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Australian State/Territory : QLD
Field of Research : Health Promotion
Research Topic : Research methods
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  • Funded Activity

    Scalability Of The Transform-Us! Program To Promote Children's Physical Activity And Reduce Prolonged Sitting In Victorian Primary Schools

    Funder
    National Health and Medical Research Council
    Funding Amount
    $549,823.00
    Summary
    Transform-Us! is an innovative primary school program that has been found to substantially increase children’s physical activity levels, reduce sitting time and benefit health. With simple changes to the school and classroom environments and teaching practices (eg, standing lessons) we will work with partners in the education and health systems to translate this program across Victorian primary schools to determine the real-world implementation and impact of this program over 5 years.
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    Funded Activity

    Discovery Projects - Grant ID: DP150100116

    Funder
    Australian Research Council
    Funding Amount
    $286,424.00
    Summary
    Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the .... Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the understanding of young children's physical activity behaviour, and is expected to have important implications for the design of accurate and effective technology-based physical activity monitoring and intervention applications that could be delivered through the e-health initiative in Australia.
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