Lee Jung Yeon, Brook Judith S, De La Rosa Mario, Kim Youngjin, Brook David W
a Department of Psychiatry , New York University School of Medicine , New York , NY , USA.
b Center for Research on U.S. Latino HIV/AIDS and Drug Abuse , Florida International University , Miami , FL , USA.
Am J Drug Alcohol Abuse. 2017 Nov;43(6):727-733. doi: 10.1080/00952990.2017.1288734. Epub 2017 Mar 1.
Due to the increasing prevalence of cannabis use disorder (CUD), the impact of cannabis use on public health may be significant.
The present study seeks the possible precursors (e.g., alcohol use) of CUD in order to minimize the potential negative consequences of CUD such as impaired coordination and performance.
The Harlem Longitudinal Development Study included 674 participants (53% African Americans, 47% Puerto Ricans), with 60% females (n=405) from a six wave survey. We used a growth mixture model to obtain the trajectories of alcohol use from the mean ages of 14 to 36. To examine the associations between alcohol use trajectories and CUD, we used logistic regression analyses with the indicator of CUD as the dependent variable and the indicator of membership in each trajectory group as the independent variables.
A three alcohol use trajectory group model was selected. Male gender, higher frequency of cannabis use in adolescence, and a lower educational level were associated with an increased likelihood of having CUD. Membership in the increasing alcohol use group (OR=27.44, p < .01; AOR=15.54, p < .01) and the moderate alcohol use group (OR=10.40, p < .05; AOR=8.63, p < .05) were associated with an increased likelihood of having CUD compared with the membership in the no or low alcohol use group.
The findings of our study support the hypothesis that addressing alcohol use at an early age could impact later CUD.
由于大麻使用障碍(CUD)的患病率不断上升,大麻使用对公众健康的影响可能很大。
本研究探寻CUD可能的先兆因素(如饮酒),以尽量减少CUD的潜在负面后果,如协调性和行为能力受损。
哈莱姆纵向发展研究纳入了674名参与者(53%为非裔美国人,47%为波多黎各人),来自一项六轮调查,其中60%为女性(n = 405)。我们使用生长混合模型来获取14至36岁平均年龄阶段的饮酒轨迹。为了检验饮酒轨迹与CUD之间的关联,我们使用逻辑回归分析,以CUD指标作为因变量,每个轨迹组的成员指标作为自变量。
选择了一个包含三种饮酒轨迹组的模型。男性、青少年时期更高的大麻使用频率以及较低的教育水平与患CUD的可能性增加相关。与不饮酒或低饮酒组的成员相比,饮酒量增加组(OR = 27.44,p <.01;调整后OR = 15.54,p <.01)和适度饮酒组(OR = 10.40,p <.05;调整后OR = 8.63,p <.05)的成员患CUD的可能性增加。
我们的研究结果支持这样的假设,即尽早解决饮酒问题可能会影响后期的CUD。