Anthropometric and Functional Profile of Selected vs. Non-Selected 13-to-17-Year-Old Soccer Players

Nughes, Erik; Rago, Vincenzo; Aquino, Rodrigo; Ermιdis, Georgios; Randers, Morten B.; Ardigò, Luca Paolo

doi:10.3390/sports8080111

Cited by 14 publications

(20 citation statements)

References 42 publications

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“…As regards the anthropometric parameters, the selected players were generally taller compared to their non-selected counterparts, even is significant differences were observed only in U12 and U14 categories. This is in line with previous research showing that adult players attaining higher levels of play were, on average, substantially differentiated from amateur players in height as well as body mass [ 23 , 43 ].…”

Section: Discussionsupporting

confidence: 92%

“…Considering the difference from elite and non-elite groups, from the results emerged that all the physical performance variables showed significant differences between the two groups in each age category. This confirm that high-intensity activities are fundamental aspects for performance in soccer [ 43 , 46 ]. The elite players were capable of higher acceleration over 15 m than non-elite players.…”

Section: Discussionsupporting

confidence: 73%

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Assessment of Body Composition and Physical Performance of Young Soccer Players: Differences According to the Competitive Level

Toselli

Grigoletto

Cataldi

et al. 2022

Biology

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Soccer is a multifactorial sport, in which players are expected to possess well developed physical, psychological, technical, and tactical skills. Thus, the anthropometric and fitness measures play a determinant role and could vary according to the competitive level. Therefore, the present study aimed to verify differences in body composition and physical performance between two soccer team. 162 young soccer players (from the Under 12 to Under 15 age categories; age: 13.01 ± 1.15 years) of different competitive levels (elite—n = 98 and non-elite—n = 64) were recruited. Anthropometric characteristics (height, weight, lengths, widths, circumferences, and skinfold thicknesses (SK)), bioelectrical impedance, physical performance test as countermovement jump (CMJ), 15 m straight-line sprints, Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo), and 20 + 20 m repeated-sprint ability (RSA)) were carried out. In addition, Body mass index (BMI), body composition parameters (percentage of fat mass (%F), Fat mass (FM, kg), and Fat-free mass (FFM, kg)) and the areas of the upper arm, calf and thigh were calculated, and the Bioelectric Impedance Vector Analysis (BIVA) procedures were applied. In addition, a linear discriminant analysis was assessed to determine which factors better discriminate between an elite and non-elite football team. Many differences were observed in body composition between and within each football team’s category, especially in triceps SK (p < 0.05), %F (p < 0.05), and all performance tests (p < 0.01). The canonical correlation was 0.717 (F(7,128) = 19.37, p < 0.0001), and the coefficients that better discriminated between two teams were 15 m sprint (−2.39), RSA (1−26), suprailiac SK (−0.5) and CMJ (−0.45). Elite soccer team players present a better body composition and greater physical efficiency. In addition, BIVA outcome could be a relevant selection criterion to scout among younger soccer players.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 73%

Assessment of Body Composition and Physical Performance of Young Soccer Players: Differences According to the Competitive Level

Toselli

Grigoletto

Cataldi

et al. 2022

Biology

View full text Add to dashboard Cite

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“…However, to the best of our knowledge, there is no available information regarding the use of the discriminant analysis to differentiate Brazilian runners from different competitive levels based on anthropometric and training variables. However, this statistical approach has been primarily used to differentiate athletes across different sports, based on a large number of variables, such as physical performance, motor coordination [ 23 ], anthropometric and biomotor variables among elite female adolescents of different sports [ 24 ], characteristics of soccer athletes selected and non-selected [ 25 ], and physiological variables [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Discriminant Analysis of Anthropometric and Training Variables among Runners of Different Competitive Levels

