Record Details
Using Structural Equation Modeling to Understand Prescription Stimulant Misuse: A Test of the Theory of Triadic Influence
ScholarsArchive at Oregon State University
| Field | Value |
|---|---|
| Title | Using Structural Equation Modeling to Understand Prescription Stimulant Misuse: A Test of the Theory of Triadic Influence |
| Names |
Bavarian, Niloofar
(creator) Flay, Brian R. (creator) Ketcham, Patricia L. (creator) Smit, Ellen (creator) Kodama, Cathy (creator) Martin, Melissa (creator) Saltz, Robert F. (creator) |
| Date Issued | 2014-05-01 (iso8601) |
| Note | This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/drug-and-alcohol-dependence/. |
| Abstract | OBJECTIVE: To test a theory-driven model of health behavior to predict the illicit use of prescription stimulants (IUPS) among college students. PARTICIPANTS: A probability sample of 554 students from one university located in California (response rate = 90.52%). METHODS: Students completed a paper-based survey developed with guidance from the Theory of Triadic Influence. We first assessed normality of measures and checked for multicollinearity. A single structural equation model of frequency of IUPS in college was then tested using constructs from the theory’s three streams of influence (i.e., intrapersonal, social situation/context, and sociocultural environment) and four levels of causation (i.e., ultimate causes, distal influences, proximal predictors, and immediate precursors). RESULTS: Approximately 18% of students reported engaging in IUPS during college, with frequency of use ranging from never to 40 or more times per academic term. The model tested had strong fit and the majority of paths specified within and across streams were significant at the p<0.01 level. Additionally, 46% of the variance in IUPS frequency was explained by the tested model. CONCLUSIONS: Results suggest the utility of the TTI as an integrative model of health behavior, specifically in predicting IUPS, and provide insight on the need for multifaceted prevention and intervention efforts. |
| Genre | Article |
| Topic | prescription stimulants |
| Identifier | Bavarian, N., Flay, B. R., Ketcham, P. L., Smit, E., Kodama, C., Martin, M., & Saltz, R. F. (2014). Using structural equation modeling to understand prescription stimulant misuse: A test of the Theory of Triadic Influence. Drug and Alcohol Dependence, 138, 193-201. doi.10.1016/j.drugalcdep.2014.02.700 |
