Short-term Effects of Multiple Ozone Metrics on Outpatient Visits For Urticaria in Lanzhou

Abstract Background Although mounting evidence suggests that short-term exposure to ozone increases the risk of respiratory disease, cardiovascular disease and mortality, there are few studies comparing the effects of ozone in relation to urticaria in China.Objective To evaluate the risks for urticaria exacerbations related to ambient ozone measured as 1-h maximum (O3-1 h max), maximum 8-h (O3-8 h max) and 24-h average (O3-24 h avg) concentrations. Methods We calculated three metrics of ozone, 1-h maximum, maximum 8-h and 24-h average based on the hourly data. Generalized additive models with poisson regression incorporating natural spline functions were used to investigate short-term effects on urticaria associated with ambient ozone pollution in Lanzhou, China, using 5 years of daily data (2013-2017). We also examined the association by sex, age and season.Results In all-year analyses, a 10 μg/m3 increase in daily average, O3-1 h max, O3-8 h max and O3-24 h avg at lag2 corresponded to an increase of 0.58%(95%CI：0.26%~0.90%), 0.82% (95%CI：0.47%~1.16%) and 2.17% (95%CI：1.17%~2.79%), respectively. The elderly populations and females were susceptible to O3, and the associations between ozone and urticaria appeared to be more evident during warm season than in the cold season.Conclusion In conclusion, these results indicated that ozone, as a widespread pollutant, affects outpatient visits for urticaria in Lanzhou.

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Short-Term Associations of Ambient Fine Particulate Matter (PM2.5) with All-Cause Hospital Admissions and Total Charges in 12 Japanese Cities

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18084116 ◽

2021 ◽

Vol 18 (8) ◽

pp. 4116

Author(s):

Kohei Hasegawa ◽

Hirokazu Toubou ◽

Teruomi Tsukahara ◽

Tetsuo Nomiyama

Keyword(s):

Particulate Matter ◽

Hospital Admission ◽

Hospital Admissions ◽

Generalized Additive Models ◽

Fine Particulate Matter ◽

Random Effect ◽

Additive Models ◽

Short Term ◽

Short Term Exposure ◽

Total Charges

The short-term association between ambient particulate matter ≤2.5 microns in diameter (PM2.5) and hospital admissions is not fully understood. Studies of this association with hospital admission costs are also scarce, especially in entire hospitalized populations. We examined the association between ambient PM2.5 and all-cause hospital admissions, the corresponding total charges, and the total charges per patient by analyzing the hospital admission data of 2 years from 628 hospitals in 12 cities in Japan. We used generalized additive models with quasi-Poisson regression for hospital admissions and generalized additive models with log-linear regression for total charges and total charges per patient. We first estimated city-specific results and the combined results by random-effect models. A total of 2,017,750 hospital admissions were identified. A 10 µg/m3 increase in the 2 day moving average was associated with a 0.56% (95% CI: 0.14–0.99%) increase in all-cause hospital admissions and a 1.17% (95% CI: 0.44–1.90%) increase in total charges, and a 10 µg/m3 increase in the prior 2 days was associated with a 0.75% (95% CI: 0.34–1.16%) increase in total charges per patient. Short-term exposure to ambient PM2.5 was associated with increased all-cause hospital admissions, total charges, and total charges per patient.

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Short-Term Exposure to Ambient Ozone and Outpatient Visits for Respiratory Diseases — 5 Cities, China, 2013−2015

China CDC Weekly ◽

10.46234/ccdcw2020.198 ◽

2020 ◽

Vol 2 (45) ◽

pp. 878-881

Author(s):

Yue Niu ◽

◽

Cong Liu ◽

Renjie Chen ◽

Haidong Kan

Keyword(s):

Respiratory Diseases ◽

Short Term ◽

Ambient Ozone ◽

Outpatient Visits ◽

Short Term Exposure

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Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China

Respiratory Research ◽

10.1186/s12931-021-01731-x ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Zhan Ren ◽

Xingyuan Liu ◽

Tianyu Liu ◽

Dieyi Chen ◽

Kuizhuang Jiao ◽

...

Keyword(s):

Air Pollution ◽

Hospital Admission ◽

Hospital Admissions ◽

Conditional Logistic Regression ◽

Warm Season ◽

Central China ◽

Air Pollution Control ◽

Short Term ◽

Short Term Exposure ◽

Increased Risk

Abstract Background 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 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. Methods This 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. Results A 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. Conclusions This 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.

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