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Principal Component Analysis Applied to In-School Inertial Measurement Unit-Derived Data During Physical Activity: A

Daniel González-Devesa1, Markel Rico-González2, Daniel Rojas-Valverde3

  • 1Research Group on Physical Activity, Education, and Health (GIAFES), Catholic University of Ávila, 05005 Ávila, Spain.

Sensors (Basel, Switzerland)
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PubMed
Summary
This summary is machine-generated.

Principal component analysis (PCA) effectively identifies key variables for assessing physical activity (PA) in children. Volume-related factors significantly explain PA behaviors during school hours.

Keywords:
PCAchildrenphysical activitystatisticstechnology

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Area of Science:

  • Sports Science
  • Public Health
  • Data Science

Background:

  • Information technology generates vast data for physical activity (PA) assessment.
  • Principal Component Analysis (PCA) is a valuable data reduction technique.
  • Identifying key PA variables is crucial for understanding children's behavior.

Purpose of the Study:

  • To identify variables that best represent preschool and school children's PA behaviors during school hours using PCA.
  • To highlight the effectiveness of PCA in analyzing PA-related behavioral patterns.

Main Methods:

  • Systematic review conducted across PubMed, SCOPUS, Web of Science, and ProQuest Central.
  • Search followed PRISMA and sports sciences systematic review guidelines.
  • Analysis of seven selected studies (n=8927) involving PCA for PA data.

Main Results:

  • Volume-related components explained a significant majority of variance in PA behaviors (62.8-69.0%).
  • Intensity components contributed less to the variance (14.4-14.8%).
  • Lack of reported confidence intervals and heterogeneity limited quantitative synthesis.

Conclusions:

  • PCA is effective in identifying multidimensional patterns in children's physical activity and motor development.
  • Volume-related dimensions consistently dominate the variance structure in PA behaviors.
  • Findings are applicable across diverse populations and settings for PA research.