Short-term exposure to PM2.5 and 1.5 million deaths: a time-stratified case-crossover analysis in the Mexico City Metropolitan Area

被引:7
|
作者
Gutierrez-Avila, Ivan [1 ]
Riojas-Rodriguez, Horacio [2 ]
Colicino, Elena [1 ]
Rush, Johnathan [1 ]
Tamayo-Ortiz, Marcela [3 ]
Borja-Aburto, Victor Hugo [4 ]
Just, Allan C. [1 ,5 ]
机构
[1] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, One Gustave L Levy Pl,Box 1057, New York, NY 10029 USA
[2] Inst Nacl Salud Publ, Direcc Salud Ambiental, Cuernavaca, Mexico
[3] Inst Mexicano Seguro Social, Unidad Invest Salud Ocupac, Mexico City, DF, Mexico
[4] Inst Mexicano Seguro Social, Mexico City, DF, Mexico
[5] Icahn Sch Med Mt Sinai, Inst Expos Res, New York, NY USA
基金
美国国家卫生研究院;
关键词
PM2.5; Cause-specific mortality; Short-term exposure; Case-crossover study; CAUSE-SPECIFIC MORTALITY; AIR-POLLUTION; REFERENT SELECTION; LATIN-AMERICA; ALL-CAUSE; HEALTH; ASSOCIATION; SPECTRUM; SERIES;
D O I
10.1186/s12940-023-01024-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Satellite-based PM2.5 predictions are being used to advance exposure science and air-pollution epidemiology in developed countries; including emerging evidence about the impacts of PM2.5 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 PM2.5 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 x 1 km PM2.5 (median = 23.4 mu g/m(3); IQR = 13.6 mu g/m(3)) estimates from our satellite-based regional model were employed for exposure assessment at the sub-municipality level. Associations between PM2.5 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 PM2.5 exposure was associated with broad-category mortality outcomes, including all non-accidental, cardiovascular, cerebrovascular, respiratory, and digestive mortality. A 10-mu g/m(3) PM2.5 higher cumulative exposure over one week (lag(06)) 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 PM2.5 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.
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页数:15
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