Advances in objectively measured movement behaviours in children
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The objectives of this thesis were: 1) to develop and apply a novel method for objectively measuring the time children and adolescents spend engaged in different types of physical activity, 2) to develop and validate an algorithm that can be used to assess sleep efficiency in children and adolescents using a waist-worn accelerometer, and 3) to determine if using multiple imputation to replace missing accelerometer data influences estimates of sedentary time and associations with health indicators in children and adolescents. Manuscript one describes the development of a methodological approach that can be used to concurrently measure the time that children and adolescents participate in outdoor active play, active travel, curriculum-based physical activity, and organized sport. This measurement approach provides researchers with a new opportunity to measure and study the time that children and adolescents spend in different types of physical activity. In manuscript two, the methodological approach developed in manuscript one was applied to the full sample of children and adolescents from the Active Play Study. This paper provides descriptive estimates of the time that children spend participating in different types of physical activity, the movement intensity composition of these different types of physical activity, and the extent to which these types of physical activity contribute to children’s overall movement. Manuscript three describes the development and cross-validation of a sleep efficiency algorithm for the waist-worn Actical accelerometer. This algorithm will allow researchers to use the same waist-worn accelerometer to measure children and adolescents’ 24-hour movement behaviours. Manuscript four describes the application of a multiple imputation approach to impute accelerometer epochs that occurred during “non-wear” periods. These results suggest that removing non-wear accelerometer data leads to meaningfully lower estimates of sedentary time and biases the association between sedentary time and cardiometabolic risk towards the null. Collectively, this thesis research has developed and applied novel measurement and analytical tools to overcome some of the major limitations in assessing the 24-hour movement behaviours of children and adolescents. This opens up many new possibilities for researchers to continue to explore how 24-hour movement behaviours are related to health in children and adolescents.
URI for this recordhttp://hdl.handle.net/1974/25672
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