Trajectories of Nicotine and Cannabis Vaping and Polyuse From Adolescence to Young Adulthood.
Trajectories of Nicotine and Cannabis Vaping and Polyuse From Adolescence to Young Adulthood.
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DOI：
10.1001/jamanetworkopen.2020.19181
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发表时间：
2020-10-01
影响因子：
13.8
通讯作者：
Leventhal AM
中科院分区：
文献类型：
--
作者：
Lanza HI;Barrington-Trimis JL;McConnell R;Cho J;Braymiller JL;Krueger EA;Leventhal AM
这项队列研究评估了南加州从青春期后期到成年早期尼古丁和大麻电子烟的发展轨迹。尼古丁vaping和大麻vaping遵循类似的发展轨迹吗？从青春期后期到成年早期，多物质vaping是否很常见？在这项对3322名青少年的队列研究中，尼古丁电子烟和大麻电子烟的发展轨迹相似，其特征在于使用频率和发展时间。轨迹反映更频繁的尼古丁vaping的年轻人在大麻使用轨迹中有很高的可能性。在这项研究中，从青春期后期到成年早期，多物质电子烟很常见，特别是在那些报告更频繁使用电子烟的人中。关于青少年和青年时期的大麻吸电子烟轨迹或与尼古丁吸电子烟的共同发生，人们知之甚少。评估从青春期后期到青年期（≥18岁）的尼古丁电子烟和大麻电子烟轨迹以及多物质电子烟的程度。在这项前瞻性队列研究中，在加州洛杉矶的10所高中完成了5项调查（包括有关物质vaped的信息）。从11年级秋季（2015年10月至12月;第5波）到12年级春季（2017年3月至6月;第8波），每隔6个月对学生进行一次调查，并在高中毕业后约1至2年（2018年10月至2019年10月;第9波）再次进行调查。过去30天的尼古丁和大麻vaping频率跨越5波。自我报告的尼古丁vaping和大麻vaping的频率在过去30天内跨越5个时间点从青春期后期到年轻的成年。在每个波中，使用这些过去30天的使用频率测量轨迹。平行增长混合模型估计多物质蒸汽烟的条件概率。分析样本包括3322例至少有1个时间点数据的受试者（基线时平均[SD]年龄为16.50 [0.42]岁; 1777例[53.5%]女性; 1573例[47.4%]西班牙裔或拉丁裔）。生长混合物建模将5轨迹模型确定为尼古丁电子烟和大麻电子烟的最佳模型。尼古丁和大麻的轨迹相似（非使用者：尼古丁2246例[67.6%]，大麻2157例[64.9%];非频繁使用者：尼古丁566例[17.0%]，大麻608例[18.3%];中度使用者：尼古丁167例[5.0%]，大麻233例[7.0%];年轻成人发作频繁使用者：尼古丁213例[6.4%]，大麻190例[5.7%];发作期不断增加的频繁使用者：尼古丁131例[3.9%]，大麻134例[4.0%]）。与非使用者相比，男性属于尼古丁（调整后的比值比，2.88; 95%CI，1.58-5.23; P < .01）和大麻（调整后的比值比，1.95; 95%CI，1.03 -3.66; P < .05）频繁使用者的吸烟轨迹的发病率更高。多物质电子烟很常见，那些反映更频繁的尼古丁电子烟的轨迹（快速发作的频繁使用者和年轻的成人发作的频繁使用者）在大麻使用轨迹中具有很高的成员资格概率（分别为85%和93%）。在这项队列研究中，从青春期后期到成年早期，尼古丁vaping和大麻vaping的流行率和类型发展轨迹相似。从青春期后期到成年早期，多物质电子烟很常见，特别是在那些报告更频繁使用电子烟的人中。研究结果表明，公共卫生政策和临床干预措施应该解决青少年和青年时期的多物质电子烟问题。
This cohort study assesses the developmental trajectories of nicotine and cannabis vaping from late adolescence to young adulthood in Southern California. Do nicotine vaping and cannabis vaping follow similar developmental trajectories, and is polysubstance vaping common from late adolescence to young adulthood? In this cohort study of 3322 youths, developmental trajectories of nicotine vaping and cannabis vaping were similar and characterized by frequency and developmental timing of use. Youths in trajectories reflecting more frequent nicotine vaping had a high probability of membership in a cannabis-use trajectory. In this study, polysubstance vaping was common from late adolescence to young adulthood particularly among those reporting more frequent vaping use. Little is known about cannabis vaping trajectories across adolescence and young adulthood or the co-occurrence with nicotine vaping. To evaluate nicotine vaping and cannabis vaping trajectories from late adolescence to young adulthood (≥18 years of age) and the extent of polysubstance vaping. In this prospective cohort study, 5 surveys (including information on substance vaped) were completed at 10 high schools in the