Abstract：
BACKGROUND:Historically, cannabis researchers have assumed a single mode and product of cannabis (e.g., smoking plant). However, patterns of use, products (e.g., concentrates, edibles), and modes (e.g. blunts, vaporizers) are diversifying. This study sought to: 1) classify cannabis users into groups based on their use of the full range of cannabis products, and 2) examine user group differences on demographics, cannabis consequences and cannabis use disorder (CUD) symptomatology. METHODS:In a sample of college students (data collected in Fall 2017), who used cannabis in the past year (N = 1390), latent class analysis (LCA) was used to characterize cannabis users. We then added demographic characteristics, cannabis consequences, and CUD symptomatology scores separately to LCA models to examine class differences. RESULTS:Five unique classes emerged: high-frequency all-product users, high-frequency plant/moderate-frequency edible and concentrate users, low-frequency plant users, moderate-frequency plant and edible users, and low-frequency edible users. Demographic characteristics, cannabis consequences, and CUD symptomatology differed across classes characterized by frequency as well as product. CONCLUSIONS:Results reflect the increasing variety of cannabis products, modes, and use patterns among college students. In this sample, frequency of use remains a strong predictor of cannabis-related consequences, in addition to type of product. As variation in cannabis use patterns continue to evolve, it is essential for researchers to conduct comprehensive assessments.
journal_name
Addict Behavjournal_title
Addictive behaviorsauthors
Gunn RL,Aston ER,Sokolovsky AW,White HR,Jackson KMdoi
10.1016/j.addbeh.2020.106329subject
Has Abstractpub_date
2020-06-01 00:00:00pages
106329eissn
0306-4603issn
1873-6327pii
S0306-4603(19)30831-7journal_volume
105pub_type
杂志文章abstract：BACKGROUND:The science surrounding e-cigarettes and other electronic vaping products (EVPs) is rapidly evolving, and the health effects of vaping are unclear. Little research has explored how individuals respond to information acknowledging scientific uncertainty. The aim of the present study was to understand the impa...
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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doi：10.1016/j.addbeh.2011.03.006
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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doi：10.1016/j.addbeh.2016.05.011
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journal_title：Addictive behaviors
pub_type： 杂志文章,随机对照试验
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更新日期：2014-10-01 00:00:00
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
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journal_title：Addictive behaviors
pub_type： 杂志文章
doi：10.1016/0306-4603(95)00098-4
更新日期：1996-09-01 00:00:00
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journal_title：Addictive behaviors
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doi：10.1016/j.addbeh.2008.08.011
更新日期：2009-01-01 00:00:00
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journal_title：Addictive behaviors
pub_type： 杂志文章
doi：10.1016/j.addbeh.2009.09.024
更新日期：2010-02-01 00:00:00
abstract：BACKGROUND:In adolescence, psychological problems and regular use of alcohol, cigarettes, cannabis and other drugs (AOD) tend to cluster together, strongly indicating that certain groups of young people are at elevated risk of developing a problematic use of AOD. OBJECTIVE:The aim of the present study was to develop a...
journal_title：Addictive behaviors
pub_type： 杂志文章
doi：10.1016/j.addbeh.2016.09.005
更新日期：2017-02-01 00:00:00
