• Login
    View Item 
    •   Home
    • Research Publications
    • Life & Natural Sciences
    • School of Human Sciences
    • View Item
    •   Home
    • Research Publications
    • Life & Natural Sciences
    • School of Human Sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: longitudinal evidence over one year from 185,245 visits

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Publisher version
    View Source
    Access full-text PDFOpen Access
    View Source
    Check access options
    Check access options
    Thumbnail
    Name:
    Author Prev Med.pdf
    Embargo:
    2021-11-20
    Size:
    932.8Kb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Download
    Authors
    Hobbs, Matthew
    Wicks, Claire
    Pringle, Andy
    Griffiths, Claire
    Radley, Duncan
    Zwolinsky, Stephen
    Affiliation
    University of Canterbury, Christchurch, Canterbury, New Zealand
    University of Essex
    University of Derby
    Leeds Beckett University
    West Yorkshire & Harrogate Cancer Alliance, Wakefield
    Issue Date
    2020-11-20
    
    Metadata
    Show full item record
    Abstract
    Understanding the determinants of attendance at public health interventions is critical for effective policy development. Most research focuses on individual-level determinants of attendance, while less is known about environmental-level determinants. Data were obtained from the Leeds Let’s Get Active (LLGA) public health intervention in Leeds, England. Longitudinal data (April 2015 – March 2016) on attendance were obtained for 25,745 individuals (185,245 visits) with baseline data on sociodemographic determinants (e.g. age), lifestyle practices (e.g. smoking) obtained for 3,621 individuals. This resulted in a total of 744,468 days of attendance and non-attendance for analysis. Random forests were used to explore relative importance of the determinants of attendance while generalised linear models were applied to examine specific associations. The probability that a person will go more than once, the number of return visits, and the probability that a person will go on a particular day were investigated. Distance to leisure centre from home was the most influential determinant in predicting whether a person who went to the leisure centre once, returned. Age group was the most substantial determinant for the number of return visits. While distance to leisure centre was less important for predicting the number of return visits, the difference between the estimates for 300m and 10,000m was 7-10 visits per year. Finally, month was the most important determinant of daily attendance. This longitudinal study highlights the importance of both individual and environmental determinants in predicting various aspects of attendance. It has implications for strategies aiming to increase attendance at public health interventions.
    Citation
    Hobbs, M., Moltchanova, E., Wicks, C., Pringle, A., Griffiths, C., Radley, D. and Zwolinsky, S., (2020). 'Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits'. Preventive Medicine, pp. 1-29.
    Publisher
    Elsiever
    Journal
    Preventive Medicine
    URI
    http://hdl.handle.net/10545/625428
    DOI
    10.1016/j.ypmed.2020.106334
    Additional Links
    https://www.journals.elsevier.com/preventive-medicine
    https://www.sciencedirect.com/science/article/pii/S0091743520303650
    Type
    Article
    Language
    en
    ISSN
    0091-7435
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ypmed.2020.106334
    Scopus Count
    Collections
    School of Human Sciences

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.