title: [Association between temperature and daily mortality in Guangzhou, 2006-2009: a time-series study].
abstract: OBJECTIVE
  To study the association between temperature and daily mortality from June 1, 2006 to December 31, 2009 in Guangzhou.
  
  
  METHODS
  Time series approach was used to estimate the impact of temperature on the rates of total and cause-specific daily mortality. We fitted generalized additive Poisson regression using non-parametric smooth functions to control for the long-term time trend, day of week, air pollution and other weather variables.
  
  
  RESULTS
  A slight sloping U-like relationship between the total mortality and temperature was found, with an optimum average temperature (temperature with lowest mortality risk) value of 19.7°C in Guangzhou. For temperature above the optimum value, the relative risk of total mortality increased by 3.0% (RR=1.030, 95%CI: 1.011-1.050) for each increase of degree in Celsius. For average temperature below the optimum value, the relative risk of total mortality and diseases of circulatory system had a 3.3% (RR=0.967, 95%CI: 0.936-0.997) decrease and a 3.6% (RR=0.964, 95%CI: 0.935-0.994) increase, for each degree of Celsius increase, respectively.
  
  
  CONCLUSIONS
  Our findings showed that the temperature had an impact on the daily mortality in Guangzhou. Countermeasures needed to be taken to reduce the temperature related mortality.
authors.affiliation: Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510300, China.
authors.forename: Qing-hua
authors.initials: QH
authors.lastname: Yan
authors.forename: Yong-hui
authors.initials: YH
authors.lastname: Zhang
authors.forename: Wen-jun
authors.initials: WJ
authors.lastname: Ma
authors.forename: Yan-jun
authors.initials: YJ
authors.lastname: Xu
authors.forename: Xiao-jun
authors.initials: XJ
authors.lastname: Xu
authors.forename: Qiu-mao
authors.initials: QM
authors.lastname: Cai
authors.forename: Bo
authors.initials: B
authors.lastname: Pan
authors.forename: Si-qing
authors.initials: SQ
authors.lastname: Zeng
mesh_terms: D002681:China / Q000453:epidemiology; D006801:Humans; D009026:Mortality; D012307:Risk Factors; D012621:Seasons; D013696:Temperature; D014887:Weather