Borodovsky Jacob T, Hasin Deborah S, Shmulewitz Dvora, Walsh Claire, Livne Ofir, Aharonovich Efrat, Struble Cara A, Habib Mohammad I, Budney Alan J
Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA.
Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Hanover, New Hampshire, USA.
Cannabis Cannabinoid Res. 2024 Apr;9(2):646-658. doi: 10.1089/can.2022.0237. Epub 2022 Dec 26.
Standardized survey measures that capture diverse cannabis consumption patterns are needed to inform public health and policy. Our team is developing a flexible, personalized, low-burden survey item inventory to measure cannabis use patterns and estimate milligrams of THC (mgTHC) consumption in large samples. This study aimed to identify measurement gaps and analysis implications associated with an initial pool of candidate items that assessed use of cannabis flower and concentrate products (smoked and/or vaporized). Adult cannabis consumers (=4247) completed an online survey assessing cannabis use frequency, quantity, product types, product potencies (%THC), and methods of administration. Participants chose to report their consumption quantities using one of three units: "hits per day," "grams per week," or "joints per week." Respondents also indicated whether their past 7-day consumption pattern represented their typical pattern. Eighty-one percent had used cannabis daily in the past week. Thirty-two percent, 53%, and 15% chose to report flower and concentrate consumption quantity in hits, grams, and joints, respectively. Approximately 80-90% of responses for the number of hits, grams, and joints consumed were less than the maximum response option-suggesting that response options captured the full range of potential cannabis consumption behaviors. Those who chose grams or joints units were generally more likely to endorse higher risk cannabis use (e.g., morning use, high %THC products) in the past week than those who chose the hits unit (adjusted Odds Ratio range: 1.2-3.9). Among those who reported that the past week represented their typical behavior (83%), past 30-day and past 7-day frequencies were highly correlated (Spearman's Rho=0.77)-supporting the feasibility of using lower burden "typical week" items to extrapolate patterns beyond a 1-week time frame. Results from this online convenience sample of frequent cannabis consumers suggest that the current items yield coherent and expected response patterns. Although additional testing is required, a standardized, flexible survey instrument for large-scale assessment of cannabis patterns and calculation of mgTHC seems within reach.
需要采用能够反映不同大麻消费模式的标准化调查措施,为公共卫生和政策提供依据。我们的团队正在开发一种灵活、个性化、低负担的调查问卷项目库,以测量大麻使用模式,并估计大样本中四氢大麻酚(mgTHC)的摄入量。本研究旨在识别与评估大麻花朵和浓缩产品(烟熏和/或汽化)使用情况的初始候选项目池相关的测量差距和分析影响。成年大麻消费者(=4247人)完成了一项在线调查,评估大麻使用频率、数量、产品类型、产品效力(%THC)和给药方法。参与者选择使用以下三个单位之一报告其消费量:“每天吸食次数”、“每周克数”或“每周吸食卷烟数”。受访者还指出,他们过去7天的消费模式是否代表其典型模式。81%的人在过去一周每天使用大麻。分别有32%、53%和15%的人选择以吸食次数、克数和卷烟数报告花朵和浓缩产品的消费量。对于吸食次数、克数和卷烟数的回答,约80-90%低于最大回答选项,这表明回答选项涵盖了潜在大麻消费行为的全部范围。与选择吸食次数单位的人相比,选择克数或卷烟数单位的人在过去一周更有可能认可更高风险的大麻使用(例如,早上使用、高%THC产品)(调整后的优势比范围:1.2-3.9)。在报告过去一周代表其典型行为的人群中(83%),过去30天和过去7天的频率高度相关(斯皮尔曼等级相关系数=0.77),这支持了使用负担较轻的“典型周”项目来推断超出1周时间范围的模式的可行性。来自经常使用大麻的消费者的这个在线便利样本的结果表明,当前项目产生了连贯且预期的回答模式。尽管还需要进行额外测试,但一种用于大规模评估大麻模式和计算mgTHC的标准化、灵活的调查工具似乎指日可待。