Obesity Abstracts

Background: Participation in physical activity (PA) and avoidance of sedentary behaviours (SB) are important factors in the prevention of obesity. Self-report PA measures are subject to misreporting and therefore objective, accurate measurements are required. Machine learning (ML) applied to physiological and accelerometery data may offer a means to improve the classification of PA.Methods: Subjects (n=59) were recruited to participate in a prot...

Background: Wearable devices are increasingly utilised to estimate physical activity (PA) in free-living subjects. These monitors facilitate long-term, associative research and generate extremely large datasets, providing new opportunities for research. With these new opportunities comes new considerations for researchers.Based on the results of preliminary autocorrelation analyses, we developed a novel framework which utilises local, hourly PA data to a...