scholarly journals Ambient Air Pollution and Hospital Admissions for Peptic Ulcers in Taipei: A Time-Stratified Case-Crossover Study

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):  
Qiwei Yu ◽  
Liqiang Zhang ◽  
Kun Hou ◽  
Jingwen Li ◽  
Suhong Liu ◽  
...  

Exposure to air pollution has been suggested to be associated with an increased risk of women’s health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case–control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 35,989 women in Beijing from December 2008 to December 2017. We assessed the women’s exposure to air pollutants using the monitor located nearest to each woman’s residence and working places, adjusting for age, occupation, ambient temperature, and ambient humidity. The adjusted odds ratios (ORs) were examined to evaluate gynecologic cancer risk in six time windows (Phase 1–Phase 6) of women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the highest ORs were found in Phase 4 (240 days). Then, the higher adjusted ORs were found associated with the increased concentrations of each pollutant (PM2.5, CO, O3, and SO2) in Phase 4. For instance, the adjusted OR of gynecological cancer risk for a 1.0-mg m−3 increase in CO exposures was 1.010 (95% CI: 0.881–1.139) below 0.8 mg m−3, 1.032 (95% CI: 0.871–1.194) at 0.8–1.0 mg m−3, 1.059 (95% CI: 0.973–1.145) at 1.0–1.4 mg m−3, and 1.120 (95% CI: 0.993–1.246) above 1.4 mg m−3. The ORs calculated in different air pollution levels accessed us to identify the nonlinear association between women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the gynecological cancer risk. This study supports that the gynecologic risks associated with air pollution should be considered in improved public health preventive measures and policymaking to minimize the dangerous effects of air pollution.


2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Guo-Zhen Lin ◽  
Li Li ◽  
Yun-Feng Song ◽  
Ying-Xue Zhou ◽  
Shuang-Quan Shen ◽  
...  

2006 ◽  
Vol 114 (2) ◽  
pp. 277-281 ◽  
Author(s):  
Catherine Karr ◽  
Thomas Lumley ◽  
Kristen Shepherd ◽  
Robert Davis ◽  
Timothy Larson ◽  
...  

2020 ◽  
Author(s):  
Syuan-Yu Hong ◽  
Lei Wan ◽  
Hui-Ju Lin ◽  
Cheng-Li Lin ◽  
Chang-Ching Wei

Abstract Background Although research has suggested environmental factors to be triggers of headache, the contribution of long-term air pollution exposure to migraine and recurrent headaches (migraine/headaches) is poorly understood. Hence, we executed this nationwide cohort study to investigate the association of levels of ambient air pollution with the incidence and the risk of migraine/headaches in Taiwan children from 2000 to 2012. Methods We collected data from the Taiwan National Health Insurance Research Database and linked them to the Taiwan Air Quality Monitoring Database. Overall 218,008 children aged <18 (0-17) years old were identified from January 1, 2000 and then followed until they were diagnosed by a physician >=3 times with migraine/headaches or until December 31, 2012. We categorized the annual average concentration of each air pollutant (fine particulate matter, total hydrocarbon, methane, sulfur dioxide, and nitrogen dioxide) into quartiles (Q1-Q4). We measured the incidence rate, hazard ratios (HRs), and the corresponding 95% confidence intervals for migraine/headaches stratified by the quartiles. Results A total of 28037 children (12.9%) were identified with migraine/headaches. The incidence rate and adjusted HR for migraine/headaches increased with higher-level exposure of air pollutants, except sulfur dioxide. Conclusions We herein demonstrate that long-term ambient air pollutant exposure might be a risk factor for childhood migraine/headaches.


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.


2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Paul J. Villeneuve ◽  
Julie Johnson ◽  
Brian Rowe ◽  
J Lowes ◽  
Dion Pasichnyk ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document