Long-term effect of intermediate particulate matter (PM


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Feb 2023
Historique:
received: 19 06 2022
revised: 25 10 2022
accepted: 11 11 2022
pubmed: 21 11 2022
medline: 15 12 2022
entrez: 20 11 2022
Statut: ppublish

Résumé

There is insufficient evidence about the long-term effects of intermediate particulate matter (PM A cohort study based on the China Health and Retirement Longitudinal Study (CHARLS) database was conducted to investigate the long-term effects of PM After a 7-year follow-up, 103 (1.61 %) of the 6400 participants developed asthma. Each 10 μg/m Long-term exposure to PM

Sections du résumé

BACKGROUND BACKGROUND
There is insufficient evidence about the long-term effects of intermediate particulate matter (PM
METHODS METHODS
A cohort study based on the China Health and Retirement Longitudinal Study (CHARLS) database was conducted to investigate the long-term effects of PM
RESULTS RESULTS
After a 7-year follow-up, 103 (1.61 %) of the 6400 participants developed asthma. Each 10 μg/m
CONCLUSION CONCLUSIONS
Long-term exposure to PM

Identifiants

pubmed: 36403826
pii: S0048-9697(22)07304-1
doi: 10.1016/j.scitotenv.2022.160204
pii:
doi:

Substances chimiques

Particulate Matter 0
Air Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

160204

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Shuting Li (S)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China. Electronic address: lishuting@mail.ccmu.edu.cn.

Jing Wei (J)

Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, USA.

Yaoyu Hu (Y)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.

Yuhong Liu (Y)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.

Meiling Hu (M)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China. Electronic address: 1818025@ccmu.edu.cn.

Yadi Shi (Y)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.

Yongxi Xue (Y)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China. Electronic address: xueyongxi@mail.ccmu.edu.cn.

Mengmeng Liu (M)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China. Electronic address: liumengmeng@ccmu.edu.cn.

Wenhan Xie (W)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.

Xiuhua Guo (X)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, China; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Australia. Electronic address: statguo@ccmu.edu.cn.

Xiangtong Liu (X)

School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China. Electronic address: xiangtongl@ccmu.edu.cn.

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Classifications MeSH