Article Data

  • Views 954
  • Dowloads 127

Original Research

Open Access Special Issue

Influence of Upper and Lower Body Anthropometric Measures on An Aggregate Physical Performance Score in Young Elite Male Soccer Players: A Case Study

  • Alessio Rossi1
  • Tindaro Bongiovanni2
  • Giulia Martera3
  • Luca Cavaggioni4,5,
  • F. Marcello Iaia4
  • Athos Trecroci4,*,

1Department of Computer Science, University of Pisa, 56126 Pisa, Italy

2Nutrition, Hydration & Body Composition Department, Parma Calcio 1913, 43044 Parma, Italy

3Nutrition Department, Spezia Calcio 1913, 19123 La Spezia, Italy

4Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy

5Department of Endocrine and Metabolic Diseases, Obesity Unit and Laboratory of Nutrition and Obesity Research, Istituto Auxologico Italiano IRCCS, 20095 Milan, Italy

DOI: 10.31083/j.jomh1807148 Vol.18,Issue 7,July 2022 pp.1-6

Published: 31 July 2022

(This article belongs to the Special Issue Sports training, recovery and nutrition in male athletes)

*Corresponding Author(s): Athos Trecroci E-mail: athos.trecroci@unimi.it

Abstract

Background: The present study aimed to determine the association of anthropometry-based characteristics with an aggregate score (AS) of physical performance in young elite soccer players. Methods: Sixteen under 15 elite players were enrolled. Among numerous anthropometrics variables, upper arm contracted (UACC) and relaxed circumference (UARC), corrected arm muscle area (AMAcorr), arm muscle circumference (AMC), thigh muscle circumference (TMC) and suprapatellar girths were also employed in this study. Players’ physical performance was assessed by the change of direction (COD), 10 m and 20 m sprint, countermovement jump (CMJ) test, sprint with 90° turns (with ball), and yo-yo intermittent recovery test level 1 (Yo-Yo IRT1). The AS was computed by Principal Components Analysis technique with one component on normalized performance results. A stepwise regression analysis was conducted to assess potential association between anthropometry-based variables and AS. Results: Large negative correlations (r < –0.68) of AS with UACC, UARC, AMAcorr, and AMC were detected. UACC and TMC permits to accurately estimate AS explaining 60% of the total variance (p < 0.001). Conclusions: These findings demonstrated the importance of including anthropometry-based measures of both upper and lower body to the physical performance potential expressed by AS in elite youth soccer.


Keywords

soccer; youth; body composition; morphology; physical performance


Cite and Share

Alessio Rossi,Tindaro Bongiovanni,Giulia Martera,Luca Cavaggioni,F. Marcello Iaia,Athos Trecroci. Influence of Upper and Lower Body Anthropometric Measures on An Aggregate Physical Performance Score in Young Elite Male Soccer Players: A Case Study. Journal of Men's Health. 2022. 18(7);1-6.

References

[1] Tereso D, Paulo R, Petrica J, Duarte-Mendes P, Gamonales JM, Ibáñez SJ. Assessment of body composition, lower limbs power, and anaerobic power of senior soccer players in Portugal: differ-ences according to the competitive Level. International Journal of Environmental Research and Public Health. 2021; 18: 8069.

[2] Bangsbo J, Hansen PR, Dvorak J, Krustrup P. Recreational football for disease prevention and treatment in untrained men: a narrative review examining cardiovascular health, lipid pro-file, body composition, muscle strength and functional capacity. British Journal of Sports Medicine. 2015; 49: 568–576.

[3] Eberl M, Tanaka LF, Klug SJ, Adamek HE. Football as a Health Promotion Strategy. Deutsches Arzteblatt international. 2019; 116: 721–728.

[4] Zouhal H, Hammami A, Tijani JM, Jayavel A, de Sousa M, Krustrup P, et al. Effects of Small-Sided Soccer Games on Phys-ical Fitness, Physiological Responses, and Health Indices in Un-trained Individuals and Clinical Populations: a Systematic Re-view. Sports Medicine. 2020; 50: 987–1007.

