What predicts marijuana use intentions among Iranian university students?
Attitudes and perceived behavioral control were the strongest predictors of marijuana use intentions among Iranian university students.
Quick Facts
What This Study Found
In a sample of 166 Iranian university students, attitudes toward marijuana and perceived behavioral control significantly predicted intentions to use, while subjective norms (peer pressure) did not reach significance in the full model.
Key Numbers
166 participants surveyed; attitudes (β = 0.42) and perceived behavioral control (β = 0.31) were significant predictors of intention.
How They Did This
Cross-sectional survey of 166 university students in Iran using Theory of Planned Behavior framework with structural equation modeling.
Why This Research Matters
Most cannabis intention research comes from Western countries. This study offers a rare look at how psychological predictors of cannabis use operate in a very different cultural and legal context.
The Bigger Picture
The findings suggest that personal attitudes matter more than peer pressure in predicting cannabis use intentions, at least in this cultural context, which could inform prevention strategies.
What This Study Doesn't Tell Us
Small convenience sample from one university in Iran; cross-sectional design cannot establish causality; self-report measures in a context where cannabis is illegal may introduce response bias.
Questions This Raises
- ?Would these predictive patterns hold in larger, representative Iranian samples?
- ?How do cultural and legal factors shape the relative importance of attitudes vs. social norms?
Trust & Context
- Key Stat:
- Attitudes (β = 0.42) were the strongest predictor of marijuana use intention
- Evidence Grade:
- Preliminary: small convenience sample, single university, cross-sectional design.
- Study Age:
- Published 2016.
- Original Title:
- Extension of the Theory of Planned Behavior (TPB) to Predict Patterns of Marijuana Use among Young Iranian Adults.
- Published In:
- International journal of environmental research and public health, 17(6) (2020)
- Authors:
- Jalilian, Farzad, Mirzaei-Alavijeh, Mehdi, Ahmadpanah, Mohammad, Mostafaei, Shayan, Kargar, Mehdi, Pirouzeh, Razieh, Sadeghi Bahmani, Dena, Brand, Serge
- Database ID:
- RTHC-02631
Evidence Hierarchy
A snapshot of a population at one point in time.
What do these levels mean? →Frequently Asked Questions
What predicted marijuana use intentions most strongly?
Personal attitudes toward marijuana (β = 0.42) were the strongest predictor, followed by perceived behavioral control (β = 0.31).
Did peer pressure predict marijuana use intentions?
Subjective norms (peer/social pressure) did not significantly predict intentions in the full model, suggesting personal attitudes mattered more in this context.
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Cite This Study
https://rethinkthc.com/research/RTHC-02631APA
Jalilian, Farzad; Mirzaei-Alavijeh, Mehdi; Ahmadpanah, Mohammad; Mostafaei, Shayan; Kargar, Mehdi; Pirouzeh, Razieh; Sadeghi Bahmani, Dena; Brand, Serge. (2020). Extension of the Theory of Planned Behavior (TPB) to Predict Patterns of Marijuana Use among Young Iranian Adults.. International journal of environmental research and public health, 17(6). https://doi.org/10.3390/ijerph17061981
MLA
Jalilian, Farzad, et al. "Extension of the Theory of Planned Behavior (TPB) to Predict Patterns of Marijuana Use among Young Iranian Adults.." International journal of environmental research and public health, 2020. https://doi.org/10.3390/ijerph17061981
RethinkTHC
RethinkTHC Research Database. "Extension of the Theory of Planned Behavior (TPB) to Predict..." RTHC-02631. Retrieved from https://rethinkthc.com/research/jalilian-2020-extension-of-the-theory
Access the Original Study
Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.