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Daily 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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882435/ https://www.ncbi.nlm.nih.gov/pubmed/36711599 http://dx.doi.org/10.1101/2023.01.15.23284576 |
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author | Gutiérrez-Avila, Iván Riojas-Rodríguez, Horacio Colicino, Elena Rush, Johnathan Tamayo-Ortiz, Marcela Borja-Aburto, Víctor Hugo Just, Allan C. |
author_facet | Gutiérrez-Avila, Iván Riojas-Rodríguez, Horacio Colicino, Elena Rush, Johnathan Tamayo-Ortiz, Marcela Borja-Aburto, Víctor Hugo Just, Allan C. |
author_sort | Gutiérrez-Avila, Iván |
collection | PubMed |
description | 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 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 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. RESULTS. PM(2.5) exposure was associated with higher total 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 SES strata. CONCLUSIONS. Exposure to PM(2.5) 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. |
format | Online Article Text |
id | pubmed-9882435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-98824352023-01-28 Daily exposure to PM(2.5) 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. medRxiv Article 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 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 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. RESULTS. PM(2.5) exposure was associated with higher total 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 SES strata. CONCLUSIONS. Exposure to PM(2.5) 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. Cold Spring Harbor Laboratory 2023-01-17 /pmc/articles/PMC9882435/ /pubmed/36711599 http://dx.doi.org/10.1101/2023.01.15.23284576 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Gutiérrez-Avila, Iván Riojas-Rodríguez, Horacio Colicino, Elena Rush, Johnathan Tamayo-Ortiz, Marcela Borja-Aburto, Víctor Hugo Just, Allan C. Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title | Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title_full | Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title_fullStr | Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title_full_unstemmed | Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title_short | Daily exposure to PM(2.5) and 1.5 million deaths: A time-stratified case-crossover analysis in the Mexico City Metropolitan Area |
title_sort | daily exposure to pm(2.5) and 1.5 million deaths: a time-stratified case-crossover analysis in the mexico city metropolitan area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882435/ https://www.ncbi.nlm.nih.gov/pubmed/36711599 http://dx.doi.org/10.1101/2023.01.15.23284576 |
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