Physical activity, motor competence and movement and gait quality: A principal component analysis

Cain Clark, Claire M. Barnes, Michael Duncan, Huw D. Summers, Gareth Stratton

Research output: Contribution to journalArticle

Abstract

Objective While novel analytical methods have been used to examine movement behaviours, to date, no studies have examined whether a frequency-based measure, such a spectral purity, is useful in explaining key facets of human movement. The aim of this study was to investigate movement and gait quality, physical activity and motor competence using principal component analysis.MethodsSixty-five children (38 boys, 4.3±0.7y, 1.04±0.05m, 17.8±3.2kg, BMI; 16.2±1.9 kg.m2) took part in this study. Measures included accelerometer-derived physical activity and movement quality (spectral purity), motor competence (Movement Assessment Battery for Children 2nd edition; MABC2), height, weight and waist circumference. All data were subjected to a principal component analysis, and the internal consistency of resultant components were assessed using Cronbach’s alpha. ResultsTwo principal components, with excellent internal consistency (Cronbach α >0.9) were found; the 1st principal component, termed “movement component”, contained spectral purity, traffic light MABC2 score, fine motor% and gross motor% (α=0.93); the 2nd principal component, termed “anthropometric component”, contained weight, BMI, BMI% and body fat% (α=0.91).ConclusionThe results of the present study demonstrate that accelerometric analyses can be used to assess motor competence in an automated manner, and that spectral purity is a meaningful, indicative, metric related to children’s movement quality.
Original languageEnglish
Article number102523
JournalHuman Movement Science
Volume68
Early online date1 Nov 2019
DOIs
Publication statusPublished - Dec 2019

Keywords

  • Motor competence
  • Motor development
  • Physical activity
  • Pre-school
  • Principal component analysis

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Experimental and Cognitive Psychology

Fingerprint Dive into the research topics of 'Physical activity, motor competence and movement and gait quality: A principal component analysis'. Together they form a unique fingerprint.

  • Cite this