Center on Young Adult Health and Development, University of Maryland School of Public Health, Department of Family Science, 1142 School of Public Health Building, College Park, MD 20742, USA.
Drug Alcohol Depend. 2012 Oct 1;125(3):267-75. doi: 10.1016/j.drugalcdep.2012.02.022. Epub 2012 Mar 30.
Despite the relatively high prevalence of marijuana use among college students, little information exists regarding health outcomes associated with different use patterns or trajectories.
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.
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.
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.
尽管大学生中大麻的使用相对较高,但关于与不同使用模式或轨迹相关的健康结果的信息很少。
对 1253 名个体进行了 7 次年度个人访谈(第 1 年至第 7 年),从他们上大学的第一年开始。使用增长混合建模来确定大麻、酒精和烟草使用频率在第 1 年至第 6 年期间的轨迹。使用逻辑回归评估大麻使用轨迹与第 7 年的几个健康结果之间的关系,同时控制第 1 年的健康状况、人口统计学特征以及酒精和烟草使用轨迹。
确定了六种大麻使用轨迹:不使用(71.5%(wt)的学生)、低稳定(10.0%(wt))、晚增加(4.7%(wt))、早下降(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 1 年的健康相关变量上没有显著差异,但在所有 10 个第 7 年的健康结果上存在差异,包括因受伤、疾病或情绪问题导致的功能障碍;一般健康评分;精神症状;健康相关生活质量;以及身体和心理健康问题的服务利用。非使用者在每个测试结果上都明显好于大多数使用大麻的轨迹组。慢性和晚增加使用者的健康结果最差。
大麻使用模式在大学期间和大学毕业后发生了相当大的变化。使用大麻的学生似乎有不良健康结果的风险,尤其是如果他们增加或维持频繁的使用模式。