Prediction of habitual physical activity level and weight status from fundamental movement skill level

Elizabeth Bryant, Rob S James, Samantha Louise Birch, Mike Duncan

Research output: Contribution to journalJournal Articlepeer-review

28 Citations (Scopus)


Fundamental movement skills (FMS) have been assessed in children in order to investigate the issues of the low proportion of children who meet physical activity (PA) guidelines and rising levels of obesity. The aim of this research was to identify whether previous or current FMS level is a better predictor of PA levels and weight status in children. In January 2012 (year 1), 281 children were recruited from one primary school in the West Midlands, UK. Children performed eight FMS three times, which were videoed and assessed using a subjective checklist. Sprint speed and jump height were measured objectively. Height and mass were measured to calculate the body mass index to determine the weight status. Skinfold calliper readings were used to calculate body fat percentage. One year later, in January 2013, all these tests were repeated on the same children, with the additional collection of PA data via the use of pedometers. Following multiple linear regression, it was identified that prior mastery in FMS was a better predictor of current PA, whereas current FMS was a better predictor of current weight status. Overall, FMS mastery is needed in childhood to be able to participate in PA and maintain a healthy weight status.

Original languageEnglish
Pages (from-to)1775-82
Number of pages8
JournalJournal of Sports Sciences
Issue number19
Publication statusPublished - 2014
Externally publishedYes


  • Age Factors
  • Body Fat Distribution
  • Body Mass Index
  • Body Weight
  • Child
  • Female
  • Humans
  • Male
  • Motor Activity/physiology
  • Motor Skills/physiology
  • Movement/physiology
  • Sex Factors


Dive into the research topics of 'Prediction of habitual physical activity level and weight status from fundamental movement skill level'. Together they form a unique fingerprint.

Cite this