OBJECTIVES: 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.
OBJECTIVES: 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: Antonella Zanobetti; Marie S O'Neill; Carina J Gronlund; Joel D Schwartz Journal: Proc Natl Acad Sci U S A Date: 2012-04-09 Impact factor: 11.205
Authors: Ru Cao; Yuxin Wang; Jing Huang; Jie He; Pitakchon Ponsawansong; Jianbo Jin; Zhihu Xu; Teng Yang; Xiaochuan Pan; Tippawan Prapamontol; Guoxing Li Journal: Int J Environ Res Public Health Date: 2021-04-28 Impact factor: 3.390
Authors: Ana M Vicedo-Cabrera; Bertil Forsberg; Aurelio Tobias; Antonella Zanobetti; Joel Schwartz; Ben Armstrong; Antonio Gasparrini Journal: Am J Epidemiol Date: 2016-01-24 Impact factor: 4.897