The aim of this study was to compare maturational stage and neuromuscular skills among soccer players and non-athletes, as well as to investigate the relationship between maturation and neuromuscular performance. Twen...The aim of this study was to compare maturational stage and neuromuscular skills among soccer players and non-athletes, as well as to investigate the relationship between maturation and neuromuscular performance. Twenty five adolescent males (14.3 ± 0.45 years) participated in the study and were divided into two groups: soccer players (SP – n = 13, 14.1 ± 0.3 years, 58.9 ± 6.90 kg, 1.72 ± 0.04 m, 19.9 ± 1.7 kg·m2, 13.3% ± 4.3% fat) and non-athletes (NA – n = 12, 14.5 ± 0.5 years, 57.3 ± 6.9 kg, 1,67 ± 0.06 m, 20.6 ± 3.9 kg·m2, 14.0% ± 5.7% fat). The square test and 20 m speed test were used to assess agility and speed, respectively. The Tanner self-assessment of pubic hair and genitalia development test was used to estimate maturational development. The Shapiro Wilk test was used to verify the normality of samples. For any data not normally distributed, the non-parametric Mann Whitney test, as well as Kendall’s Tau correlation test, were used. The p-values determined for agility (p = 0.017) and speed (p = 0.054) indicated that agility was the only variable significantly different between SP and NA. The SP and NA groups showed no difference in the levels of maturation (p = 0.41), and maturational status was not significantly correlated with agility (r = 0.013) or speed (r = ?0.003). Conclusion: Individuals who practiced football had better results for the agility test than non-athletes, even with no difference between the degree of maturation and speed. There is a low correlation between level of maturity and agility or speed.展开更多
文摘The aim of this study was to compare maturational stage and neuromuscular skills among soccer players and non-athletes, as well as to investigate the relationship between maturation and neuromuscular performance. Twenty five adolescent males (14.3 ± 0.45 years) participated in the study and were divided into two groups: soccer players (SP – n = 13, 14.1 ± 0.3 years, 58.9 ± 6.90 kg, 1.72 ± 0.04 m, 19.9 ± 1.7 kg·m2, 13.3% ± 4.3% fat) and non-athletes (NA – n = 12, 14.5 ± 0.5 years, 57.3 ± 6.9 kg, 1,67 ± 0.06 m, 20.6 ± 3.9 kg·m2, 14.0% ± 5.7% fat). The square test and 20 m speed test were used to assess agility and speed, respectively. The Tanner self-assessment of pubic hair and genitalia development test was used to estimate maturational development. The Shapiro Wilk test was used to verify the normality of samples. For any data not normally distributed, the non-parametric Mann Whitney test, as well as Kendall’s Tau correlation test, were used. The p-values determined for agility (p = 0.017) and speed (p = 0.054) indicated that agility was the only variable significantly different between SP and NA. The SP and NA groups showed no difference in the levels of maturation (p = 0.41), and maturational status was not significantly correlated with agility (r = 0.013) or speed (r = ?0.003). Conclusion: Individuals who practiced football had better results for the agility test than non-athletes, even with no difference between the degree of maturation and speed. There is a low correlation between level of maturity and agility or speed.
