PM2.5-associated risk for cardiovascular hospital admission and related economic burdens in Beijing, China

Ban, Jie; Ma, Runmei; Zhang, Yi; Li, Tiantian

doi:10.1016/j.scitotenv.2021.149445

Cited by 18 publications

(15 citation statements)

References 31 publications

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“…In terms of these three specific CHD, CCHD associates with prior myocardial infarction, prior coronary revascularization or multi-vessel CHD without revascularization [ 76 ]. Previous studies have discerned the adverse effect of PM 2.5 concentrations on CCHD [ 15 , 27 , 77 , 78 ]. Xie et al [ 78 ] reported that the significantly stronger effects of PM 2.5 for CCHD compared with AMI at lag 3 days, which is accordant with this study.…”

Section: Discussionmentioning

confidence: 99%

“…Xie et al [ 78 ] reported that the significantly stronger effects of PM 2.5 for CCHD compared with AMI at lag 3 days, which is accordant with this study. Ban et al [ 15 ] found that significant effects of PM 2.5 on HAs for CCHD, with an increase of 10 μg/m 3 associated with 0.53% (95%CI: 0.39, 0.66%) on lag 0-1. The results indicated that the associated between PM pollution and CCHD could be acute and cumulative.…”

Section: Discussionmentioning

confidence: 99%

“…Contrary to existing data, there was no adverse relationship found between PM pollution and HAs for UA. The study in Beijing estimated that significant association between PM 2.5 and HAs for UA, involving an estimated risk increase of 0.66% (95%CI: 0.58, 0.73%) with each increment of 10 μg/m 3 PM 2.5 [ 15 ]. A study conducted in Taiyuan found that a μg/m 3 increase in PM 10 and PM2.5 would associate with 1.00% (95CI: 0.60-1.30%) and 1.50% (95%CI: 0.90-2.00%), respectively [ 84 ].…”

Section: Discussionmentioning

confidence: 99%

“…A study conducted in Chengdu estimated that a 10 μg/m 3 increase in PM 2.5 was involved with a 1.2% (95% CI: 0.3, 2.2%) increase in hospital admissions (HAs) for CHD [ 9 ]. Primarily, the relationships of HAs for CHD were involved [ 13 , 14 ], only limited studies associated with specific CHD, like chronic coronary heart disease (CCHD) [ 15 ], acute myocardial infarction (AMI) [ 16 , 17 ], and unstable angina (UA) [ 15 ], which could also link with large quantity of HAs regarding the exposure to PM pollution.…”

Section: Introductionmentioning

confidence: 99%

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The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China

et al. 2022

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Background Coronary heart disease (CHD), the leading cause of death globally, might be developed or exacerbated by air pollution, resulting high burden to patients. To date, limited studies have estimated the relations between short-term exposure to air pollution and CHD disease burden in China, with inconsistent results. Hence, we aimed to estimate the short-term impact and burden of ambient PM pollutants on hospitalizations of CHD and specific CHD. Methods PM10 and PM2.5 were measured at 82 monitoring stations in 9 cities in Sichuan Province, China during 2017-2018. Based on the time-stratified case-crossover design, the effects of short-term exposure to particle matter (PM) pollution on coronary heart disease (CHD) hospital admissions were estimated. Meanwhile, the linked burden of CHD owing to ambient PM pollution were estimated. Results A total of 104,779 CHD records were derived from 153 hospitals from these 9 cities. There were significant effects of PM pollution on hospital admissions (HAs) for CHD and specific CHD in Sichuan Province. A 10 μg/m3 increase of PM10 and PM2.5 was linked with a 0.46% (95% CI: 0.08, 0.84%), and 0.57% (95% CI: 0.05, 1.09%) increments in HAs for CHD at lag7, respectively. The health effects of air pollutants were comparable modified by age, season and gender, showing old (≥ 65 years) and in cold season being more vulnerable to the effects of ambient air pollution, while gender-specific effects is positive but not conclusive. Involving the WHO’s air quality guidelines as the reference, 1784 and 2847 total cases of HAs for CHD could be attributable to PM10 and PM2.5, separately. The total medical cost that could be attributable to exceeding PM10 and PM2.5 were 42.04 and 67.25 million CNY from 2017 to 2018, respectively. Conclusions This study suggested that the short-term exposure to air pollutants were associated with increased HAs for CHD in Sichuan Province, which could be implications for local environment improvement and policy reference.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China

et al. 2022

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“…From the micro point of view, results from two Chinese studies suggested that exposure to PM 2.5 also increased households' medical expenditures [10,11]. Other studies found that exposure to PM 2.5 was positively associated with high medical expenditures for some speci c health problems such as respiratory ailments [12][13][14], cardiovascular diseases [15] even psychotic and mood disorders [16]. Although the current studies relied on real-world data and showed a considerable source of increment in medical expenditure is PM 2.5 , knowledge about this association on the elderly are very scant.…”

