Physical growth in young Chilean football players: Proposal of percentiles based on chronological and biological age

Carrasco, Samuel; Gómez-Campos, Rossana; Méndez, José; Morales, L.E Ramos; Urra-Albornoz, Camilo; Cossio-Bolañosb, M

doi:10.5546/aap.2018.eng.e508

Cited by 2 publications

(1 citation statement)

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“…To our knowledge, few studies have been identified that propose referential values in young soccer players. However, these studies do not cover a wide age range, usually, they have been limited to some physical tests (Lesinski et al, 2020;Selmi et al, 2020;Romero-Caballero et al, 2021;Smpokos et al, 2022), or have been proposed to separately analyze physical growth and BC (Carrasco-López et al, 2018;Carrasco-López et al, 2021), which limits their use and application.…”

Section: Introductionmentioning

confidence: 99%

Reference values for body composition and physical fitness of young Brazilian elite soccer players

Portella,

Vidal-Espinoza,

Sulla-Torres

et al. 2023

Front. Physiol.

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Objective: a) to verify whether body composition and physical fitness should be analyzed by chronological age and/or maturity stage in young Brazilian soccer players and b) to propose reference values for the evaluation of body composition and physical fitness by maturity stage in elite soccer players.Methods: A descriptive-correlational study was carried out in 206 young Brazilian soccer players (11–16 years old). The sample selection was non-probabilistic by convenience. Weight and standing height were evaluated. Body composition (BC) was assessed by dual X-ray absorptiometry (DXA). BC indicators [(percent fat (%F), Fat-free mass (FFM), Fat mass (FM) and Bone mass (BM)] were extracted. For physical fitness (PF), we applied the Flexibility (cm) sit and reach tests, explosive strength tests [Counter Movement Jump CMJ (cm) and horizontal jump HJ (cm)], speed [Speed 10, 20, 30 and 40 m (seconds)] and Yo-Yo endurance level I test. Percentiles were constructed for BC and PF using the LMS method [L (Lambda; skewness), M (Mu; median) and S (Sigma; coefficient of variation)].Results: The explanatory power between chronological age (CA) with BC was: FM (R2 = 0.03%), FFM (R2 = 0.66%) and BM (R2 = 0.62%), while between maturity status (MS) with BC were: FM (R2 = 0.04%), FFM (R2 = 0.71%) and BM (R2 = 0.66). The explanatory power between the CA with the physical fitness tests ranged from: (R2 = 0.22–0.62%). While between MS with physical fitness the values ranged from: (R2 = 0.23–0.64%). Percentiles per MS (P3, P5, P10, P15, P25, P50, P75, P85, P90, P95 and P97) were proposed for both BC and PF.Conclusion: The results of the study have shown that the evaluation of BC and PF of young soccer players should be performed by controlling for MS rather than for CA. The inclusion of a non-invasive method to control MS by means of percentiles during puberty may contribute to the development of retention and exclusion of young soccer players, thus, they may have a better chance of achieving sporting success.

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Section: Introductionmentioning

confidence: 99%

Reference values for body composition and physical fitness of young Brazilian elite soccer players

Portella,

Vidal-Espinoza,

Sulla-Torres

et al. 2023

Front. Physiol.

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Anthropometric Characterization and Physical Performance by Age and Biological Maturation in Young Tennis Players

Villouta

Paredes-Arias

Rivera

et al. 2021

IJERPH

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The objective was to analyze anthropometric and physical performance variables as a function of chronological age and biological maturity in young Chilean tennis players. The study was observational, cross-sectional, with descriptive and analytical characteristics. Eighty-seven tennis players were evaluated (58 men 15.1 ± 0.8 years and 29 women, 15.3 ± 0.8 years). The measured anthropometric variables were a sprint test of 20m; a modified agility test; a sit-and-reach test and shoulder flexibility; manual grip strength; horizontal jump in feet; a medicine ball throw; a countermovement vertical jump; an abalakov vertical jump and a 20-m shuttle-run test. The growth velocity acceleration peak (APHV), skeletal muscle mass and fat mass were calculated, R2 and standard error of estimate (SEE) were examined. The results show that chronological age explained the anthropometric variables between 1 and 23% in men and 1 and 29% in women; by biological age, variables were explained between 3 and 53% in men and 2 and 42% in women. Of the physical performance variables, chronological age described between 2 and 24% of them in men and 1 and 29% in women; the same were explained by biological age between 1 and 19% in men and 1 and 26% in women. We conclude that anthropometric variables showed a better relationship with biological age, except for volume of fat tissue, while physical performance variables showed low association with both biological and chronological age.

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Physical growth in young Chilean football players: Proposal of percentiles based on chronological and biological age

Cited by 2 publications

References 20 publications

Reference values for body composition and physical fitness of young Brazilian elite soccer players

Reference values for body composition and physical fitness of young Brazilian elite soccer players

Anthropometric Characterization and Physical Performance by Age and Biological Maturation in Young Tennis Players

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