Short-Term Effects of Air Pollution on Hospital Admissions of Respiratory Diseases in Europe: A Quantitative Summary of APHEA Study Results

Background/Aim. In studies that investigate the health effects of short-term air pollution exposure, population-wide changes in acute outcomes such as mortality, hospital admissions and healthcare visits are linked to short-term variations in ambient pollutant concentrations. The aim of this study was to estimate the association between daily outdoor black smoke and sulphur dioxide levels and hospital admissions for cardiovascular and respiratory diseases in Nis, within a period 2001-2005. Methods. A time series analysis was performed using separated regression models for each pollutant and disease group, by age groups and population as a whole. The effects of copollutant, meteorological factors and cyclic oscillations in hospitalization numbers were controlled. Results. A significant increase in hospital admissions was associated with a 10 ?g/m3 increase in the concentration of black smoke, for cardiovascular diseases: 3.14% (< 0.01) in children and youth under 19 years of age, 1.85% (< 0.001) in 19-64 age group, and 0.84% (< 0.05) in all ages, and for respiratory diseases: 1.77% (< 0.05) in 19-64 age group, and 0.91% (< 0.05) in all ages. The effects on hospitalizations for respiratory diseases in children and youth under 19 years of age, and for cardiovascular and respiratory diseases in the elderly were not statistically significant. The increase of sulphur dioxide level was associated with the increased number of hospitalizations, for both cardiovascular and respiratory diseases in all age groups, but the influence was not statistically significant. Conclusion. Outdoor pollutants concentrations in urban area of Nis were below regulated limit values during most of the investigated period days but it is shown that even such a level of pollution has a significant effect on hospital admissions for cardiovascular and respiratory diseases.

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Short term effects of air pollution on hospital admission for respiratory diseases among the pediatric and elderly populations, a time-series study

ISEE Conference Abstracts ◽

10.1289/isee.2020.virtual.p-1000 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

H. Lim ◽

D. Lee ◽

J. Oh ◽

H. Bae ◽

Y. Lim ◽

...

Keyword(s):

Air Pollution ◽

Time Series ◽

Hospital Admission ◽

Respiratory Diseases ◽

Short Term ◽

Time Series Study ◽

Elderly Populations ◽

Series Study ◽

Short Term Effects

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Effect of Ambient Fine Particulate (PM2.5) on Hospital Admissions for Respiratory and Cardiovascular Diseases in Wuhan, China

10.21203/rs.3.rs-117251/v1 ◽

2020 ◽

Author(s):

Zhan Ren ◽

Xingyuan Liu ◽

Tianyu Liu ◽

Dieyi Chen ◽

Kuizhuang Jiao ◽

...

Keyword(s):

Air Pollution ◽

Cardiovascular Diseases ◽

Hospital Admission ◽

Respiratory Diseases ◽

Hospital Admissions ◽

Conditional Logistic Regression ◽

Central China ◽

Air Pollution Control ◽

Short Term ◽

Increased Risk

Abstract Background: The positive 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 megalopolis. In addition, due to the lack of accurate methods of assessing individual PM2.5 exposure, further studies are still necessary to be launched in China.Methods: The study was conducted in Wuhan, a megacity in central China with about 10.8929 million population. Daily hospital admission records, from October 2016 to December 2018, were obtained from Wuhan Information center of Health and Family Planning, which administrates all the hospitals in Wuhan. The daily air pollution concentration and weather variable in Wuhan during the study period were collected. We developed 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 exposures to PM2.5. We also conducted stratification analyses by age, sex and season.Results: A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 for total cardiovascular diseases and 159,365 for total respiratory diseases. We found short-term PM2.5 exposure was associated with increased risk of cardiorespiratory hospital admission in Wuhan. Per 10 μg/m3 increase of PM2.5 at lag0~2 days was associated with 1.23% (95%CI: 1.01–1.45%) and 1.95% (95%CI: 1.63–2.27%) elevated risk of admission from cardiovascular and respiratory diseases respectively. The elderly were at higher PM-induced risks. The associations appeared to be more evident in the cold season than in the warm season.Conclusions: This study contributed evidence to support the short-term effects of PM2.5 on cardiorespiratory hospital admission, which may be helpful for air pollution control and disease prevention in Wuhan.

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