Association of vaping-related lung injuries with rates of e-cigarette and cannabis use across US states.
Association of vaping-related lung injuries with rates of e-cigarette and cannabis use across US states.
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DOI：
10.1111/add.15235
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Friedman AS
中科院分区：
文献类型：
--
作者：
Friedman AS
对 2019 年美国爆发的“电子烟或电子烟产品使用相关肺损伤”(EVALI) 的反应包括临时限制尼古丁电子烟销售到对国家大麻政策的批评。然而，如果大规模销售的尼古丁电子烟或大麻使用本身导致了这次疫情爆发，而不是区域性黑市电子烟液中的添加剂，那么各州的电子烟和/或大麻使用率应该可以预测其 EVALI 流行率。这项研究测试了这种关系。对美国各州卫生部门 EVALI 数据的观察性研究 美国 所有州 (N=50) 感兴趣的结果是 2020 年 1 月第二周报告的每个州每 12-64 岁居民（涵盖大多数 EVALI 患者的年龄组）的 EVALI 病例总数。预测因素是各州 2017-2018 年成人电子烟使用率和过去一个月大麻使用率。该州平均 EVALI 患病率为每 10 万名 12-64 岁人群中有 1.4 例。地图显示了一个由中西部北部七个相邻州组成的高流行集群。人均 EVALI 病例与电子烟使用率和过去一个月的大麻使用率呈负相关，首选规范的系数分别为 -0.239（95% 置信区间 [CI]：-0.441，-0.037；P=0.02）和 -0.086（95% CI：-0.141，-0.031；P=0.003）。稳健性检查支持了这一发现。在美国，在 2019 年“电子烟或电子烟产品使用相关肺损伤”(EVALI) 爆发之前，电子烟和大麻使用率较高的州的 EVALI 患病率较低。这些结果表明，EVALI 病例并非由电子烟或大麻使用本身引起，而是由当地分布的电子液体或受影响地区最普遍的添加剂引起。
Responses to the 2019 US outbreak of ‘e-cigarette or vaping product use-associated lung injury’ (EVALI) ranged from temporary restrictions on nicotine e-cigarette sales to critiques of state cannabis policies. Yet, if either mass-marketed nicotine e-cigarettes or cannabis use per se drove this outbreak, as opposed to an additive in regionally available black market e-liquids, states’ rates of vaping and/or cannabis use should predict their EVALI prevalence. This study tests that relationship. Observational study of EVALI data from US states’ health departments United States All US states (N=50) The outcome of interest was each state’s total EVALI cases per 12-64-year-old resident—an age-group covering most EVALI patients—as reported in the second week of January 2020. Predictors are 2017-2018 rates of adult e-cigarette use and past-month cannabis use, by state. The average state EVALI prevalence was 1.4 cases per 100,000 12-64-year-olds. Maps suggest a high-prevalence cluster comprising seven contiguous states in the northern Midwest. EVALI cases per capita were negatively associated with rates of vaping and past-month cannabis use, with the preferred specification’s coefficients at −0.239 (95% Confidence Interval [CI]: −0.441, −0.037; P=0.02) and −0.086 (95% CI: −0.141, −0.031; P=0.003), respectively. Robustness checks supported the finding. In the US, states with higher rates of e-cigarette and cannabis use prior to the 2019 ‘e-cigarette or vaping product use-associated lung injury’ (EVALI) outbreak had lower EVALI prevalence. These results suggest that EVALI cases did not arise from e-cigarette or cannabis use per se, but rather from locally distributed e-liquids or additives most prevalent in the affected areas.
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影响因子：
33.9
作者：
Blount, Benjamin C.;Karwowski, Mateusz P.;Pirkle, James L.
通讯作者：
Pirkle, James L.
影响因子：
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作者：
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电子尼古丁输送系统的概述：系统评价。
影响因子：
5.5
作者：
Glasser AM;Collins L;Pearson JL;Abudayyeh H;Niaura RS;Abrams DB;Villanti AC
通讯作者：
Villanti AC
影响因子：
13.8
作者：
Goniewicz, Maciej L.;Smith, Danielle M.;Hyland, Andrew J.
通讯作者：
Hyland, Andrew J.
影响因子：
158.5
作者：
Blount, Benjamin C.;Karwowski, Mateusz P.;Pirkle, James L.
通讯作者：
Pirkle, James L.