Sifting through the weeds: Relationships between cannabis use frequency measures and delay discounting
| Autor: | Nicholas C. Jacobson, Chelsea K. Pike, Jacob T. Borodovsky, Michael J. Sofis, Alan J. Budney, Lili Liu |
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| Rok vydání: | 2021 |
| Předmět: |
Index (economics)
biology Delay discounting 030508 substance abuse Medicine (miscellaneous) Online study Cannabis use Toxicology biology.organism_classification Article Latent class model 03 medical and health sciences Psychiatry and Mental health Clinical Psychology 0302 clinical medicine Delay Discounting Latent Class Analysis Statistics Humans 030212 general & internal medicine Cannabis 0305 other medical science Mathematics |
| Zdroj: | Addict Behav |
| ISSN: | 0306-4603 |
| DOI: | 10.1016/j.addbeh.2020.106573 |
| Popis: | BACKGROUND: Delay Discounting (DD) relates to more frequent cannabis use, but results are variable, potentially because of variations in whether integrated or single-item measures are used, and whether the timeframe of measures is narrow or broad. Explicating the relationship between DD and cannabis use may result from comparing use indices that vary on these characteristics. METHODS: This online study of current cannabis users (n=1,800) assessed DD and three cannabis use frequency items: number of days of use in the past month, times used per day, and weekly-monthly use. A fourth index derived with Latent Class Analysis (LCA) integrated days per month and times per day to try to better characterize frequency patterns. Effect sizes reflecting relations between cannabis use frequency indices and DD were compared. RESULTS: Three frequency classes emerged from the LCA (Low-Moderate-High). DD was significantly associated with times per day (r=.11, d=.21), days of use (r=.09, d=.18), and the LCA index (r=.06, d=.13), but not weekly-monthly use (r=.04, d=.09). Times per day was more strongly related to DD than LCA classes (p |
| Databáze: | OpenAIRE |
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