ArticleDrug and alcohol dependence2014
Using structural equation modeling to understand prescription stimulant misuse: a test of the Theory of Triadic Influence.
Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Screening and vaccination as determined by the Social Ecological Model and the Theory of Triadic Influence: a systematic review.BMC public health · 2016Pooled it
- Preventing Prescription Stimulant Diversion and Misuse via a Web-Based Intervention: A Randomized Controlled Trial.Journal of attention disorders · 2026Trial
- Preventing prescription stimulant diversion and misuse through brief intervention: Moderators and secondary outcomes from a randomized controlled trial.Experimental and clinical psychopharmacology · 2026Trial
- The impact of a theory-based web-intervention on the intention to use prescription drugs for non-medical purposes among college students: a randomized controlled trial.Health education research · 2019Trial
- Who Persists and Who Desists? A Prospective Study of Prescription Stimulant Misuse in College Graduates.Journal of drug issues · 2024Article
- A flexible mixed-data model applied to claims data for post-market surveillance of prescription drug safety behavior.Pharmaceutical statistics · 2022Article
- Prescription stimulant diversion on a college campus: Intrapersonal, interpersonal and environmental correlates.Journal of drug issues · 2020Article
- Exploring Treatment Needs and Expectations for People Living with HIV in South Africa: A Qualitative Study.AIDS and behavior · 2018Article
- Positive outcome expectancy mediates the relationship between social influence and Internet addiction among senior high-school students.Journal of behavioral addictions · 2018Article
- A Mixed-Methods Approach Examining Illicit Prescription Stimulant Use: Findings From a Northern California University.The journal of primary prevention · 2017Article
- Health-compromising practices of undergraduate college students: Examining racial/ethnic and gender differences in characteristics of prescription stimulant misuse.Addictive behaviors · 2017Article
- Article
- Prescription stimulant misuse avoidance self-efficacy: Correlates and moderation by race/ethnicity.Journal of ethnicity in substance abuseArticle
- SOCIO-EMOTIONAL AND CHARACTER DEVELOPMENT: A Theoretical Orientation.Journal of character educationArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveTo test a theory-driven model of health behavior to predict the illicit use of prescription stimulants (IUPS) among college students.
participantsA probability sample of 554 students from one university located in California (response rate=90.52%).
methodsStudents 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).
resultsApproximately 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.
conclusionsResults 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.