IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i1p671-684d31843.html
   My bibliography  Save this article

Correlates of Protective Motivation Theory (PMT) to Adolescents’ Drug Use Intention

Author

Listed:
  • Cynthia Sau Ting Wu

    (School of Nursing, the Hong Kong Polytechnic University, Hong Kong, China)

  • Ho Ting Wong

    (School of Nursing, the Hong Kong Polytechnic University, Hong Kong, China)

  • Lai Yan Chou

    (Tuen Mun Hospital, Hong Kong, China)

  • Bobby Pak Wai To

    (Alice Ho Ming Ling Nethersole Hospital, Hong Kong, China)

  • Wai Lok Lee

    (Queen Mary Hospital, Hong Kong, China)

  • Alice Yuen Loke

    (School of Nursing, the Hong Kong Polytechnic University, Hong Kong, China)

Abstract

Early onset and increasing proliferation of illicit adolescent drug-use poses a global health concern. This study aimed to examine the correlation between Protective Motivation Theory (PMT) measures and the intention to use drugs among adolescents. An exploratory quantitative correlation design and convenience sampling were adopted. A total of 318 students completed a self-reported questionnaire that solicited information related to their demographics and activities, measures of threat appraisal and coping appraisal, and the intention to use drugs. Logistic regression analysis showed that intrinsic and extrinsic rewards were significant predictors of intention. The odds ratios were equal to 2.90 ( p < 0.05) and 8.04 ( p < 0.001), respectively. The logistic regression model analysis resulted in a high Nagelkerke R 2 of 0.49, which suggests that PMT related measures could be used in predicting drug use intention among adolescents. Further research should be conducted with non-school adolescents to confirm the application.

Suggested Citation

  • Cynthia Sau Ting Wu & Ho Ting Wong & Lai Yan Chou & Bobby Pak Wai To & Wai Lok Lee & Alice Yuen Loke, 2014. "Correlates of Protective Motivation Theory (PMT) to Adolescents’ Drug Use Intention," IJERPH, MDPI, vol. 11(1), pages 1-14, January.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:1:p:671-684:d:31843
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/1/671/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/1/671/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hui-Lung Hsieh & Yu-Ming Kuo & Shiang-Ru Wang & Bi-Kun Chuang & Chung-Hung Tsai, 2016. "A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective," IJERPH, MDPI, vol. 14(1), pages 1-14, December.

    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:gam:jijerp:v:11:y:2014:i:1:p:671-684:d:31843. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.