Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Center for Administrative Records Research and Applications, U.S. Bureau of the Census, Suitland, Maryland, United States of America.
PLoS One. 2020 Jan 17;15(1):e0227966. doi: 10.1371/journal.pone.0227966. eCollection 2020.
Understanding relationships between individual-level demographic, socioeconomic status (SES) and U.S. opioid fatalities can inform interventions in response to this crisis.
The Mortality Disparities in American Community Study (MDAC) links nearly 4 million 2008 American Community Survey responses to the 2008-2015 National Death Index. Univariate and multivariable models were used to estimate opioid overdose fatality hazard ratios (HR) and 95% confidence intervals (CI).
Opioid overdose was an overrepresented cause of death among people 10 to 59 years of age. In multivariable analysis, compared to Hispanics, Whites and American Indians/Alaska Natives had elevated risk (HR = 2.52, CI:2.21-2.88) and (HR = 1.88, CI:1.35-2.62), respectively. Compared to women, men were at-risk (HR = 1.61, CI:1.50-1.72). People who were disabled were at higher risk than those who were not (HR = 2.80, CI:2.59-3.03). Risk was higher among widowed than married (HR = 2.44, CI:2.03-2.95) and unemployed than employed individuals (HR = 2.46, CI:2.17-2.79). Compared to adults with graduate degrees, those with high school only were at-risk (HR = 2.48, CI:2.00-3.06). Citizens were more likely than noncitizens to die from this cause (HR = 4.62, CI:3.48-6.14). Compared to people who owned homes with mortgages, those who rented had higher HRs (HR = 1.36, CI:1.25-1.48). Non-rural residents had higher risk than rural residents (HR = 1.46, CI:1.34, 1.59). Compared to respective referent groups, people without health insurance (HR = 1.30, CI:1.20-1.41) and people who were incarcerated were more likely to die from opioid overdoses (HR = 2.70, CI:1.91-3.81). Compared to people living in households at least five-times above the poverty line, people who lived in poverty were more likely to die from this cause (HR = 1.36, CI:1.20-1.54). Compared to people living in West North Central states, HRs were highest among those in South Atlantic (HR = 1.29, CI:1.11, 1.50) and Mountain states (HR = 1.58, CI:1.33, 1.88).
Opioid fatality was associated with indicators of low SES. The findings may help to target prevention, treatment and rehabilitation efforts to vulnerable groups.
了解个体层面人口统计学和社会经济地位(SES)与美国阿片类药物致死之间的关系,可以为应对这一危机提供干预措施。
美国社区研究中的死亡率差异(MDAC)将近 400 万份 2008 年美国社区调查回复与 2008-2015 年国家死亡指数相关联。使用单变量和多变量模型来估计阿片类药物过量致死的风险比(HR)和 95%置信区间(CI)。
阿片类药物过量是 10 至 59 岁人群中代表性过高的死亡原因。在多变量分析中,与西班牙裔相比,白人(HR = 2.52,CI:2.21-2.88)和美国印第安人/阿拉斯加原住民(HR = 1.88,CI:1.35-2.62)的风险更高。与女性相比,男性处于危险之中(HR = 1.61,CI:1.50-1.72)。残疾者比非残疾者的风险更高(HR = 2.80,CI:2.59-3.03)。丧偶者比已婚者的风险更高(HR = 2.44,CI:2.03-2.95),失业者比就业者的风险更高(HR = 2.46,CI:2.17-2.79)。与拥有研究生学历的成年人相比,只有高中学历的人处于危险之中(HR = 2.48,CI:2.00-3.06)。公民比非公民更有可能因此而死亡(HR = 4.62,CI:3.48-6.14)。与拥有抵押贷款住房的人相比,租房者的 HR 更高(HR = 1.36,CI:1.25-1.48)。非农村居民比农村居民的风险更高(HR = 1.46,CI:1.34-1.59)。与各自的参照组相比,没有医疗保险的人(HR = 1.30,CI:1.20-1.41)和被监禁的人更有可能死于阿片类药物过量(HR = 2.70,CI:1.91-3.81)。与生活在贫困线以上五倍以上的家庭相比,生活在贫困中的人更有可能因此而死亡(HR = 1.36,CI:1.20-1.54)。与生活在中西部和北部中心各州的人相比,居住在大西洋南部(HR = 1.29,CI:1.11-1.50)和山区各州(HR = 1.58,CI:1.33-1.88)的人的 HR 最高。
阿片类药物致死与 SES 低的指标有关。这些发现可能有助于针对弱势群体进行预防、治疗和康复工作。