y Correlates of Nonmedical Prescription Opioid Use Among US Adolescents
y Correlates of Nonmedical Prescription Opioid Use Among US Adolescents
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DOI：
10.1016/j.amepre.2019.05.006
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发表时间：
2019-11-01
影响因子：
5.5
通讯作者：
Lewis, Melissa A.
中科院分区：
文献类型：
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作者：
Barnett, Tracey E.;Thompson, Erika L.;Lewis, Melissa A.
简介：本研究的目的是评估风险因素，包括其他物质的使用，为非医疗处方阿片类药物的使用在美国青少年。方法：2017年青年危险行为调查的二次数据分析（n= 10，175）在2018年进行。结果是非医疗处方阿片类药物的使用。预测变量包括其他物质使用，情绪，睡眠，学习成绩和人口统计学特征。SAS，9.4版的调查加权程序，并调整logistic回归模型carried.Results：在抽样的青少年中，13.8%（95%置信限= 12.4%，15.3%）报告非医疗处方阿片类药物的使用。非医疗处方阿片类药物的使用更有可能在15岁（与16岁相比）的参与者，美洲印第安人/阿拉斯加原住民，以及那些报告悲伤或绝望的人中。所有其他物质的使用与非医疗处方阿片类药物使用的几率增加显著相关。非医疗处方阿片类药物的使用在电子烟使用者中的可能性高出1.5倍（AOR=1.58，95% CI=1.34，1.86），吸烟组的可能性高2倍（AOR=2.49，95% CI=2.16，2.88）和大麻使用者（AOR=2.45，95% CI=2.05，2.93），在饮酒者中几乎是3倍（AOR=2.98，95%CI =2.18，4.07）。研究结果表明，需要对美国青少年中的非医疗处方阿片类药物使用进行更多干预。应将非医疗处方阿片类药物使用的信息添加到所有物质使用中青少年预防方案。此外，未来的研究需要确定青少年非医疗处方阿片类药物使用的纵向预测因素，以告知预防工作。(C)2019年美国预防医学杂志。爱思唯尔公司出版All rights reserved.
Introduction: The purpose of this study is to assess risk factors, including other substance use, for nonmedical prescription opioid use among U.S. adolescents.Methods: A secondary data analysis of the 2017 Youth Risk Behavior Survey was conducted (n=10,175) in 2018. The outcome was nonmedical prescription opioid use. Predictor variables included other substance use, mood, sleep, academic performance, and demographic characteristics. Survey-weighted procedures in SAS, version 9.4 were used, and an adjusted logistic regression model was conducted.Results: Among the sampled adolescents, 13.8% (95% confidence limit=12.4%, 15.3%) reported nonmedical prescription opioid use. Nonmedical prescription opioid use was more likely among participants aged 15 years (versus 16 years), American Indian/Alaskan Natives, and those who reported being sad or hopeless. All other substance use was significantly associated with increased odds of nonmedical prescription opioid use. Nonmedical prescription opioid use was 1.5 times more likely among electronic vapor users (AOR=1.58, 95% CI=1.34, 1.86), 2 times more likely among cigarette (AOR=2.49, 95% CI=2.16, 2.88) and marijuana users (AOR=2.45, 95% CI=2.05, 2.93), and almost 3 times as likely among alcohol users (AOR=2.98, 95% CI=2.18, 4.07).Conclusions: Study findings suggest a need for more interventions for nonmedical prescription opioid use among adolescents in the U.S. Information on nonmedical prescription opioid use should be added to all substance use prevention programs for adolescents. Moreover, future research needs to identify longitudinal predictors of adolescent nonmedical prescription opioid use to inform prevention efforts. (C) 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.