Understanding Cannabis Dependence: A Dimensional Approach
Author Information
Author(s): Denson Thomas F, Earleywine Mitch
Primary Institution: University of Southern California
Hypothesis
Is cannabis dependence better conceptualized as a categorical or dimensional construct?
Conclusion
The study provides evidence that cannabis dependence is better understood as a dimensional structure rather than a categorical one.
Supporting Evidence
- Both taxometric methods provided support for a dimensional structure of cannabis dependence.
- The average MAXEIG curve revealed a concave shape, suggesting dimensionality.
- Base rate estimates varied widely, further indicating a dimensional structure.
Takeaway
This study shows that cannabis dependence isn't just about being dependent or not; it's more like a sliding scale where people can have different levels of dependence.
Methodology
Taxometric methods (MAXEIG and MAMBAC) were used to analyze data from the NESARC survey to determine the latent structure of cannabis dependence.
Limitations
The MAMBAC results were not entirely unequivocal, indicating some uncertainty in the findings.
Participant Demographics
Participants were 1,505 individuals (62% male; average age 31.22 years) who reported cannabis use.
Digital Object Identifier (DOI)
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