Physical activity and sedentary behaviour typologies of 10-11 year olds - Response to Saunders and Colleagues

  • PDF / 170,821 Bytes
  • 2 Pages / 595.276 x 793.701 pts Page_size
  • 89 Downloads / 199 Views

DOWNLOAD

REPORT


LETTER TO THE EDITOR

Open Access

Physical activity and sedentary behaviour typologies of 10-11 year olds - Response to Saunders and Colleagues Russell Jago*, Kenneth R Fox, Angie S Page, Rowan Brockman and Janice L Thompson

Dear Editor, We read with interest the recent letter by Saunders and colleagues [1] in relation to our paper entitled “Physical activity and sedentary behaviour typologies of 1011 year olds” [2] and we welcome the opportunity to respond to the comments that have been raised in their letter. Firstly, they question why we opted to use selfreported activity data to generate behavioural profiles when objective accelerometer data were available. Secondly, they asked us to explain why the differences in the accelerometer-determined physical activity levels were relatively small when the self-reported differences were far larger. Regarding their first point, the self-reported physical activity and screen-viewing data were used to create profiles of the types of behaviour in which the participants engaged. The questions used focussed on frequency of attendance of sport clubs, playing with friends near the home, playing with friends in the garden as well as time spent screen-viewing. We made no assumptions about the actual intensity of the physical activity in which the participants engaged, and thus did not claim that if a participant reported attending an after-school club for 1-2 days per week that this led to an extra amount of physical activity. This decision was taken because we are aware that a large proportion of time that children spend participating in clubs or sports is not moderate to vigorous in intensity [3]. More importantly, however, the instrument was not intended to provide an indication of overall levels of physical activity. Rather the questions were designed to provide information on the types of behaviours in which the participants engaged. These data are needed as although accelerometers can provide detailed information on the intensity of physical activity and the time of day at * Correspondence: [email protected] Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK

which it occurred, they cannot provide information about what a person was doing when they were physically active. While accelerometer data can provide information about whether or not a child meets physical activity guidelines, the data cannot solely inform interventions as there is no information about the activities in which the child engages. Context of activity is required to guide and target strategies for promoting activity in children. We therefore used self-reported data to identify children who reported engaging in similar behaviours with the intention being that this information might then be used to design targeted interventions for children with similar physical activity and screenviewing profiles. Regarding their second point, Saunders and colleagues are correct to point out that the differences between the clusters in terms of self-reporte