Short-Term Effects of Low-Level Ambient Air NO 2 on the Risk of Incident Stroke in Enshi City, China

Zesheng Chen, Bin Wang, Yanlin Hu, Lan Dai, Yangming Liu, Jing Wang, Xueqin Cao, Yiming Wu, Ting Zhou, Xiuqing Cui and Tingming Shi
Additional contact information
Zesheng Chen: School of Public Health, Wuhan University, 115 Donghu Road, Wuhan 430071, China
Bin Wang: Enshi Center for Disease Control and Prevention, 5 Hongqi Avenue, Daqiao Road, Enshi 445000, China
Yanlin Hu: Enshi Center for Disease Control and Prevention, 5 Hongqi Avenue, Daqiao Road, Enshi 445000, China
Lan Dai: Enshi Center for Disease Control and Prevention, 5 Hongqi Avenue, Daqiao Road, Enshi 445000, China
Yangming Liu: Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan 430079, China
Jing Wang: Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan 430079, China
Xueqin Cao: School of Public Health, Wuhan University, 115 Donghu Road, Wuhan 430071, China
Yiming Wu: School of Public Health, Wuhan University, 115 Donghu Road, Wuhan 430071, China
Ting Zhou: Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
Xiuqing Cui: Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan 430079, China
Tingming Shi: Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan 430079, China

IJERPH, 2022, vol. 19, issue 11, 1-13

Abstract: Previous studies found that exposure to ambient nitrogen dioxide (NO 2 ) was associated with an increased risk of incident stroke, but few studies have been conducted for relatively low NO 2 pollution areas. In this study, the short-term effects of NO 2 on the risk of incident stroke in a relatively low-pollution area, Enshi city of Hubei Province, China, were investigated through time-series analysis. Daily air-pollution data, meteorological data, and stroke incidence data of residents in Enshi city from 1 January 2015 to 31 December 2018 were collected. A time-series analysis using a generalised additive model (GAM) based on Poisson distribution was applied to explore the short-term effects of low-level NO 2 exposure on the risk of incident stroke and stroke subtypes, as well as possible age, sex, and seasonal differences behind the effects. In the GAM model, potential confounding factors, such as public holidays, day of the week, long-term trends, and meteorological factors (temperature and relative humidity), were controlled. A total of 9122 stroke incident cases were included during the study period. We found that NO 2 had statistically significant effects on the incidence of stroke and ischemic stroke, estimated by excess risk (ER) of 0.37% (95% CI: 0.04–0.70%) and 0.58% (95% CI: 0.18–0.98%), respectively. For the cumulative lag effects, the NO 2 still had a statistically significant effect on incident ischemic stroke, estimated by ER of 0.61% (95% CI: 0.01–1.21%). The two-pollutant model showed that the effects of NO 2 on incident total stroke were still statistically significant after adjusting for other air pollutants (PM 2.5 , PM 10 , SO 2 , CO, and O 3 ). In addition, the effects of NO 2 exposure on incident stroke were statistically significant in elderly (ER = 0.75%; 95% CI: 0.11–1.40%), males (ER = 0.47%; 95% CI: 0.05–0.89%) and cold season (ER = 0.83%; 95% CI: 0.15–1.51%) subgroups. Our study showed that, as commonly observed in high-pollution areas, short-term exposure to low-level NO 2 was associated with an increased risk of incident stroke, including ischemic stroke. Males and elderly people were more vulnerable to the effects of NO 2 , and the adverse effects might be promoted in the cold season.

Keywords: nitrogen dioxide; stroke; risk of incidence; generalised additive model; time-series analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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