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Sifting through the weeds: Relationships between cannabis use frequency measures and delay discounting.
Addictive Behaviors ( IF 3.7 ) Pub Date : 2020-07-24 , DOI: 10.1016/j.addbeh.2020.106573
Michael J Sofis 1 , Jacob T Borodovsky 2 , Chelsea K Pike 1 , Lili Liu 1 , Nicholas C Jacobson 1 , Alan J Budney 1
Affiliation  

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 = 0.11, d = 0.21), days of use (r = 0.09, d = 0.18), and the LCA index (r = 0.06, d = 0.13), but not weekly-monthly use (r = 0.04, d = 0.09). Times per day was more strongly related to DD than LCA classes (p < 0.01) and weekly-monthly use (p < 0.05), but not days of use (p = 0.66). Days of use exhibited a stronger relationship with DD than weekly-monthly use (p < 0.001), but not LCA classes (p = 0.06).

Conclusions

Cannabis use frequency measures with narrower timeframes may demonstrate stronger positive relationships to DD. The LCA index did not improve the relationship between frequency and DD, potentially because of shared variance between use days and times per day. Specific characteristics of cannabis use frequency may be particularly indicative of excessive DD.



中文翻译:

筛选杂草:大麻使用频率测量与延迟折扣之间的关系。

背景

延迟折扣 (DD) 与更频繁地使用大麻有关,但结果是可变的,这可能是因为使用综合措施还是单项措施的差异,以及措施的时间范围是窄还是宽。解释 DD 和大麻使用之间的关系可能是通过比较根据这些特征而变化的使用指数。

方法

这项对当前大麻使用者 ( n  = 1,800) 的在线研究评估了 DD 和三个大麻使用频率项目:过去一个月的使用天数、每天使用的次数和每周每月使用。通过潜在类别分析 (LCA) 得出的第四个指数整合了每月的天数和每天的次数,以尝试更好地表征频率模式。比较了反映大麻使用频率指数和 DD 之间关系的效应大小。

结果

LCA(低-中-高)中出现了三个频率等级。DD 与每日次数 ( r  = 0.11, d  = 0.21)、使用天数 ( r  = 0.09, d  = 0.18) 和 LCA 指数 ( r  = 0.06, d  = 0.13) 显着相关,但与每周-每月无关使用(r  = 0.04,d  = 0.09)。与 LCA 类别 ( p  < 0.01) 和每周每月使用 ( p  < 0.05) 相比,每天的次数与 DD 的相关性更强,但与使用天数无关 ( p  = 0.66)。使用天数与 DD 的关系比每周每月使用(p < 0.001)更强,但不是 LCA 类别(p  = 0.06)。

结论

大麻使用时间范围较窄的频率测量可能会显示出与 DD 更强的正相关关系。LCA 指数没有改善频率和 DD 之间的关系,这可能是因为使用天数和每天使用次数之间存在共享差异。大麻使用频率的特定特征可能特别表明 DD 过多。

更新日期:2020-08-14
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