Cargando…

Short-term exposure to PM(2.5) and 1.5 million deaths: a time-stratified case-crossover analysis in the Mexico City Metropolitan Area

BACKGROUND: Satellite-based PM(2.5) predictions are being used to advance exposure science and air-pollution epidemiology in developed countries; including emerging evidence about the impacts of PM(2.5) on acute health outcomes beyond the cardiovascular and respiratory systems, and the potential mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Gutiérrez-Avila, Iván, Riojas-Rodríguez, Horacio, Colicino, Elena, Rush, Johnathan, Tamayo-Ortiz, Marcela, Borja-Aburto, Víctor Hugo, Just, Allan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580614/
https://www.ncbi.nlm.nih.gov/pubmed/37848890
http://dx.doi.org/10.1186/s12940-023-01024-4
Descripción
Sumario:BACKGROUND: Satellite-based PM(2.5) predictions are being used to advance exposure science and air-pollution epidemiology in developed countries; including emerging evidence about the impacts of PM(2.5) 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 PM(2.5) 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 × 1 km PM(2.5) (median = 23.4 μg/m(3); IQR = 13.6 μg/m(3)) estimates from our satellite-based regional model were employed for exposure assessment at the sub-municipality level. Associations between PM(2.5) 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: PM(2.5) exposure was associated with broad-category mortality outcomes, including all non-accidental, cardiovascular, cerebrovascular, respiratory, and digestive mortality. A 10-μg/m(3) PM(2.5) 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 PM(2.5) 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-023-01024-4.