Incremental Predictive Validity of the Dualistic Model of Passion for Cannabis Use Among College Undergraduate Students With and Without a Cannabis Use Disorder.
Cannabis
; 6(3): 105-126, 2023.
Article
en En
| MEDLINE
| ID: mdl-38035170
Introduction: We examined whether the Dualistic Model of Passion (DMP; i.e., obsessive passion [OP] and harmonious passion [HP]) for cannabis use was prospectively associated with cannabis use and use-related outcomes, and with academic performance, relationship attachment style, and social connectedness among college students. We also explored whether the DMP was associated with outcomes when included in a model using established constructs (e.g., coping motives, refusal self-efficacy, cannabis use disorder [CUD] symptoms) as predictors of cannabis use and outcomes. Methods: Using a longitudinal cohort design (baseline, 5-month, 10-month [timepoints chosen to better correspond to 9-month academic year]), 513 undergraduate students from two universities who reported using cannabis at least four times in the past month completed a baseline survey (308 meeting criteria for CUD). We used Generalized Estimating Equations to assess longitudinal associations between OP/HP and cannabis use and academic/social outcomes at 5-month and 10-month. Results: At baseline, participants were young adults (Mean age = 20.57, SD = 2.51), 78.8% non-Hispanic, 83.8% White, 55.0% female, and 72.3% heterosexual. Greater HP was not associated with greater past month cannabis use or cannabis-related problems. Greater OP was associated with greater past month cannabis use and more cannabis-related problems. There were no significant passion by time interactions. Greater HP was associated with more anxious attachment. OP was associated with less social connection. Conclusion: This research suggests that the DMP provides novel information about factors associated with cannabis use and use-related consequences, which can aid in our understanding of cannabis use, misuse, and CUD among college students.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Cannabis
Año:
2023
Tipo del documento:
Article
Pais de publicación:
Estados Unidos