评估长期暴露于交通相关空气污染的情况:暴露框架。

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES
Allison P Patton, Hanna Boogaard, Danielle Vienneau, Jeffrey R Brook, Audrey Smargiassi, Meltem Kutlar Joss, Adam A Szpiro, Sharon K Sagiv, Evangelia Samoli, Barbara Hoffmann, Howard H Chang, Richard W Atkinson, Jennifer Weuve, Francesco Forastiere, Fred W Lurmann, Gerard Hoek
{"title":"评估长期暴露于交通相关空气污染的情况:暴露框架。","authors":"Allison P Patton, Hanna Boogaard, Danielle Vienneau, Jeffrey R Brook, Audrey Smargiassi, Meltem Kutlar Joss, Adam A Szpiro, Sharon K Sagiv, Evangelia Samoli, Barbara Hoffmann, Howard H Chang, Richard W Atkinson, Jennifer Weuve, Francesco Forastiere, Fred W Lurmann, Gerard Hoek","doi":"10.1038/s41370-024-00731-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Exposure to ambient air pollution is associated with morbidity and mortality, making it an important public health concern. Emissions from motorized traffic are a common source of air pollution but evaluating the contribution of traffic-related air pollution (TRAP) emissions to health risks is challenging because it is difficult to disentangle the contribution of individual air pollution sources to exposure contrasts in an epidemiological study.</p><p><strong>Objective: </strong>This paper describes a new framework to identify whether air pollution differences reflect contrasts in TRAP exposures. Because no commonly measured pollutant is entirely specific to on-road motor vehicles, this exposure framework combined information on pollutants, spatial scale (i.e., geographic extent), and exposure assessment methods and their spatial scale to determine whether the estimated effect of air pollution in a given study was related to differences in TRAP.</p><p><strong>Methods: </strong>The exposure framework extended beyond the near-road environment to include differences in exposure to TRAP at neighborhood resolution ( ≤ 5 km) across urban, regional, and national scales. It also embedded a stricter set of criteria to identify studies that provided the strongest evidence that exposure contrasts were related to differences in traffic emissions.</p><p><strong>Results: </strong>Application of the framework to the transparent selection of epidemiological studies for a systematic review produced insights on assessing and improving comparability of TRAP exposure measures, particularly for indirect measures such as distances from roads. It also highlighted study design challenges related to the duration of measurements and the structure of epidemiological models.</p><p><strong>Impact statement: </strong>This manuscript describes a new exposure framework to identify studies of traffic-related air pollution, a case study of its application in an HEI systematic review, and its implications for exposure science and air pollution epidemiology experts. It identifies challenges and provides recommendations for the field going forward. It is important to bring this information to the attention of researchers in air pollution exposure science and epidemiology because applying the broader lessons learned will improve the conduct and reporting of studies going forward.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of long-term exposure to traffic-related air pollution: An exposure framework.\",\"authors\":\"Allison P Patton, Hanna Boogaard, Danielle Vienneau, Jeffrey R Brook, Audrey Smargiassi, Meltem Kutlar Joss, Adam A Szpiro, Sharon K Sagiv, Evangelia Samoli, Barbara Hoffmann, Howard H Chang, Richard W Atkinson, Jennifer Weuve, Francesco Forastiere, Fred W Lurmann, Gerard Hoek\",\"doi\":\"10.1038/s41370-024-00731-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Exposure to ambient air pollution is associated with morbidity and mortality, making it an important public health concern. Emissions from motorized traffic are a common source of air pollution but evaluating the contribution of traffic-related air pollution (TRAP) emissions to health risks is challenging because it is difficult to disentangle the contribution of individual air pollution sources to exposure contrasts in an epidemiological study.</p><p><strong>Objective: </strong>This paper describes a new framework to identify whether air pollution differences reflect contrasts in TRAP exposures. Because no commonly measured pollutant is entirely specific to on-road motor vehicles, this exposure framework combined information on pollutants, spatial scale (i.e., geographic extent), and exposure assessment methods and their spatial scale to determine whether the estimated effect of air pollution in a given study was related to differences in TRAP.</p><p><strong>Methods: </strong>The exposure framework extended beyond the near-road environment to include differences in exposure to TRAP at neighborhood resolution ( ≤ 5 km) across urban, regional, and national scales. It also embedded a stricter set of criteria to identify studies that provided the strongest evidence that exposure contrasts were related to differences in traffic emissions.</p><p><strong>Results: </strong>Application of the framework to the transparent selection of epidemiological studies for a systematic review produced insights on assessing and improving comparability of TRAP exposure measures, particularly for indirect measures such as distances from roads. It also highlighted study design challenges related to the duration of measurements and the structure of epidemiological models.</p><p><strong>Impact statement: </strong>This manuscript describes a new exposure framework to identify studies of traffic-related air pollution, a case study of its application in an HEI systematic review, and its implications for exposure science and air pollution epidemiology experts. It identifies challenges and provides recommendations for the field going forward. It is important to bring this information to the attention of researchers in air pollution exposure science and epidemiology because applying the broader lessons learned will improve the conduct and reporting of studies going forward.</p>\",\"PeriodicalId\":15684,\"journal\":{\"name\":\"Journal of Exposure Science and Environmental Epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Exposure Science and Environmental Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41370-024-00731-5\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exposure Science and Environmental Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41370-024-00731-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:暴露于环境空气污染与发病率和死亡率有关,因此是一个重要的公共卫生问题。机动车排放是一种常见的空气污染源,但评估与交通有关的空气污染(TRAP)排放对健康风险的贡献具有挑战性,因为在流行病学研究中很难区分单个空气污染源对暴露对比的贡献:本文描述了一个新的框架,以确定空气污染的差异是否反映了 TRAP 暴露的对比。由于通常测量的污染物并不完全针对道路机动车,因此该暴露框架结合了污染物、空间尺度(即地理范围)、暴露评估方法及其空间尺度等方面的信息,以确定特定研究中空气污染的估计效应是否与 TRAP 的差异有关:暴露框架超越了近路环境,包括了城市、区域和国家范围内邻近地区分辨率(≤ 5 千米)的 TRAP 暴露差异。它还嵌入了一套更严格的标准,以确定哪些研究提供了最有力的证据,证明暴露对比与交通排放差异有关:结果:应用该框架对流行病学研究进行透明选择以进行系统回顾,对评估和提高 TRAP 暴露测量的可比性,尤其是对道路距离等间接测量方法的可比性,产生了深刻的见解。它还强调了与测量持续时间和流行病学模型结构有关的研究设计挑战:本手稿介绍了用于确定交通相关空气污染研究的新暴露框架、其在 HEI 系统综述中的应用案例研究,以及其对暴露科学和空气污染流行病学专家的影响。报告指出了该领域面临的挑战,并为该领域的未来发展提出了建议。提请空气污染暴露科学和流行病学研究人员注意这些信息非常重要,因为应用这些更广泛的经验教训将改善今后研究的开展和报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of long-term exposure to traffic-related air pollution: An exposure framework.

