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Davis Dissertation 2016.pdf (2.25 MB)
ETD Abstract Container
Abstract Header
Using the Theory of Planned Behavior to Predict Employing Harm Reduction Strategies Among Ecstasy Users
Author Info
Davis, Alan Kooi
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431595589
Abstract Details
Year and Degree
2016, Doctor of Philosophy (Ph.D.), Bowling Green State University, Psychology/Clinical.
Abstract
I designed two studies to evaluate the Theory of Planned Behavior (TPB; Attitudes, Subjective Norms, Perceived Behavioral Control, Intention) plus Habit Strength (i.e., habitual engagement in a behavior) as a model predicting how often ecstasy users engaged in three specific harm reduction strategies. In study one I recruited 136 participants from several websites to complete baseline TPB and Habit Strength measures in relation to hydrating (drinking water/electrolyte-rich beverages) and pre/post-loading (consuming vitamins/supplements) while using MDMA/ecstasy. I also included Passionate Attachment to using MDMA/ecstasy as a predictor of Intention to engage in both strategies. After two months, participants reported how often they hydrated and pre/post-loaded during the study. The regression model predicting Intention to pre/post-load was significant, and Attitudes was the only significant predictor. The regression model predicting pre/post-loading at follow-up was also significant, and Intention and Habit Strength were significant predictors. The regression model predicting Intention to hydrate was significant, and Attitudes and Perceived Behavioral Control were significant predictors. However, the regression model predicting hydration during the two-month follow-up was not significant. In study two I recruited 100 participants from Facebook to complete baseline TPB and Habit Strength measures in relation to pre/post-loading and pill-testing/checking (i.e., attempting to determine chemical composition of ecstasy) while using MDMA/ecstasy. After two months, participants reported how often they pre/post-loaded and pill tested/checked during the study. The regression model predicting Intention to pre/post-load was significant, and Attitudes was the only significant predictor. The regression model predicting pre/post-loading at follow-up was also significant, and Habit Strength was the only significant predictor. The regression model predicting Intention to pill test/check was significant, and all three TPB variables were significant predictors. The regression model predicting pill testing/checking at follow-up was also significant, and Intention was the only significant predictor. These findings provide partial support for TPB variables as a model predicting Intention to implement and actual use of three harm reduction strategies by MDMA/ecstasy users. Clinicians, harm reduction workers, and researchers should evaluate whether education regarding the benefits and importance of implementing these strategies increases Intention to implement and actual use of these strategies among MDMA/ecstasy users.
Committee
Harold Rosenberg (Committee Chair)
John Tisak (Committee Member)
Robert Carels (Committee Member)
Melissa Burek (Committee Member)
Pages
97 p.
Subject Headings
Clinical Psychology
Keywords
Harm Reduction
;
MDMA
;
Ecstasy
;
Theory of Planned Behavior
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Refworks
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Citations
Davis, A. K. (2016).
Using the Theory of Planned Behavior to Predict Employing Harm Reduction Strategies Among Ecstasy Users
[Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431595589
APA Style (7th edition)
Davis, Alan.
Using the Theory of Planned Behavior to Predict Employing Harm Reduction Strategies Among Ecstasy Users.
2016. Bowling Green State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431595589.
MLA Style (8th edition)
Davis, Alan. "Using the Theory of Planned Behavior to Predict Employing Harm Reduction Strategies Among Ecstasy Users." Doctoral dissertation, Bowling Green State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431595589
Chicago Manual of Style (17th edition)
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Document number:
bgsu1431595589
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Copyright Info
© 2015, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.