The association between high particulate matter pollution and daily cause-specific hospital admissions: a time-series study in Yichang, China

Yao, Chengye; Wang, Yu; Williams, Christopher; Xu, Cheng‐Zhong; Kartsonaki, Christiana; Lin, Yun; Zhang, Pei; Yin, Peng; Lam, Hubert

doi:10.1007/s11356-019-06734-2

Cited by 22 publications

(16 citation statements)

References 40 publications

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“…In line with previous studies [ 25 , 26 ], we found that PM 2.5 had a greater impact on respiratory diseases than PM 10 at all lag structures. Compared to PM 10 , PM 2.5 adsorbs toxic substances and heavy metals more readily due to its larger relative surface area, it remains suspended in the atmosphere for longer periods, and it enters the terminal alveoli and even the bloodstream more easily [ 25 ].…”

Section: Discussionsupporting

confidence: 93%

Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai

Peng

et al. 2022

Environ Health

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Background Previous epidemiological studies on the association between short-term exposure to particulate matter (PM) with hospital admission in major cities in China were limited to shorter study periods or a single hospital. The aim of this ecological study based on a 12.5-year time series was to investigate the association of short-term exposure to PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and aerodynamic diameter ≤ 10 μm (PM10) with hospital admissions for respiratory diseases. Methods Daily hospital admissions data were from the Shanghai Medical Insurance System for the period January 1, 2008 to July 31, 2020. We estimated the percentage change with its 95% confidence interval (CI) for each 10 μg/m3 increase in the level of PM2.5 and PM10 after adjustment for calendar time, day of the week, public holidays, and meteorological factors applying a generalized additive model with a quasi-Poisson distribution. Results There were 1,960,361 hospital admissions for respiratory diseases in Shanghai during the study period. A 10 μg/m3 increase in the level of each class of PM was associated with increased total respiratory diseases when the lag time was 0 day (PM2.5: 0.755%; 95% CI: 0.422, 1.089%; PM10: 0.250%; 95% CI: 0.042, 0.459%). The PM2.5 and PM10 levels also had positive associations with admissions for COPD, asthma, and pneumonia. Stratified analyses demonstrated stronger effects in patients more than 45 years old and during the cold season. Total respiratory diseases increased linearly with PM concentration from 0 to 100 μg/m3, and increased more slowly at higher PM concentrations. Conclusions This time-series study suggests that short-term exposure to PM increased the risk for hospital admission for respiratory diseases, even at low concentrations. These findings suggest that reducing atmospheric PM concentrations may reduce hospital admissions for respiratory diseases.

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Section: Discussionsupporting

confidence: 93%

Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai

Peng

et al. 2022

Environ Health

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“…Aside from conventional risk factors such a high blood pressure, high cholesterol, diabetes, obesity, tobacco use, alcohol consumption, physical inactivity and unhealthy diets, air pollution may be crucial factors causing the occurrence and development of CVD [3]. In recent years, a large body of epidemiological and clinical research have indicated that exposure to air pollution, especially fine particulate matter [particles with a aerodynamic diameter of ≤ 2.5 μm (PM 2.5 )], is associated with an increase in CVD morbidity [4][5][6][7][8][9][10][11][12]. For example, the findings of a study conducted by Kloog et al showed a 10 μg/ m 3 increase of PM 2.5 was associated with an increase in daily cardiovascular disease morbidity of 3.12% (95% CI 0.30-4.29%) [4].…”

Section: Introductionmentioning

confidence: 99%

“…A multicity study in China suggests that short-term exposure to PM 2.5 is associated with increased CVD hospitalization [10]. In addition, hospitalizations of CVD was significantly associated with short-term exposure to high particulate matter pollution in Yichang [11]. However, particulate matter pollution are not the only environmental risk factors associated with CVD morbidity [13].…”

