Cluster analysis as an effective tool for identifying physical fitness in students: the basis for an innovative approach to optimizing physical education in the university environment.

ABSTRACT:

Objective

This study analyzes university students' physical fitness and, based on the results, applies cluster analysis to identify homogeneous groups with aim to optimize physical education programs at the university.

Methods

A group of 88 first-year students underwent standardized UNIFITTES 6-60 focusing on strength (long jump from a place, sit-ups in 30 s, bent-arm hang test), endurance (20 m shuttle run test), speed (4 × 10 m shuttle run), flexibility (sit and reach test), and anthropometric measurements to determine BMI and WHR. Cluster analysis was used to identify homogeneous groups based on students' physical fitness and anthropometric profiles.

Results

The average BMI reached the value of 23.95, with 12% of students falling into obesity. An increased risk of

SUBMITTER: Cepkova A 

PROVIDER: S-EPMC12425939 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature