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The Mortality Risk and Socioeconomic Vulnerability Associated with High and Low Temperature in Hong Kong

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  • Sida Liu

    (Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China
    JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Emily Yang Ying Chan

    (Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China
    JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • William Bernard Goggins

    (JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Zhe Huang

    (Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China
    JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China)

Abstract

(1) Background: The adverse health effect associated with extreme temperature has been extensively reported in the current literature. Some also found that temperature effect may vary among the population with different socioeconomic status (SES), but found inconsistent results. Previous studies on the socioeconomic vulnerability of temperature effect were mainly achieved by multi-city or country analysis, but the large heterogeneity between cities may introduce additional bias to the estimation. The linkage between death registry and census in Hong Kong allows us to perform a city-wide analysis in which the study population shares virtually the same cultural, lifestyle and policy environment. This study aims to examine and compare the high and low temperature on morality in Hong Kong, a city with a subtropical climate and address a key research question of whether the extreme high and low temperature disproportionally affects population with lower SES. (2) Methods: Poisson-generalized additive models and distributed-lagged nonlinear models were used to examine the association between daily mortality and daily mean temperature between 2007–2015 with other meteorological and confounding factors controlled. Death registry was linked with small area census and area-level median household income was used as the proxy for socioeconomic status. (3) Results: 362,957 deaths during the study period were included in the analysis. The minimum mortality temperature was found to be 28.9 °C (82nd percentile). With a subtropical climate, the low temperature has a stronger effect than the high temperature on non-accidental, cardiovascular, respiratory and cancer deaths in Hong Kong. The hot effect was more pronounced in the first few days, while cold effect tended to last up to three weeks. Significant heat effect was only observed in the lower SES groups, whilst the extreme low temperature was associated with significantly higher mortality risk across all SES groups. The older population were susceptible to extreme temperature, especially for cold. (4) Conclusions: This study raised the concern of cold-related health impact in the subtropical region. Compared with high temperature, low temperature may be considered a universal hazard to the entire population in Hong Kong rather than only disproportionally affecting people with lower SES. Future public health policy should reconsider the strategy at both individual and community levels to reduce temperature-related mortality.

Suggested Citation

  • Sida Liu & Emily Yang Ying Chan & William Bernard Goggins & Zhe Huang, 2020. "The Mortality Risk and Socioeconomic Vulnerability Associated with High and Low Temperature in Hong Kong," IJERPH, MDPI, vol. 17(19), pages 1-14, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7326-:d:424678
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    References listed on IDEAS

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    1. Holly Ching Yu Lam & Zhe Huang & Sida Liu & Chunlan Guo & William Bernard Goggins & Emily Ying Yang Chan, 2020. "Personal Cold Protection Behaviour and Its Associated Factors in 2016/17 Cold Days in Hong Kong: A Two-Year Cohort Telephone Survey Study," IJERPH, MDPI, vol. 17(5), pages 1-16, March.
    2. Xuying Wang & Guoxing Li & Liqun Liu & Dane Westerdahl & Xiaobin Jin & Xiaochuan Pan, 2015. "Effects of Extreme Temperatures on Cause-Specific Cardiovascular Mortality in China," IJERPH, MDPI, vol. 12(12), pages 1-21, December.
    3. Carmen Iñiguez & Ferran Ballester & Juan Ferrandiz & Santiago Pérez-Hoyos & Marc Sáez & Antonio López, 2010. "Relation between Temperature and Mortality in Thirteen Spanish Cities," IJERPH, MDPI, vol. 7(8), pages 1-15, August.
    4. Marc Marí-Dell’Olmo & Aurelio Tobías & Anna Gómez-Gutiérrez & Maica Rodríguez-Sanz & Patricia García de Olalla & Esteve Camprubí & Antonio Gasparrini & Carme Borrell, 2019. "Social inequalities in the association between temperature and mortality in a South European context," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 27-37, January.
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    Cited by:

    1. Bakhtsiyarava, Maryia & Schinasi, Leah H. & Sánchez, Brisa N. & Dronova, Iryna & Kephart, Josiah L. & Ju, Yang & Gouveia, Nelson & Caiaffa, Waleska Teixeira & O'Neill, Marie S. & Yamada, Goro & Arunac, 2023. "Modification of temperature-related human mortality by area-level socioeconomic and demographic characteristics in Latin American cities," Social Science & Medicine, Elsevier, vol. 317(C).
    2. Zhe Huang & Emily Ying-Yang Chan & Chi-Shing Wong & Sida Liu & Benny Chung-Ying Zee, 2022. "Health Disparity Resulting from the Effect of Built Environment on Temperature-Related Mortality in a Subtropical Urban Setting," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    3. Emily Ying Yang Chan & Holly Ching Yu Lam, 2021. "Research in Health-Emergency and Disaster Risk Management and Its Potential Implications in the Post COVID-19 World," IJERPH, MDPI, vol. 18(5), pages 1-3, March.

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