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Ambient Air Pollution and Daily Hospital Admissions for Respiratory Disease in Children in Guiyang, China
Hao Zhou1, Tianqi Wang2, Fang Zhou1
1Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, China.
Insights
Air pollution significantly increases children's hospital admissions for respiratory diseases. Particulate Matter 10 (PM10) exposure the day before admission showed the strongest association, impacting hospitalization duration and cost.
Area of Science:
- Environmental Health
- Pediatric Respiratory Medicine
- Epidemiology
Background:
- Ambient air pollution is a growing global health concern, particularly for vulnerable pediatric populations.
- Respiratory diseases are a leading cause of childhood hospitalization, and their incidence may be linked to environmental factors.
- Understanding the specific impact of air pollutants on pediatric respiratory admissions is crucial for public health interventions.
Purpose of the Study:
- To investigate the association between exposure to ambient air pollutants and daily hospital admissions for respiratory diseases in children.
- To analyze the correlation between air quality and the duration and economic cost of pediatric respiratory hospitalizations.
- To assess the predictive capability of air pollution data for upcoming daily pediatric hospital admissions.
Main Methods:
- Canonical Correlation Analysis (CCA) was employed to examine the relationship between daily air pollutant concentrations (PM2.5, NO2, PM10, SO2) and hospital admissions.
- Reproducibility analysis assessed the link between air pollution and hospitalization duration and direct costs.
- Support Vector Regression (SVR) was used to determine if air pollution levels could predict future daily admissions.
Main Results:
- A significant correlation was found between air pollution and daily hospital admissions (r=0.3564, p<0.001), hospitalization duration (r=0.2911, p<0.001), and economic cost (r=0.2933, p<0.001).
- Particulate Matter 10 (PM10) exhibited the strongest association with daily admissions, with the previous day's concentration being most impactful.
- The correlation was slightly stronger in children aged 2-18 years compared to those under 2 years old; no significant sex-based difference was observed. Air pollution data successfully predicted daily admissions (R=0.378).
Conclusions:
- Ambient air pollution is significantly associated with increased hospital admissions, longer hospitalization durations, and higher economic costs for pediatric respiratory diseases.
- The most substantial impact of air pollution on admissions occurs on the day preceding hospitalization.
- PM10 was identified as the most influential pollutant among those studied, highlighting its critical role in pediatric respiratory health outcomes.
Abstract:
Objectives: To investigate the association between ambient air pollutant exposure and daily hospital admissions for respiratory diseases in children in Guiyang. Methods: Clinical data of pediatric inpatients with respiratory disease from 2009 to 2016 in Guizhou Provincial People's Hospital and PM2.5, NO2, PM10, and SO2 concentration data were retrieved. A canonical correlation analysis (CCA) was applied to analyse the association between air pollutants and daily hospital admissions for respiratory diseases. A reproducibility analysis was applied to analyse the association between air pollution and the duration and direct cost of hospitalization. The support vector regression (SVR) method was applied to determine whether air pollution data could predict the daily hospital admissions for the upcoming day. Results: A total of 10,876 inpatients with respiratory diseases were included between January 1, 2009 and December 31, 2016. The CCA showed significant correlations between air pollution and daily hospital admissions (r = 0.3564, p < 0.001), the duration of hospitalization (r = 0.2911, p < 0.001) and the economic cost of hospitalization (r = 0.2933, p < 0.001) for respiratory disease. PM10 contributed most to daily hospital admissions for respiratory disease; the concentration the day before hospitalization contributed most to the daily hospital admissions for respiratory disease. There was a slightly stronger correlation between air pollution and respiratory disease in children aged 2-18 years (R = 0.36 vs. R = 0.31 in those under 2 years old). No significant difference was found between male and female patients. The prediction analysis showed that air pollution could successfully predict daily pediatric inpatient hospital admissions (R = 0.378, permutation p < 0.001). Conclusions: Air pollution was significantly associated with hospital admissions, hospitalization duration and the economic cost of hospitalization in children with respiratory diseases. The maximum effect occurred on the day before hospitalization. The effect of PM10 on daily pediatric inpatient hospital admissions for respiratory disease was the greatest among the pollutants evaluated.
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