Ambient Air Pollutants and Hospital Visits for Pneumonia: a Case-crossover Study in Qingdao, China

Overview

Journal BMC Public Health

Publisher Biomed Central

Specialty Public Health

Date 2021 Jan 8

PMID 33413265

Citations 4

Authors

Jianzhong Zhang

Dunqiang Ren

Xue Cao

Tao Wang

Xue Geng

Xin Li

Jinglong Tang

Shuguang Leng

Hongmei Wang

Yuxin Zheng

Affiliations

Soon will be listed here.

Abstract

Background: Pneumonia is one of the principal reasons for incidence and death in the world. The former research mainly concentrated on specific sources of patients. Besides, due to the heterogeneity among regions, there are inconsistencies in the outcome of these surveys. To explore the relationship between atmospheric pollution and hospital visits for pneumonia under the climate and pollution conditions in Qingdao, we carried out this study.

Methods: The medical records of pneumonia patients were gathered from the affiliated hospital of Qingdao University during Jan 1st, 2014, and Dec 31st,2018. Daily concentrations of PM, PM, SO, NO, as well as CO, were collected from the national air quality monitoring stations in Qingdao. Case-crossover study design and conditional logistic regression model were used to estimate the associations. Daily temperature, relative humidity, and atmospheric pressure were adjusted as the covariates in all models. A principal component analysis was used to solve the multicollinearity between atmospheric pollutants and investigate the relationship between various air pollutants and pneumonia occurs.

Results: In the single pollutant model, with interquartile range increment of the density of PM, PM, NO and SO at the lag2 days, the odds ratio of hospital visits for pneumonia patients increased by 6.4% (95%CI, 2.3-10.7%), 7.7% (95%CI, 3.2-12.4%), 6.7% (95%CI, 1.0-12.7%), and 7.2% (95%CI, 1.1-13.5%). Stratified analysis showed that pollutants were more significant in the cold period. Besides, the impact of atmospheric particulates on different ages mainly occurs in the young child (0 to 3-year-old). The odds ratio was 1.042 (95%CI, 1.012-1.072) when the principal components of atmospheric pollutants were included in the conditional logistic model.

Conclusions: Our study found a significant relationship between short-term uncovering to PM, PM, NO, SO, and hospital visits for pneumonia in Qingdao. The effect of atmospheric pollutants mainly arose in a cold period. The particulate matter might be the principal reason in inducing hospital visits for pneumonia.

Citing Articles

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