San Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA.
San Francisco Department of Public Health, 25 Van Ness Avenue, Suite 500, San Francisco, CA 94102, USA; University of California, San Francisco, 500 Parnassus Avenue, San Francisco, CA 94143, USA.
Drug Alcohol Depend. 2016 Feb 1;159:234-9. doi: 10.1016/j.drugalcdep.2015.12.018. Epub 2015 Dec 30.
Opioid-related mortality continues to increase in the United States. The current study assesses demographic and behavioral predictors of perceived overdose risk among individuals who use opioids illicitly. By examining these correlates in the context of established overdose risk factors, we aim to assess whether characteristics and behaviors that have been associated with actual overdose risk translate to higher perception of risk.
We conducted a cross-sectional survey of 172 adult illicit opioid users in San Francisco, CA and used multivariable logistic regression to identify predictors of perception of high risk for opioid overdose.
Age (aOR=0.96, 95%CI=0.93-1.00) and number of injection days per month (0.91, 0.86-0.97) were associated with a lower odds of perceived high overdose risk. There was no independent association between use of opioid analgesics, concurrent use of opioids and benzodiazepines or cocaine, or HIV status and overdose risk perception.
Opioid users who injected more frequently and those who were older were less likely to perceive themselves as being at risk of overdose, notwithstanding that those who inject more are at higher risk of overdose and those who are older are at higher risk overdose mortality. In addition, despite being established overdose risk factors, there was no relationship between use of opioid analgesics, concurrent use of opioids and cocaine or benzodiazepines, or self-reported HIV status and overdose risk perception. These findings highlight key populations of opioid users and established risk factors that may merit focused attention as part of education-based overdose prevention and opioid management strategies.
在美国,阿片类药物相关死亡率持续上升。本研究评估了非法使用阿片类药物的个体对过量风险的感知的人口统计学和行为预测因素。通过在既定的过量风险因素的背景下检查这些相关性,我们旨在评估与实际过量风险相关的特征和行为是否转化为更高的风险感知。
我们对加利福尼亚州旧金山的 172 名成年非法阿片类药物使用者进行了横断面调查,并使用多变量逻辑回归来确定感知阿片类药物过量风险高的预测因素。
年龄(aOR=0.96,95%CI=0.93-1.00)和每月注射天数(0.91,0.86-0.97)与感知高过量风险的几率较低相关。使用阿片类镇痛药、同时使用阿片类药物和苯二氮䓬类药物或可卡因或 HIV 状况与过量风险感知之间没有独立关联。
注射频率较高和年龄较大的阿片类药物使用者不太可能认为自己有过量的风险,尽管那些注射频率较高的人过量的风险更高,而年龄较大的人过量的死亡率更高。此外,尽管使用阿片类镇痛药、同时使用阿片类药物和可卡因或苯二氮䓬类药物以及自我报告的 HIV 状况是既定的过量风险因素,但它们与过量风险感知之间没有关系。这些发现突出了需要重点关注的阿片类药物使用者和既定风险因素,这些因素可能是基于教育的预防过量和阿片类药物管理策略的一部分。