[5] Toselli S, Marini E, Maietta Latessa P, Benedetti L, Campa F. Maturity related differences in body composition assessed by classic and specific bioimpedance vector analysis among male elite youth soccer players. International Journal of Environmen-tal Research and Public Health. 2020; 17: 729.

[6] Nikolaidis PT, Vassilios Karydis N. Physique and body com-position in soccer players across adolescence. Asian Journal of Sports Medicine. 2011; 2: 75–82.

[7] Leão C, Camões M, Clemente FM, Nikolaidis PT, Lima R, Bez-erra P, et al. Anthropometric profile of soccer players as a deter-minant of position specificity and methodological issues of body composition estimation. International Journal of Environmental Research and Public Health. 2019; 16: 2386.

[8] Campa F, Semprini G, Júdice P, Messina G, Toselli S. An-thropometry, Physical and Movement Features, and Repeated-sprint Ability in Soccer Players. International Journal of Sports Medicine. 2019; 40: 100–109.

[9] Bongiovanni T, Trecroci A, Cavaggioni L, Rossi A, Perri E, Pasta G, et al. Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach. Research in Sports Medicine. 2021; 29: 213–224.

[10] Esco MR, Fedewa MV, Cicone ZS, Sinelnikov OA, Sekulic D, Holmes CJ. Field-Based Performance Tests are Related to Body Fat Percentage and Fat-Free Mass, but not Body Mass Index, in Youth Soccer Players. Sports. 2018; 6: 105.

[11] Hazir T. Physical Characteristics and Somatotype of Soccer Players according to Playing Level and Position. Journal of Hu-man Kinetics. 2010; 26: 83–95.

[12] Silva JR, Nassis GP, Rebelo A. Strength training in soccer with a specific focus on highly trained players. Sports Medicine-Open. 2015; 1: 17.

[13] Trecroci A, Duca M, Formenti D, Alberti G, Iaia FM, Longo S. Short-term compound training on physical performance in young soccer players. Sports. 2020; 8: 108.

[14] Chaouachi A, Chtara M, Hammami R, Chtara H, Turki O, Castagna C. Multidirectional sprints and small-sided games training effect on agility and change of direction abilities in youth soccer. Journal of Strength and Conditioning Research. 2014; 28: 3121–3127.

[15] O’Reilly J, Wong SHS. The development of aerobic and skill assessment in soccer. Sports Medicine. 2012; 42: 1029–1040.

[16] Turner AN, Jones B, Stewart P, Bishop C, Parmar N, Chavda S, et al. Total Score of Athleticism: Holistic Athlete Profiling to Enhance Decision-Making. Strength & Conditioning Journal. 2019; 41: 91–101.

[17] Gil SM, Gil J, Ruiz F, Irazusta A, Irazusta J. Physiological and anthropometric characteristics of young soccer players accord-ing to their playing position: relevance for the selection process. Journal of Strength and Conditioning Research. 2007; 21: 438–445.

[18] Teixeira AS, Valente-dos-Santos J, Coelho-E-Silva MJ, Malina RM, Fernandes-da-Silva J, Cesar do Nascimento Salvador P, et al. Skeletal Maturation and Aerobic Performance in Young Soc-cer Players from Professional Academies. International Journal of Sports Medicine. 2015; 36: 1069–1075.

[19] Montero I, León OG. A guide for naming research studies in psychology. International Journal of Clinical and Health Psy-chology. 2007; 7: 847–862.

[20] Munguia-Izquierdo D, Suarez-Arrones L, Di Salvo V, Paredes-Hernandez V, Alcazar J, Ara I, et al. Validation of Field Methods to Assess Body Fat Percentage in Elite Youth Soccer Players. International Journal of Sports Medicine. 2018; 39: 349–354.

[21] Frisancho AR. New norms of upper limb fat and muscle areas for assessment of nutritional status. The American Journal of Clinical Nutrition. 1981; 34: 2540–2545.

[22] Trecroci A, Rossi A, Dos’Santos T, Formenti D, Cavaggioni L, Longo S, et al. Change of direction asymmetry across different age categories in youth soccer. PeerJ. 2020; 8: e9486.

