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The lagged effect of air pollution on human eosinophils: a distributed lag non-linear model.

Abstract：

OBJECTIVES:The aim of this study was to determine the lag between exposure to air pollutants and changes in human eosinophil counts. MATERIAL AND METHODS:This was a retrospective study employing 246 425 physical examination records dated December 2013 - December 2016 from Chengdu, China. The authors determined the prevalence of individuals with eosinophil counts above the normal reference range each day. A distributed lag non-linear model was used to evaluate the lagged effect of each air pollutant on eosinophil counts. The lagged effects of each air pollutant were counted and presented with smoothing splines. RESULTS:The effects of air pollutants such as particulate matter (PM2.5, aerodynamic diameters <2.5 μm; PM10, aerodynamic diameters <10 μm), nitrogen dioxide (NO2) and ozone (O3) were evaluated. In women, the effects of PM2.5 (RR = 1.154, 95% CI: 1.061-1.255) and PM10 (RR = 1.309, 95% CI: 1.130-1.517) reached the maximum values on lag day 0. In men, there was no significant effect of PM2.5, but significant effects of PM10 were found for lag days 20-28. The effects of NO2 and O3 on eosinophils were not statistically significant for either gender. CONCLUSIONS:The air pollutants of PM10 have a significant effect on human eosinophils for both women and men, but with different temporal patterns, with women showing a lag of 0-5 days and men showing a lag of 20-28 days. In addition, PM2.5 was significant for women with a lag of 0-3 days but it was not significant for men. Int J Occup Med Environ Health. 2020;33(3):299-310.

journal_name

Int J Occup Med Environ Health

journal_title

International journal of occupational medicine and environmental health

authors

Ding Z,Xie Z,Su Y,Qi J,Cui B

doi

10.13075/ijomeh.1896.01528

subject

Has Abstract

pub_date

2020-04-30 00:00:00

pages

299-310

issue

3

eissn

1232-1087

issn

1896-494X

pii

117043

journal_volume

33

pub_type

杂志文章

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