title: Temperature variation between neighboring days and mortality: a distributed lag non-linear analysis.
abstract: OBJECTIVE
  To investigate whether a sudden temperature change between neighboring days has significant impact on mortality.
  
  
  METHODS
  A Poisson generalized linear regression model combined with a distributed lag non-linear models was used to estimate the association of temperature change between neighboring days with mortality in a subtropical Chinese city during 2008-2012. Temperature change was calculated as the current day's temperature minus the previous day's temperature.
  
  
  RESULTS
  A significant effect of temperature change between neighboring days on mortality was observed. Temperature increase was significantly associated with elevated mortality from non-accidental and cardiovascular diseases, while temperature decrease had a protective effect on non-accidental mortality and cardiovascular mortality. Males and people aged 65 years or older appeared to be more vulnerable to the impact of temperature change.
  
  
  CONCLUSIONS
  Temperature increase between neighboring days has a significant adverse impact on mortality. Further health mitigation strategies as a response to climate change should take into account temperature variation between neighboring days.
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Cheng
authors.forename: Rui
authors.initials: R
authors.lastname: Zhu
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Xu
authors.forename: Xiangqing
authors.initials: X
authors.lastname: Xu
authors.forename: Xu
authors.initials: X
authors.lastname: Wang
authors.forename: Kesheng
authors.initials: K
authors.lastname: Li
authors.forename: Hong
authors.initials: H
authors.lastname: Su
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D002318:Cardiovascular Diseases / Q000401:mortality; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality; D017711:Nonlinear Dynamics; D012140:Respiratory Tract Diseases / Q000401:mortality; D012621:Seasons; D012737:Sex Factors; D013696:Temperature; D013997:Time Factors