Prescription Drug Misuse and Sexual Risk Behaviors Among Adolescents and Emerging Adults

Prescription Drug Misuse and Sexual Risk Behaviors Among Adolescents and Emerging Adults
复制标题

DOI:
10.15288/jsad.2014.75.259
复制
发表时间:
2014-03-01
影响因子:
3.4
通讯作者:
Walton, Maureen A.
Walton, Maureen A.
中科院分区:
医学3区
文献类型:
--
作者:
Bonar, Erin E.;Cunningham, Rebecca M.;Walton, Maureen A.

文献摘要

被引文献

相似文献

目的:本研究的目的是评估青少年和新生成年人中处方药滥用(PDM)与性危险行为(SRB)之间的关联。方法:在医院急诊科,2,127 名性活跃的 14 至 20 岁青少年(61% 女性)报告了过去一年的饮酒严重程度(使用酒精使用障碍识别测试消耗量 [AUDIT-C])、大麻使用、PDM (n = 422) 和 SRB(不一致的安全套使用、多个性伴侣、酒精/其他药物使用后性交)。结果:双变量中,AUDIT-C 评分、大麻使用以及兴奋剂、阿片类药物和镇静剂的 PDM 与每个 SRB 呈正相关。由于许多参与者报告了多种药物类别(即镇静剂、兴奋剂、阿片类药物)的 PDM,因此参与者被分类为 (a) 无 PDM (n = 1,705)、(b) 一类 PDM (n = 251)、(c) 两类 PDM (n = 90) 或 (d) 三类 PDM (n = 81)。在考虑了人口统计数据(年龄、性别、种族)、AUDIT-C 评分和大麻使用后,三个层次逻辑回归模型分别评估了 PDM 类别数量与 SRB 的关联。添加 PDM 在统计上改善了每个模型,超出了人口统计、酒精和大麻使用所解释的范围。对于性行为前不一致的安全套使用和物质使用,一类、两类或三类 PDM 与这些 SRB 的几率增加显着相关。两类或三类 PDM 与报告多个合作伙伴的几率增加相关。结论:研究结果表明,PDM,尤其是聚 PDM,可能是青少年 SRB 的相关危险因素。基于事件的研究可以进一步评估 PDM 以及其他物质使用与事件层面的 SRB 的关系,以便为干预措施提供信息。
Objective: The purpose of this study was to evaluate associations between prescription drug misuse (PDM) and sexual risk behaviors (SRBs) among adolescents and emerging adults. Method: In a hospital emergency department, 2,127 sexually active 14- to 20-year-olds (61% female) reported on past-year alcohol use severity (using the Alcohol Use Disorders Identification Test consumption [AUDIT-C]), cannabis use, PDM (n = 422), and SRBs (inconsistent condom use, multiple partners, intercourse following alcohol/other drug use). Results: Bivariately, AUDIT-C score, cannabis use, and PDM of stimulants, opioids, and sedatives were positively associated with each SRB. Because many participants reported PDM for multiple drug classes (i.e., sedatives, stimulants, opioids), participants were categorized as (a) no PDM (n = 1,705), (b) PDM of one class (n = 251), (c) PDM of two classes (n = 90), or (d) PDM of three classes (n = 81). Three hierarchical logistic regression models evaluated the associations of number of classes of PDM with SRBs separately, after accounting for demographics (age, gender, race), AUDIT-C score, and cannabis use. Adding PDM statistically improved each model beyond what was accounted for by demographics, alcohol, and cannabis use. For inconsistent condom use and substance use before sex, PDM of one, two, or three classes was significantly associated with increased odds of these SRBs. PDM of two or three classes was associated with increased odds of reporting multiple partners. Conclusions: Findings suggest that PDM, especially poly-PDM, may be a pertinent risk factor for SRBs among youth. Event-based research could further evaluate how PDM, as well as other substance use, is related to SRBs at the event level in order to inform interventions.