The role of anthropometric, growth and maturity index (AGaMI) influencing youth soccer relative performance

International Conference on Innovative Technology, Engineering and Sciences 2018

工业技术;自然科学

Maliki, Ahmad Bisyri Husin Musawi^1 ; Abdullah, Mohamad Razali^1,2 ; Juahir, Hafizan^1 ; Muhamad, Wan Siti Amalina Wan^2 ; Nasir, Nur Afiqah Mohamad^2 ; Musa, Rabiu Muazu^2,3 ; Mat-Rasid, Siti Musliha^1 ; Adnan, Aleesha^2 ; Kosni, Norlaila Azura^2 ; Abdullah, Farhana^2 ; Abdullah, Nurul Ain Shahirah^2

East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Terengganu

21300, Malaysia^1

Faculty of Applied Social Sciences, Universiti Sultan Zainal Abidin, Terengganu

21300, Malaysia^2

Innovative Manufacturing, Mechatronics and Sports Lab (IMAMS), Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, Pekan Campus, Pekan, Pahang

26600, Malaysia^3

关键词: Body fats;    Dependent variables;    Independent variables;    Maturity indices;    Physiological demands;    Relative performance;    Soccer player;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/342/1/012056/pdf
DOI  :  10.1088/1757-899X/342/1/012056

来源: IOP

【 摘 要 】

The main purpose of this study was to develop Anthropometric, Growth and Maturity Index (AGaMI) in soccer and explore its differences to soccer player physical attributes, fitness, motivation and skills. A total 223 adolescent soccer athletes aged 12 to 18 years old were selected as respondent. AGaMI was develop based on anthropometric components (bicep, tricep, subscapular, suprailiac, calf circumference and muac) with growth and maturity component using tanner scale. Meanwhile, relative performance namely physical, fitness, motivation and skills attributes of soccer were measured as dependent variables. The Principal Component Analysis (PCA) and Analysis of Variance (ANOVA) are used to achieve the objective in this study. AGaMI had categorized players into three different groups namely; high (5 players), moderate (88 players) and low (91 players). PCA revealed a moderate to very strong dominant range of 0.69 to 0.90 of factor loading on AGaMI. Further analysis assigned AGaMI groups as treated as independent variables (IV) and physical, fitness, motivation and skills attributes were treated as dependent variables (DV). Finally, ANOVA showed that flexibility, leg power, age, weight, height, sitting height, short and long pass are the most significant parameters statistically differentiate by the groups of AGaMI (p