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Associations of long-term exposure to ambient air pollution with cardiac conduction abnormalities in Chinese adults: The CHCN-BTH cohort study
Highlights Long-term air pollutant exposures may contribute to cardiac conduction abnormalities. PM2.5 may be the most stable pollutant reflecting the associations. People with specific characteristics are more susceptible to the adverse effects.
Abstract Background Evidence regarding the effects of long-term and high-level ambient air pollution exposure on cardiac conduction systems remains sparse. Objectives To investigate the associations of long-term exposure to air pollution and cardiac conduction abnormalities in Chinese adults and explore the susceptibility characteristics. Methods In 2017, a total of 27,047 participants aged 18–80 years were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH). The three year (2014–2016) average pollutant concentrations were assessed by a spatial statistical model for PM2.5 and air monitoring stations for PM10, SO2, NO2, O3 and CO. Residential proximity to a roadway was calculated by neighborhood analysis. Associations were estimated by two-level generalized linear mixed models. Stratified analyses related to demographic characteristics, health behaviors, and cardiometabolic risk factors were performed. Two-pollutant models were used to evaluate the possible role of single pollutants. Results We detected significant associations of long-term air pollutant exposure with increased heart rate (HR), QRS and QTc, such that an interquartile range increase in PM2.5 was associated with 3.63% (95% CI: 3.07%, 4.19%), 1.21% (95% CI: 0.83%, 1.60%), and 0.13% (95% CI: 0.07%, 0.18%) changes in HR, QRS and QTc, respectively. Compared to the other pollutants, the estimates of PM2.5 remained the most stable across all two-pollutant models. Similarly, significant associations were observed between living closer to a major roadway and higher HR, QRS and QTc. Stratified analyses showed generally greater association estimates in older people, males, smokers, alcohol drinkers, and those with obesity, hypertension and diabetes. Conclusions Long-term exposure to ambient air pollution was associated with cardiac conduction abnormalities in Chinese adults, especially in older people, males, smokers, alcohol drinkers, and those with cardiometabolic risk factors. PM2.5 may be the most stable pollutant to reflect the associations.
Associations of long-term exposure to ambient air pollution with cardiac conduction abnormalities in Chinese adults: The CHCN-BTH cohort study
Highlights Long-term air pollutant exposures may contribute to cardiac conduction abnormalities. PM2.5 may be the most stable pollutant reflecting the associations. People with specific characteristics are more susceptible to the adverse effects.
Abstract Background Evidence regarding the effects of long-term and high-level ambient air pollution exposure on cardiac conduction systems remains sparse. Objectives To investigate the associations of long-term exposure to air pollution and cardiac conduction abnormalities in Chinese adults and explore the susceptibility characteristics. Methods In 2017, a total of 27,047 participants aged 18–80 years were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH). The three year (2014–2016) average pollutant concentrations were assessed by a spatial statistical model for PM2.5 and air monitoring stations for PM10, SO2, NO2, O3 and CO. Residential proximity to a roadway was calculated by neighborhood analysis. Associations were estimated by two-level generalized linear mixed models. Stratified analyses related to demographic characteristics, health behaviors, and cardiometabolic risk factors were performed. Two-pollutant models were used to evaluate the possible role of single pollutants. Results We detected significant associations of long-term air pollutant exposure with increased heart rate (HR), QRS and QTc, such that an interquartile range increase in PM2.5 was associated with 3.63% (95% CI: 3.07%, 4.19%), 1.21% (95% CI: 0.83%, 1.60%), and 0.13% (95% CI: 0.07%, 0.18%) changes in HR, QRS and QTc, respectively. Compared to the other pollutants, the estimates of PM2.5 remained the most stable across all two-pollutant models. Similarly, significant associations were observed between living closer to a major roadway and higher HR, QRS and QTc. Stratified analyses showed generally greater association estimates in older people, males, smokers, alcohol drinkers, and those with obesity, hypertension and diabetes. Conclusions Long-term exposure to ambient air pollution was associated with cardiac conduction abnormalities in Chinese adults, especially in older people, males, smokers, alcohol drinkers, and those with cardiometabolic risk factors. PM2.5 may be the most stable pollutant to reflect the associations.
Associations of long-term exposure to ambient air pollution with cardiac conduction abnormalities in Chinese adults: The CHCN-BTH cohort study
Cao, Han (author) / Li, Bingxiao (author) / Peng, Wenjuan (author) / Pan, Li (author) / Cui, Ze (author) / Zhao, Wei (author) / Zhang, Han (author) / Tang, Naijun (author) / Niu, Kaijun (author) / Sun, Jixin (author)
2020-07-13
Article (Journal)
Electronic Resource
English
Ambient air pollution , Long-term exposure , Cardiac conduction system , BMI , body mass index , CHCN-BTH , the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei , CI , confidence interval , CO , carbon monoxide , CVD , cardiovascular disease , HR , heart rate , ECG , electrocardiogram , GLMMs , generalized linear mixed models , IQR , interquartile range , NO<inf>2</inf> , nitrogen dioxide , O<inf>3</inf> , ozone , PM , particulate matter , PM<inf>10</inf> , PM with an aerodynamic diameter ≤10 μm , PM<inf>2.5</inf> , PM with an aerodynamic diameter ≤2.5 μm , QTc , heart rate-corrected QT , SO<inf>2</inf> , sulfur dioxide , WHO , World Health Organization