Predictors of segmented school dayphysical activity and sedentary time inchildren from a northwest England lowincomecommunity

SL Taylor, Whitney Curry, ZR Knowles, Robert Noonan, Bronagh McGrane, Stuart Fairclough

Research output: Contribution to journalArticle

10 Citations (Scopus)
40 Downloads (Pure)

Abstract

Background: Schools have been identified as important settings for health promotion through physical activity participation, particularly as children are insufficiently active for health. The aim of this study was to investigate the child and school-level influences on children′s physical activity levels and sedentary time during school hours in a sample of children from a lowincome community; Methods: One hundred and eighty-six children (110 boys) aged 9– 10 years wore accelerometers for 7 days, with 169 meeting the inclusion criteria of 16 h∙day−1 for a minimum of three week days. Multilevel prediction models were constructed to identify significant predictors of sedentary time, light, and moderate to vigorous physical activity during school hour segments. Child-level predictors (sex, weight status, maturity offset, cardiorespiratory fitness, physical activity self-efficacy, physical activity enjoyment) and school-level predictors (number on roll, playground area, provision score) were entered into the models; Results: Maturity offset, fitness, weight status, waist circumference-to-height ratio, sedentary time, moderate to vigorous physical activity, number of children on roll and playground area significantly predicted physical activity and sedentary time; Conclusions: Research should move towards considering contextspecific physical activity and its correlates to better inform intervention strategies.
Original languageEnglish
Pages (from-to)534
JournalInternational Journal of Environmental Research and Public Health
Volume14
Issue number5
Early online date16 May 2017
DOIs
Publication statusE-pub ahead of print - 16 May 2017

Keywords

  • physical activity
  • schools
  • children
  • accelerometer

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