Age-related differences in linear sprint in adolescent female soccer players

BMC Sports Science, Medicine and Rehabilitation

Hadi Nobari¹  Jorge Pérez-Gómez²  Oliver Gonzalo-Skok³  Elena Mainer-Pardos⁴  Demetrio Lozano⁴ 

[1] Department of Exercise Physiology, Faculty of Sport Sciences, University of Isfahan, 81746-7344, Isfahan, Iran;Sports Scientist, Sepahan Football Club, 81887-78473, Isfahan, Iran;HEME Research Group, Faculty of Sport Sciences, University of Extremadura, 10003, Cáceres, Spain;Head of Return To Play, 41005, Sevilla, FC, Spain;Health Sciences Faculty, Universidad San Jorge, Autov A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain;

关键词: Football;    Velocity;    Anthropometric;    Performance;    Maturation;    Youth sports;   

DOI  :  10.1186/s13102-021-00327-8

来源: Springer

【 摘 要 】

BackgroundSeveral studies have observed the contribution of chronological age, biological maturation, and anthropometric characteristics to sprinting performance in young soccer players. Nevertheless, there are no studies that have analysed the contribution of these characteristics to running speed qualities in adolescent female soccer players.ObjectiveThis study investigated age-related differences in sprint performance in adolescent female soccer players. Also, it examined the possible influence of anthropometry [body mass and body mass index (BMI)] and biological maturation [age at peak height velocity (APHV)] in sprint performance.MethodsEighty adolescent female soccer players [under (U) 14, n = 20; U16, n = 37; U18, n = 23] participated in this study. Players were tested for 40 m sprint (each 10 m split times).ResultsPosthoc analysis revealed better performance in all split sprint times of older soccer players (U18 and U16) compared with younger category (F: 3.380 to 6.169; p < 0.05; ES: 0.64 to 1.33). On the contrary in all split sprint times, there were no significant changes between U16 and U18 (p < 0.05; ES: 0.03 to 0.17). ANCOVA revealed differences in all parameters between groups, controlled for APHV (p < 0.05). In contrast, all between-group differences disappeared after body mass and BMI adjustment (p > 0.05). Finally, the results indicate that BMI and body mass were significantly correlated with 40 m sprint (p < 0.05; r: -0.31) and 20 m flying (p < 0.01; r: 0.38), respectively.ConclusionIn the present players’ sample, body mass and BMI had a significant impact on running speed qualities.

【 授权许可】

CC BY