vs >20 years old group *p