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Short term exposure to air pollution and mortality in the US: a double negative control analysis
RATIONALE: Studies examining the association of short-term air pollution exposure and daily deaths have typically been limited to cities and used citywide average exposures, with few using causal models. OBJECTIVES: To estimate the associations between short-term exposures to fine particulate matter...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446691/ https://www.ncbi.nlm.nih.gov/pubmed/36068579 http://dx.doi.org/10.1186/s12940-022-00886-4 |
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author | Liu, Rongqi Abbie Wei, Yaguang Qiu, Xinye Kosheleva, Anna Schwartz, Joel D. |
author_facet | Liu, Rongqi Abbie Wei, Yaguang Qiu, Xinye Kosheleva, Anna Schwartz, Joel D. |
author_sort | Liu, Rongqi Abbie |
collection | PubMed |
description | RATIONALE: Studies examining the association of short-term air pollution exposure and daily deaths have typically been limited to cities and used citywide average exposures, with few using causal models. OBJECTIVES: To estimate the associations between short-term exposures to fine particulate matter (PM(2.5)), ozone (O(3)), and nitrogen dioxide (NO(2)) and all-cause and cause-specific mortality in multiple US states using census tract or address exposure and including rural areas, using a double negative control analysis. METHODS: We conducted a time-stratified case-crossover study examining the entire population of seven US states from 2000–2015, with over 3 million non-accidental deaths. Daily predictions of PM(2.5), O(3), and NO(2) at 1x1 km grid cells were linked to mortality based on census track or residential address. For each pollutant, we used conditional logistic regression to quantify the association between exposure and the relative risk of mortality conditioning on meteorological variables, other pollutants, and using double negative controls. RESULTS: A 10 μg/m(3) increase in PM(2.5) exposure at the moving average of lag 0–2 day was significantly associated with a 0.67% (95%CI: 0.34–1.01%) increase in all-cause mortality. 10 ppb increases in NO(2) or O(3) exposure at lag 0–2 day were marginally associated with and 0.19% (95%CI: −0.01-0.38%) and 0.20 (95% CI-0.01, 0.40), respectively. The adverse effects of PM(2.5) persisted when pollution levels were restricted to below the current global air pollution standards. Negative control models indicated little likelihood of omitted confounders for PM(2.5), and mixed results for the gases. PM(2.5) was also significantly associated with respiratory mortality and cardiovascular mortality. CONCLUSIONS: Short-term exposure to PM(2.5) and possibly O(3) and NO(2) are associated with increased risks for all-cause mortality. Our findings delivered evidence that risks of death persisted at levels below currently permissible. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-022-00886-4. |
format | Online Article Text |
id | pubmed-9446691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94466912022-09-07 Short term exposure to air pollution and mortality in the US: a double negative control analysis Liu, Rongqi Abbie Wei, Yaguang Qiu, Xinye Kosheleva, Anna Schwartz, Joel D. Environ Health Research RATIONALE: Studies examining the association of short-term air pollution exposure and daily deaths have typically been limited to cities and used citywide average exposures, with few using causal models. OBJECTIVES: To estimate the associations between short-term exposures to fine particulate matter (PM(2.5)), ozone (O(3)), and nitrogen dioxide (NO(2)) and all-cause and cause-specific mortality in multiple US states using census tract or address exposure and including rural areas, using a double negative control analysis. METHODS: We conducted a time-stratified case-crossover study examining the entire population of seven US states from 2000–2015, with over 3 million non-accidental deaths. Daily predictions of PM(2.5), O(3), and NO(2) at 1x1 km grid cells were linked to mortality based on census track or residential address. For each pollutant, we used conditional logistic regression to quantify the association between exposure and the relative risk of mortality conditioning on meteorological variables, other pollutants, and using double negative controls. RESULTS: A 10 μg/m(3) increase in PM(2.5) exposure at the moving average of lag 0–2 day was significantly associated with a 0.67% (95%CI: 0.34–1.01%) increase in all-cause mortality. 10 ppb increases in NO(2) or O(3) exposure at lag 0–2 day were marginally associated with and 0.19% (95%CI: −0.01-0.38%) and 0.20 (95% CI-0.01, 0.40), respectively. The adverse effects of PM(2.5) persisted when pollution levels were restricted to below the current global air pollution standards. Negative control models indicated little likelihood of omitted confounders for PM(2.5), and mixed results for the gases. PM(2.5) was also significantly associated with respiratory mortality and cardiovascular mortality. CONCLUSIONS: Short-term exposure to PM(2.5) and possibly O(3) and NO(2) are associated with increased risks for all-cause mortality. Our findings delivered evidence that risks of death persisted at levels below currently permissible. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-022-00886-4. BioMed Central 2022-09-06 /pmc/articles/PMC9446691/ /pubmed/36068579 http://dx.doi.org/10.1186/s12940-022-00886-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Rongqi Abbie Wei, Yaguang Qiu, Xinye Kosheleva, Anna Schwartz, Joel D. Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title | Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title_full | Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title_fullStr | Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title_full_unstemmed | Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title_short | Short term exposure to air pollution and mortality in the US: a double negative control analysis |
title_sort | short term exposure to air pollution and mortality in the us: a double negative control analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446691/ https://www.ncbi.nlm.nih.gov/pubmed/36068579 http://dx.doi.org/10.1186/s12940-022-00886-4 |
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