Effects of Ambient Air Pollution on Nonelderly Asthma Hospital Admissions in Seattle, Washington, 1987–1994

Epidemiology ◽  
1999 ◽  
Vol 10 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Lianne Sheppard ◽  
Drew Levy ◽  
Gary Norris ◽  
Timothy V. Larson ◽  
Jane Q. Koenig
2019 ◽  
Vol 651 ◽  
pp. 1144-1153 ◽  
Author(s):  
Arthit Phosri ◽  
Kayo Ueda ◽  
Vera Ling Hui Phung ◽  
Benjawan Tawatsupa ◽  
Akiko Honda ◽  
...  

Author(s):  
Shang-Shyue Tsai ◽  
Hui-Fen Chiu ◽  
Chun-Yuh Yang

Very few studies have been performed to determine whether there is a relationship between air pollution and increases in hospitalizations for peptic ulcer, and for those that have occurred, their results may not be completely relevant to Taiwan, where the mixture of ambient air pollutants differ. We performed a time-stratified case-crossover study to investigate the possible association between air pollutant levels and hospital admissions for peptic ulcer in Taipei, Taiwan. To do this, we collected air pollution data from Taiwan's Environmental Protection Agency and hospital admissions for peptic ulcer data for the years 2009–2013 from Taiwan's National Health Insurance's research database. We used conditional logistic regression to analyze the possible association between the two, taking temperature and relative humidity into account. Risk was expressed as odds ratios and significance was expressed with 95% confidence intervals. In our single pollutant model, peptic ulcer admissions were significantly associated with all pollutants (PM10, PM2.5, SO2, NO2, CO, and O3) on warm days (>23 °C). On cool days (<23 °C), peptic ulcer admissions were significantly associated with PM10, NO2, and O3. In our two-pollutant models, peptic ulcer admissions were significantly associated NO2 and O3 when combined with each of the other pollutants on warm days, and with PM10, NO2, and O3 on cool days. It was concluded that the likelihood of peptic ulcer hospitalizations in Taipei rose significantly with increases in air pollutants during the study period.


Author(s):  
Sajith Priyankara ◽  
Mahesh Senarathna ◽  
Rohan Jayaratne ◽  
Lidia Morawska ◽  
Sachith Abeysundara ◽  
...  

Evidence of associations between exposure to ambient air pollution and health outcomes are sparse in the South Asian region due to limited air pollution exposure and quality health data. This study investigated the potential impacts of ambient particulate matter (PM) on respiratory disease hospitalization in Kandy, Sri Lanka for the year 2019. The Generalized Additive Model (GAM) was applied to estimate the short-term effect of ambient PM on respiratory disease hospitalization. As the second analysis, respiratory disease hospitalizations during two distinct air pollution periods were analyzed. Each 10 μg/m3 increase in same-day exposure to PM2.5 and PM10 was associated with an increased risk of respiratory disease hospitalization by 1.95% (0.25, 3.67) and 1.63% (0.16, 3.12), respectively. The effect of PM2.5 or PM10 on asthma hospitalizations were 4.67% (1.23, 8.23) and 4.04% (1.06, 7.11), respectively (p < 0.05). The 65+ years age group had a higher risk associated with PM2.5 and PM10 exposure and hospital admissions for all respiratory diseases on the same day (2.74% and 2.28%, respectively). Compared to the lower ambient air pollution period, higher increased hospital admissions were observed among those aged above 65 years, males, and COPD and pneumonia hospital admissions during the high ambient air pollution period. Active efforts are crucial to improve ambient air quality in this region to reduce the health effects.


Epidemiology ◽  
2006 ◽  
Vol 17 (Suppl) ◽  
pp. S266 ◽  
Author(s):  
C Restrepo ◽  
J Simonoff ◽  
G Thurston ◽  
R Zimmerman

2020 ◽  
Vol 04 (04) ◽  
pp. 40-52
Author(s):  
Thuy Linh Nguyen ◽  
◽  
Tu Le ◽  
Thi Kim Ngan Nguyen ◽  
Thi Bich Lien Nguyen ◽  
...  

Time series has been widely used in environmental epidemiology; especially in identifying the short-term associations between ambient air pollution and health outcomes. For both exposure and outcome, data are available at regular time intervals (daily hospital admissions and pollution levels) to explore short-term associations between them. In this article, we described main steps to conduct time series regression and highlighted some key ideas when applying this technique. A sample data was used to investigate short-term association between PM10 and daily hospital admission among children in Hanoi between 2008 and 2016. This analysis was conducted with R software. Keywords: time series, air pollution, short-term effect


2019 ◽  
Vol 20 (6) ◽  
pp. 919-931 ◽  
Author(s):  
Massimo Filippini ◽  
Giuliano Masiero ◽  
Sandro Steinbach

2021 ◽  
Author(s):  
Huawen Zhong ◽  
Linlin Yang ◽  
Wei Qiang ◽  
Yongxian Zhou ◽  
Lintong Wei ◽  
...  

Abstract Background Daily concentrations of air pollution are associated with lower respiratory diseases. This study investigated the short-term association of ambient air pollution with daily hospital admissions due to pneumonia among children aged 0–17 in Guangzhou city of China.Methods Daily ambient air pollution concentrations were extracted from the databases of the Chinese Environmental Monitoring Center. Children hospital admission counts for pneumonia during 2013–2018 were sourced from the Guangdong Maternal and Child Healthcare Hospital. Associations between outdoor air pollution levels and hospital admissions were estimated for time lags of zero up to seven days using Quasi-Poisson regression models, adjusted for seasonal variations, meteorological variables, day of week and holidays. The associations between clinical pathogenic microorganism inspection results for pneumonia and air pollutants were calculated using Lasso regression models.Results Ambient air pollutants were all positively associated with children hospital admissions due to pneumonia of all ages. Significant associations were found for air pollutants except for inhalable particulate matter (PM) \(\le\)10 µm in aerodynamic diameter (PM10) in children aged 0–17 years. Increments of an interquartile range (IQR) (279.10µg/m3 and 28.42µg/m3, respectively) in the 7-day-average level of carbon monoxide (CO) and nitrogen dioxide (NO2) were associated with a 26.17% (95% confidence interval (CI) 1.40%-56.98%) and 25.09% (95%CI 0.54%-55.64%) increase in pneumonia hospitalizations for children aged 6–17, respectively. An IQR increase in CO concentrations (279.10µg/m3) was associated with a 15.15% (95%CI 4.34%-27.08%) increase in pneumonia hospitalizations for children aged 1–5. Estimates for CO were statistically significant among children aged 1–5 years in summer. The associations remained stable in two-pollutant models. Daily cases of microbial detection for pneumonia were positively associated with daily NO2 concentration. The pneumonia hospitalizations due to Mycoplasma pneumonia, Flu A virus and Flu B virus, the predominant pathogenic microorganisms detected in children aged 0–5 are apparently associated with levels of PMs, CO, NO2 and O3.Conclusions Strong associations among hospital admissions for lower respiratory infections, pathogenic microorganisms and daily levels of air pollution confirm the urgent need to adopt sustainable improving ambient air quality policies in Guangzhou city to protect children's health.


2020 ◽  
Vol 177 (8) ◽  
pp. 735-743 ◽  
Author(s):  
Xuelin Gu ◽  
Tongjun Guo ◽  
Yaqin Si ◽  
Jinxi Wang ◽  
Wangjian Zhang ◽  
...  

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