The Centre of Research Excellence on Sitting Time and Chronic Disease Prevention -Measurement, Mechanisms and Interventions.
Satellite Meeting for The International Congress of Behavioural Medicine http://www.icbm2016.com/
6th December 2016 Baker IDI Heart and Diabetes Institute | Melbourne
The Video of each presentation can be found in our Resources Section
International Conference on Diet and Activity Methods 2015
1 - 3 September 2015 Brisbane Convention and Exhibition Centre | Brisbane
4th International Conference on Ambulatory Monitoring of Physical Activity and Movement
10 12 June 2015 University of Limerick I Ireland
Invited Speaker ABSTRACTS
Prof JO SALMON, PHD & NICKY RIDGERS, PHD
School of Exercise and Nutrition Sciences, Deakin University, Australia
Wednesday 10 June 14:30 #3 - Jean Monnet Lecture Theatre: DG-016
Using objective monitoring to examine patterns and changes in children’s sedentary behaviour
This presentation will discuss the use of objective monitoring to assess patterns and changes in children’s sedentary behaviour. It will describe ways to examine patterns of sedentary behaviour using objective monitoring technologies (eg, ActiGraph, activPAL, Sensewear), and identify methodological challenges of using these technologies with children. The importance of considering the activity spectrum from sitting to vigorous-intensity physical activity will be discussed. For example, if children reduce their sitting, how does this impact on higher intensities of activity? What behavioural shifts occur when children reduce their sitting? New research that examines the issue of compensation (what happens within and between days among children who reduce their sitting time) will be presented using both cross-sectional and experimental designs. This presentation will also consider natural changes in sedentary behaviour over time, and how patterns of change differ between different population groups, and associations with health. It will finish by discussing measurement issues in relation to our recent school-based intervention research on reducing children’s and adolescents’ sitting time.
Prof STEWART TROST , PHD
School of Exercise and Nutrition Sciences, Queensland University of Technology, Australia
Wednesday 10 June 15:30 #4 - Jean Monnet Lecture Theatre: DG-016
Predictive Analytical for Human Movement Behaviour: lack of innovation or diffusion failure?
Due to their small size and low cost, accelerometer-based motion sensors have become the method of choice for measuring physical activity (PA) in free-living scenarios. However, despite their widespread use in public health research, considerable uncertainty exists on how to convert accelerometer output into units of energy expenditure or estimates of PA intensity. Although machine learning approaches for activity recognition are used extensively in engineering and computer science, the uptake of machine learning methods among public health researchers has been slow. Diffusion of innovation theory provides a useful conceptual framework for understanding the process of developing and deploying new approaches to accelerometer data processing. Diffusion is defined as the process by which an innovation is communicated through certain channels over time among members of a social system. An innovation is an idea, program, or practice that is perceived as new by an individual or group. Therefore, machine learning approaches to accelerometer data reduction can be viewed as an innovation that must be successfully “diffused” or translated into practice over time. This presentation will review the uptake of machine learning methods in public health research. Diffusion of innovation theory will be used to identify points of dissemination failure and potential solutions.