Athanasios Tsoukos, Sotirios Drikos, Lee E. Brown, Konstantinos Sotiropoulos, Panagiotis Veligekas and Gregory C. Bogdanis
research has shown that anthropometric and physical variables are able to discriminate players as starters vs. non-starters or selected vs. non-qualified ( Gabbett et al., 2007 ; Milic et al., 2017 ; Smith et al., 1992 ). For example Lidor and Ziv (2010b) , in a review of literature, concluded that anthropometric data were correlated with volleyball skills’ proficiency and game performance, especially in female players. Furthermore, Gabbett and Georgiev (2007) highlighted the importance of anthropometric characteristics in junior volleyball players, by showing that as
., 2012. Anthropometric variance in humans: Assessing Renaissance concepts in modern applications. Anthropological Notebooks, 18(3), pp. 13.
McDOWELL, M.A., FRYAR, C.D., OGDEN, C.L. and FLEGAL, K.M., 2008. Anthropometric Reference Data for Children and Adults: United States, 2003-2006. 10. National Health Statistics Report: U.S. Department of Health and Human Services.
PANOFSKY, E., 1955. The Life and Art of Albrecht Dürer. IV. edn. New Jersey, USA: Princeton University Press.
THIBAULT D’ ANVERS, G., 1630, Academy of the
Nikiforos Giannopoulos, George Vagenas, Konstantinos Noutsos, Karolina Barzouka and Nikolaos Bergeles
Performance in team sports is traditionally linked with the physical abilities and the technical skills of the players. As early as in 1970, a seminal research on the topic supported the hypothesis that physique was selective of athletic performance ( Carter, 1970 ). In volleyball, numerous studies have indicated that male and female players exhibit significant differences in anthropometric variables and somatotype components either between divisions or various levels of competition ( Gualdi-Russo and Zaccagni, 2001 ; Malousaris et al., 2008
Katarzyna Witek, Krzysztof Mazurek, Anna Mróz, Anna Czajkowska and Anna Kęska
Study aim: the aim of study was assessment somatic features and selected cardio-ventilatory indices in men above 50 years old with different physical activity levels.
Materials and methods: the study included 55 men on average aged 54.5 ± 4.32, classified to the trained group (T), n = 33, and not trained group (NT), n = 22. Total physical activity was assessed using the SDPAR Questionnaire. Measurements: anthropometric indices, ventilatory indices and VO2 peak, hemodynamic indices and fatigue using Borg scale during exercise maximal test.
Results: daily energy expenditures for sport and recreation differ significantly between T and NT groups, 6.82 METs vs. 0.2 METs, respectively (p < 0.001). Men in T and NT groups significantly differ in somatic features, and cardio-pulmonary indices including: time of physical tests effort (s) 1103 ± 193 vs. 681 ± 328; max speed (km/h) 14 ± 1.5 vs. 10 ± 1.4, VE peak 135.9 ± 21.17 l/min vs. 112.9 ± 21.49 l/min; VO2 peak 61.8 ± 8.83 ml/kg/min vs. 41.9 ± 8.55 ml/kg/min; HR rest (beat/min) 69 ± 16.95 vs. 83 ± 14.48; HR peak (beat/min) 171 ± 1.23 vs. 163 ± 15.28; SV peak (ml) 162 ± 24.23 vs. 135 ± 33.22; CO peak 27.4 ± 4,3 vs. 21.6 ± 5.17.
Conclusions: men aged 50+ who practice running training differ favourably and significantly from men not trained in anthropometric as well as cardio-ventilatory indices. Significant correlations were found between DEE and FAT(%), VO2 peak (ml/kg/min), SV peak (ml) and COpeak (l/min) as well between CO peak and VO2peak was record linear relationship (r = 0.56).
Ileana-Monica Popovici, Lucian Popescu and Liliana-Elisabeta Radu
1. Canhadas I.L., Lopez R., Silva P., Rodrigures C., Leslie C., Portes A. (2010). Anthropometric and physical fitness characteristics of young male soccer player, Rev. Bras. Cineantropom. Desempenho Hum., 12(4), pp. 239-245.
