Valeria Montilla-Valderrama

Valeria Montilla-Valderrama


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 November 2025 in Biomechanics
Verified
Journal Article
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Boryi Alexander Becerra-PatiñoBoryi Alexander Becerra-Patiño
Boryi Alexander Becerra-Patiño
Juan David Paucar-UribeJuan David Paucar-Uribe
Juan David Paucar-Uribe
CBCarlos Felipe Martínez Benítez
Carlos Felipe Martínez Benítez
VMValeria Montilla-Valderrama
Valeria Montilla-Valderrama
Armando Monterrosa QuinteroArmando Monterrosa Quintero
Armando Monterrosa Quintero
ASAdriana Guzmán Sánchez
Adriana Guzmán Sánchez
Background: Some studies have suggested that physical fitness and body composition may influence individual and collective performance. However, it is necessary to be able to define the relationships between these variables in soccer players of different ages. Objective: To determine the relation between physical fitness level, body composition, and somatotype in female youth soccer players in response to age. Materials and methods: A total of 56 players were evaluated: 19 early adolescents (EA–U13) with a body mass of 48.35 ± 5.67 kg and a height of 157.63 ± 5.55 cm, 21 middle adolescents (MA–U15) with a body mass of 54.02 ± 5.96 kg and a height of 160.37 ± 5.25 cm and 16 late adolescents (LA–U17) with a body mass of 55.37 ± 6.15 kg and a height of 162.39 ± 5.77 cm. The physical fitness tests were: Squat Jump (SJ), Countermovement Jump (CMJ), Countermovement Jump with Arms (CMJA), Single Leg Countermovement Jump, COD-Timer 5-0-5, COD-Timer 5+5, Speed 15 m, Hamstring Strength, and Running-Based Anaerobic Sprint Test (RAST). The International Society for the Advancement of Kinanthropometry (ISAK) protocols were used to determine anthropometric measurements (skinfolds, circumferences, bone diameters), and the Heath-Carter method was used to assess body composition and somatotype, with z-scores calculated using the Phantom strategy. Results: The analysis revealed that the most significant differences between groups were observed in general anthropometric measurements (ω2 = 0.84), followed by sitting height (ω2 = 0.51) and percentage of body fat according to Carter’s method (ω2 = 0.24), all with large and statistically significant effect sizes (p < 0.05). Larger muscle and bone dimensions, especially in the hip, thigh, and calf, are closely related to better strength, power, and initial sprint speed performance in female soccer players. Conclusions: This study reaffirms that muscle mass is a key predictor of athletic performance, along with strength at high speeds, promoting improvements in power and sprinting in the initial meters. Adiposity is a limiting factor for youth soccer players. Age progression and biological maturation favor the development of the mesomorphic profile, optimizing strength and power.

20 April 2026 in Physiologia
Verified
Journal Article
Open access
PDF file
Boryi Alexander Becerra-PatiñoBoryi Alexander Becerra-Patiño
Boryi Alexander Becerra-Patiño
Juan David Paucar-UribeJuan David Paucar-Uribe
Juan David Paucar-Uribe
CBCarlos Felipe Martínez Benítez
Carlos Felipe Martínez Benítez
VMValeria Montilla-Valderrama
Valeria Montilla-Valderrama
Armando Monterrosa QuinteroArmando Monterrosa Quintero
Armando Monterrosa Quintero
José Francisco López-GilJosé Francisco López-Gil
José Francisco López-Gil
Objective: Analyze physical fitness variables and body composition to define patterns or similarities in performance using principal component analysis. Materials and Methods: Sixty-eight players participated in the study, divided into three groups according to their age: Under-13 (n = 23), Under-15 (n = 27) and Under-17 (n = 18). A comparative cross-sectional study was performed. The variables analyzed were squat jump, countermovement jump, countermovement jump with arms, hamstring strength, COD-Timer 5-0-5, COD-Timer 5 + 5, speed (5, 10, 15 m), and running anaerobic sprint test. Body composition variables were skinfold thickness, diameters, and circumferences. Results: For the squat jump, 10.4% of the variability in speed (η2 = 0.104) and 12.5% of the variability in jump height (η2 = 0.125) are explained by category, both with moderate effect sizes. For the countermovement jump, 10.8% of the variability in speed (η2 = 0.108) and 13.2% of the variability in jump height (η2 = 0.132) are explained by category, both with moderate effects. For the running anaerobic sprint test power test, a large effect size was determined for each of the six times, indicating that at least 57.4% of the variability in time is explained by category. Conclusions: Two control groups were identified according to category (Under-13, Under-15, Under-17), revealing that principal component 1 and principal component 2 were significant in the performance of anthropometric variables such as residual mass, bi-styloid diameter, arm span, and residual mass, and physical variables, specifically related to COD-Timer 5 + 5, COD-Timer 5-0-5, and speed.