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    Physical activity and sedentary behavior clustering: segmentation to optimize active lifestyles

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    Authors
    Zwolinsky, Stephen
    McKenna, James
    Pringle, Andy
    Widdop, Paul
    Griffiths, Claire
    Mellis, Michelle
    Rutherford, Zoe
    Collins, Peter
    Affiliation
    Leeds Beckett University
    Issue Date
    2016-09
    
    Metadata
    Show full item record
    Abstract
    Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination. Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences. High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation. Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.
    Citation
    Zwolinsky, S., McKenna, J., Pringle, A., Widdop, P., Griffiths, C., Mellis, M., Rutherford, Z. and Collins, P., (2016). 'Physical activity and sedentary behavior clustering: segmentation to optimize active lifestyles'. Journal of Physical Activity and Health, 13(9), pp. 921-928.
    Publisher
    Human Kinetics
    Journal
    Journal of Physical Activity and Health
    URI
    http://hdl.handle.net/10545/625050
    DOI
    10.1123/jpah.2015-0307
    Additional Links
    https://journals.humankinetics.com/view/journals/jpah/13/9/article-p921.xml
    http://eprints.leedsbeckett.ac.uk/2415/
    Type
    Article
    Language
    en
    ISSN
    1543-3080
    EISSN
    1543-5474
    ae974a485f413a2113503eed53cd6c53
    10.1123/jpah.2015-0307
    Scopus Count
    Collections
    School of Human Sciences

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