ORIGINAL PAPER
Anthropometric characteristics and aerobic performance of professional soccer players by playing position and age
1
University of Central Lancashire, Preston, United Kingdom
2
University of Central Lancashire, Pyla, Cyprus
Submission date: 2021-05-22
Acceptance date: 2021-10-17
Publication date: 2021-12-15
Hum Mov. 2022;23(4):44-53
KEYWORDS
TOPICS
ABSTRACT
Purpose:
This study examined the impact of playing position and age on professional soccer players’ anthropometric characteristics and aerobic performance.
Methods:
A total of 308 professional soccer players (25.42 ± 4.66 years, 178.88 ± 6.13 cm, 76.72 ± 7.05 kg) from the Eastern Mediterranean participated in the study. They were divided into 5 playing positions (defenders, midfielders, full-backs, forwards, wingers) and categorized into 3 age groups (18–24, 25–29, 30–35 years). Anthropometric variables were recorded. In addition, maximal cardiopulmonary exercise testing on a treadmill was performed to assess the players’ aerobic physical fitness.
Results:
A two-way MANOVA factorial analysis indicated that there was a significant main effect of playing position [F(12,25) = 9.34, p < 0.001] and age [F(6,548) = 6.80, p < 0.001] on the anthropometric characteristics of the players. Moreover, the multivariate analysis implied a significant main effect of age [F(4,448) = 4.47, p = 0.002] and a marginal significant effect of playing position [F(8,448) = 1.77, p = 0.81] on maximal oxygen consumption and run times. However, there was no significant interaction between playing position and age.
Conclusions:
The findings of the present study significantly contribute to understanding male soccer players’ age-related and performance characteristics in the Eastern Mediterranean region. Our results can be applied to ensure training specificity, aid in contract arrangements and player replacement, and identify the best players for particular playing positions.
This study examined the impact of playing position and age on professional soccer players’ anthropometric characteristics and aerobic performance.
Methods:
A total of 308 professional soccer players (25.42 ± 4.66 years, 178.88 ± 6.13 cm, 76.72 ± 7.05 kg) from the Eastern Mediterranean participated in the study. They were divided into 5 playing positions (defenders, midfielders, full-backs, forwards, wingers) and categorized into 3 age groups (18–24, 25–29, 30–35 years). Anthropometric variables were recorded. In addition, maximal cardiopulmonary exercise testing on a treadmill was performed to assess the players’ aerobic physical fitness.
Results:
A two-way MANOVA factorial analysis indicated that there was a significant main effect of playing position [F(12,25) = 9.34, p < 0.001] and age [F(6,548) = 6.80, p < 0.001] on the anthropometric characteristics of the players. Moreover, the multivariate analysis implied a significant main effect of age [F(4,448) = 4.47, p = 0.002] and a marginal significant effect of playing position [F(8,448) = 1.77, p = 0.81] on maximal oxygen consumption and run times. However, there was no significant interaction between playing position and age.
Conclusions:
The findings of the present study significantly contribute to understanding male soccer players’ age-related and performance characteristics in the Eastern Mediterranean region. Our results can be applied to ensure training specificity, aid in contract arrangements and player replacement, and identify the best players for particular playing positions.
REFERENCES (31)
1.
Botek M, Krejčí J, McKune AJ, Klimešová I. Somatic, endurance performance and heart rate variability profiles of professional soccer players grouped according to age. J Hum Kinet. 2016;54(1):65–74; doi: 10.1515/hukin-2016-0035.
2.
Strøyer J, Hansen L, Klausen K. Physiological profile and activity pattern of young soccer players during match play. Med Sci Sports Exerc. 2004;36(1):168–174; doi: 10.1249/01.MSS.0000106187.05259.96.
3.
Gregson W, Drust B, Atkinson G, Salvo VD. Match-tomatch variability of high-speed activities in Premier League soccer. Int J Sports Med. 2010;31(4):237–242; doi: 10.1055/s-0030-1247546.
4.
Castellano J, Blanco-Villaseñor A, Alvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med. 2011;32(6):415–421; doi: 10.1055/s-0031-1271771.
5.
Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med. 2007;28(12):1018–1024; doi: 10.1055/s-2007-965158.
6.
Parpa K, Michaelides MA. The effect of transition period on performance parameters in elite female soccer players. Int J Sports Med. 2020;41(8):528–532; doi: 10.1055/a-1103-2038.
7.
Carling C, Dupont G, Le Gall F. The effect of a cold environment on physical activity profiles in elite soccer match-play. Int J Sports Med. 2011;32(7):542–545; doi: 10.1055/s-0031-1273711.
8.
Petr M, Thiel D, Kvapilová K, Brož P, Malý T, Zahálka F, et al. Speed and power-related gene polymorphisms associated with playing position in elite soccer players. Biol Sport. 2022;39(2):355–366; doi: 10.5114/biolsport.2022.105333.
9.
Reilly T. Energetics of high-intensity exercise (soccer) with particular reference to fatigue. J Sports Sci. 1997;15(3):257–263; doi: 10.1080/026404197367263.
10.
Di Salvo V, Baron R, González-Haro C, Gormasz C, Pigozzi F, Bachl N. Sprinting analysis of elite soccer players during European Champions League and UEFA Cup matches. J Sports Sci. 2010;28(14):1489–1494; doi: 10.1080/02640414.2010.521166.
