title: [Distributed lag effects in the relationship between daily mean temperature and mortality in Shanghai].
abstract: OBJECTIVE
  To study the impact of daily mean temperature on mortality in Shanghai.
  
  
  METHODS
  With data on daily mortality, meteorological and air pollution, we used a distributed lag nonlinear model (DLNM) to assess the effects of daily mean temperature on deaths (caused by non-accidental, cardiovascular and respiratory) adjusted for both secular, seasonal trends and other confounders.
  
  
  RESULTS
  A J-shaped relationship was found consistently between daily mean temperature and non-accidental, cardiovascular and respiratory deaths in Shanghai. Cold effects were delayed by 1 day to 4 days and persisted for 14 - 30 days. Hot effects appeared acute and the highest at the first day, but lasted for 2 days and followed by mortality displacement.
  
  
  CONCLUSIONS
  In Shanghai, both cold and hot temperatures increased the risk of mortality with delayed effects. Cold effects seemed last longer than heat did.
authors: School of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.
authors: Jing
authors: J
authors: Zhang
authors: Xue
authors: X
authors: Liu
authors: Hai-dong
authors: HD
authors: Kan
mesh_terms: D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000401:mortality*; D002681:China / Q000453:epidemiology; D002980:Climate; D006801:Humans; D009026:Mortality; D017711:Nonlinear Dynamics; D012140:Respiratory Tract Diseases / Q000453:epidemiology / Q000401:mortality*; D012621:Seasons; D013696:Temperature