Industrial air pollutant emissions and mortality from Alzheimer's disease in Canada

Sabit Cakmak , Olaniyan Toyib , Chris Hebbern , Kimberly Mitchell , Jasmine D. Cakmak , Eric Lavigne , Michael Tjepkema , Naizhuo Zhao
{"title":"Industrial air pollutant emissions and mortality from Alzheimer's disease in Canada","authors":"Sabit Cakmak ,&nbsp;Olaniyan Toyib ,&nbsp;Chris Hebbern ,&nbsp;Kimberly Mitchell ,&nbsp;Jasmine D. Cakmak ,&nbsp;Eric Lavigne ,&nbsp;Michael Tjepkema ,&nbsp;Naizhuo Zhao","doi":"10.1016/j.heha.2022.100019","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>There is increasing interest in the health effects of source-specific air pollution. However, the relationship between industrial air pollutants and Alzheimer's disease has received limited investigation.</p></div><div><h3>Objectives</h3><p>To assess associations of industrial fine particulate matter (PM<sub>2.5</sub>), nitrogen dioxide (NO<sub>2</sub>), and sulfur dioxide (SO<sub>2</sub>) exposures with mortality from Alzheimer's disease.</p></div><div><h3>Methods</h3><p>Approximately 3.2 million adults involved in the 2006 Canadian Census Health and Environment Cohort (CanCHEC) were followed from Census day (May 16, 2006) until death or December 31, 2016. Three-year moving-average industrial emissions with a one-year lag were assigned to the participants based on their residential postal codes. The neighborhood emission of each of the three industrial air pollutants for a postal code was estimated by considering weights of the air pollutant emissions from all industries within a 15 km buffer area, distances between the postal code area and the emitters, and percentages of time per year that the postal code area was downwind of the industrial emitters. Cox proportional hazards models were used to compute hazard ratios (HRs) for deaths from Alzheimer's, adjusting for 15 socio-demographic and contextual covariates. Sensitivity analyses were conducted by adjusting for other industrial emissions, greenness, and comorbidity index, individually.</p></div><div><h3>Results</h3><p>We identified 4500 deaths due to Alzheimer's disease from 2006 to 2016 for a total of 32,909,200 person-years across the follow-up period. The adjusted HR for mortality from Alzheimer's related to one interquartile range increase in industrial PM<sub>2.5</sub>, NO<sub>2</sub>, and SO<sub>2</sub> tonnes/meter per year are 1.006 (95% confidence intervals: 1.000-1.011), 0.994 (0.978-1.011), and 0.998 (0.996-1.001), respectively. Similar positive associations between industrial PM<sub>2.5</sub> and mortality from Alzheimer's disease were observed, but there were no clear associations for NO<sub>2</sub> and SO<sub>2</sub> in sensitivity analyses.</p></div><div><h3>Conclusions</h3><p>Exposure to industrial PM<sub>2.5</sub> increases the risk of mortality from Alzheimer's disease.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000198/pdfft?md5=6cfccbf9089b2a20b3e92f0cbdbe8268&pid=1-s2.0-S2773049222000198-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hygiene and environmental health advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773049222000198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background

There is increasing interest in the health effects of source-specific air pollution. However, the relationship between industrial air pollutants and Alzheimer's disease has received limited investigation.

Objectives

To assess associations of industrial fine particulate matter (PM2.5), nitrogen dioxide (NO2), and sulfur dioxide (SO2) exposures with mortality from Alzheimer's disease.

Methods

Approximately 3.2 million adults involved in the 2006 Canadian Census Health and Environment Cohort (CanCHEC) were followed from Census day (May 16, 2006) until death or December 31, 2016. Three-year moving-average industrial emissions with a one-year lag were assigned to the participants based on their residential postal codes. The neighborhood emission of each of the three industrial air pollutants for a postal code was estimated by considering weights of the air pollutant emissions from all industries within a 15 km buffer area, distances between the postal code area and the emitters, and percentages of time per year that the postal code area was downwind of the industrial emitters. Cox proportional hazards models were used to compute hazard ratios (HRs) for deaths from Alzheimer's, adjusting for 15 socio-demographic and contextual covariates. Sensitivity analyses were conducted by adjusting for other industrial emissions, greenness, and comorbidity index, individually.

Results

We identified 4500 deaths due to Alzheimer's disease from 2006 to 2016 for a total of 32,909,200 person-years across the follow-up period. The adjusted HR for mortality from Alzheimer's related to one interquartile range increase in industrial PM2.5, NO2, and SO2 tonnes/meter per year are 1.006 (95% confidence intervals: 1.000-1.011), 0.994 (0.978-1.011), and 0.998 (0.996-1.001), respectively. Similar positive associations between industrial PM2.5 and mortality from Alzheimer's disease were observed, but there were no clear associations for NO2 and SO2 in sensitivity analyses.

Conclusions

Exposure to industrial PM2.5 increases the risk of mortality from Alzheimer's disease.

Abstract Image

加拿大工业空气污染物排放和阿尔茨海默病死亡率
背景:人们对特定源空气污染对健康的影响越来越感兴趣。然而,工业空气污染物与阿尔茨海默病之间的关系研究有限。目的评估工业细颗粒物(PM2.5)、二氧化氮(NO2)和二氧化硫(SO2)暴露与阿尔茨海默病死亡率的关系。方法从2006年加拿大人口普查健康与环境队列(CanCHEC)中约320万成年人从人口普查日(2006年5月16日)到死亡或2016年12月31日进行随访。研究人员根据参与者居住的邮政编码给他们分配了三年移动平均工业排放量,其中滞后一年。通过考虑15公里缓冲区内所有工业的空气污染物排放的权重、邮政编码区域与排放者之间的距离以及邮政编码区域每年处于工业排放者下风的时间百分比,估算了邮政编码区域内三种工业空气污染物的邻域排放量。Cox比例风险模型用于计算阿尔茨海默氏症死亡的风险比(hr),调整了15个社会人口统计学和背景协变量。通过单独调整其他工业排放、绿色度和合并症指数进行敏感性分析。在2006年至2016年期间,我们确定了4500例阿尔茨海默病死亡病例,随访期间共3299.92万人年。与工业PM2.5、NO2和SO2吨/米每年增加一个四分位数范围相关的阿尔茨海默病死亡率调整后的HR分别为1.006(95%置信区间:1.000-1.011)、0.994(0.978-1.011)和0.998(0.996-1.001)。工业PM2.5与阿尔茨海默病死亡率之间也观察到类似的正相关,但在敏感性分析中,NO2和SO2没有明显的相关性。结论工业PM2.5暴露可增加阿尔茨海默病死亡风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
38 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信