The physique of sportsmen: a study using factor analysis

Area of Science:

• Sports Science
• Human Biology
• Anthropometry

Background:

• Understanding athlete body composition is crucial for performance analysis and training.
• Anthropometric measurements provide key insights into skeletal structure, muscle mass, and fat distribution.

Purpose of the Study:

• To analyze the variability and interrelationships of diverse anthropometric measurements in athletes.
• To identify underlying factors of body composition using statistical analysis.
• To determine the predictive power of anthropometric measurements for explaining variance in athlete characteristics.

Main Methods:

• Collected 11 skeletal lengths, 4 bone widths, 14 circumferences, and 15 skinfold thicknesses from 116 athletes.
• Employed Alpha factor analysis to identify underlying body composition factors.
• Utilized stepwise multiple regression to assess the predictive value of anthropometric measurements.

Main Results:

• Greatest inter-subject variability observed in skinfold measurements, followed by limb bone lengths and muscle circumferences.
• Alpha factor analysis yielded seven stable factors, with 'circumferences and bone widths' explaining the most variance (32%).
• Six anthropometric measurements explained 83% of variance, and twelve explained 95%.

Conclusions:

• Anthropometric measurements exhibit varying degrees of variability across different body regions in athletes.
• Factor analysis effectively reduces complex anthropometric data into meaningful body composition components.
• A limited set of anthropometric measurements can significantly explain the variance in athlete characteristics, aiding in efficient assessment.