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Daily exposure to PM2.5 and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area.
Gutiérrez-Avila, Iván; Riojas-Rodríguez, Horacio; Colicino, Elena; Rush, Johnathan; Tamayo-Ortiz, Marcela; Borja-Aburto, Víctor Hugo; Just, Allan C.
Afiliação
  • Gutiérrez-Avila I; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Riojas-Rodríguez H; Dirección de Salud Ambiental, Instituto Nacional de Salud Pública, Cuernavaca Morelos, México.
  • Colicino E; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Rush J; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Tamayo-Ortiz M; Instituto Mexicano del Seguro Social. Unidad de Investigación en Salud Ocupacional, México City, México.
  • Borja-Aburto VH; Instituto Mexicano del Seguro Social, México City, México.
  • Just AC; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
medRxiv ; 2023 Jan 17.
Article em En | MEDLINE | ID: mdl-36711599
ABSTRACT

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 Latin America.

Methods:

We used a time-stratified case-crossover study design with 1,479,950 non-accidental deaths from Mexico City Metropolitan Area for the period of 2004-2019. Daily 1×1 km PM2.5 (median=23.4 µg/m3; IQR=13.6 µg/m3) 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.

Results:

PM2.5 exposure was associated with higher total non-accidental, cardiovascular, cerebrovascular, respiratory, and digestive mortality. A 10-µg/m3 PM2.5 higher cumulative exposure over one week (lag06) 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 SES strata.

Conclusions:

Exposure to PM2.5 was associated with mortality outcomes beyond the cardiovascular and respiratory systems, including specific death-causes from the digestive and genitourinary systems, with no indications of effect modification by individual SES-related characteristics.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article