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短期暴露于 PM 和 150 万人死亡:墨西哥城大都市区的时间分层病例交叉分析。

Short-term exposure to PM and 1.5 million deaths: a time-stratified case-crossover analysis in the Mexico City Metropolitan Area.

机构信息

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.

Dirección de Salud Ambiental, Instituto Nacional de Salud Pública, Cuernavaca Morelos, México.

出版信息

Environ Health. 2023 Oct 17;22(1):70. doi: 10.1186/s12940-023-01024-4.

Abstract

BACKGROUND

Satellite-based PM predictions are being used to advance exposure science and air-pollution epidemiology in developed countries; including emerging evidence about the impacts of PM on acute health outcomes beyond the cardiovascular and respiratory systems, and the potential modifying effects from individual-level factors in these associations. Research on these topics is lacking in low and middle income countries. We aimed to explore the association between short-term exposure to PM with broad-category and cause-specific mortality outcomes in the Mexico City Metropolitan Area (MCMA), and potential effect modification by age, sex, and SES characteristics in such associations.

METHODS

We used a time-stratified case-crossover study design with 1,479,950 non-accidental deaths from the MCMA for the period of 2004-2019. Daily 1 × 1 km PM (median = 23.4 μg/m; IQR = 13.6 μg/m) estimates from our satellite-based regional model were employed for exposure assessment at the sub-municipality level. Associations between PM with broad-category (organ-system) and cause-specific mortality outcomes were estimated with distributed lag conditional logistic models. We also fit models stratifying by potential individual-level effect modifiers including; age, sex, and individual SES-related characteristics namely: education, health insurance coverage, and job categories. Odds ratios were converted into percent increase for ease of interpretation.

RESULTS

PM exposure was associated with broad-category mortality outcomes, including all non-accidental, cardiovascular, cerebrovascular, respiratory, and digestive mortality. A 10-μg/m PM higher cumulative exposure over one week (lag) was associated with higher cause-specific mortality outcomes including hypertensive disease [2.28% (95%CI: 0.26%-4.33%)], acute ischemic heart disease [1.61% (95%CI: 0.59%-2.64%)], other forms of heart disease [2.39% (95%CI: -0.35%-5.20%)], hemorrhagic stroke [3.63% (95%CI: 0.79%-6.55%)], influenza and pneumonia [4.91% (95%CI: 2.84%-7.02%)], chronic respiratory disease [2.49% (95%CI: 0.71%-4.31%)], diseases of the liver [1.85% (95%CI: 0.31%-3.41%)], and renal failure [3.48% (95%CI: 0.79%-6.24%)]. No differences in effect size of associations were observed between age, sex and SES strata.

CONCLUSIONS

Exposure to PM was associated with non-accidental, broad-category and cause-specific mortality outcomes beyond the cardiovascular and respiratory systems, including specific death-causes from the digestive and genitourinary systems, with no indication of effect modification by individual-level characteristics.

摘要

背景

基于卫星的 PM 预测被用于推进发达国家的暴露科学和空气污染流行病学研究;包括关于 PM 对急性健康结果的影响的新证据,这些影响超出了心血管和呼吸系统,以及这些关联中个体水平因素的潜在调节作用。在中低收入国家,这些主题的研究还很缺乏。我们旨在探索墨西哥城大都市区(MCMA)中短期暴露于 PM 与广泛类别和特定原因死亡率之间的关系,以及这些关联中年龄、性别和 SES 特征的潜在效应修饰作用。

方法

我们使用了时间分层病例交叉研究设计,研究了 2004 年至 2019 年期间 MCMA 中 1479950 例非意外死亡。使用我们基于卫星的区域模型进行暴露评估,每天 1×1 公里 PM(中位数=23.4μg/m;IQR=13.6μg/m)估计值在市级以下水平。使用分布式滞后条件逻辑模型估计 PM 与广泛类别(器官系统)和特定原因死亡率之间的关系。我们还按潜在的个体水平效应修饰剂(包括年龄、性别和个体 SES 相关特征,即:教育、医疗保险覆盖范围和工作类别)进行了模型分层。比值比转换为易于解释的百分比增加。

结果

PM 暴露与广泛类别的死亡率结果有关,包括所有非意外、心血管、脑血管、呼吸和消化系统死亡率。一周(滞后)内每增加 10μg/m 的 PM 累积暴露量与更高的特定原因死亡率结果相关,包括高血压疾病[2.28%(95%CI:0.26%-4.33%)]、急性缺血性心脏病[1.61%(95%CI:0.59%-2.64%)]、其他形式的心脏病[2.39%(95%CI:-0.35%-5.20%)]、出血性中风[3.63%(95%CI:0.79%-6.55%)]、流感和肺炎[4.91%(95%CI:2.84%-7.02%)]、慢性呼吸道疾病[2.49%(95%CI:0.71%-4.31%)]、肝脏疾病[1.85%(95%CI:0.31%-3.41%)]和肾功能衰竭[3.48%(95%CI:0.79%-6.24%)]。在年龄、性别和 SES 分层中,关联的效应大小没有差异。

结论

暴露于 PM 与非意外、广泛类别和特定原因死亡率有关,超出了心血管和呼吸系统,包括消化系统和泌尿生殖系统的特定死因,没有个体水平特征的调节作用的迹象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e04f/10580614/5e90abf422cd/12940_2023_1024_Fig1_HTML.jpg

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