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Respir Res . The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China

tetano

Editor, Senior Moderator
Respir Res


. 2021 May 20;22(1):153.
doi: 10.1186/s12931-021-01744-6.
The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China


Rui Zhang[SUP] 1 [/SUP], Yujie Meng[SUP] 1 [/SUP], Hejia Song[SUP] 2 [/SUP], Ran Niu[SUP] 3 [/SUP], Yu Wang[SUP] 2 [/SUP], Yonghong Li[SUP] 4 [/SUP], Songwang Wang[SUP] 5 [/SUP]



Affiliations

Abstract

Background: Although exposure to air pollution has been linked to many health issues, few studies have quantified the modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China.
Methods: The data of daily incidence of influenza and the relevant meteorological data and air pollution data in Ningbo from 2014 to 2017 were retrieved. Low, medium and high temperature layers were stratified by the daily mean temperature with 25th and 75th percentiles. The potential modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo was investigated through analyzing the effects of air pollutants stratified by temperature stratum using distributed lag non-linear model (DLNM). Stratified analysis by sex and age were also conducted.
Results: Overall, a 10 ?g/m[SUP]3[/SUP] increment of O[SUB]3[/SUB], PM[SUB]2.5[/SUB], PM[SUB]10[/SUB] and NO[SUB]2[/SUB] could increase the incidence risk of influenza with the cumulative relative risk of 1.028 (95% CI 1.007, 1.050), 1.061 (95% CI 1.004, 1.122), 1.043 (95% CI 1.003, 1.085), and 1.118 (95% CI 1.028, 1.216), respectively. Male and aged 7-17 years were more sensitive to air pollutants. Through the temperature stratification analysis, we found that temperature could modify the impacts of air pollution on daily incidence of influenza with high temperature exacerbating the impact of air pollutants. At high temperature layer, male and the groups aged 0-6 years and 18-64 years were more sensitive to air pollution.
Conclusion: Temperature modified the relationship between air pollution and daily incidence of influenza and high temperature would exacerbate the effects of air pollutants in Ningbo.

Keywords: Air pollutants; Distributed lag non-linear model (DLNM); Influenza; Ningbo; Temperature.
 
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