Marijuana use trajectories during the post-college transition: Health outcomes in young adulthood

Marijuana use trajectories during the post-college transition: Health outcomes in young adulthood
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DOI:
10.1016/j.drugalcdep.2012.02.022
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发表时间:
2012-10-01
影响因子:
4.2
通讯作者:
Arria, Amelia M.
Arria, Amelia M.
中科院分区:
医学2区
文献类型:
--
作者:
Caldeira, Kimberly M.;O'Grady, Kevin E.;Arria, Amelia M.

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背景资料:尽管相对较高的流行率,大麻的使用在大学生中,很少有信息存在与不同的使用模式或trajectors.Methods:7个年度个人访谈(1-7年)进行了管理,以1253个人,开始在他们的第一年在大学。生长混合物模型被用来确定大麻,酒精和烟草的使用频率在第1-6年的轨迹。Logistic回归被用来评估大麻使用轨迹和几个第7年的健康结果之间的关系,保持不变的第1年的健康,人口统计学,酒精和烟草的使用trajectors.Results:六大麻使用轨迹被确定:不使用(71.5%(wt)的学生),低稳定(10.0%(wt)),后期增加(4.7%(wt)),早期下降(4.3%(wt)),大学高峰(5.4%(wt))和慢性(4.2%(wt))。六个大麻轨迹组在第一年的健康相关变量上没有显着差异,但在所有十个第七年的健康结果测试上存在差异,包括由于受伤,疾病或情绪问题造成的功能障碍;一般健康评级;精神症状;与健康相关的生活质量;以及身心健康问题的服务利用率。非使用者在测试的每一个结果上都比大多数使用大麻的轨迹组表现得更好。慢性和后期增加用户有最坏的健康outcomes.Conclusions:Maritime使用模式的变化相当大,在大学和大学后的时期。使用大麻的学生似乎有可能出现不良的健康后果,特别是如果他们增加或维持频繁的使用模式。(c)2012爱思唯尔爱尔兰有限公司保留所有权利。
Background: Despite the relatively high prevalence of marijuana use among college students, little information exists regarding health outcomes associated with different use patterns or trajectories.Methods: Seven annual personal interviews (Years 1-7) were administered to 1253 individuals, beginning in their first year in college. Growth mixture modeling was used to identify trajectories of marijuana, alcohol, and tobacco use frequency during Years 1-6. Logistic regression was used to evaluate the relationship between marijuana use trajectories and several Year 7 health outcomes, holding constant Year 1 health, demographics, and alcohol and tobacco use trajectories.Results: Six marijuana use trajectories were identified: Non-Use (71.5%(wt) of students), Low-Stable (10.0%(wt)), Late-Increase (4.7%(wt)), Early-Decline (4.3%(wt)), College-Peak (5.4%(wt)), and Chronic (4.2%(wt)). The six marijuana trajectory groups were not significantly different on Year 1 health-related variables, but differed on all ten Year 7 health outcomes tested, including functional impairment due to injury, illness, or emotional problems; general health rating; psychiatric symptoms; health-related quality of life; and service utilization for physical and mental health problems. Non-Users fared significantly better than most of the marijuana-using trajectory groups on every outcome tested. Chronic and Late-Increase users had the worst health outcomes.Conclusions: Marijuana use patterns change considerably during college and the post-college period. Marijuana-using students appear to be at risk for adverse health outcomes, especially if they increase or sustain a frequent pattern of use. (c) 2012 Elsevier Ireland Ltd. All rights reserved.