a Weill Cornell Medical College , New York , New York , 10065 , USA.
b Washington State University , Pullman , Washington , 99164 , USA.
Subst Use Misuse. 2019;54(1):89-96. doi: 10.1080/10826084.2018.1496454. Epub 2018 Oct 26.
Although causality is difficult to establish, the regular use of marijuana has been associated with many adverse physiological and sociological consequences. There is considerable concern regarding marijuana use among adolescents, as the likelihood of adverse consequences increases significantly for this age group. The most comprehensive data for identifying risk factors for adolescent marijuana use is typically self-report, which may be over- or under-reported for a variety of reasons, including stigmatization, peer-pressure, or fear of being discovered.
To identify the prevalence of adolescent marijuana use in Washington State, and the associated risk and protective factors, while controlling for and estimating the extent of misreporting, and its determinants.
Data came from the 2014 Washington State Healthy Youth Survey. We accounted for missingness using chained multivariate imputation equations, resulting in 33,320 complete observations. Our model was estimated using a maximum likelihood multiple regression designed to control for systematic misclassification in binary dependent variables.
Approximately 12% of Washington adolescents claimed to have used marijuana in the past 30 days. Our estimates indicate this figure is likely closer to 18%. Determinants of use included use of other substances, gender, age, and measures of deviant social influences, personality/attitude, school and family bonds, bullying, and acquisition ease. Determinants of misreporting included use of other substances, gender, parental education, and family bonds.
Failing to control for misreporting considerably underestimates the prevalence of marijuana use among adolescents. Our model allows us to better identify at-risk adolescents and inform focused prevention efforts.
尽管因果关系难以确定,但经常使用大麻与许多不良生理和社会后果有关。青少年使用大麻引起了相当大的关注,因为这个年龄段发生不良后果的可能性显著增加。识别青少年使用大麻的风险因素的最全面数据通常是自我报告,由于各种原因,包括污名化、同伴压力或害怕被发现,自我报告可能会被夸大或低估。
确定华盛顿州青少年大麻使用的流行率,以及相关的风险和保护因素,同时控制和估计错误报告的程度及其决定因素。
数据来自 2014 年华盛顿州健康青少年调查。我们使用链式多元插补方程来处理缺失数据,得出了 33320 个完整的观察结果。我们的模型使用最大似然多元回归进行估计,旨在控制二分类因变量中的系统分类错误。
大约 12%的华盛顿州青少年声称在过去 30 天内使用过大麻。我们的估计表明,这个数字可能更接近 18%。使用的决定因素包括使用其他物质、性别、年龄以及偏差社会影响、个性/态度、学校和家庭联系、欺凌和获取便利性的衡量标准。错误报告的决定因素包括使用其他物质、性别、父母教育程度和家庭联系。
不控制错误报告会大大低估青少年使用大麻的流行率。我们的模型使我们能够更好地识别高风险青少年,并为有针对性的预防工作提供信息。