The Burden of COPD Morbidity Attributable to the Interaction between Ambient Air Pollution and Temperature in Chengdu, China
Hang Qiu,
Kun Tan,
Feiyu Long,
Liya Wang,
Haiyan Yu,
Ren Deng,
Hu Long,
Yanlong Zhang and
Jingping Pan
Additional contact information
Hang Qiu: Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
Kun Tan: Health and Family Planning Information Center of Sichuan Province, Chengdu 610041, China
Feiyu Long: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Liya Wang: Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
Haiyan Yu: Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
Ren Deng: Health and Family Planning Information Center of Sichuan Province, Chengdu 610041, China
Hu Long: Health and Family Planning Information Center of Sichuan Province, Chengdu 610041, China
Yanlong Zhang: Chengdu Shulianyikang Technology Co., Ltd., Chengdu 610041, China
Jingping Pan: Health and Family Planning Information Center of Sichuan Province, Chengdu 610041, China
IJERPH, 2018, vol. 15, issue 3, 1-15
Abstract:
Evidence on the burden of chronic obstructive pulmonary disease (COPD) morbidity attributable to the interaction between ambient air pollution and temperature has been limited. This study aimed to examine the modification effect of temperature on the association of ambient air pollutants (including particulate matter (PM) with aerodynamic diameter <10 μm (PM 10 ) and <2.5 μm (PM 2.5 ), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), carbon monoxide (CO) and ozone (O 3 )) with risk of hospital admissions (HAs) for COPD, as well as the associated morbidity burden in urban areas of Chengdu, China, from 2015 to 2016. Based on the generalized additive model (GAM) with quasi-Poisson link, bivariate response surface model and stratification parametric model were developed to investigate the potential interactions between ambient air pollution and temperature on COPD HAs. We found consistent interactions between ambient air pollutants (PM 2.5 , PM 10 and SO 2 ) and low temperature on COPD HAs, demonstrated by the stronger associations between ambient air pollutants and COPD HAs at low temperatures than at moderate temperatures. Subgroup analyses showed that the elderly (≥80 years) and males were more vulnerable to this interaction. The joint effect of PM and low temperature had the greatest impact on COPD morbidity burden. Using WHO air quality guidelines as reference concentration, about 17.30% (95% CI: 12.39%, 22.19%) and 14.72% (95% CI: 10.38%, 19.06%) of COPD HAs were attributable to PM 2.5 and PM 10 exposures on low temperature days, respectively. Our findings suggested that low temperature significantly enhanced the effects of PM and SO 2 on COPD HAs in urban Chengdu, resulting in increased morbidity burden. This evidence has important implications for developing interventions to reduce the risk effect of COPD morbidity.
Keywords: air pollution; temperature; COPD; interaction; hospital admissions (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:15:y:2018:i:3:p:492-:d:135748
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