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世界贸易中心暴露组与9·11救援及恢复工作者的健康影响

The World Trade Center Exposome and Health Effects in 9/11 Rescue and Recovery Workers.

作者信息

Rechtman Elza, Rodriguez Michelle, Colicino Elena, Hahn Christopher, Navarro Esmeralda, Invernizzi Azzurra, Dasaro Christopher, Teitelbaum Susan, Todd Andrew, Horton Megan

机构信息

Icahn School of Medicine at Mount Sinai, New York, NY.

Icahn School of Medicine at Mount Sinai.

出版信息

Res Sq. 2023 Dec 12:rs.3.rs-3482965. doi: 10.21203/rs.3.rs-3482965/v1.

Abstract

In the aftermath of the World Trade Center (WTC) attack, rescue and recovery workers faced hazardous conditions and toxic agents. Prior research linked these exposures to adverse health effects, but mainly examined individual factors, overlooking complex mixture effects. This study applies an exposomic approach encompassing the totality of responders' experience, defined as the WTC exposome. We analyzed data from 34,096 members of the WTC Health Program General Responder, including mental and physical health, occupational history, traumatic and environmental exposures using generalized weighted quantile sum regression. We find a significant association between the exposure mixture index all investigated health outcomes. Factors identified as risk factors include working in an enclosed heavily contaminated area, construction occupation, and exposure to blood and body fluids. Conversely, full-time employment emerged as a protective factor. This exposomics study emphasizes the importance of considering combined exposures. In an era marked by more frequent and severe natural disasters due to the evolving climate crisis, the exposomic framework holds promise as a valuable tool for disaster preparedness.

摘要

在世界贸易中心(WTC)袭击事件发生后,救援和恢复工作人员面临着危险的环境和有毒物质。先前的研究将这些暴露与不良健康影响联系起来,但主要研究的是个体因素,忽略了复杂的混合效应。本研究采用一种暴露组学方法,涵盖了所有应急人员的经历,定义为世贸中心暴露组。我们分析了来自世贸中心健康计划一般应急人员的34,096名成员的数据,包括心理健康和身体健康、职业史、创伤和环境暴露,采用广义加权分位数和回归分析。我们发现暴露混合物指数与所有调查的健康结果之间存在显著关联。被确定为风险因素的因素包括在封闭的重度污染区域工作、建筑行业职业以及接触血液和体液。相反,全职工作则是一个保护因素。这项暴露组学研究强调了考虑综合暴露的重要性。在一个因气候危机不断演变而自然灾害更加频繁和严重的时代,暴露组学框架有望成为灾害准备的宝贵工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9c/10760298/676c6195fdd3/nihpp-rs3482965v1-f0001.jpg

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