Association Between Ambient Air Pollution and Elevated Risk of Tuberculosis Development.

ambient air pollution exposure-response function population attributable fraction probabilistic risk assessment tuberculosis

Journal

Infection and drug resistance
ISSN: 1178-6973
Titre abrégé: Infect Drug Resist
Pays: New Zealand
ID NLM: 101550216

Informations de publication

Date de publication:
2019
Historique:
received: 19 08 2019
accepted: 24 11 2019
entrez: 13 12 2019
pubmed: 13 12 2019
medline: 13 12 2019
Statut: epublish

Résumé

Broad-scale evidence has shown the significant association between ambient air pollutants and the development of tuberculosis (TB). However, the impact of air quality on the risk of TB in Taiwan is still poorly understood. To develop a probabilistic integrated population-level risk assessment approach for evaluating the contribution of ambient air pollution exposure to the risk of TB development among different regions of Taiwan. A Bayesian-based probabilistic risk assessment model was implemented to link exposure concentrations of various air pollutants quantified in a probabilistic manner with the population-based exposure-response models developed by using an epidemiological investigation. The increment of the risk of TB occurred in a region with a higher level of air pollution, indicating a strong relationship between ambient air pollution exposures and TB incidences. Carbon monoxide (CO) exposure showed the highest population attributable fraction (PAF), followed by nitrogen oxides (NO Our findings provide strong empirical support for the hypothesis and observations from the literature that poor air quality is highly likely to link aetiologically to the risk of TB. Therefore, substantial reductions in CO, NO

Sections du résumé

BACKGROUND BACKGROUND
Broad-scale evidence has shown the significant association between ambient air pollutants and the development of tuberculosis (TB). However, the impact of air quality on the risk of TB in Taiwan is still poorly understood.
OBJECTIVE OBJECTIVE
To develop a probabilistic integrated population-level risk assessment approach for evaluating the contribution of ambient air pollution exposure to the risk of TB development among different regions of Taiwan.
MATERIALS AND METHODS METHODS
A Bayesian-based probabilistic risk assessment model was implemented to link exposure concentrations of various air pollutants quantified in a probabilistic manner with the population-based exposure-response models developed by using an epidemiological investigation.
RESULTS RESULTS
The increment of the risk of TB occurred in a region with a higher level of air pollution, indicating a strong relationship between ambient air pollution exposures and TB incidences. Carbon monoxide (CO) exposure showed the highest population attributable fraction (PAF), followed by nitrogen oxides (NO
CONCLUSION CONCLUSIONS
Our findings provide strong empirical support for the hypothesis and observations from the literature that poor air quality is highly likely to link aetiologically to the risk of TB. Therefore, substantial reductions in CO, NO

Identifiants

pubmed: 31827330
doi: 10.2147/IDR.S227823
pii: 227823
pmc: PMC6902850
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3835-3847

Informations de copyright

© 2019 Lin et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Yi-Jun Lin (YJ)

Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei, Taiwan.

Hsing-Chieh Lin (HC)

Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.

Ying-Fei Yang (YF)

Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.

Chi-Yun Chen (CY)

Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.

Min-Pei Ling (MP)

Department of Food Science, National Taiwan Ocean University, Keelung City, Taiwan.

Szu-Chieh Chen (SC)

Department of Public Health, Chung Shan Medical University, Taichung, Taiwan.
Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan.

Wei-Yu Chen (WY)

Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.
Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Shu-Han You (SH)

Institute of Food Safety and Risk Management, National Taiwan Ocean University, Keelung City, Taiwan.

Tien-Hsuan Lu (TH)

Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.

Chung-Min Liao (CM)

Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.

Classifications MeSH