University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Melbourne School of Population and Global Health
  • Melbourne School of Population and Global Health - Research Publications
  • View Item
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Melbourne School of Population and Global Health
  • Melbourne School of Population and Global Health - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Weight and place: a multilevel cross-sectional survey of area-level social disadvantage and overweight/obesity in Australia

    Thumbnail
    Citations
    Altmetric
    Author
    King, T; Kavanagh, A. M.; JOLLEY, D.; TURRELL, G.; CRAWFORD, D.
    Date
    2005
    Source Title
    International Journal of Obesity
    University of Melbourne Author/s
    King, Tania; Kavanagh, Anne; Turrell, Gavin
    Affiliation
    Medicine, Dentistry and Health Sciences: Key Centre for Women's Health in Society
    Metadata
    Show full item record
    Document Type
    Journal (Paginated)
    Citations
    King, T., Kavanagh, A. M., Jolley, D., Turrell, G., & Crawford, D. (2005). Weight and place: a multilevel cross-sectional survey of area-level social disadvantage and overweight/obesity in Australia. International Journal of Obesity, 1-7.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/33450
    Description

    Publisher’s permission requested and denied.

    Abstract
    OBJECTIVE: To estimate variation between small areas in adult body mass index (BMI), and assess the importance of area level socioeconomic disadvantage in predicting BMI. METHODS: We identified all census collector districts (CCDs) in the 20 innermost Local Government Areas in metropolitan Melbourne, Australia, and ranked them by the percentage of low income households (o$400/week). In all, 50 CCDs were randomly selected from the least, middle and most disadvantaged septiles of the ranked list and 4913 residents (61.4% participation rate) completed one of two surveys. Multilevel linear regression was used to estimate area level variance in BMI and the importance of area level socioeconomic disadvantage in predicting BMI. RESULTS: There were significant variations in BMI between CCDs for women, even after adjustment for individual and area SES (P¼0.012); significant area variation was not found for men. Living in the most versus least disadvantaged areas was associated with an average difference in BMI of 1.08 kg/m2 (95% CI: 0.48–1.68 kg/m2) for women, and of 0.93 kg/m2 (95% CI: 0.32–1.55 kg/m2) for men. Living in the mid versus least disadvantaged areas were associated with an average difference in BMI of 0.67 kg/m2 (95% CI: 0.09–1.26 kg/m2) for women, and 0.43 kg/m2 for men (95% CI: 0.16–1.01). CONCLUSION: These findings suggest that area disadvantage is an important predictor of adult BMI, and support the need to focus on improving local environments to reduce socioeconomic inequalities in overweight and obesity.
    Keywords
    body mass index; socioeconomic position; multilevel analysis; health inequalities

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Melbourne School of Population and Global Health - Research Publications [4369]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors