Dynamic transitions between marijuana use and cigarette smoking among US adolescents and emerging adults.
Dynamic transitions between marijuana use and cigarette smoking among US adolescents and emerging adults.
复制标题
美国青少年和新兴成年人吸食大麻和吸烟之间的动态转变。
DOI：
10.1080/00952990.2018.1434535
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Wang,Yan
中科院分区：
文献类型：
--
作者：
Yu,Bin;Chen,Xinguang;Wang,Yan
背景：大麻和烟草被认为是两种密切相关的物质。随着美国越来越多的州将大麻合法化，了解大麻和香烟使用的相互影响具有重要意义。目的：本研究旨在探讨青少年和初成人大麻和香烟使用之间的转变。方法：以概率离散事件系统（PDES）理论为指导，构建了一个包含21条过渡路径的五阶段模型，量化大麻和香烟使用之间的动态过渡。这五个阶段分别是：enu：从不吸食大麻，MU：目前吸食大麻，CU：目前吸食香烟，MCU：目前吸食大麻和香烟，fu：曾经吸食大麻。采用2013年全国药物使用与健康调查数据（N= 26,665，男性50.45%）对所提出的五阶段PDES模型进行检验。利用Moore-Penrose广义逆矩阵法估计了转移概率。结果：青少年中有51.14%的人曾过渡到吸食大麻（MCU/MU），高于先吸食大麻后转吸香烟（MCU/CU）的比例（41.66%）。戒烟率forMUs为29.38%，cusu为25.93%，mcu为27.76%。迁移到tomu的占31.90%，迁移到tomu的占17.06%，迁移到tomu的占17.39%。在年轻人中，更多的人从musus进展。还估计了单年龄的过渡概率。结论：这是第一个量化大麻-香烟过渡的研究。研究结果表明，青少年从香烟到大麻的过渡比例更高，初成成人从大麻到香烟的过渡比例更高。未来的干预计划应考虑到大麻-香烟使用过渡中与年龄相关的差异。
Background: Marijuana and tobacco are considered two closely related substances. It is of great significance to understand the mutual impact of marijuana and cigarette use when more states in the US have legalized marijuana use.Objective: This study aims to investigate the transitions between marijuana and cigarette use among adolescents and emerging adults.Method: Guided by the probabilistic discrete events systems (PDES) theory, a five-stage model with 21 transition paths was constructed to quantify dynamic transitions between marijuana and cigarette use. The five stages wereNU: Never-user,MU: Current marijuana user,CU: Current cigarette user,MCU: Current marijuana–cigarette user, andFU: Former-user. The proposed five-stage PDES model was tested using the 2013 National Survey on Drug Use and Health data (N= 26,665, 50.45% male). Transition probabilities were estimated using the Moore–Penrose generalized inverse matrix method.Result: Among the adolescents, 51.14% of theCUstransited to use marijuana (MCU/MU), higher than the proportion of those who first used marijuana and then transferred to cigarettes (MCU/CU) (41.66%). The quitting rates forMUs, CUsandMCUswere 29.38%, 25.93% and 27.76%, respectively. Of the totalFUs, 31.90% transited toMUs, 17.06% toCUs, and 17.39% toMCUs. Among the young adults, more people progressed fromMUstoCUs. Transition probabilities by single year of age were also estimated.Conclusion: This is the first study to quantify marijuana–cigarette transitions. Study findings indicate more cigarette-to-marijuana transitions for adolescents and more marijuana-to-cigarette transitions for emerging adults. Future intervention programs should consider this age-related difference in marijuana–cigarette use transitions.