Department of Public Health, Brigham Young University, Provo, UT 84602, USA.
Int J Environ Res Public Health. 2020 Dec 23;18(1):62. doi: 10.3390/ijerph18010062.
With the introduction of fentanyl to illegal markets in 2013 and an overall rise in rates of synthetic opioid use, opioid-related deaths have increased significantly. A similar trend has been observed for sexually transmitted infections, homicides, and poor mental health outcomes. In this paper, we explore the spatiotemporal relationship between opioid death rates and sexually transmitted infection (STI) rates in counties from the Northeast region of the United States between the years 2012-2017. We hypothesized that rates for gonorrhea, chlamydia, and human immunodeficiency virus (HIV) would all be positively associated with opioid death rates and that there would be a similar association between the STI rates and later time periods relative to earlier time periods. A negative binomial mixed-effects regression model was employed to assess these associations. Contrary to the study hypothesis, opioid death rates were not found to be significantly associated with the STI rates after accounting for other demographic and socioeconomic variables, with the exception of opioid deaths and gonorrhea in urban counties. Additionally, the regression demonstrated a significant association between infection rate and time period beyond the included socioeconomic variables and opioid deaths. Overall, this study indicates that declining sexual health outcomes may parallel rising opioid death, though both trends may be explained by similar underlying factors related to time period.
随着芬太尼于 2013 年进入非法市场以及合成类阿片药物使用率的整体上升,阿片类药物相关死亡率显著增加。性传播感染、凶杀和心理健康不良等结果也呈现出类似的趋势。在本文中,我们探索了 2012 年至 2017 年间美国东北部各县的阿片类药物死亡率与性传播感染(STI)率之间的时空关系。我们假设淋病、衣原体和人类免疫缺陷病毒(HIV)的发病率均与阿片类药物死亡率呈正相关,且 STI 率与较早时期相比与较晚时期也存在类似的关联。我们采用负二项混合效应回归模型来评估这些关联。与研究假设相反,在考虑了其他人口统计学和社会经济变量后,阿片类药物死亡率与 STI 率之间并未发现显著关联,除了城市县的阿片类药物死亡与淋病之间的关联。此外,该回归模型表明,在包括社会经济变量和阿片类药物死亡在内的因素之外,感染率与时间之间存在显著关联。总体而言,本研究表明,下降的性健康结果可能与上升的阿片类药物死亡平行,但这两种趋势都可能是由与时间相关的类似潜在因素导致的。