11.
Da Silva CD, Bloomfield J, Marins JC. A review of stature, body mass and maximal oxygen uptake profiles of U17, U20 and first division players in Brazilian soccer. J Sports Sci Med. 2008;7(3):309–319.
12.
Scoz RD , Oliveira Alves BM, Lima Burigo R, Vieira ER, Alves Ferreira LM, da Silva RA, et al. Strength development according with age and position: a 10-year study of 570 soccer players. BMJ Open Sport Exerc Med. 2021;7(1):e000927; doi: 10.1136/bmjsem-2020-000927.
13.
Hulse MA, Morris JG, Hawkins RD , Hodson A, Nevill AM, Nevill ME. A field-test battery for elite, young soccer players. Int J Sports Med. 2013;34(4):302–311; doi: 10.1055/s-0032-1312603.
14.
Bloomfield J, Polman R, Butterly R, O’Donoghue P. Analysis of age, stature, body mass, BMI and quality of elite soccer players from 4 European leagues. J Sports Med Phys Fitness. 2005;45(1):58–67.
15.
Bloomfield J, Polman R, O’Donoghue P. Physical demands of different positions in FA Premier League soccer. J Sports Sci Med. 2007;6(1):63–70.
16.
Bradley PS, Sheldon W, Wooster B, Olsen P, Boanas P, Krustrup P. High-intensity running in English FA Premier League soccer matches. J Sports Sci. 2009;27(2):159–168; doi: 10.1080/02640410802512775.
17.
Sal de Rellán-Guerra A, Rey E, Kalén A, Lago-Peñas C. Age-related physical and technical match performance changes in elite soccer players. Scand J Med Sci Sports. 2019;29(9):1421–1427; doi: 10.1111/sms.13463.
18.
Reilly T. Motion analysis and physiological demands. In: Reilly T (ed.), Science and soccer. London: E & FN Spon; 1996; 65–81.
19.
Marcos MA, Koulla PM, Anthos ZI. Preseason maximal aerobic power in professional soccer players among different divisions. J Strength Cond Res. 2018;32(2):356–363; doi: 10.1519/JSC.0000000000001810.
20.
Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gómez JM, et al. Bioelectrical impedance analysis – part I: review of principles and methods. Clin Nutr. 2004;23(5):1226–1243; doi: 10.1016/j.clnu.2004.06.004.
21.
Santos-Silva PR, Fonseca AJ, de Castro AW, D’Andréa Greve JM, Hernandez AJ. Reproducibility of maximum aerobic power (VO2max) among soccer players using a modified Heck protocol. Clinics. 2007;62(4):391–396; doi: 10.1590/s1807-59322007000400004.
22.
Sutton L, Scott M, Wallace J, Reilly T. Body composition of English Premier League soccer players: influence of playing position, international status, and ethnicity. J Sports Sci. 2009;27(10):1019–1026; doi: 10.1080/02640410903030305.
23.
Gil SM, Gil J, Ruiz F, Irazusta A, Irazusta J. Physiological and anthropometric characteristics of young soccer players according to their playing position: relevance for the selection process. J Strength Cond Res. 2007;21(2):438–445; doi: 10.1519/R-19995.1.
24.
Joksimović M, Skrypchenko I, Yarymbash K, Fulurija D, Nasrolahi S, Pantović M. Anthropometric characteristics of professional football players in relations to the playing position and their significance for success in the game. Pedagog Psychol Med Biol Probl Phys Train Sports. 2019;23(5):224–230; doi: 10.15561/18189172.2019.0503.
25.
Slimani M, Znazen H, Miarka B, Bragazzi NL. Maximum oxygen uptake of male soccer players according to their competitive level, playing position and age group: implication from a network meta-analysis. J Hum Kinet. 2019;66(1):233–245; doi: 10.2478/hukin-2018-0060.
26.
Carling C, Orhant E. Variation in body composition in professional soccer players: interseasonal and intraseasonal changes and the effects of exposure time and player position. J Strength Cond Res. 2010;24(5):1332–1339; doi: 10.1519/JSC.0b013e3181cc6154.
27.
Molinos Domene Á. Evaluation of movement and physiological demands of full-back and center-back soccer players using global positioning systems. J Hum Sport Exerc. 2013;8(4):1015–1028; doi: 10.4100/jhse.2013.84.12.
28.
Kalén A, Rey E, de Rellán-Guerra AS, Lago-Peñas C. Are soccer players older now than before? Aging trends and market value in the last three decades of the UEFA Champions League. Front Psychol. 2019;10:76; doi: 10.3389/fpsyg.2019.00076.
29.
Slimani M, Nikolaidis PT. Anthropometric and physiological characteristics of male soccer players according to their competitive level, playing position and age group: a systematic review. J Sports Med Phys Fitness. 2019;59(1):141–163; doi: 10.23736/S0022-4707.17.07950-6.
30.
Modric T, Versic S, Sekulic D. Aerobic fitness and game performance indicators in professional football players; playing position specifics and associations. Heliyon. 2020;6(11):e05427; doi: 10.1016/j.heliyon.2020.e05427.
31.
Bangsbo J, Mohr M, Krustrup P. Physical and metabolic demands of training and match-play in the elite football player. J Sports Sci. 2006;24(7):665–674; doi: 10.1080/02640410500482529.
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