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Associations between Neighborhood‐Level Factors and Opioid‐Related Mortality: A Multilevel Analysis using Death Certificate Data
Addiction ( IF 5.2 ) Pub Date : 2020-06-03 , DOI: 10.1111/add.15009
Michael William Flores 1, 2 , Benjamin Lê Cook 1, 2 , Brian Mullin 1 , Gabriel Halperin-Goldstein 3 , Aparna Nathan 4 , Kertu Tenso 1, 5 , Zev Schuman-Olivier 2, 6
Affiliation  

AIM To identify associations between opioid-related mortality and neighborhood-level risk factors. DESIGN Cross-sectional study. SETTING Massachusetts, USA. PARTICIPANTS Using 2011-2014 Massachusetts death certificate data, we identified opioid-related (n=3,089) and non-opioid-related premature deaths (n=8,729). MEASUREMENTS The independent variables consisted of four sets of neighborhood-level factors: (1) psychosocial, (2) economic, (3) built environment, and (4) health related. At the individual level we included the following compositional factors: age at death, sex, race/ethnicity, marital status, education, veteran status, and nativity. The primary outcome of interest was opioid-related mortality. FINDINGS Multilevel models identified number of social associations per 10,000 (OR=0.84, p=0.002, 95% CI=0.75-0.94) and number of hospital beds per 10,000 (OR=0.78, p<0.001, 95%CI=0.68-0.88) to be inversely associated with opioid-related mortality, whereas percent living in poverty (OR=1.01, p=0.008, 95% CI=1.00-1.01), food insecurity rate (OR=1.21, p=0.002, 95%CI=1.07-1.37), number of federally qualified health centers (OR= 1.02, p=0.028, 95%CI=1.02-1.08), and per capita morphine milligram equivalents of hydromorphone (OR=1.05, p=0.003, 95%CI=1.01-1.08) were positively associated with opioid-related mortality. CONCLUSIONS Opioid-related deaths between 2011-2014 in the state of Massachusetts appear to be positively associated with percent living in poverty, food insecurity rate, number of federally qualified health centers, and per capita morphine milligram equivalents of hydromorphone, but inversely associated with number of social associations per 10,000 and number of hospital beds per 10,000.

中文翻译:


社区层面因素与阿片类药物相关死亡率之间的关联:使用死亡证明数据进行多级分析



目的 确定阿片类药物相关死亡率与社区风险因素之间的关联。设计横断面研究。地点 美国马萨诸塞州。参与者 使用 2011-2014 年马萨诸塞州死亡证明数据,我们确定了与阿片类药物相关的 (n=3,089) 和非阿片类药物相关的过早死亡 (n=8,729)。测量 自变量由四组邻里层面的因素组成:(1) 心理因素,(2) 经济因素,(3) 建筑环境因素,(4) 健康相关因素。在个人层面,我们纳入了以下构成因素:死亡年龄、性别、种族/民族、婚姻状况、教育程度、退伍军人身份和出生地。感兴趣的主要结局是阿片类药物相关的死亡率。结果 多层次模型确定了每 10,000 人的社会协会数量(OR=0.84,p=0.002,95% CI=0.75-0.94)和每 10,000 人的医院床位数量(OR=0.78,p<0.001,95% CI=0.68) -0.88)与阿片类药物相关死亡率呈负相关,而生活贫困率(OR=1.01,p=0.008,95% CI=1.00-1.01)、粮食不安全率(OR=1.21,p=0.002,95%) CI=1.07-1.37)、联邦合格卫生中心数量(OR=1.02,p=0.028,95%CI=1.02-1.08)以及氢吗啡酮人均吗啡毫克当量(OR=1.05,p=0.003,95%) CI=1.01-1.08)与阿片类药物相关死亡率呈正相关。结论 2011 年至 2014 年马萨诸塞州阿片类药物相关死亡似乎与贫困百分比、粮食不安全率、联邦合格卫生中心数量以及人均氢吗啡酮毫克当量呈正相关,但与数量呈负相关。每万人的社会团体数量和每万人的医院床位数。
更新日期:2020-06-03
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