title: [Study of relationship between atmospheric fine particulate matter concentration and one grade a tertiary hospital emergency room visits during 2012 and 2013 in Beijing].
abstract: OBJECTIVE
  To explore the concentration-response relationship between ambient concentration of PM2.5 and daily total hospital emergency room visits in Beijing during 2012 and 2013. This study also examined the effects of ambient PM2.5 during heavy polluted days on emergency room visits compared with the light polluted days.
  
  
  METHODS
  We collected the daily meteorological factors monitoring data and concentrations of air pollutants in Beijing during October 1, 2012 to December 31, 2013. We also collected the daily emergency room visits from a tertiary hospital in Beijing in the same time period. Generalized additive model was fitted to estimate the association between the ambient PM2.5 and the hospital emergency room visits, by using the smooth function to adjust long term trend of time, public holidays and day of week. In addition, constrained piecewise linear function was then used to estimate the excess risk for different segment of concentration-response function.
  
  
  RESULTS
  The annual average concentration of PM2.5 was 90.9 µg/m(3) during October 1, 2012 and December 31, 2013. There were total 64 260 cases for total emergency room visits, of which respiratory disease had 9 849 cases and cardiovascular disease had 11 168 cases. PM2.5 was positive related with PM10, NO2 and SO2. The corresponding correlation coefficients were 0.87, 0.78 and 0.62, respectively (P<0.05). And PM2.5 was positively related with relative humidity, with correlation coefficient 0.45 (P<0.05). But PM2.5 was negatively related with mean temperature (r=-0.17, P< 0.05) and wind speed (- 0.32, P<0.05). In the single polluted model, after adjusting the effects of temperature, relative humidity and wind, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits was 0.25% (95% CI: 0.07-0.43). In the two-pollutant model PM2.5+SO2 and PM2.5+NO2, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits were 1.07% (95%CI:0.83-1.30) and 0.56% (95%CI: 0.32-0.80) respectively, which were higher than the effect in single pollutant model. Average concentration of ambient particulate matters (PM2.5) was 204.16 µg/m(3) during heavy pollution, higher than control period (85.24 µg/m(3)). When PM2.5 as the primary air pollutants during heavy polluted days, we observed a significant increase in emergency room visits, and the odd ratios was 1.16 (95% CI:1.09-1.22).
  
  
  CONCLUSIONS
  There were positive correlation between high concentration of ambient particulate matters (PM2.5) and increasing daily emergency room visits. Especially during the heavy polluted days, the effects of elevated concentration of PM2.5 on hospital emergency room visits were much larger.
authors.affiliation: Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Peking University, Beijing 100191, China.
authors.forename: Xuying
authors.initials: X
authors.lastname: Wang
authors.forename: Guoxing
authors.initials: G
authors.lastname: Li
authors.forename: Xiaobin
authors.initials: X
authors.lastname: Jin
authors.forename: Jing
authors.initials: J
authors.lastname: Mu
authors.forename: Jie
authors.initials: J
authors.lastname: Pan
authors.forename: Fengchao
authors.initials: F
authors.lastname: Liang
authors.forename: Lin
authors.initials: L
authors.lastname: Tian
authors.forename: Shi
authors.initials: S
authors.lastname: Chen
authors.forename: Qun
authors.initials: Q
authors.lastname: Guo
authors.forename: Wentan
authors.initials: W
authors.lastname: Dong
authors.forename: Xiaochuan
authors.initials: X
authors.lastname: Pan
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000068476:Beijing; D002318:Cardiovascular Diseases / Q000175:diagnosis; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D006801:Humans; D008685:Meteorological Concepts; D052638:Particulate Matter / Q000032:analysis*; D012140:Respiratory Tract Diseases / Q000175:diagnosis; D013696:Temperature; D062606:Tertiary Care Centers
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter