IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254185.html
   My bibliography  Save this article

Predicting binge drinking among university students: Application of integrated behavioral model

Author

Listed:
  • Hordofa Gutema
  • Yamrot Debela
  • Bizuayehu Walle
  • Kidist Reba
  • Tebkew Shibabaw
  • Tolera Disasa

Abstract

Background: Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs. Objective: To assess binge drinking and associated factors among Bahir Dar University students in Northwest Ethiopia. Method: A cross sectional study was conducted in November 2017. Systematic sampling technique was used to select 422 participants. Structured questionnaire was used to collect data. Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. Independent variables with a p-value of

Suggested Citation

  • Hordofa Gutema & Yamrot Debela & Bizuayehu Walle & Kidist Reba & Tebkew Shibabaw & Tolera Disasa, 2021. "Predicting binge drinking among university students: Application of integrated behavioral model," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-10, July.
    • Handle: RePEc:plo:pone00:0254185
    DOI: 10.1371/journal.pone.0254185
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254185
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254185&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0254185?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0254185. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.