Godbole Suneeta, Leroux Andrew, Brooks-Russell Ashley, Subramanian Prem S, Kosnett Michael J, Wrobel Julia
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Injury and Violence Prevention Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Digit Biomark. 2024 Apr 26;8(1):83-92. doi: 10.1159/000538561. eCollection 2024 Jan-Dec.
Given the traffic safety and occupational injury prevention implications associated with cannabis impairment, there is a need for objective and validated measures of recent cannabis use. Pupillary light response may offer an approach for detection.
Eighty-four participants (mean age: 32, 42% female) with daily, occasional, and no-use cannabis use histories participated in pupillary light response tests before and after smoking cannabis ad libitum or relaxing for 15 min (no use). The impact of recent cannabis consumption on trajectories of the pupillary light response was modeled using functional data analysis tools. Logistic regression models for detecting recent cannabis use were compared, and average pupil trajectories across cannabis use groups and times since light test administration were estimated.
Models revealed small, significant differences in pupil response to light after cannabis use comparing the occasional use group to the no-use control group, and similar statistically significant differences in pupil response patterns comparing the daily use group to the no-use comparison group. Trajectories of pupillary light response estimated using functional data analysis found that acute cannabis smoking was associated with less initial and sustained pupil constriction compared to no cannabis smoking.
These analyses show the promise of pairing pupillary light response and functional data analysis methods to assess recent cannabis use.
鉴于大麻损害对交通安全和职业伤害预防的影响,需要有客观且经过验证的近期大麻使用量度方法。瞳孔对光反应可能提供一种检测方法。
84名参与者(平均年龄:32岁,42%为女性),他们有每日、偶尔使用和不使用大麻的历史,在随意吸食大麻或放松15分钟(不使用)前后参加了瞳孔对光反应测试。使用功能数据分析工具对近期大麻消费对瞳孔对光反应轨迹的影响进行建模。比较了用于检测近期大麻使用的逻辑回归模型,并估计了大麻使用组和自进行光测试以来不同时间的平均瞳孔轨迹。
模型显示,偶尔使用组与不使用对照组相比,使用大麻后瞳孔对光反应存在微小但显著的差异,每日使用组与不使用对照组相比,瞳孔反应模式也存在类似的统计学显著差异。使用功能数据分析估计的瞳孔对光反应轨迹发现,与不吸食大麻相比,急性吸食大麻与初始和持续瞳孔收缩较少有关。
这些分析表明,将瞳孔对光反应与功能数据分析方法相结合来评估近期大麻使用具有前景。