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墨西哥蒙特雷一种与死亡率相关的新的空气质量与热指数综合指标

A New Combined Air Quality and Heat Index in Relation to Mortality in Monterrey, Mexico.

作者信息

Fever Shayna K, Kahl Jonathan D W, Kalkbrenner Amy E, Cerón Bretón Rosa M, Cerón Bretón Julia G

机构信息

Atmospheric Science Program, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

出版信息

Int J Environ Res Public Health. 2022 Mar 11;19(6):3299. doi: 10.3390/ijerph19063299.

DOI:10.3390/ijerph19063299
PMID:35328987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8948654/
Abstract

The negative synergistic effects of air pollution and sensible heat on public health have been noted in numerous studies. While separate, simplified, and public-facing indices have been developed to communicate the risks of unhealthful levels of air pollution and extreme heat, a combined index containing elements of both has rarely been investigated. Utilizing air quality, meteorology, and mortality data in Monterrey, Mexico, we investigated whether the association between the air quality index (AQI) and mortality was improved by considering elements of the heat index (HI). We created combined indices featuring additive, multiplicative, and either/or formulations and evaluated their relationship to mortality. Results showed increased associations with mortality for models employing indices that combined the AQI and the HI in an additive or multiplicative manner, with increases in the interquartile relative risk of 3-5% over that resulting from models employing the AQI alone.

摘要

空气污染和显热对公众健康的负面协同效应已在众多研究中得到关注。虽然已开发出单独的、简化的且面向公众的指数来传达空气污染不健康水平和极端高温的风险,但很少有人研究包含两者要素的综合指数。利用墨西哥蒙特雷的空气质量、气象和死亡率数据,我们研究了考虑热指数(HI)要素是否能改善空气质量指数(AQI)与死亡率之间的关联。我们创建了具有相加、相乘以及“或”关系公式的综合指数,并评估了它们与死亡率的关系。结果表明,采用以相加或相乘方式结合AQI和HI的指数的模型与死亡率的关联增加,四分位数相对风险比仅采用AQI的模型增加了3 - 5%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/851850adee2b/ijerph-19-03299-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/7d38c5021bfb/ijerph-19-03299-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/e52722a3aa69/ijerph-19-03299-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/6b65c98f78c1/ijerph-19-03299-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/bbb32c37ab0e/ijerph-19-03299-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/aa7db1251aee/ijerph-19-03299-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/851850adee2b/ijerph-19-03299-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/7d38c5021bfb/ijerph-19-03299-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/e52722a3aa69/ijerph-19-03299-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/6b65c98f78c1/ijerph-19-03299-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/bbb32c37ab0e/ijerph-19-03299-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/aa7db1251aee/ijerph-19-03299-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/8948654/851850adee2b/ijerph-19-03299-g006.jpg

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