Introducción: A pesar de que existe una relación entre el sobrepeso, actividad física y calidad de movimiento, no está clara la relación entre otras variables relacionadas con la composición corporal y la calidad de patrones de movimiento fundamentales, por lo que el objetivo de este estudio fue determinar la relación entre variables antropométricas y calidad de movimientos fundamentales en escolares. Material y Método: Estudio observacional analítico transversal. Se evaluaron 18 estudiantes (11 hombres) de 12,72±0,57 años. Se midió el peso, estatura, índice de masa corporal, perímetro de cintura, perímetro de cadera, índice cintura-cadera, índice cintura-estatura y porcentaje de grasa corporal, y se valoró el Functional Movement Screen (FMS). Se aplicó la prueba de correlación de Spearman y Pearson, (α=0,05), para determinar la relación entre variables antropométricas y las pruebas del FMS. Resultados: Se encontró una relación positiva entre la variable estatura y el puntaje total del FMS (0,62; p<0,01) y la prueba de pasar la valla (0,74; p<0,01), y negativa entre el porcentaje de grasa corporal con las pruebas de sentadilla profunda (-0,58; p<0,05), el índice cintura-estatura y la estabilidad rotatoria (-0,48; p<0,01). Conclusión: Existe una relación positiva entre la variable de estatura con la calidad de movimientos fundamentales. Por otro lado, se encontró que variables relacionadas con composición corporal como porcentaje de grasa corporal e índice cintura-cadera, tienen una relación negativa con algunas de las pruebas del Functional Movement Screen. Por lo tanto, podemos determinar que existe una relación entre variables antropométricas y calidad de movimiento para la población evaluada. Abstract. Introduction: Although there is a relationship between overweight, physical activity and movement quality, the relationship between other anthropometric variables related to body composition and the quality of fundamental movement patterns is not clear. The aim of this study was to determine the relationship between anthropometric variables and the quality of fundamental movement in children. Material and method: Observational cross-sectional study. 18 children (11 males) of 12.72 ± 0.57 years old were assessed. Weight, height, body mass index, waist perimeter, hip perimeter, waist-to-hip, and waist-to-height indexes and percentage of adipose tissue were evaluated, and the Functional Movement Screen (FMS) to determine the quality of fundamental movements was applied. To determine the relationship between anthropometric variables and FMS tests, the Pearson's correlation test was calculated, with a significance level of 0.05. Results: A positive relationship was found between height, total FMS score (0.62; p <0.01), and the hurdle step test (0.74; p <0.01), whereas negative associations between adipose tissue percentage vs deep squat test (-0.58; p <0.05), and waist-to-height index vs rotational stability test (-0.48; p <0.01) were found. Conclusion: There is a positive relationship between height and fundamental movements quality in children. Furthermore, variables related to body composition such as adipose tissue percentage and hip waist index, had a negative relationship with some of the FMS tests. Therefore, we can conclude that there is an association between anthropometric variables and movement quality in children.

The Trail, a competition open to all types of runners, takes place in a natural environment and its total route does not exceed 20% of asphalt routes. Trail runners tend to spend most of the race below aerobic threshold intensities. Among the genetic factors that determine aerobic performance, the Ins/Del polymorphism of de ACE gene, is considered a determining marker of maximum oxygen consumption (VO2max). PURPOSE: To evaluate the differences in the maximum oxygen consumption according to genotypes of the Ins/Del polymorphism of the ACE gene in trail runners of Valdivia. METHODS: Analytical cross-sectional study. 41 Trail running from the city of Valdivia were evaluated and the Trail test was applied to them, consisting in a 3-min warm-up at 8 km/h, increasing to 10 km/h at the beginning of the test, then increasing continuously 0,5 km/h per minute, as the inclination, increasing 1% per minute and starting at 0,5%, until volitional exhaustion. During the test, breath by breath analysis for oxygen consumption using a Jaeger Oxycon Mobile ergospirometer was performed, with 11 breaths average and 10 second recording time. In addition, the frequency of appearance of alleles and genotype of the Ins/Del polymorphism of the ACE gene was determined. The variables were compared by ANOVA or t-test, with a significance level of p <0.05. RESULTS: The genotypic distribution was: Ins/Ins 27%; Ins/Del 51%; Del/Del 22%. The frequency of the allele Ins 52% and Del 48%. The mean VO2max was 50.29±7.84 ml/Kg/min. No statistically significant differences were found when grouped by genotype (p = 0.810), except in oxygen pulse (p <0.009) when grouped by dominant Del allele. CONCLUSIONS: Differences in maximum oxygen consumption were evaluated according to Ins/Del polymorphism of the ACE gene, however, for this population of amateur runners, the polymorphism would not be a determinant of aerobic performance. It is necessary to perform field-based evaluations to assess all the components related to the specific physiological demands

CONCLUSION:The magnitude of differences among ACLR limbs and healthy controls appears to be smaller at higher contraction speeds which has implications for muscle testing after ACLR. Table 1: Normalized Peak Torque (Nm/kg) at each contraction speed Limb Type ACLR (Involved Limb) ACLR (Uninvolved Limb) Healthy(Average of Both Limbs)