Section: Introductionmentioning

confidence: 99%

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

Yang

Chu

et al. 2022

Environ Sci Eur

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Background Up until now, evidence pertaining to the short-term effects of fine particulate matter (PM2.5) in cardiovascular diseases (CVD) is scarce in China. In this study, we aim to estimate the association between short-term exposure to PM2.5 and hospitalizations for total and cause-specific CVD in Lanzhou of China. Methods Daily counts of cardiovascular admissions were obtained from three large general hospitals in Lanzhou, China between 2014 and 2019. Air quality and meteorological data were obtained from the monitoring stations nearest to the admitting hospitals. We utilized Quasi-Poisson time-series regressions with distributed lag nonlinear models (DLNM) to assess the association between PM2.5 and CVD admitted in the three general hospitals. A stratified analysis was also conducted for age, sex, and disease subcategories. Results PM2.5 was positively correlated with daily admissions for total or other cause-specific CVD under different lag patterns. For every 10 μg/m3 increase in the PM2.5 concentration, the relative risk of daily admissions for total CVD, ischemic heart disease (IHD), heart rhythm disturbances (HRD), heart failure (HF), and cerebrovascular disease (CD) was: 1.011 [95% confidence interval (CI), 1.001–1.020] in lag01; 1.020 (95% CI 1.004–1.036) in lag07; 1.013 (95% CI 1.001–1.026) in lag7; 1.018 (95% CI 1.005–1.038) in lag1; and 1.007 (95% CI 1.001–1.018) in lag1. Both low and high temperatures increased the risk of cardiovascular hospitalization. No differences were found after stratification by gender and age. We found an almost linear relationship between the exposure to PM2.5 and cause-specific CVD admissions with no threshold effect. Males as well as the elderly, aged ≥ 65 years, were more vulnerable to PM 2.5 exposure. Conclusions Our results have demonstrated that PM2.5 has adverse impacts on cardiovascular hospitalizations in Lanzhou, especially on IHD.

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“…In contrast, some previous studies showed that PM usually showed acute effects on RESD. Yao et al [21] reported that the peak adverse effect on RESD occurred on lag01 for both PM 2.5 and PM 10 ; Qiu et al [27] found a significant association between asthma hospitalization and PM C ; Jiang et al [32] showed PM C generated the maximum impact on respiratory outpatients at lag05. The heterogeneous findings among these studies may be attributed to the following reasons.…”

Section: Discussionmentioning

confidence: 99%

Lag effects of size-fractionated particulate matter pollution on outpatient visits for respiratory diseases in Lanzhou, China

Zhai¹,

Chai²

2021

Ann Agric Environ Med.

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Introduction.A large body of evidence suggests that an increase in atmospheric particulate matter (PM) concentrations will lead to an increase in morbidity due to adverse health conditions, such as respiratory diseases (RESD). Lanzhou is located in northwest China, central Gansu Province. Due to limited research and data, the impact of PM on human health have not been systematically acknowledged. Objective. The aim of the study is to investigate the association between size-fractionated PM pollution and outpatients visits for RESD. Materials and method. Data on outpatient visits for RESD, air pollutants and meteorological indices in Lanzhou were collected from 1 February 2014 -31 December 2017, and the associations of three types of PM (PM 2.5 , PM C , and PM 10 ) with outpatient visits for RESD were evaluated using generalized additive models (GAMs). Results. Findings showed that PM 2.5 and PM C had the most significant impact on outpatient visits for RESD at seven cumulative lag days. PM 10 was not significantly associated with outpatient visits for RESD. In subgroup analysis, the impact of atmospheric PM on outpatient visits for RESD was significantly modified by gender and age; men, and children aged 0-5 years old, were more sensitive to PM 2.5 pollution. Conclusions. Increased atmospheric PM concentration is associated with an increase in outpatient visits for RESD, and it has a lag effect. The increase in outpatient visits for RESD appears to be driven by increased PM 2.5 concentrations. The results obtained may provide reference values for formulating preventive strategies to protect the population from the adverse impact of PM pollution.

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The association between high particulate matter pollution and daily cause-specific hospital admissions: a time-series study in Yichang, China

Cited by 22 publications

References 40 publications

Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai

Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai

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

Lag effects of size-fractionated particulate matter pollution on outpatient visits for respiratory diseases in Lanzhou, China

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