Abstract
The study aimed to identify the contribution of some anthropometric measurements and pulmonary volumes to the digital achievement of the sprint 400-meter running distance among elite runners in Palestine. A total of 18 elite runners in Palestine, (age: 20.16+1.15 years; body mass: 67.75+5.04 kg; height: 173.11+6.01 m; body mass index (BMI):23.3 +3.1 kg/m2) were categorized as. Anthropometric measurements and Pulmonary volume measurements were taken (VC, FVC, FEV1, FWV1/FVC%, MVV, TV, RV, IC). The authors used Multiple linear Regression. Simple Linear Regression (T) and (Beta) to determine the regression line equation. It was determined that there was no statistically significant relationship between some anthropometric measurements (≤0.05). In order to determine the contribution of measurements chest circumference (r=*0.599), chest circumference (r=*0.573) in inspiration, thigh circumference (r=*0.773) calf (Gastrocnemius) muscle circumference(r=*0.554) it was determined that there was a statistically significant relationship between the digital success of the 400 meter sprint run. It was determined that there was no statistically significant relationship (α≤0.05) between lung volume measurements (FVC, FEV1, FWV1/FVC%, MVV). It was determined that there was no statistically significant relationship (α≤0.05) between lung volume measurements (FVC, FEV1, FWV1/FVC%, MVV). However, VC (p = 0.00); It was determined that there was a significant relationship in terms of (R2 = 0.616). In conclusin researchers recommend the necessity of using the predictive equations that have been developed as a predictor of digital achievement in the sprint 400-meter running competition.
Description
This research investigates how anthropometric and pulmonary measurements affect sprint performance.