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Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019
BACKGROUND: Long-term exposure to air pollution has been associated with the onset and progression of kidney diseases, but the association between short-term exposure to air pollution and mortality of kidney diseases has not yet been reported. METHODS: A nationally representative sample of 101,919 d...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875429/ https://www.ncbi.nlm.nih.gov/pubmed/36694165 http://dx.doi.org/10.1186/s12916-023-02734-9 |
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author | Cai, Miao Wei, Jing Zhang, Shiyu Liu, Wei Wang, Lijun Qian, Zhengmin Lin, Hualiang Liu, Echu McMillin, Stephen Edward Cao, Yu Yin, Peng |
author_facet | Cai, Miao Wei, Jing Zhang, Shiyu Liu, Wei Wang, Lijun Qian, Zhengmin Lin, Hualiang Liu, Echu McMillin, Stephen Edward Cao, Yu Yin, Peng |
author_sort | Cai, Miao |
collection | PubMed |
description | BACKGROUND: Long-term exposure to air pollution has been associated with the onset and progression of kidney diseases, but the association between short-term exposure to air pollution and mortality of kidney diseases has not yet been reported. METHODS: A nationally representative sample of 101,919 deaths from kidney diseases was collected from the Chinese Center for Disease Control and Prevention from 2015 to 2019. A time-stratified case-crossover study was applied to determine the associations. Satellite-based estimates of air pollution were assigned to each case and control day using a bilinear interpolation approach and geo-coded residential addresses. Conditional logistic regression models were constructed to estimate the associations adjusting for nonlinear splines of temperature and relative humidity. RESULTS: Each 10 µg/m(3) increment in lag 0–1 mean concentrations of air pollutants was associated with a percent increase in death from kidney disease: 1.33% (95% confidence interval [CI]: 0.57% to 2.1%) for PM(1), 0.49% (95% CI: 0.10% to 0.88%) for PM(2.5), 0.32% (95% CI: 0.08% to 0.57%) for PM(10), 1.26% (95% CI: 0.29% to 2.24%) for NO(2), and 2.9% (95% CI: 1.68% to 4.15%) for SO(2). CONCLUSIONS: Our study suggests that short-term exposure to ambient PM(1), PM(2.5), PM(10), NO(2), and SO(2) might be important environmental risk factors for death due to kidney diseases in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02734-9. |
format | Online Article Text |
id | pubmed-9875429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98754292023-01-26 Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 Cai, Miao Wei, Jing Zhang, Shiyu Liu, Wei Wang, Lijun Qian, Zhengmin Lin, Hualiang Liu, Echu McMillin, Stephen Edward Cao, Yu Yin, Peng BMC Med Research Article BACKGROUND: Long-term exposure to air pollution has been associated with the onset and progression of kidney diseases, but the association between short-term exposure to air pollution and mortality of kidney diseases has not yet been reported. METHODS: A nationally representative sample of 101,919 deaths from kidney diseases was collected from the Chinese Center for Disease Control and Prevention from 2015 to 2019. A time-stratified case-crossover study was applied to determine the associations. Satellite-based estimates of air pollution were assigned to each case and control day using a bilinear interpolation approach and geo-coded residential addresses. Conditional logistic regression models were constructed to estimate the associations adjusting for nonlinear splines of temperature and relative humidity. RESULTS: Each 10 µg/m(3) increment in lag 0–1 mean concentrations of air pollutants was associated with a percent increase in death from kidney disease: 1.33% (95% confidence interval [CI]: 0.57% to 2.1%) for PM(1), 0.49% (95% CI: 0.10% to 0.88%) for PM(2.5), 0.32% (95% CI: 0.08% to 0.57%) for PM(10), 1.26% (95% CI: 0.29% to 2.24%) for NO(2), and 2.9% (95% CI: 1.68% to 4.15%) for SO(2). CONCLUSIONS: Our study suggests that short-term exposure to ambient PM(1), PM(2.5), PM(10), NO(2), and SO(2) might be important environmental risk factors for death due to kidney diseases in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02734-9. BioMed Central 2023-01-24 /pmc/articles/PMC9875429/ /pubmed/36694165 http://dx.doi.org/10.1186/s12916-023-02734-9 Text en © The Author(s) 2023 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 Article Cai, Miao Wei, Jing Zhang, Shiyu Liu, Wei Wang, Lijun Qian, Zhengmin Lin, Hualiang Liu, Echu McMillin, Stephen Edward Cao, Yu Yin, Peng Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title | Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title_full | Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title_fullStr | Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title_full_unstemmed | Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title_short | Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019 |
title_sort | short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in china from 2015 to 2019 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875429/ https://www.ncbi.nlm.nih.gov/pubmed/36694165 http://dx.doi.org/10.1186/s12916-023-02734-9 |
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