Section: Introductionmentioning

confidence: 99%

Air pollution, residential greenness and medical expenditure in older adults

Zhou

Wang

et al. 2022

Preprint

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Background: Environmental factors have been thought of as potential determinants for human health and would plausibly affect health expenditures. However, little is known about the association between air pollution, greenness, and their combined effect on medical expenditures, let alone, related evidence in older adults is rarely. Method: We used data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Medical expenditures were defined as out-of-pocket medical expenditures in the 12 months preceding the survey. A two-year average of PM2.5 concentrations prior to medical expenditures was collected as PM2.5 exposures. Greenness exposure was contemporaneous with PM2.5 and evaluated by residential units’ NDVI value in 250 m buffer. The two-part models were performed to assess the independent influences of PM2.5, greenness, and its combined influence. The first model was a logistic regression model based on the whole sample, called the participation models. Then a log-transformed linear regression model was fitted using samples with nonzero medical expenditures, named intensity models. Result: We found that each 10-µg/m3 increment in PM2.5 increased the odds of incurring any costs (coefficient=0.80, P <0.001) according to the participation models. PM2.5 was associated with an increase in expenditure based on intensity models (coefficient=0.08, P <0.001). Each 0.1-unit increase in greenness decreased the odds of incurring any costs in the participation models (coefficient=-0.77, P <0.05). The risk of increasing medical expenditures attributed to PM2.5was higher in areas with a low level of greenness (coefficient=0.16, P <0.001). While greenness did not present a protective effect for increasing costs in the low level of PM2.5 (coefficient=0.21, P <0.05), increasing greenness could reduce costs in the high and medium level of PM2.5. Uneducated participants and others without pensions were vulnerable to the combined effect. Conclusion: Air pollution is a potential source of medical expenditures; in comparison, expanding greenspace is associated with these societal costs saved. Suppose the combined impact of greenness and PM2.5 was to be replicated in a future study, which would improve the utility of current evidence.

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Association between air pollution and emergency room visits for eye diseases and effect modification by temperature in Beijing, China

Wang

Zhang

et al. 2021

Environ Sci Pollut Res

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The growing burden of eye disease worldwide has aroused increasing concern upon its environmental etiology. This study aims to evaluate the associations of air pollutants with emergency room visits for eye diseases and the effect modification by temperature. Based on 24,389 cases from a general hospital during 2014-2019 in Beijing, China, this study used generalized additive models to examine the associations of air pollutants and emergency room visits for total eye diseases (ICD10: H00-H59) and conjunctivitis (ICD10: H10). Short-term exposures to PM 2.5 , PM 10 , CO, and NO 2 were associated with increased visits for total eye diseases and conjunctivitis, and stronger effect estimates were observed in high (>75th) temperature group for PM 2.5 , PM 10 , CO, and NO 2 and low (<75th) temperature group for CO and NO 2 . For instance, a 10 μg/m 3 increase in PM 2.5 at lag0-1 were associated with a 0.73% (95% CI: 0.23%, 1.24%) increase in total eye disease visits and a 1.34% (95% CI: 0.55%, 2.13%) increase in conjunctivitis visits, respectively. Meanwhile, a 10 μg/m 3 increase in PM 2.5 was associated with a 1.57% (95% CI: 0.49%, 2.64%) change in high temperature group and a 0.48% (95% CI: −0.24%, 1.19%) change in medium temperature group (P for interaction = 0.04) in total eye disease visits. Our study emphasizes the importance of controlling the potential hazards of air pollutants on eyes, especially on days with relatively higher or colder temperature.

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PM2.5-associated risk for cardiovascular hospital admission and related economic burdens in Beijing, China

Cited by 18 publications

References 31 publications

The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China

The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China

Air pollution, residential greenness and medical expenditure in older adults

Association between air pollution and emergency room visits for eye diseases and effect modification by temperature in Beijing, China

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