2. Cordova A., Villa G., Sureda A., Rodriques-Marrovo J.A., Sanchez-Collado M.P. (2012). Physical Activity and Cardiovascular Risk Factors in Spanish Children Aged 11-13 Years, Rev. Esp. Cardiol., 65(7), pp. 620-6.
3. Cordun M. (2009). Kinantropometrie , Editura CD Press, Bucureşti (in Romanian).
Fernando Pareja-Blanco, Luis Suarez-Arrones, David Rodríguez-Rosell, Manuel López-Segovia, Pedro Jiménez-Reyes, Beatriz Bachero-Mena and Juan José González-Badillo
., 2010 ; Lopez-Segovia et al., 2015 ). It is suggested that a high muscle mass percentage and low adiposity are likely to be beneficial to physical performance of soccer players ( Arnason et al., 2004 ). However, the relationships between anthropometrics and RSA performance have been little studied ( Brocherie et al., 2014 ; Buchheit & Mendez-Villanueva 2014 ). Buchheit and MendezVillanueva (2014 ) showed that changes in the sum of 7 skinfolds were negatively related to the changes in the mean time of the RSA test (RSA mean ), and did not correlate with changes in
Leonardo V Andreato, Jonatas FS Santos, João VDC Esteves, Valeria LG Panissa, Ursula F Julio and Emerson Franchini
confidence interval (95% CI), range (minimum and maximum) and the percentage. Reliability for each test was calculated using the intraclass correlation coefficients (ICC), standard error of measurement (SEM) and limits of agreement (LOA). Normality was assessed with the use of the Shapiro-Wilk test and Pearson’s or Spearman’s correlations coefficients were calculated in order to examine the relationships between variables. The level of significance was set at 5%.
Table 1 shows anthropometric characteristics of the Brazilian jiu-jitsu athletes. The
Alejandro Vaquera, Santiago Santos, José Gerardo Villa, Juan Carlos Morante and Vicente García-Tormo
Cejuela R, Pérez JA, Cortell JM, Chinchilla JJ, Rivas J, Villa JG, Rodríguez-Marroyo JA. Correlation between anthropometric parameters, jump power and position occupied in the field of professional basketball players. In Ibáñez SJ, and Macías MM. (Editors). IV Iberian Basketball Congress. Cáceres; 2007
Cormery B, Marcil M, Bouvard M. Rule change incidence on physiological characteristics of elite basketball players: a 10-year-period investigation. Brit J Sport Med , 2008; 42(1): 25-30
Delextrat A, Cohen D. Physiological testing of
Oľga Kyselovičová, Jana Labudová, Erika Zemková, Dušana Čierna and Michal Jeleň
1. ALEKSANDREVICIENE, R., K. ZAICENKOVIENE, L. STASIULE & A. STASIULIS, 2015. Physiological responses and energetics of competitive group exercise in female aerobic gymnasts with different levels of performance. Perceptual & Motor Skills: Motor Skills & Ergonomics. 120(3), 787-803.
2. ALEXANDER, M. J. 1991. Physiological characteristics of elite and sub-elite rhythmic gymnastics. Journal of Human Movement Studies. 20, 99-127.
3. ARAZI, H., H. FARAJI & M. MEHRTASH, 2013. Anthropometric and
Jasmina Pluncevic-Gligoroska, Lidija Todorovska, Beti Dejanova, Vesela Maleska, Sanja Mancevska and Slobodan Nikolic
1. Reilly T, Bangsbo J, Franks A. Anthropometric and physiological predispositions for elite soccer. J Sports Sci. 2000; 18(9): 669–683.
2. Meszaros T, Mohacsi J, Szabo T, Szmodis I. Anthro pometry and competitive sport in Hungary. Acta Biol Szeged. 200; 44 (1–4): 189–192.
3. Bell W, Rhodes G. The morphological characteristics of the association football player. Journal of Sports Medicine & Physical Fitness. 1975; 20: 196–200.
4. American College of Sports Medicine position stand (ACSM). (2009). Nutrition and athletic performance. Medicine