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

Author

Listed:
  • Tran Ngoc Dang

    (Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
    Faculty of Public Health, University of Medicine and Pharmacy in Ho Chi Minh City, Ho Chi Minh 70000, Vietnam)

  • Yasushi Honda

    (Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Dung Van Do

    (Faculty of Public Health, University of Medicine and Pharmacy in Ho Chi Minh City, Ho Chi Minh 70000, Vietnam)

  • Anh Lan Thi Pham

    (Faculty of Public Health, University of Medicine and Pharmacy in Ho Chi Minh City, Ho Chi Minh 70000, Vietnam)

  • Cordia Chu

    (Centre for Environment and Population Health, Griffith University, Brisbane 4001, Australia)

  • Cunrui Huang

    (School of Public Health, Sun Yat-sen University, Guangzhou 510000, China)

  • Dung Phung

    (School of Public Health, Sun Yat-sen University, Guangzhou 510000, China
    School of Medicine, Nathan Gold Coast Campus, Griffith University, Nathan QLD 4111, Australia)

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.

Suggested Citation

  • Tran Ngoc Dang & Yasushi Honda & Dung Van Do & Anh Lan Thi Pham & Cordia Chu & Cunrui Huang & Dung Phung, 2019. "Effects of Extreme Temperatures on Mortality and Hospitalization in Ho Chi Minh City, Vietnam," IJERPH, MDPI, vol. 16(3), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:432-:d:202998
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    References listed on IDEAS

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    1. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    2. Xunfeng Yang & Lianfa Li & Jinfeng Wang & Jixia Huang & Shijun Lu, 2015. "Cardiovascular Mortality Associated with Low and High Temperatures: Determinants of Inter-Region Vulnerability in China," IJERPH, MDPI, vol. 12(6), pages 1-16, May.
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    Cited by:

    1. Ru Cao & Yuxin Wang & Jing Huang & Jie He & Pitakchon Ponsawansong & Jianbo Jin & Zhihu Xu & Teng Yang & Xiaochuan Pan & Tippawan Prapamontol & Guoxing Li, 2021. "The Mortality Effect of Apparent Temperature: A Multi-City Study in Asia," IJERPH, MDPI, vol. 18(9), pages 1-12, April.
    2. Xuemei Su & Yibin Cheng & Yu Wang & Yue Liu & Na Li & Yonghong Li & Xiaoyuan Yao, 2019. "Regional Temperature-Sensitive Diseases and Attributable Fractions in China," IJERPH, MDPI, vol. 17(1), pages 1-15, December.

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