Physical activity and sedentary behaviour typologies of 10-11 year olds

<p>Abstract</p> <p>Background</p> <p>Targeted interventions may be more effective at increasing children's physical activity. The aim of this study was to identify clusters of children based on physical activity and sedentary patterns across the week.</p> <...

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Main Authors: Brockman Rowan (Author), Page Angie S (Author), Fox Kenneth R (Author), Jago Russell (Author), Thompson Janice L (Author)
Format: Book
Published: BMC, 2010-07-01T00:00:00Z.
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001 doaj_5c08c4be133446ecbe11a7f1d610ec59
042 |a dc 
100 1 0 |a Brockman Rowan  |e author 
700 1 0 |a Page Angie S  |e author 
700 1 0 |a Fox Kenneth R  |e author 
700 1 0 |a Jago Russell  |e author 
700 1 0 |a Thompson Janice L  |e author 
245 0 0 |a Physical activity and sedentary behaviour typologies of 10-11 year olds 
260 |b BMC,   |c 2010-07-01T00:00:00Z. 
500 |a 10.1186/1479-5868-7-59 
500 |a 1479-5868 
520 |a <p>Abstract</p> <p>Background</p> <p>Targeted interventions may be more effective at increasing children's physical activity. The aim of this study was to identify clusters of children based on physical activity and sedentary patterns across the week.</p> <p>Methods</p> <p>Participants were 761, 10-11 year old children. Participant's self-reported time spent in eight physical activity and sedentary contexts and wore an accelerometer. Cluster analysis was conducted on the time spent in the self-reported physical activity and sedentary contexts. Mean minutes of accelerometer derived of moderate to vigorous physical activity (MVPA) and sedentary time were derived for the entire week, weekdays only, weekend days and four different time periods across each type (weekend or weekday) of days. Differences in the physical activity patterns of the groups derived from the cluster analysis were assessed for overall physical activity as well as for the four time periods on weekdays and weekend days.</p> <p>Results</p> <p>Three clusters emerged: 1) High active/Low sedentary; 2) Low active/Moderate sedentary; and 3) High Active/High sedentary. Patterns of activity differed across the week for each group and the High Active/High sedentary obtained the most minutes of MVPA.</p> <p>Conclusions</p> <p>Patterns of physical activity and sedentary time differed across the week for each cluster. Interventions could be targeted to the key periods when each group is inactive.</p> 
546 |a EN 
690 |a Nutritional diseases. Deficiency diseases 
690 |a RC620-627 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n International Journal of Behavioral Nutrition and Physical Activity, Vol 7, Iss 1, p 59 (2010) 
787 0 |n http://www.ijbnpa.org/content/7/1/59 
787 0 |n https://doaj.org/toc/1479-5868 
856 4 1 |u https://doaj.org/article/5c08c4be133446ecbe11a7f1d610ec59  |z Connect to this object online.