The Role of Depressive and Panic Symptoms in Predicting Cannabis Use Cognitive Processes and Quit Behavior

dc.contributor.advisorZvolensky, Michael J.
dc.contributor.committeeMemberAlfano, Candice A.
dc.contributor.committeeMemberBonn-Miller, Marcell O.
dc.creatorFarris, Samantha G. 2012 2012
dc.description.abstractDespite the high rates of anxiety/mood disorders among cannabis dependent individuals, there is little research on the role of panic and depressive symptoms among Veterans – a population with high rates of substance use-anxiety and mood comorbidity. The current study examined the main and interactive effects of panic and depressive symptoms on maladaptive expectations and motives for cannabis use, cannabis-related problems, and quit behavior among cannabis-dependent Veterans. Method: Participants (n = 100) were cannabis dependent Veterans participating in a cannabis self-guided quit study. Panic/depressive symptoms were assessed prior to the quit-attempt using two subscales of the Inventory of Depression and Anxiety Symptoms (IDAS); expectancies were assessed using the Marijuana Effect Expectancies Questionnaire–Tension Reduction/Relaxation subscale (MEEQ); motives were assessed using the Marijuana Motives Questionnaire–Coping subscale (MMQ). Pre-quit cannabis-use problems were assessed with the Marijuana Problems Scale (MPS); Substance use prior and following the quit-attempt was assessed with the Timeline Follow-Back (TLFB). A series of hierarchical regression-based models were conducted: Pre-quit cannabis and other substance use were entered as covariates, followed by the main effects of IDAS subscales, then the interaction. Results: The interaction term significantly predicted MEEQ-Tension Reduction/Relaxation, with highest scores reported among those with high IDAS-Depression and Panic scores. The interaction term also was significantly predictive of MMQ-Coping, and was highest among those with high IDAS-Depression and low IDAS-Panic scores. IDAS-Depression was uniquely predictive of greater cannabis problems on the MPS. Regarding quit behavior, IDAS-Panic was marginally predictive of time to relapse in the first 28 days post-quit attempt, with higher scores predicting an increased risk for relapse. Additionally, IDAS-Panic significantly interacted with time to predict fewer percent days abstinent and more cannabis use per use occasion during follow-up. Conclusion: Findings are discussed in relation to the existing literature on anxiety/depressive symptoms in relation to cannabis use processes and quit behavior.
dc.description.departmentPsychology, Department of
dc.format.digitalOriginborn digital
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.titleThe Role of Depressive and Panic Symptoms in Predicting Cannabis Use Cognitive Processes and Quit Behavior
dc.type.genreThesis of Liberal Arts and Social Sciences, Department of, Clinical of Houston of Arts


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