Dataset Information

Acute effects of fine particulate matter (PM_2.5) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

ABSTRACT:

Background

Air pollution and cardiovascular disease are increasing problems in China. However, the short-term association between fine particulate matter (PM_2.5) and cardiovascular disease (CVD) is not well documented. The purpose of this study is to estimate the short-term effects of PM_2.5 on CVD admissions in Beijing, China.

Methods

In total, 460,938 electronic hospitalization summary reports for CVD between 2013 and 2017 were obtained. A generalized additive model using a quasi-Poisson distribution was used to investigate the association between exposure to PM_2.5 and hospitalizations for total and cause-specific CVD, including coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF) after controlling for the season, the day of the week, public holidays, and weather conditions. A stratified analysis was also conducted for age (18-64 and???65?years), sex and season.

Results

For every 10??g/m³ increase in the PM_2.5 concentration from the previous day to the current (lag 0-1) there was a significant increase in total CVD admissions (0.30, 95% CI: 0.20, 0.39%), with a strong association for older adults (aged ?65?years), CHD (0.34, 95% CI: 0.22 to 0.45%) and AF (0.29, 95% CI, 0.03 to 0.55%). However, the observed increased risk was not statistically significant for HF hospitalizations. The associations in the single-pollutant models were robust to the inclusion of other pollutants in a two-pollutant model. No differences were found after stratification by sex and season.

Conclusions

Exposure to PM_2.5 increased the risk of hospitalizations from CVD, especially for CHD, and appeared to have more influence in the elderly. Precautions and protective measures and efforts to reduce exposure to PM_2.5 should be strengthened, especially for the elderly.

SUBMITTER: Amsalu E

PROVIDER: S-EPMC6670159 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Publications

Acute effects of fine particulate matter (PM<sub>2.5</sub>) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

Amsalu Endawoke E Wang Tianqi T Li Haibin H Liu Yue Y Wang Anxin A Liu Xiangtong X Tao Lixin L Luo Yanxia Y Zhang Feng F Yang Xinghua X Li Xia X Wang Wei W Guo Xiuhua X

Environmental health : a global access science source 20190801 1

<h4>Background</h4>Air pollution and cardiovascular disease are increasing problems in China. However, the short-term association between fine particulate matter (PM<sub>2.5</sub>) and cardiovascular disease (CVD) is not well documented. The purpose of this study is to estimate the short-term effects of PM<sub>2.5</sub> on CVD admissions in Beijing, China.<h4>Methods</h4>In total, 460,938 electronic hospitalization summary reports for CVD between 2013 and 2017 were obtained. A generalized additi ...[more]

PMID: 31370900

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Project description:Chiang Mai encounters severe pollution during the wildfire season. Wildland firefighters encounter various hazards while engaged in fire suppression operations, which encompass significant exposure to elevated concentrations of air pollutants resulting from combustion, especially particulate matter. The adverse effects of wildfire smoke on respiratory health are a significant concern. The objective of this study was to examine the potential adverse effects of PM2.5 exposure on the respiratory function and DNA damage of wildland firefighters. This prospective cohort study conducted in Chiang Mai from January to May 2022 planned to evaluate the health status of wildland firefighters during the pre-peak, peak, and post-peak ambient air pollution seasons. The measurement of PM2.5 was done at every forest fire station, as well as utilizing data from the Pollution Control Department. Participants received general health examinations, spirometry evaluations, and blood tests for DNA damage analysis. Pair t-tests and multiple regression models were used to examine the connection between pulmonary function parameters (FVC, FEV1) and PM2.5 concentration, with a significance level of P < 0.05. Thirty-three peak-season and twenty-one post-peak-season participants were enrolled. Four pre-peak-season wildland firefighters had FVC and FEV1 declines of > 15%. Multiple regression analysis showed a negative association between PM2.5 exposure and FVC% predicted (- 2.81%, 95% CI - 5.27 to - 0.34%, P = 0.027) and a marginally significant negative correlation with FVC (- 114.38 ml, 95% CI - 230.36 to 1.59 ml, P = 0.053). The remaining pulmonary measures showed a statistically insignificant decline. There were no significant changes in DNA damage detected. Wildland firefighters suffered a significant decline in pulmonary function associated with PM2.5 exposure. Spirometry is crucial for monitoring and promptly identifying respiratory issues that occur during wildfire seasons. Further research is recommended to explore DNA damage alterations and their potential association with PM2.5.

Project description:BackgroundPositive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error.MethodsThis study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season.ResultsA total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0-2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01-1.45%) and 1.95% (95% CI 1.63-2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season.ConclusionsThis study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.

Dataset Information

Acute effects of fine particulate matter (PM_2.5) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

Background

Methods

Results

Conclusions

Publications

Acute effects of fine particulate matter (PM<sub>2.5</sub>) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Acute effects of fine particulate matter (PM2.5) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

Background

Methods

Results

Conclusions

Publications

Acute effects of fine particulate matter (PM<sub>2.5</sub>) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Acute effects of fine particulate matter (PM_2.5) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study.