2020
DOI: 10.1016/j.chemosphere.2020.127399
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Source specific PM2.5 associated with heart rate variability in the elderly with coronary heart disease: A community-based panel study

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Cited by 13 publications
(6 citation statements)
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“…To our knowledge, no previous study examined PM 2.5 constituents’ impacts on MetS. Associations of PM 2.5 constituents [carbon, SO 4 2– , and multiple metals (e.g., Ca, Ni, and Se)] with elevated cardiovascular morbidity have been widely reported, which supported our findings. MetS is considered an established risk of cardiovascular disease.…”
Section: Discussionsupporting
confidence: 89%
“…To our knowledge, no previous study examined PM 2.5 constituents’ impacts on MetS. Associations of PM 2.5 constituents [carbon, SO 4 2– , and multiple metals (e.g., Ca, Ni, and Se)] with elevated cardiovascular morbidity have been widely reported, which supported our findings. MetS is considered an established risk of cardiovascular disease.…”
Section: Discussionsupporting
confidence: 89%
“…Quartz filter membranes were used to collect PM 2.5 samples, followed by ion chromatography providing chemical composition information about the samples after ultrasonic extraction with pure water. For SO 4 2– , NO 3 – , NH 4 + , and Cl – , the detection limits are 0.03, 0.03, 0.02, and 0.01 μg/m 3 , and the relative standard errors are 0.50–1.67%, 0.16–0.96%, 0.27–1.13%, and 0.21–0.72%, respectively. , Here, daily mean SO 4 2– , NO 3 – , NH 4 + , and Cl – concentrations at each station from 2013 to 2020 were used for model training and validation. Besides, daily mean in situ total PM 2.5 concentrations, provided by the China National Environmental Monitoring Centre network, were collected.…”
Section: Methodsmentioning
confidence: 99%
“…For SO 4 2− , NO 3 − , NH 4 + , and Cl − , the detection limits are 0.03, 0.03, 0.02, and 0.01 μg/m 3 , and the relative standard errors are 0.50−1.67%, 0.16−0.96%, 0.27−1.13%, and 0.21− 0.72%, respectively. 42,43 44 together with ground-based measurements of surface PM 2.5 and ample auxiliary variables, using a space-time extra-trees model. 25 The data set is of high quality with an out-of-sample cross-validated coefficient of determination (CV-R 2 ) of 0.92, an average root-mean-square error (RMSE) of 10.76 μg/m 3 , and a mean absolute error (MAE) of 6.32 μg/m 3 , compared to surface observations.…”
Section: Introductionmentioning
confidence: 99%
“…Airborne particles, as important atmospheric pollutants, have a significant influence on morbidity and mortality (Apte et al, 2018;Silva et al, 2021;Ren et al, 2021;Xue et al, 2019). Epidemiological investigations have shown that airborne PM has adverse health effects in Beijing (Chen et al, 2020;Huang et al, 2018a;Sheehan et al, 2016). Exposure to high levels of PM2.5 can lead to premature death (Liu et al, 2016;Zheng et al, 2015b), cardiovascular diseases (Lin et al, 2019;Ma et al, 2019), chronic obstructive pulmonary disease (Guo et al, 2020;Song et al, 2017), respiratory disease (Crabbe, 2012;Han et al, 2020) and lung cancer (Chen et al, 2016;Cohen et al, 2017;Pirozzi et al, 2018).…”
Section: Introductionmentioning
confidence: 99%