title: [A time-series study on the relationship between gaseous air pollutants and daily hospitalization of respiratory disease in Lanzhou City].
abstract: OBJECTIVE
  To evaluate the relationship between exposure to gaseous air pollutants (NO2 and SO2) and daily hospital admissions for respiratory diseases.
  
  
  METHODS
  After controlling long time trend, the "day of week" effect and confounding factors of meteorology, a semi-parametric generalized additive model (GAM) was used to analyze the exposure-effect relationship between gaseous air pollutants and daily respiratory hospital visits from 2001 to 2005 in Lanzhou city.
  
  
  RESULTS
  Both NO2 and SO2 have positive relationships with residents' hospital visits for respiratory complaints. In single-pollutant models, the best fits for NO2 and SO2 were one day after (Lag1) and the same day visit (Lag0). With an IQR concentration increase in NO2 (Lag1) and SO2 (Lag0), the relative risks of daily hospital admissions for respiratory diseases were 1.060 (95% CI 1.046-1.074) and 1.048 (95% CI 1.031-1.065), respectively. The susceptible populations were female and the elderly. The health effect of gaseous air pollution was more obvious in autumn and winter.
  
  
  CONCLUSIONS
  The ambient NO2 and SO2 concentrations have an adverse effect on daily hospital visits for respiratory diseases of residents in Lanzhou.
authors.affiliation: College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China. wangminzhen1984@126.com
authors.forename: Minzhen
authors.initials: M
authors.lastname: Wang
authors.forename: Shan
authors.initials: S
authors.lastname: Zheng
authors.forename: Shigong
authors.initials: S
authors.lastname: Wang
authors.forename: Yan
authors.initials: Y
authors.lastname: Tao
authors.forename: Kezheng
authors.initials: K
authors.lastname: Shang
mesh_terms: D000368:Aged; D000393:Air Pollutants / Q000032:analysis*; D002681:China / Q000453:epidemiology; D004781:Environmental Exposure / Q000009:adverse effects*; D005260:Female; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009585:Nitrogen Dioxide / Q000032:analysis; D012140:Respiratory Tract Diseases / Q000453:epidemiology*; D013458:Sulfur Dioxide / Q000032:analysis
chemical_list: D000393:Air Pollutants; D013458:Sulfur Dioxide; D009585:Nitrogen Dioxide