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

Qi Zhao, Shanshan Li, Micheline S.Z.S. Coelho, Paulo H.N. Saldiva, Kejia Hu, Julie M. Arblaster, Neville Nicholls, Rachel R. Huxley, Michael J. Abramson, Yuming Guo

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Article number017001
Number of pages9
JournalEnvironmental Health Perspectives
Volume127
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Cite this

@article{4e71fc4df2ec4e2f825b132f77d3671c,
title = "Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil: A Nationwide Study between 2000 and 2015",
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.",
author = "Qi Zhao and Shanshan Li and Coelho, {Micheline S.Z.S.} and Saldiva, {Paulo H.N.} and Kejia Hu and Arblaster, {Julie M.} and Neville Nicholls and Huxley, {Rachel R.} and Abramson, {Michael J.} and Yuming Guo",
year = "2019",
month = "1",
day = "1",
doi = "10.1289/EHP3889",
language = "English",
volume = "127",
journal = "Environmental Health Perspectives",
issn = "0091-6765",
publisher = "National Institute of Environmental Health Sciences",
number = "1",

}

Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil : A Nationwide Study between 2000 and 2015. / Zhao, Qi; Li, Shanshan; Coelho, Micheline S.Z.S.; Saldiva, Paulo H.N.; Hu, Kejia; Arblaster, Julie M.; Nicholls, Neville; Huxley, Rachel R.; Abramson, Michael J.; Guo, Yuming.

In: Environmental Health Perspectives, Vol. 127, No. 1, 017001, 01.01.2019.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil

T2 - A Nationwide Study between 2000 and 2015

AU - Zhao, Qi

AU - Li, Shanshan

AU - Coelho, Micheline S.Z.S.

AU - Saldiva, Paulo H.N.

AU - Hu, Kejia

AU - Arblaster, Julie M.

AU - Nicholls, Neville

AU - Huxley, Rachel R.

AU - Abramson, Michael J.

AU - Guo, Yuming

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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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U2 - 10.1289/EHP3889

DO - 10.1289/EHP3889

M3 - Article

VL - 127

JO - Environmental Health Perspectives

JF - Environmental Health Perspectives

SN - 0091-6765

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M1 - 017001

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