Abstract

Background

The relationship between temperature and mortality has been found to be U-, V-, or J-shaped in developed temperate countries; however, in developing tropical/subtropical cities, it remains unclear.

Objectives

Our goal was to investigate the relationship between temperature and mortality in Hue, a subtropical city in Viet Nam.

Design

We collected daily mortality data from the Vietnamese A6 mortality reporting system for 6,214 deceased persons between 2009 and 2013. A distributed lag non-linear model was used to examine the temperature effects on all-cause and cause-specific mortality by assuming negative binomial distribution for count data. We developed an objective-oriented model selection with four steps following the Akaike information criterion (AIC) rule (i.e. a smaller AIC value indicates a better model).

Results

High temperature-related mortality was more strongly associated with short lags, whereas low temperature-related mortality was more strongly associated with long lags. The low temperatures increased risk in all-category mortality compared to high temperatures. We observed elevated temperature-mortality risk in vulnerable groups: elderly people (high temperature effect, relative risk [RR]=1.42, 95% confidence interval [CI]=1.11–1.83; low temperature effect, RR=2.0, 95% CI=1.13–3.52), females (low temperature effect, RR=2.19, 95% CI=1.14–4.21), people with respiratory disease (high temperature effect, RR=2.45, 95% CI=0.91–6.63), and those with cardiovascular disease (high temperature effect, RR=1.6, 95% CI=1.15–2.22; low temperature effect, RR=1.99, 95% CI=0.92–4.28).

Conclusions

In Hue, the temperature significantly increased the risk of mortality, especially in vulnerable groups (i.e. elderly, female, people with respiratory and cardiovascular diseases). These findings may provide a foundation for developing adequate policies to address the effects of temperature on health in Hue City.

Details

Title
Characterizing the relationship between temperature and mortality in tropical and subtropical cities: a distributed lag non-linear model analysis in Hue, Viet Nam, 2009–2013
Author
Dang, Tran Ngoc 1 ; Seposo, Xerxes T 2 ; Nguyen Huu Chau Duc 3 ; Tran, Binh Thang 4 ; Do Dang An 5 ; Lai Thi Minh Hang 6 ; Tran Thanh Long 6 ; Bui Thi Hong Loan 7 ; Honda, Yasushi 8 

 Department of Health Care Policy and Management Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan; Department of Environmental Health Faculty of Public Health, University of Medicine and Pharmacy, Ho Chi Minh City, Viet Nam 
 Department of Health Care Policy and Management Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan 
 Department of Global Health Promotion Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Department of Pediatrics Hue University of Medicine and Pharmacy, Hue City, Viet Nam 
 Institute for Community Heath Research Hue University of Medicine and Pharmacy, Hue City, Viet Nam 
 Department of International Cooperation Ministry of Health, Hanoi, Viet Nam 
 Department of Epidemiology and Preventive Medicine Graduate School of Medical and Dental Sciences, University of Kagoshima, Kagoshima, Japan 
 Department of Global Public Health Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan 
 Faculty of Health and Sport Sciences University of Tsukuba, Tsukuba, Japan 
Publication year
2016
Publication date
Dec 2016
Publisher
Taylor & Francis Ltd.
e-ISSN
16549880
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2215231401
Copyright
© 2016 Tran Ngoc Dang et al. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.