Hours high as a proxy for marijuana use quantity in intensive longitudinal designs.

Hours high as a proxy for marijuana use quantity in intensive longitudinal designs.
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DOI:
10.1016/j.drugalcdep.2022.109628
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发表时间:
2022-11-01
影响因子:
4.2
通讯作者:
Lee, Christine M.
Lee, Christine M.
中科院分区:
医学2区
文献类型:
--
作者:
Calhoun, Brian H.;Patrick, Megan E.;Fairlie, Anne M.;Graupensperger, Scott;Walukevich-Dienst, Katherine;Lee, Christine M.

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由于大麻产品的种类(例如,花、食用)和效力以及用于消费产品的方式(例如,吸烟、轻吸)差异很大,因此在调查研究中测量大麻使用量是复杂的。目前尚无黄金标准的大麻使用量计量方法用于调查研究。这项研究检验了在调查研究中,特别是在密集的纵向设计中,高小时数是否可以作为大麻使用量的代理。参与者来自一个社区的年轻人样本,他们参加了一项关于同时使用酒精和大麻的纵向研究,该研究使用了纵向测量-爆发设计,参与者在近两个日历年中连续14天完成多达5次的调查。那些报告在至少一个采样日使用大麻的人被纳入本分析(N = 379; Mage = 21.6; 50.7%为女性)。使用泊松多层模型和逻辑回归对假设进行检验。在人群中,特定模式的大麻使用量变量预测当天的高小时数,表明初始标准效度的证据。反过来,高小时数预测了当天与大麻相关的负面后果,表明了近端预测效度的证据。在人与人之间,参与者的平均高小时数与他们在最后一次爆发后可能出现大麻使用障碍的几率呈正相关,显示出远端预测效度。在调查研究中,特别是在密集的纵向设计中,高小时数可能是衡量大麻使用量(无论使用模式)的一个简洁的代理。
Measuring marijuana use quantity in survey research is complicated due to wide variation in the types (e.g., flower, edibles) and potency of marijuana products and in the modes (e.g., smoking, dabbing) used to consume products. There is currently no gold standard marijuana use quantity measure for survey research. This study examined whether number of hours high can be used as a proxy for marijuana use quantity in survey research, particularly in intensive longitudinal designs. Participants came from a community sample of young adults participating in a longitudinal study on simultaneous alcohol and marijuana use that used a longitudinal measurement-burst design in which participants completed surveys on up to 14 consecutive days in up to five bursts across nearly two calendar years. Those who reported using marijuana on at least one sampled day were included in present analyses (N = 379; Mage = 21.6; 50.7 % female). Hypotheses were tested using Poisson multilevel models and a logistic regression. Within persons, mode-specific marijuana use quantity variables predicted same-day number of hours high indicating evidence of initial criterion validity. In turn, hours high predicted same-day negative marijuana-related consequences indicating evidence of proximal predictive validity. Between persons, participants’ average number of hours high was positively associated with their odds of possible cannabis use disorder following the last burst demonstrating distal predictive validity. Number of hours high may be a parsimonious proxy for measuring marijuana use quantity (regardless of mode of use) in survey research, particularly in intensive longitudinal designs.
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