[23] Nimphius S, Callaghan SJ, Spiteri T, Lockie RG. Change of Di-rection Deficit: a more Isolated Measure of Change of Direction Performance than Total 505 Time. Journal of Strength and Con-ditioning Research. 2016; 30: 3024–3032.

[24] Nimphius S, Callaghan SJ, Bezodis NE, Lockie RG. Change of Direction and Agility Tests: Challenging our Current Measures of Performance. Strength & Conditioning Journal. 2017; 40: 26–38.

[25] Sporis G, Jukic I, Milanovic L, Vucetic V. Reliability and facto-rial validity of agility tests for soccer players. Journal of Strength and Conditioning Research. 2010; 24: 679–686.

[26] Bangsbo J, Iaia FM, Krustrup P. The Yo-Yo intermittent recov-ery test: a useful tool for evaluation of physical performance in intermittent sports. Sports Medicine. 2008; 38: 37–51.

[27] Bongiovanni T, Rossi A, Iaia FM, Alberti G, Pasta G, Trecroci A. Association of phase angle and appendicular upper and lower body lean soft tissue with physical performance in young elite soccer players: a pilot study. Journal of Sports Medicine and Physical Fitness. 2021. (in press)

[28] Bongiovanni T, Rossi A, Iaia FM, Di Baldassarre A, Pasta G, Manetti P, et al. Relationship of regional and whole body mor-phology to vertical jump in elite soccer players: a data driven ap-proach. Journal of Sports Medicine and Physical Fitness. 2021.(in press)

[29] Honorato R, Ferraz ASM, Kassiano W, Martins PC, Silva DAS, Ceccatto VM. Regional phase angle, not whole-body, is aug-mented in response to preseason in professional soccer players. Research in Sports Medicine. 2022. (in press)

[30] Barakat C, Pearson J, Escalante G, Campbell B, De Souza EO. Body Recomposition: can Trained Individuals Build Muscle and Lose Fat at the same Time? Strength & Conditioning Journal. 2020; 42: 7–21.

[31] McKeown I, Taylor-McKeown K, Woods C, Ball N. Athletic ability assessment: a movement assessment protocol for ath-letes. International Journal of Sports Physical Therapy. 2014; 9: 862–873.

[32] McCunn R, Aus der Fünten K, Govus A, Julian R, Schimpchen J, Meyer T. The intra- and inter-rater reliability of the soccer injury movement screen (sims). International Journal of Sports Physical Therapy. 2017; 12: 53–66.

[33] Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function- part 2. North American Journal of Sports Physical Therapy. 2006; 1: 132–139.

[34] Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function- part 1. North American Journal of Sports Physical Therapy. 2006; 1: 62–72.

[35] Bongiovanni T, Pintus R, Dessì A, Noto A, Finco G, Corsello G, et al. Sportomics: metabolomics applied to sports. The new revolution? European Review for Medical and Pharmacological Sciences. 2019; 23: 11011–11019.

[36] Pintus R, Bongiovanni T, Corbu S, Francavilla VC, Dessì A, Noto A, et al. Sportomics in professional soccer players: metabolomics results during preseason. The Journal of Sports Medicine and Physical Fitness. 2021; 61: 324–330.

[37] Kirchengast S. Gender Differences in Body Composition from Childhood to Old Age: an Evolutionary Point of View. Journal of Life Sciences. 2010; 2: 1–10.

[38] Emmonds S, Nicholson G, Begg C, Jones B, Bissas A. Impor-tance of Physical Qualities for Speed and Change of Direction Ability in Elite Female Soccer Players. Journal of Strength and Conditioning Research. 2019; 33: 1669–1677.


Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Directory of Open Access Journals (DOAJ) DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

SCImago The SCImago Journal & Country Rank is a publicly available portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.)

Publication Forum - JUFO (Federation of Finnish Learned Societies) Publication Forum is a classification of publication channels created by the Finnish scientific community to support the quality assessment of academic research.

Scopus: CiteScore 0.9 (2023) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Norwegian Register for Scientific Journals, Series and Publishers Search for publication channels (journals, series and publishers) in the Norwegian Register for Scientific Journals, Series and Publishers to see if they are considered as scientific. (https://kanalregister.hkdir.no/publiseringskanaler/Forside).

Submission Turnaround Time

Conferences

Top