Abstract
Background: Temperature change and extreme weather events caused by climate change are known risk factors to human health. Many studies have been conducted to understand the effects of climate change on adverse health outcomes.Objectives: We aimed to understand the relationship between elderly mortality and temperature anomaly using the Temperature Deviation Index (TDI), which considers exposure history.Methods: We assessed the effects of TDI on mortality in Korea from 1992 to 2015. The TDI was defined as the target day’s temperature abnormality compared to previous 25 years’ apparent temperature (AT). The relationship between the TDI and elderly mortality was examined by generalized linear modeling with Poisson distribution.Results: Most regions showed positive linear associations, and the associations ranged from 0.1% to 0.5% increase per unit increase of the TDI. Our analysis showed that increase in TDI was significantly associated with increase in elderly mortality in Korea.Conclusions: We suggest a positive and significant association between elderly mortality and temperature deviation index (TDI) an indicator representing abnormality of temperature using exposure history.
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