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

In meta-analyses on the health impacts of PM<sub>2.5</sub> components, ignoring the differential effects of BC and NBC causes significant biases in estimating associations with all-cause mortality. Our study presents a novel method to adjust for OVB in meta-analyses, and we find that BC more harmful than NBC components of PM<sub>2.5</sub> by using the novel method.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2025-08-18
DOI
https://doi.org/10.1016/j.ecoenv.2025.118859
Citations
1
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20

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article

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

Hong Sheng Lu, Ning Kang, Pengfei Li, Jianyu Deng et al.
1 citations
Ecotoxicology and Environmental Safety
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article

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

Hong Sheng Lu, Ning Kang, Pengfei Li, Jianyu Deng, Tao Xue, Meng Wang, Mingkun Tong, Xueqiu Ni, Mei Zheng, Mingjin Tang, Tong Fei Zhu
article en
1 citations

Abstract

In meta-analyses on the health impacts of PM<sub>2.5</sub> components, ignoring the differential effects of BC and NBC causes significant biases in estimating associations with all-cause mortality. Our study presents a novel method to adjust for OVB in meta-analyses, and we find that BC more harmful than NBC components of PM<sub>2.5</sub> by using the novel method.

Ecotoxicology and Environmental SafetyVol. 303
Chinese Academy of Sciences (CN), Peking University (CN), National Health and Family Planning Commission (CN), Guangzhou Institute of Geochemistry (CN), State Key Joint Laboratory of Environment Simulation and Pollution Control (CN), Ministry of Health (OM), University at Buffalo, State University of New York (US)
Key Technologies Research and Development Program of Anhui Province, National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China, National Institute of Environmental Health Sciences
Openalex Percentile: Top 19%
Air Quality and Health Impacts
1.20
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