Cammie Lam1, Wilma Figueroa1, Kyle Yomogida1, Niloofar Bavarian2. 1. California State University, Long Beach, 1250 Bellflower Blvd, Long Beach, CA 90840. 2. Health Science Department, California State University Long, Beach, 1250 Bellflower Blvd, Long Beach, CA 90840.
Abstract
INTRODUCTION: Prescription stimulant diversion is a behavior that increases the availability and accessibility of prescription stimulants for purposes such as misuse. As such, we aimed to develop a theory-guided understanding of diversion correlates. METHODS: Data are from a probability sample of 499 undergraduate college students attending one California university. Participants completed a 100-item survey related to prescription stimulant misuse and diversion. We first calculated prevalence of diversion and associations with demographic variables. Next, to examine intrapersonal, interpersonal and environmental correlates of diversion, we estimated three separate nested logistic regression models. RESULTS: Prescription stimulant diversion was reported by approximately 10% of the sample. In the nested logistic analyses, diversion was found to be associated with intrapersonal, interpersonal and environmental variables. CONCLUSIONS: These findings highlight the importance of examining a comprehensive set of correlates to identify subgroups of students at risk for engaging in sharing and/or selling of prescription stimulants.
INTRODUCTION: Prescription stimulant diversion is a behavior that increases the availability and accessibility of prescription stimulants for purposes such as misuse. As such, we aimed to develop a theory-guided understanding of diversion correlates. METHODS: Data are from a probability sample of 499 undergraduate college students attending one California university. Participants completed a 100-item survey related to prescription stimulant misuse and diversion. We first calculated prevalence of diversion and associations with demographic variables. Next, to examine intrapersonal, interpersonal and environmental correlates of diversion, we estimated three separate nested logistic regression models. RESULTS: Prescription stimulant diversion was reported by approximately 10% of the sample. In the nested logistic analyses, diversion was found to be associated with intrapersonal, interpersonal and environmental variables. CONCLUSIONS: These findings highlight the importance of examining a comprehensive set of correlates to identify subgroups of students at risk for engaging in sharing and/or selling of prescription stimulants.
Entities:
Keywords:
College Students; Diversion; Misuse; Prescription stimulants; Theory of Triadic Influence
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