Los Angeles, California, metro area. Students were surveyed at 6-month intervals from fall of 11th grade (October to December 2015; wave 5) through spring of 12th grade (March to June 2017; wave 8) and again approximately 1 to 2 years after high school (October 2018 to October 2019; wave 9). Past 30-day nicotine and cannabis vaping frequency across 5 waves. Self-reported frequency of nicotine vaping and cannabis vaping within the past 30 days across 5 time points from late adolescence to young adulthood. Trajectories were measured with these past 30-day use frequencies at each wave. Parallel growth mixture modeling estimated conditional probabilities of polysubstance vaping. The analytic sample included 3322 participants with at least 1 time point of data (mean [SD] age, 16.50 [0.42] years at baseline; 1777 [53.5%] female; 1573 [47.4%] Hispanic or Latino). Growth mixture modeling identified the 5-trajectory model as optimal for both nicotine vaping and cannabis vaping. Trajectories for nicotine and cannabis vaping were similar (nonusers: 2246 [67.6%] nicotine, 2157 [64.9%] cannabis; infrequent users: 566 [17.0%] nicotine, 608 [18.3%] cannabis; moderate users: 167 [5.0%] nicotine, 233 [7.0%] cannabis; young adult–onset frequent users: 213 [6.4%] nicotine, 190 [5.7%] cannabis; adolescent-onset escalating frequent users: 131 [3.9%] nicotine, 134 [4.0%] cannabis). Males had greater odds of belonging to the adolescent-onset escalating frequent users nicotine (adjusted odds ratio, 2.88; 95% CI, 1.58-5.23; P < .01) and cannabis (adjusted odds ratio, 1.95; 95% CI,1.03-3.66; P < .05) vaping trajectories compared with nonusers. Polysubstance vaping was common, with those in trajectories reflecting more frequent nicotine vaping (adolescent-onset escalating frequent users and young adult–onset frequent users) having a high probability of membership (85% and 93%, respectively) in a cannabis-use trajectory. In this cohort study, the prevalence and type of nicotine vaping and cannabis vaping developmental trajectories from late adolescence to young adulthood were similar. Polysubstance vaping was common from late adolescence to young adulthood, particularly among those reporting more frequent vaping use. The findings suggest that public health policy and clinical interventions should address polysubstance vaping in both adolescence and young adulthood.
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影响因子：
2
作者：
Berg CJ;Payne J;Henriksen L;Cavazos-Rehg P;Getachew B;Schauer GL;Haardörfer R
通讯作者：
Haardörfer R
电子香烟尼古丁浓度与随后的香烟吸烟和青少年烟的关联。
影响因子：
26.1
作者：
Goldenson NI;Leventhal AM;Stone MD;McConnell RS;Barrington-Trimis JL
通讯作者：
Barrington-Trimis JL
DOI：
10.1111/j.1530-0277.2000.tb02070.x
发表时间：
2000-06-01
影响因子：
3.2
作者：
Muthén, B;Muthén, LK
通讯作者：
Muthén, LK
影响因子：
5.2
作者：
Delnevo, Cristine;Giovenco, Daniel P.;Hrywna, Mary
通讯作者：
Hrywna, Mary
影响因子：
5.2
作者：
Miech R;Patrick ME;O'Malley PM;Johnston LD
通讯作者：
Johnston LD