Thuany

Souza

Hill

et al. 2021

IJERPH

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The purpose of this study was to investigate the multivariate profile of different types of Brazilian runners and to identify the discriminant pattern of the distinct types of runners, as a runners’ ability to self-classify well. The sample comprised 1235 Brazilian runners of both sexes (492 women; 743 men), with a mean age of 37.94 ± 9.46 years. Individual characteristics were obtained through an online questionnaire: Sex, age, body height (m) and body mass (kg), socioeconomic status, and training information (i.e., self-classification, practice time, practice motivation, running pace, frequency and training volume/week). Multivariate analysis of variance was conducted by sex and the discriminant analysis was used to identify which among running pace, practice time, body mass index and volume/training could differentiate groups such as “professional athletes”, “amateur athletes” and “recreational athletes”. For both sexes, running pace was the variable that better discriminated the groups, followed by BMI and volume/week. The practice time is not a good indicator to differentiate runner’s types. In both sexes, semi-professional runners were those that better self-classify themselves, with amateur runners presenting the highest classification error. This information can be used to guide the long-term training, athlete’s selection programs, and to identify the strengths and weaknesses of athletes.

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“…Research on the physical performance characteristics of youth football players has made significant progress in recent years. Studies have revealed that elite youth football players are superior in anthropometrics (height, body mass, and body composition) ( Bidaurrazaga-Letona et al, 2016 ; Deprez et al, 2015a ; Nughes et al, 2020 ; Bongiovanni et al, 2020 ) and physical characteristics (speed, agility, anaerobic endurance, strength, and power) ( Emmonds et al, 2016 ; Aquino et al, 2017 ; Grendstad et al, 2020 ; Deprez et al, 2015b ), which are important factors influencing selection by coaches ( Patel et al, 2020 ; Bidaurrazaga-Letona et al, 2019 ; Nughes et al, 2020 ). As such, football players’ physical characteristics significantly influence the selection of elite vs non-elite players while they are still youths ( Itoh & Hirose, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Physical characteristics of elite youth male football players aged 13–15 are based upon biological maturity

Yang

Hai-chun

2022

PeerJ

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Background Older and more mature football players have been reported to gain advantages in the selection process during adolescence. The aim of this study was to investigate the influence of skeletal age (SA) on the physical characteristics of elite male football players aged 13–15 years through a cross-sectional study. Methods and Materials We enrolled 167 elite players aged 13–15 from three academic football schools in China, and measured height, body mass, thigh circumference, skinfold (triceps and calf), 10 m/30-m sprint, T-tests (left and right), 5 × 25-m repeated-sprint ability (5 × 25 RSA), standing long jump, and YoYo intermittent recovery test level 1 (YYIR1). Subjects were divided into early-, average-, and late-maturity levels according to their SA and chronological age (CA) based on the following criteria: SA-CA > +1 year, SA-CA = ±1 year, and SA-CA < −1 year, respectively. The differences in parameters among the groups were analyzed using one-way analysis of variance and Bonferroni’s post-hoc test, with statistical significance set at p < 0.05. Results Relative to the late-maturing players, the early- and average-maturing players aged 13–15 years were taller, heavier, had a larger thigh circumference, and scored higher on the standing long jump, 30 m sprint, and 5 × 25-RSA (p < 0.05). The physical (except for body-fat percentage) and athletic characteristics of players aged 13–15 were not only significantly influenced by biological maturity, but also increased significantly with CA. The influence of biological maturity on height, 30-m sprints, and 5 × 25-m RSA diminished with age and exerted no significant effect on body-fat percentage and on YYIR1. Late-maturing players exhibited the greatest increase in physical (except for body-fat percentage) and athletic performance (except for the 10-m sprint) compared to players of early and/or average maturity. Conclusions Although early-maturing players aged 13–15 possessed better anthropometric and physical performance than late- and average-maturing players, the growth and development of physical function of late- and average-maturing players was significantly greater, particularly with respect to height, sprint speed, and muscular power.

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Anthropometric and Functional Profile of Selected vs. Non-Selected 13-to-17-Year-Old Soccer Players

Cited by 14 publications

References 42 publications

Assessment of Body Composition and Physical Performance of Young Soccer Players: Differences According to the Competitive Level

Assessment of Body Composition and Physical Performance of Young Soccer Players: Differences According to the Competitive Level

Discriminant Analysis of Anthropometric and Training Variables among Runners of Different Competitive Levels

Physical characteristics of elite youth male football players aged 13–15 are based upon biological maturity

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