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Taylor, SL, Curry, WB, Knowles, ZR, Noonan, RJ, McGrane, B and Fairclough, SJ (2017) Predictors of Segmented School Day Physical Activity and Sedentary Time in Children from A Northwest England Low-income Community. International Journal of Environmental Research and Public Health, 14 (534). ISSN 1660-4601
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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 low-income 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 context-specific physical activity and its correlates to better inform intervention strategies.
| Item Type: | Article |
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| Uncontrolled Keywords: | MD Multidisciplinary |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure H Social Sciences > HT Communities. Classes. Races L Education > LB Theory and practice of education |
| Divisions: | Sport & Exercise Sciences |
| Publisher: | MDPI AG |
| Date Deposited: | 16 May 2017 10:07 |
| Last Modified: | 03 Nov 2021 16:15 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/6429 |
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