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    Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil: A Nationwide Study between 2000 and 2015

    Access Status
    Fulltext not available
    Authors
    Zhao, Q.
    Li, S.
    Coelho, M.
    Saldiva, P.
    Hu, K.
    Arblaster, J.
    Nicholls, N.
    Huxley, Rachel
    Abramson, M.
    Guo, Y.
    Date
    2019
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhao, Q. and Li, S. and Coelho, M. and Saldiva, P. and Hu, K. and Arblaster, J. and Nicholls, N. et al. 2019. Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil: A Nationwide Study between 2000 and 2015. Environ Health Perspect. 127 (1).
    Source Title
    Environ Health Perspect
    DOI
    10.1289/EHP3889
    ISSN
    1552-9924
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/74618
    Collection
    • Curtin Research Publications
    Abstract

    BACKGROUND: Limited evidence is available regarding the association between heat exposure and morbidity in Brazil and how the effect of heat exposure on health outcomes may change over time. OBJECTIVES: This study sought to quantify the geographic, demographic and temporal variations in the heat-hospitalization association in Brazil from 2000-2015. METHODS: Data on hospitalization and meteorological conditions were collected from 1,814 cities during the 2000-2015 hot seasons. Quasi-Poisson regression with constrained lag model was applied to examine city-specific estimates, which were then pooled at the regional and national levels using random-effect meta-analyses. Stratified analyses were performed by sex, 10 age groups, and 11 cause categories. Meta-regression was used to examine the temporal change in estimates of heat effect from 2000 to 2015. RESULTS: For every 5°C increase in daily mean temperature during the 2000-2015 hot seasons, the estimated risk of hospitalization over lag 0-7 d rose by 4.0% [95% confidence interval (CI): 3.7%, 4.3%] nationwide. Estimated 6.2% [95% empirical CI (eCI): 3.3%, 9.1%] of hospitalizations were attributable to heat exposure, equating to 132 cases (95% eCI: 69%, 192%) per 100,000 residents. The attributable rate was greatest in children [Formula: see text] and was highest for hospitalizations due to infectious and parasitic diseases. Women of reproductive age and those [Formula: see text] had higher heat burden than men. The attributable burden was greatest for cities in the central west and the inland of the northeast; lowest in the north and eastern coast. Over the 16-y period, the estimated heat effects declined insignificantly at the national level. CONCLUSIONS: In Brazil's hot seasons, 6% of hospitalizations were estimated to be attributed to heat exposure. As there was no evidence indicating that thermal adaptation had occurred at the national level, the burden of hospitalization associated with heat exposure in Brazil is likely to increase in the context of global warming. https://doi.org/10.1289/EHP3889.

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