Bias in the estimated association between all-cause mortality and long-term exposure to a specific chemical component of fine particulate matter: The example of black carbon

Bias in the estimated association between all-cause mortality and long-term exposure to a specific chemical component of fine particulate matter: The example of black carbon

Introduction: Long-term exposure to fine particulate matter (PM2.5) has been linked to many adverse health outcomes, which can vary significantly depending on the chemical profile of the PM2.5. However, many meta-analyses of the health effects of a specific component of PM2.5 have ignored the effect...

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Bibliographic Details
Main Authors: Jianyu Deng, Ning Kang, Xueqiu Ni, Hong Lu, Meng Wang, Mingkun Tong, Pengfei Li, Mingjin Tang, Tao Xue, Mei Zheng, Tong Zhu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Omitted variable bias
PM2.5
Black carbon
Long-term exposure
All-cause mortality
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325012047
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