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    Examining the Correlates of Online Health Information–Seeking Behavior Among Men Compared With Women

    Access Status
    Fulltext not available
    Authors
    Nikoloudakis, I.
    Vandelanotte, C.
    Rebar, Amanda
    Schoeppe, S.
    Alley, S.
    Duncan, M.
    Short, C.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Nikoloudakis, I. and Vandelanotte, C. and Rebar, A. and Schoeppe, S. and Alley, S. and Duncan, M. and Short, C. 2018. Examining the Correlates of Online Health Information–Seeking Behavior Among Men Compared With Women. American Journal of Men's Health. 12 (5): pp. 1358-1367.
    Source Title
    American Journal of Men's Health
    DOI
    10.1177/1557988316650625
    ISSN
    1557-9883
    School
    School of Psychology
    URI
    http://hdl.handle.net/20.500.11937/71431
    Collection
    • Curtin Research Publications
    Abstract

    © The Author(s) 2016. This study aimed to identify and compare the demographic, health behavior, health status, and social media use correlates of online health-seeking behaviors among men and women. Cross-sectional self-report data were collected from 1,289 Australian adults participating in the Queensland Social Survey. Logistic regression analyses were used to identify the correlates of online health information seeking for men and women. Differences in the strength of the relation of these correlates were tested using equality of regression coefficient tests. For both genders, the two strongest correlates were social media use (men: odds ratio [OR] = 2.57, 95% confidence interval [CI: 1.78, 3.71]; women: OR = 2.93, 95% CI [1.92, 4.45]) and having a university education (men: OR = 3.63, 95% CI [2.37, 5.56]; women: OR = 2.74, 95% CI [1.66, 4.51]). Not being a smoker and being of younger age were also associated with online health information seeking for both men and women. Reporting poor health and the presence of two chronic diseases were positively associated with online health seeking for women only. Correlates of help seeking online among men and women were generally similar, with exception of health status. Results suggest that similar groups of men and women are likely to access health information online for primary prevention purposes, and additionally that women experiencing poor health are more likely to seek health information online than women who are relatively well. These findings are useful for analyzing the potential reach of online health initiatives targeting both men and women.

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