Unknown

Dataset Information

Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis.


ABSTRACT:

Objective

This study investigates the relationship between movement behaviors and physical fitness (PF) in university students, and based on the top 5% of model-predicted outcomes for PF to determine the optimal movement behaviors balance.

Methods

A total of 463 university students aged 15-24 years from Jinhua City wore accelerometers to measure moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), and sedentary behavior (SB). Sleep (SLP) was self-reported. The body mass index (BMI), forced vital capacity (FVC), 50-meter dash, standing long jump, sit-and-reach, sit-ups (female), pull-ups (male), 800-meter run (female), and 1000-meter run (male) were used as indicators to assess the physical fitness of university students. Regression analysis

SUBMITTER: Li J 

PROVIDER: S-EPMC11884011 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature