School of Communication, The Ohio State University, USA.
Prev Med. 2013 Sep;57(3):244-6. doi: 10.1016/j.ypmed.2013.05.004. Epub 2013 May 20.
The prevention research context includes current epidemic levels of hazards associated with extra-medical use of OxyContin® (to get high or otherwise outside prescribed boundaries) among teenagers and young adults, and a recent OxyContin® re-formulation with an intent to reduce these hazards, plus hope for possibly beneficial primary prevention impact. The aim is to create a benchmark of risk estimates for the years just prior to OxyContin® re-formulation in anticipation of potential public health benefit in future years, with a focus on teens and the youngest adults in the United States, and to compare two methods for estimating peak risk.
The data are from nationally representative probability sample surveys of 12-21 year olds, yielding estimates for incidence of extra-medical OxyContin® use. Samples are of the non-institutionalized United States population, recruited and assessed in National Surveys on Drug Use and Health (NSDUH), each year from 2004 through 2008. In aggregate, the sample includes 135,552 young people who had not used OxyContin® extra-medically prior to their year of survey assessment.
The main outcome was the estimated population-level age-specific incidence of extra-medical OxyContin® use, 2004-2008. We found that during the 2004-2008 interval the estimated risk accelerated from age 12 years, reached a peak value in mid-adolescence at roughly five newly incident users per 1000 persons per year (95% confidence intervals, 0.3%, 0.7%), and then declined. A meta-analysis approach to year-by-year data differentiated age patterns more clearly than a pooled estimation approach.
Studying young people in the United States, we have discovered that the risk of starting to use OxyContin® extra-medically rises to a peak by mid-adolescence and then declines. From a methods standpoint, the meta-analysis serves well in this context; there is no advantage to pooling survey data across years. We also discovered that during any given year a pediatrician might rarely see even one patient who has just started to use OxyContin® to get high or for other extra-medical purposes. Implications for screening are discussed.
预防研究的背景包括当前青少年和年轻成年人中与奥施康定(OxyContin®)非医疗用途(为了获得快感或超出规定范围)相关的危害的流行水平,以及奥施康定(OxyContin®)最近的重新配方,旨在降低这些危害,同时希望可能对初级预防产生有益影响。目的是创建奥施康定(OxyContin®)重新配方前几年的风险估计基准,以期在未来几年产生潜在的公共卫生效益,重点关注美国的青少年和最年轻的成年人,并比较两种估计峰值风险的方法。
数据来自全国代表性的 12-21 岁青少年概率抽样调查,用于估计非医疗用途奥施康定(OxyContin®)的发生率。样本包括非机构化的美国人口,通过国家药物使用和健康调查(NSDUH)招募和评估,每年从 2004 年到 2008 年。总体而言,样本包括 135552 名在调查评估年度之前未非医疗用途使用奥施康定(OxyContin®)的年轻人。
主要结果是 2004-2008 年特定年龄的非医疗用途奥施康定(OxyContin®)使用的估计人群水平发病率。我们发现,在 2004-2008 年期间,风险从 12 岁开始加速,在青春期中期达到每年每 1000 人约 5 名新发病例的峰值(95%置信区间,0.3%,0.7%),然后下降。逐年代进行元分析的方法比汇总估计的方法更能清楚地区分年龄模式。
通过研究美国的年轻人,我们发现开始非医疗用途使用奥施康定(OxyContin®)的风险在青春期中期达到峰值,然后下降。从方法的角度来看,元分析在这种情况下效果很好;在不同年份汇总调查数据没有优势。我们还发现,在任何给定的一年,儿科医生可能很少看到一个刚刚开始使用奥施康定(OxyContin®)来获得快感或用于其他非医疗目的的患者。还讨论了筛查的意义。