Authors: Jian Cheng Rui Zhu Zhiwei Xu Xiangqing Xu Xu Wang Kesheng Li Hong Su
Publish Date: 2014/10/04
Volume: 59, Issue: 6, Pages: 923-931
Abstract
A Poisson generalized linear regression model combined with a distributed lag nonlinear 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 temperatureA significant effect of temperature change between neighboring days on mortality was observed Temperature increase was significantly associated with elevated mortality from nonaccidental and cardiovascular diseases while temperature decrease had a protective effect on nonaccidental mortality and cardiovascular mortality Males and people aged 65 years or older appeared to be more vulnerable to the impact of temperature change
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