Examinando por Autor "Vasquez-Bonilla, Aldo"
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Ítem Anthropometry, body composition, somatotype and asymmetry of canoe sprint world champion: A case study(SAGE Publications Ltd, 0025) Yáñez-Sepúlveda, Rodrigo; Herrera-Amante, Carlos A; Clemente-Suárez, Vicente J; Vasquez-Bonilla, Aldo; Alacid, Fernando; Tuesta, Marcelo i; Báez-San Martín, Eduardo; Giakoni-Ramírez, Frano; Cristi-Montero, CarlosBackground: Body composition is a determinant of physical fitness and sports performance. Aim: To describe the anthropometric characteristics, body composition, somatotype, and asymmetries of the 2023 world champion in the C1-1000 canoeing event. Methods: Dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), and anthropometry were used to describe the athlete's body composition. Results: The results showed a fat tissue distribution of 16.3% by DXA, 15.9% by BIA, and 19.0% by anthropometry. Muscle tissue was reported at 32.0 kg (47.5%) by BIA and 34.1 kg (50.6%) by anthropometry. Conclusions: The athlete exhibits low levels of fat mass with high lean mass, factors that enable optimal development in world-class sports. © The Author(s) 2025.Ítem Association between Fractional Oxygen Extraction from Resting Quadriceps Muscle and Body Composition in Healthy Men(Multidisciplinary Digital Publishing Institute (MDPI), 0023) Yáñez-Sepúlveda, Rodrigo; Olivares-Arancibia, Jorge; Cortés-Roco, Guillermo; Vasquez-Bonilla, Aldo; Monsalves-Álvarez, Matías; Alvear-Órdenes, Ildefonso; Tuesta, MarceloThis study aimed to associate body composition with fractional oxygen extraction at rest in healthy adult men. Fourteen healthy adults (26.93 ± 2.49 years) from Chile participated. Body composition was assessed with octopole bioimpedance, and resting muscle oxygenation was evaluated in the vastus lateralis quadriceps with near-infrared spectroscopy (NIRS) during a vascular occlusion test, analyzing the muscleVO2, resaturation velocity during reactive hyperemia via the muscle saturation index (%TSI), and the area above the curve of HHb (AACrep). It was observed that the total and segmented fat mass are associated with lower reoxygenation velocities during hyperemia (p = 0.008; β = 0.678: p = 0.002; β = 0.751), and that the total and segmented skeletal muscle mass are associated with higher reoxygenation velocities during hyperemia (p = 0.020; β = −0.614: p = 0.027; β = −0.587). It was also observed that the total and segmented fat mass were associated with a higher area above the curve of HHb (AACrep) during hyperemia (p = 0.007; β = 0.692: p = 0.037; β = 0.564), and that total and segmented skeletal muscle mass was associated with a lower area above the curve of HHb (AACrep) during hyperemia (p = 0.007; β = −0.703: p = 0.017; β = −0.632). We concluded that fat mass is associated with lower resaturation rates and lower resting fractional O2 extraction levels. In contrast, skeletal muscle mass is associated with higher resaturation rates and fractional O2 extraction during reactive hyperemia. The AACrep may be relevant in the evaluation of vascular adaptations to exercise and metabolic health. © 2023 by the authors.Ítem Association between Fractional Oxygen Extraction from Resting Quadriceps Muscle and Body Composition in Healthy Men(Multidisciplinary Digital Publishing Institute (MDPI), 2023-12) Yáñez-Sepúlveda, Rodrigo; Yáñez-Sepúlveda R.; Olivares-Arancibia, Jorge; Olivares-Arancibia J.; Cortés-Roco, Guillermo; Cortés-Roco G.; Vasquez-Bonilla, Aldo; Vasquez-Bonilla A.; Monsalves-Álvarez, Matías; Alvear-Órdenes, Ildefonso; Tuesta, MarceloThis study aimed to associate body composition with fractional oxygen extraction at rest in healthy adult men. Fourteen healthy adults (26.93 ± 2.49 years) from Chile participated. Body composition was assessed with octopole bioimpedance, and resting muscle oxygenation was evaluated in the vastus lateralis quadriceps with near-infrared spectroscopy (NIRS) during a vascular occlusion test, analyzing the muscleVO2, resaturation velocity during reactive hyperemia via the muscle saturation index (%TSI), and the area above the curve of HHb (AACrep). It was observed that the total and segmented fat mass are associated with lower reoxygenation velocities during hyperemia (p = 0.008; β = 0.678: p = 0.002; β = 0.751), and that the total and segmented skeletal muscle mass are associated with higher reoxygenation velocities during hyperemia (p = 0.020; β = −0.614: p = 0.027; β = −0.587). It was also observed that the total and segmented fat mass were associated with a higher area above the curve of HHb (AACrep) during hyperemia (p = 0.007; β = 0.692: p = 0.037; β = 0.564), and that total and segmented skeletal muscle mass was associated with a lower area above the curve of HHb (AACrep) during hyperemia (p = 0.007; β = −0.703: p = 0.017; β = −0.632). We concluded that fat mass is associated with lower resaturation rates and lower resting fractional O2 extraction levels. In contrast, skeletal muscle mass is associated with higher resaturation rates and fractional O2 extraction during reactive hyperemia. The AACrep may be relevant in the evaluation of vascular adaptations to exercise and metabolic health.Ítem Calculating Load and Intensity Using Muscle Oxygen Saturation Data(20754663, 2024-04-04) Vasquez-Bonilla, Aldo; Yáñez-Sepúlveda, Rodrigo; Gómez-Carmona, Carlos D.; Olcina, Guillermo; Olivares-Arancibia, Jorge; Rojas-Valverde, DanielThe study aimed to calculate training intensity and load using muscle oxygen saturation (SmO2) during two differentiated physical tasks. 29 university athletes participated in a 40-m Maximal Shuttle Run Test (MST, 10 × 40-m with 30 s recovery between sprints) and a 3000-m time trial run. Distance and time were used to calculate external load (EL). Internal load indicators were calculated based on percentage of maximum heart rate (%HRMAX) and SmO2 variables: muscle oxygen extraction (∇%SmO2) and the cardio-muscle oxygen index (CMOI) was also provided by relating ∇%SmO2 ÷ %HRMAX, and the training load were calculated as the product of speed (m/min × IL) and the efficiency index [Effindex (m/min ÷ IL)]. A student t test was applied based on Bayesian factor analysis. As expected, EL differed in the 40-m MST (331 ± 22.8) vs. 3000-m trials (222 ± 56.8) [BF10 = 6.25e+6; p = <0.001]. Likewise, IL showed higher values in 40-m MST (39.20 ± 15.44) vs. 3000-m (30.51 ± 8.67) in CMOI: [BF10 = 1.70; p = 0.039]. Training load was greater in 40-m MST (85.77 ± 27.40) vs. 3000-m (15.55 ± 6.77) [(m/min × ∇%SmO2): BF10 = 12.5; p = 0.003] and 40-m MST (129.27 ± 49.44) vs. 3000-m (70.63 ± 32.98) [(m/min × CMOI): BF10 = 169.6; p = <0.001]. Also, the Effindex was higher in 40-m MST (10.19 ± 4.17) vs. 3000-m (6.06 ± 2.21) [(m/min × ∇%SmO2): BF10 = 137.03; p = <0.001] and 40-m MST (9.69 ± 4.11) vs. 3000-m (7.55 ± 1.87) [(m/min × CMOI): BF10 = 1.86; p = 0.035]. This study demonstrates calculations of training intensity and load based on SmO2 as an internal load indicator along with speed as an external load indicator during two differentiated exercises.