Temperature variation between neighboring days and mortality: a distributed lag non-linear analysis
Cheng, Jian, Zhu, Rui, Xu, Zhiwei, Xu, Xiangqing, Wang, Xu, Li, Kesheng, & Su, Hong (2014) Temperature variation between neighboring days and mortality: a distributed lag non-linear analysis. International Journal of Public Health, 59(6), pp. 923-931.
To investigate whether a sudden temperature change between neighboring days has significant impact on mortality.
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.
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.
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.
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|Item Type:||Journal Article|
|Divisions:||Current > Research Centres > Centre for Health Research
Current > QUT Faculties and Divisions > Faculty of Health
|Deposited On:||02 Nov 2015 00:53|
|Last Modified:||02 Nov 2015 00:53|
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