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. 2019 Feb 2;16(3):432.
doi: 10.3390/ijerph16030432.

Effects of Extreme Temperatures on Mortality and Hospitalization in Ho Chi Minh City, Vietnam

Tran Ngoc Dang  1   2 , Yasushi Honda  3 , Dung Van Do  4 , Anh Lan Thi Pham  5 , Cordia Chu  6 , Cunrui Huang  7 , Dung Phung  8   9
Affiliations

Effects of Extreme Temperatures on Mortality and Hospitalization in Ho Chi Minh City, Vietnam

Tran Ngoc Dang et al. Int J Environ Res Public Health. .

Abstract

There is a lack of research focusing on the association of temperature with mortality and hospitalization in developing countries with tropical climates and a low capacity to cope with the influences of extreme weather events. This study aimed to examine and compare the effect of temperature, including heat waves, on mortality and hospitalization in the most populous city of Vietnam. We used quasi-Poisson time series regression coupled with the distributed lag non-linear model (DLNM) to examine the overall pattern and compare the temperature-health outcome relationship. The main and added effects of heat waves were evaluated. The main effect of heat waves significantly increased the risk of all cause-specific mortality. Significant main effects of heat waves on hospitalization were observed only for elderly people and people with respiratory diseases (elderly, relative risk (RR) = 1.28, 95% confidence interval (CI) = 1.14⁻3.45; respiratory diseases, RR = 1.3, 95% CI = 1.19⁻1.42). The RRs of the main effect were substantially higher than those of the added effect in mortality; the same was applicable for hospitalizations of people with respiratory diseases and elderly people. The findings of this study have important implications for public health adaptation and prevention program implementation in the protection of residents from the adverse health effects of temperature.

Keywords: Vietnam; added effect; heatwaves; main effect; temperature-related hospitalization; temperature-related mortality.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Time series plot of the daily basis of all-cause mortality, all-cause hospitalization, and temperature in Ho Chi Minh City from 2010 to 2013. The red lines indicate the summer period from March to May.
Figure 2
Figure 2
Short-term association between all-cause mortality, all-cause hospitalization, and temperature.The red curves indicate cumulative relative risk (RR), and the grey areas indicate the 95% confidence intervals.
Figure 3
Figure 3
Main and added effect of heat waves on hospitalization and mortality cause specific. The left panel is for hospitalization and the right panel is for mortality. The blue point are the RRs of main effects with 95% confidence intervals and the red point are the RRs of added effects with 95% confidence intervals.
See this image and copyright information in PMC

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