Literature DB >> 18942001

In-school and out-of-school physical activity in primary and secondary school children.

Christopher J Gidlow1, Tom Cochrane, Rachel Davey, Hannah Smith.   

Abstract

The aim of this study was to compare in-school and out-of-school physical activity within a representative sample. Socio-demographic, physical activity, and anthropometric data were collected from a random sample of children (250 boys, 253 girls) aged 3-16 years attending nine primary and two secondary schools. Actigraph GT1M accelerometers, worn for seven days, were used to estimate physical activity levels for in-school (typically 09.00-15.00 h), out-of-school (weekday), and weekend periods. Physical activity as accelerometer counts per minute were lower in school versus out of school overall (in school: 437.2 +/- 172.9; out of school: 575.5 +/- 202.8; P < 0.001), especially in secondary school pupils (secondary: 321.6 +/- 127.5; primary: 579.2 +/- 216.3; P < 0.001). Minutes of moderate-to-vigorous physical activity accumulated in school accounted for 29.4 +/- 9.8% of total weekly moderate-to-vigorous physical activity overall but varied by sector (preschool: 37.4 +/- 6.2%; primary: 33.6 +/- 8.1%; secondary: 23.0 +/- 9.3%; F = 114.3, P < 0.001). Approximately half of the children with the lowest in-school activity compensated out of school during the week (47.4%) and about one-third at the weekend (30.0%). Overall, physical activity during the school day appears to be lower than that out of school, especially in secondary school children, who accumulate a lower proportion of their total weekly moderate-to-vigorous physical activity at school than younger children. As low in-school activity was compensated for beyond the school setting by less than half of children, promoting physical activity within the school day is important, especially in secondary schools.

Entities:  

Mesh:

Year:  2008        PMID: 18942001     DOI: 10.1080/02640410802277445

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  30 in total

Review 1.  Accelerometer use with children, older adults, and adults with functional limitations.

Authors:  Scott J Strath; Karin A Pfeiffer; Melicia C Whitt-Glover
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2.  Leisure time physical activity and sedentary behavior and substance use among in-school adolescents in eight African countries.

Authors:  Karl Peltzer
Journal:  Int J Behav Med       Date:  2010-12

3.  The contribution of active play to the physical activity of primary school children.

Authors:  Rowan Brockman; Russell Jago; Kenneth R Fox
Journal:  Prev Med       Date:  2010-06-01       Impact factor: 4.018

4.  Accelerometry-assessed sedentary behaviour and physical activity levels during the segmented school day in 10-14-year-old children: the HAPPY study.

Authors:  Daniel P Bailey; Stuart J Fairclough; Louise A Savory; Sarah J Denton; Dong Pang; Colleen S Deane; Catherine J Kerr
Journal:  Eur J Pediatr       Date:  2012-09-15       Impact factor: 3.183

5.  Physical activity and motor skills in children attending 43 preschools: a cross-sectional study.

Authors:  Line Grønholt Olesen; Peter Lund Kristensen; Mathias Ried-Larsen; Anders Grøntved; Karsten Froberg
Journal:  BMC Pediatr       Date:  2014-09-12       Impact factor: 2.125

6.  Quality control methods in accelerometer data processing: defining minimum wear time.

Authors:  Carly Rich; Marco Geraci; Lucy Griffiths; Francesco Sera; Carol Dezateux; Mario Cortina-Borja
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

7.  Prevalence of exercise and non-exercise physical activity in Chinese adolescents.

Authors:  Kwok-Kei Mak; Sai-Yin Ho; Wing-Sze Lo; Alison M McManus; Tai-Hing Lam
Journal:  Int J Behav Nutr Phys Act       Date:  2011-01-20       Impact factor: 6.457

8.  Patterns of physical activity and sedentary behaviour in preschool children.

Authors:  Eveline Van Cauwenberghe; Rachel A Jones; Trina Hinkley; David Crawford; Anthony D Okely
Journal:  Int J Behav Nutr Phys Act       Date:  2012-11-27       Impact factor: 6.457

9.  Predictors of non-response in a UK-wide cohort study of children's accelerometer-determined physical activity using postal methods.

Authors:  Carly Rich; Mario Cortina-Borja; Carol Dezateux; Marco Geraci; Francesco Sera; Lisa Calderwood; Heather Joshi; Lucy J Griffiths
Journal:  BMJ Open       Date:  2013-03-01       Impact factor: 2.692

10.  Schoolyard physical activity of 6-11 year old children assessed by GPS and accelerometry.

Authors:  Dirk Dessing; Frank H Pierik; Reinier P Sterkenburg; Paula van Dommelen; Jolanda Maas; Sanne I de Vries
Journal:  Int J Behav Nutr Phys Act       Date:  2013-08-14       Impact factor: 6.457

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