Background: Exposure to ambient air pollution is associated with morbidity and mortality, making it an important public health concern. Emissions from motorized traffic are a common source of air pollution but evaluating the contribution of traffic-related air pollution (TRAP) emissions to health risks is challenging because it is difficult to disentangle the contribution of individual air pollution sources to exposure contrasts in an epidemiological study.

Objective: This paper describes a new framework to identify whether air pollution differences reflect contrasts in TRAP exposures. Because no commonly measured pollutant is entirely specific to on-road motor vehicles, this exposure framework combined information on pollutants, spatial scale (i.e., geographic extent), and exposure assessment methods and their spatial scale to determine whether the estimated effect of air pollution in a given study was related to differences in TRAP.

Methods: The exposure framework extended beyond the near-road environment to include differences in exposure to TRAP at neighborhood resolution ( ≤ 5 km) across urban, regional, and national scales. It also embedded a stricter set of criteria to identify studies that provided the strongest evidence that exposure contrasts were related to differences in traffic emissions.

Results: Application of the framework to the transparent selection of epidemiological studies for a systematic review produced insights on assessing and improving comparability of TRAP exposure measures, particularly for indirect measures such as distances from roads. It also highlighted study design challenges related to the duration of measurements and the structure of epidemiological models.

Impact statement: This manuscript describes a new exposure framework to identify studies of traffic-related air pollution, a case study of its application in an HEI systematic review, and its implications for exposure science and air pollution epidemiology experts. It identifies challenges and provides recommendations for the field going forward. It is important to bring this information to the attention of researchers in air pollution exposure science and epidemiology because applying the broader lessons learned will improve the conduct and reporting of studies going forward.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
×
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