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  • A cross sectional cluster analysis of the combined association of physical activity and sleep with sociodemographic and health characteristics in mid aged and older adults

    Author(s)
    Rayward, Anna T
    Duncan, Mitch J
    Brown, Wendy J
    Plotnikoff, Ronald C
    Burton, Nicola W
    Griffith University Author(s)
    Burton, Nicola W.
    Year published
    2017
    Metadata
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    Abstract
    Objectives This study aimed to identify how different patterns of physical activity, sleep duration and sleep quality cluster together, and to examine how the identified clusters differ in terms of socio-demographic and health characteristics. Study design and outcome measures Participants were adults from Brisbane, Australia, aged 42–72 years who reported their physical activity, sleep duration, sleep quality, socio-demographic and health characteristics in 2011 (n = 5854). Two-step Cluster Analyses were used to identify clusters. Cluster differences in socio-demographic and health characteristics were examined using chi ...
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    Objectives This study aimed to identify how different patterns of physical activity, sleep duration and sleep quality cluster together, and to examine how the identified clusters differ in terms of socio-demographic and health characteristics. Study design and outcome measures Participants were adults from Brisbane, Australia, aged 42–72 years who reported their physical activity, sleep duration, sleep quality, socio-demographic and health characteristics in 2011 (n = 5854). Two-step Cluster Analyses were used to identify clusters. Cluster differences in socio-demographic and health characteristics were examined using chi square tests (p < 0.05). Results Four clusters were identified: ‘Poor Sleepers’ (31.2%), ‘Moderate Sleepers’ (30.7%), ‘Mixed Sleepers/Highly Active’ (20.5%), and ‘Excellent Sleepers/Mixed Activity’ (17.6%). The ‘Poor Sleepers’ cluster had the highest proportion of participants with less-than-recommended sleep duration and poor sleep quality, had the poorest health characteristics and a high proportion of participants with low physical activity. Conclusion Physical activity, sleep duration and sleep quality cluster together in distinct patterns and clusters of poor behaviours are associated with poor health status. Multiple health behaviour change interventions which target both physical activity and sleep should be prioritised to improve health outcomes in mid-aged adults.
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    Journal Title
    Maturitas
    Volume
    102
    DOI
    https://doi.org/10.1016/j.maturitas.2017.05.013
    Subject
    Clinical sciences
    Clinical sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/364279
    Collection
    • Journal articles

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    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
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    • Torres Strait Islander