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Current Selection
Status : Active
Field of Research : Behavioural epidemiology
Research Topic : Behavioural problems
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Behavioural epidemiology (3)
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100635

    Funder
    Australian Research Council
    Funding Amount
    $448,801.00
    Summary
    Understanding the development of lifestyle behaviours in early childhood. This project adopts novel statistical modelling and machine learning approaches to understand the development of lifestyle behaviours in early childhood. Despite the pivotal role of lifestyle behaviours in influencing health and quality of life, little research exists on lifestyle behaviours in early childhood. This project will establish a comprehensive understanding of lifestyle behaviours in early childhood by identifyi .... Understanding the development of lifestyle behaviours in early childhood. This project adopts novel statistical modelling and machine learning approaches to understand the development of lifestyle behaviours in early childhood. Despite the pivotal role of lifestyle behaviours in influencing health and quality of life, little research exists on lifestyle behaviours in early childhood. This project will establish a comprehensive understanding of lifestyle behaviours in early childhood by identifying key developmental time points, mechanisms of behavioural change, and children at risk of developing poor lifestyle behaviours. The project will inform strategies and policies to optimise lifestyle behaviours from the start of life and showcase the capabilities of novel methods in advancing behavioural epidemiology.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240100689

    Funder
    Australian Research Council
    Funding Amount
    $682,134.00
    Summary
    Drivers of ageing and adaptive ageing in middle-aged and older adults. This project aims to answer crucial questions about how our early years influence our health and wellbeing in middle and later life. Drawing on one of Australia’s longest running studies of social and emotional development, we link decades of developmental data collected since 1983 to social, emotional, cognitive and physical wellbeing in participants turning 40 (midlife) and 70 (later life). It will provide insight into impo .... Drivers of ageing and adaptive ageing in middle-aged and older adults. This project aims to answer crucial questions about how our early years influence our health and wellbeing in middle and later life. Drawing on one of Australia’s longest running studies of social and emotional development, we link decades of developmental data collected since 1983 to social, emotional, cognitive and physical wellbeing in participants turning 40 (midlife) and 70 (later life). It will provide insight into important and largely unanswered questions about the way social factors in the first half of life shape our later selves. This study will inform government and health policy targeting ageing populations.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230101174

    Funder
    Australian Research Council
    Funding Amount
    $443,154.00
    Summary
    Harnessing life-course transitions to optimise time-use behaviour habits. At every stage of life, how we use our time is one of the greatest determinants of our happiness, productivity, social wellbeing and quality of life. Time-use habits, for better or worse, are entrenched in daily routines that are difficult to break. This project aims to use existing population datasets to identify when during their life people are most likely to change their time-use habits, and to describe who may be at g .... Harnessing life-course transitions to optimise time-use behaviour habits. At every stage of life, how we use our time is one of the greatest determinants of our happiness, productivity, social wellbeing and quality of life. Time-use habits, for better or worse, are entrenched in daily routines that are difficult to break. This project aims to use existing population datasets to identify when during their life people are most likely to change their time-use habits, and to describe who may be at greatest risk of making unfavourable changes (e.g., replacing physical activity with sedentary time, not getting enough sleep). Expected outcomes include new analytical methods to understand time-use routines and new knowledge to inform future time-use improvement strategies to enable Australians to live their best life.
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    Showing 1-3 of 3 Funded Activites

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