How should activity guidelines for young people be operationalised?

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How should activity guidelines for young people be operationalised? Tim Olds*1, Kate Ridley2, Melissa Wake3, Kylie Hesketh4, Elizabeth Waters5, George Patton3 and Joanne Williams3 Address: 1Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia, 2School of Education, Flinders University, Adelaide, Australia, 3Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia, 4Centre for Physical Activity and Nutrition Research, School ofExercise and Nutrition Sciences, Deakin University, Melbourne, Australia and 5School of Health and Social Development, Deakin University, Melbourne, Australia Email: Tim Olds* - [email protected]; Kate Ridley - [email protected]; Melissa Wake - [email protected]; Kylie Hesketh - [email protected]; Elizabeth Waters - [email protected]; George Patton - [email protected]; Joanne Williams - [email protected] * Corresponding author

Published: 21 September 2007 International Journal of Behavioral Nutrition and Physical Activity 2007, 4:43 5868-4-43

doi:10.1186/1479-

Received: 1 May 2007 Accepted: 21 September 2007

This article is available from: http://www.ijbnpa.org/content/4/1/43 © 2007 Olds et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract Background: If guidelines regarding recommended activity levels for young people are to be meaningful and comparable, it should be clear how they are operationalised. It is usually open to interpretation whether young people are required to meet activity and screen time targets (1) all days of the week, (2) on most days of the week, (3) on average across all days, or (4) whether compliance should be understood as the probability that a randomly selected young person meets the guidelines on a randomly selected day. This paper studies this question using data drawn from the Australian Health of Young Victorians study. Methods: The subjects for this study were 885 13–19 year olds who recalled four days of activities using a computerised use-of-time instrument, the Multimedia Activity Recall for Children and Adolescents (MARCA). Daily minutes of moderate-to-vigorous physical activity (MVPA) and screen time were calculated. The prevalence of compliance to Australian guidelines (≥ 60 min/day of MVPA and ≤ 120 min/day of screen time outside of school hours) was calculated using the four methods. Results: The four methods resulted in significantly different prevalence estimates for compliance to the MVPA guideline (20–68%), screen guideline (12–42%) and both guidelines (2–26%). Furthermore, different individuals were identified as compliant by the different methods. Conclusion: Clarification of how compliance to guidelines should be o