Outdoor environmental exposome and the burden of tuberculosis: Findings from nearly two million adults in northwestern China

We simultaneously assessed the associations for a range of outdoor environmental exposures with prevalent tuberculosis (TB) cases in a population-based health program with 1940,622 participants ≥ 15 years of age. TB status was confirmed through bacteriological and clinical assessment. We measured 14...

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Published in:Journal of hazardous materials 2023-10, Vol.459, p.132222-132222, Article 132222
Main Authors: Li, Jia-Xin, Luan, Qiyun, Li, Beibei, Dharmage, Shyamali C., Heinrich, Joachim, Bloom, Michael S., Knibbs, Luke D., Popovic, Igor, Li, Li, Zhong, Xuemei, Xu, Aimin, He, Chuanjiang, Liu, Kang-Kang, Liu, Xiao-Xuan, Chen, Gongbo, Xiang, Mingdeng, Yu, Yunjiang, Guo, Yuming, Dong, Guang-Hui, Zou, Xiaoguang, Yang, Bo-Yi
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Language:English
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Air pollutants
Geography
Meteorology
Outdoor environment
Tuberculosis
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cited_by cdi_FETCH-LOGICAL-c365t-78a5a8d478068ee4751bc01bcc9e4515c830652e668e7950f247538ff1cafd543
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container_title Journal of hazardous materials
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creator Li, Jia-Xin
Luan, Qiyun
Li, Beibei
Dharmage, Shyamali C.
Heinrich, Joachim
Bloom, Michael S.
Knibbs, Luke D.
Popovic, Igor
Li, Li
Zhong, Xuemei
Xu, Aimin
He, Chuanjiang
Liu, Kang-Kang
Liu, Xiao-Xuan
Chen, Gongbo
Xiang, Mingdeng
Yu, Yunjiang
Guo, Yuming
Dong, Guang-Hui
Zou, Xiaoguang
Yang, Bo-Yi
description We simultaneously assessed the associations for a range of outdoor environmental exposures with prevalent tuberculosis (TB) cases in a population-based health program with 1940,622 participants ≥ 15 years of age. TB status was confirmed through bacteriological and clinical assessment. We measured 14 outdoor environmental exposures at residential addresses. An exposome-wide association study (ExWAS) approach was used to estimate cross-sectional associations between environmental exposures and prevalent TB, an adaptive elastic net model (AENET) was implemented to select important exposure(s), and the Extreme Gradient Boosting algorithm was subsequently applied to assess their relative importance. In ExWAS analysis, 12 exposures were significantly associated with prevalent TB. Eight of the exposures were selected as predictors by the AENET model: particulate matter ≤ 2.5 µm (odds ratio [OR]=1.01, p = 0.3295), nitrogen dioxide (OR=1.09, p 
doi_str_mv 10.1016/j.jhazmat.2023.132222
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TB status was confirmed through bacteriological and clinical assessment. We measured 14 outdoor environmental exposures at residential addresses. An exposome-wide association study (ExWAS) approach was used to estimate cross-sectional associations between environmental exposures and prevalent TB, an adaptive elastic net model (AENET) was implemented to select important exposure(s), and the Extreme Gradient Boosting algorithm was subsequently applied to assess their relative importance. In ExWAS analysis, 12 exposures were significantly associated with prevalent TB. Eight of the exposures were selected as predictors by the AENET model: particulate matter ≤ 2.5 µm (odds ratio [OR]=1.01, p = 0.3295), nitrogen dioxide (OR=1.09, p &lt; 0.0001), carbon monoxide (OR=1.19, p &lt; 0.0001), and wind speed (OR=1.08, p &lt; 0.0001) were positively associated with the odds of prevalent TB while sulfur dioxide (OR=0.95, p = 0.0017), altitude (OR=0.97, p &lt; 0.0001), artificial light at night (OR=0.98, p = 0.0001), and proportion of forests, shrublands, and grasslands (OR=0.95, p &lt; 0.0001) were negatively associated with the odds of prevalent TB. Air pollutants had higher relative importance than meteorological and geographical factors, and the outdoor environment collectively explained 11% of TB prevalence. [Display omitted] •We performed a cross-sectional study of 1940,622 adults in northwestern China.•Associations between fourteen environmental exposures and TB were assessed.•Exposome-wide approach and advanced machine learning methods were employed.•Twelve environmental exposures were significantly associated with prevalent TB.•Air pollutants had higher relative importance than other exposures for TB prevalence.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/j.jhazmat.2023.132222</identifier><identifier>PMID: 37557043</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Air pollutants ; Geography ; Meteorology ; Outdoor environment ; Tuberculosis</subject><ispartof>Journal of hazardous materials, 2023-10, Vol.459, p.132222-132222, Article 132222</ispartof><rights>2023 Elsevier B.V.</rights><rights>Copyright © 2023 Elsevier B.V. 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subjects Air pollutants
Geography
Meteorology
Outdoor environment
Tuberculosis
title Outdoor environmental exposome and the burden of tuberculosis: Findings from nearly two million adults in northwestern China
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