Literature DB >> 33220537

Ambient PM2.5 and its chemical constituents on lifetime-ever pneumonia in Chinese children: A multi-center study.

Wenming Shi1, Cong Liu1, Isabella Annesi-Maesano2, Dan Norback3, Qihong Deng4, Chen Huang5, Hua Qian6, Xin Zhang7, Yuexia Sun8, Tingting Wang9, Aaron van Donkelaar10, Randall V Martin11, Yinping Zhang12, Baizhan Li13, Haidong Kan14, Zhuohui Zhao15.   

Abstract

The long-term effects of ambient PM2.5 and chemical constituents on childhood pneumonia were still unknown. A cross-sectional study was conducted in 30,315 children in the China Children, Homes, Health (CCHH) project, involving 205 preschools in six cities in China, to investigate the long-term effects of PM2.5 constituents on lifetime-ever diagnosed pneumonia. Information on the lifetime-ever pneumonia and demographics were collected by validated questionnaires. The lifetime annual average ambient PM2.5, ozone and five main PM2.5 constituents, including SO42-, NO3-, NH4+, organic matter (OM) and black carbon (BC), were estimated according to preschool addresses by a combination of satellite remote sensing, chemical transport modeling and ground-based monitors. The prevalence of lifetime-ever diagnosed pneumonia was 34.5% across six cities and differed significantly among cities (p = 0.004). The two-level logistic regression models showed that the adjusted odds ratio for PM2.5 (per 10 µg/m3) and its constituents (per 1 µg/m3)-SO42-, NO3-, NH4+, and OM were 1.12 (95% CI:1.07-1.18), 1.02 (1.00-1.04), 1.06 (1.04-1.09), 1.05 (1.03-1.07) and 1.09 (1.06-1.12), respectively. Children in urban area, aged < 5 years and breastfeeding time < 6 months enhanced the risks of pneumonia. Our study provided robust results that long-term levels of ambient PM2.5 and its constituents increased the risk of childhood pneumonia, especially NH4+, NO3- and OM.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Air pollution; Chemical constituents; Childhood pneumonia; Multi-level logistic regression; PM(2.5)

Year:  2020        PMID: 33220537     DOI: 10.1016/j.envint.2020.106176

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  4 in total

1.  Modelling the Effect of COVID-19 Lockdown on Air Pollution in Makkah Saudi Arabia with a Supervised Machine Learning Approach.

Authors:  Turki M Habeebullah; Said Munir; Jahan Zeb; Essam A Morsy
Journal:  Toxics       Date:  2022-04-29

2.  Empirical dynamic modeling of the association between ambient PM2.5 and under-five mortality across 2851 counties in Mainland China, 1999-2012.

Authors:  Sameh M M Alnwisi; Chengwei Chai; Bipin Kumar Acharya; Aaron M Qian; Shiyu Zhang; Zilong Zhang; Michael G Vaughn; Hong Xian; Qinzhou Wang; Hualiang Lin
Journal:  Ecotoxicol Environ Saf       Date:  2022-04-19       Impact factor: 7.129

3.  Ambient Air Pollution and Respiratory Health in Sub-Saharan African Children: A Cross-Sectional Analysis.

Authors:  Yutong Samuel Cai; Harry Gibson; Rema Ramakrishnan; Mohammad Mamouei; Kazem Rahimi
Journal:  Int J Environ Res Public Health       Date:  2021-09-15       Impact factor: 3.390

4.  Community Health Risk Assessment of Total Suspended Particulates near a Cement Plant in Maros Regency, Indonesia.

Authors:  Annisa Utami Rauf; Anwar Mallongi; Anwar Daud; Muhammad Hatta; Wesam Al-Madhoun; Ridwan Amiruddin; Stang Abdul Rahman; Atjo Wahyu; Ratna Dwi Puji Astuti
Journal:  J Health Pollut       Date:  2021-06-17
  4 in total

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