IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v34y1992i1p25-32.html
   My bibliography  Save this article

Explanation of vigorous physical activity during two years using social learning variables

Author

Listed:
  • Sallis, James F.
  • Hovell, Melbourne F.
  • Hofstetter, C.Richard
  • Barrington, Elizabeth

Abstract

This study examined determinants of vigorous physical activity in a community sample of adults over a 24-month period. Social learning theory predicts that causal relationships between determinants and behavior are bidirectional, and both the behavior and its influences are subjects to change over time. Thus, dynamic variables were expected to account for more variance in exercise change than static baseline variables. Over 86% of respondents to the baseline mail survey completed follow-up surveys 24 months later, yielding a final sample of 1739. Two physical activity change indices were constructed that were adjusted for baseline exercise and demographic variables, sp that the effects of social learning variables could be isolated. In a two-step hierarchical regression analysis, physical activity measures were regressed onto 21 static and six dynamic independent variables. Baseline self-efficacy was a significant predictor of exercise change for both dependent variables. Four dynamic social learning variables were significantly associated with both exercise change measures: self-efficacy, preceived barriers, family support, and friend support. Social learning variables accounted for 12.3-15.5% of the variance in exercise change over 24 months. The results provide strong support for bidirectional causation between behavior and determinants and suggest hypotheses to be tested in experimental studies.

Suggested Citation

  • Sallis, James F. & Hovell, Melbourne F. & Hofstetter, C.Richard & Barrington, Elizabeth, 1992. "Explanation of vigorous physical activity during two years using social learning variables," Social Science & Medicine, Elsevier, vol. 34(1), pages 25-32, January.
  • Handle: RePEc:eee:socmed:v:34:y:1992:i:1:p:25-32
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0277-9536(92)90063-V
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yingchao Cui & Zijun Xu & Yue Shi & Yingyan Wu & Cheng Lv & Qiuming Shen & Tian Shen & Yong Cai, 2019. "A path analysis model suggesting the association of information and beliefs with self-efficacy in osteoporosis prevention among middle-aged and older community residents in urban Shanghai, China," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-12, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:34:y:1992:i:1:p:25-32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.