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Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012
BACKGROUND: Heat waves are extreme weather events that have been associated with adverse health outcomes. However, there is limited knowledge of heat waves’ impact on population morbidity, such as emergency department (ED) visits. OBJECTIVES: We investigated associations between heat waves and ED vi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730512/ https://www.ncbi.nlm.nih.gov/pubmed/28599264 http://dx.doi.org/10.1289/EHP44 |
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author | Chen, Tianqi Sarnat, Stefanie E. Grundstein, Andrew J. Winquist, Andrea Chang, Howard H. |
author_facet | Chen, Tianqi Sarnat, Stefanie E. Grundstein, Andrew J. Winquist, Andrea Chang, Howard H. |
author_sort | Chen, Tianqi |
collection | PubMed |
description | BACKGROUND: Heat waves are extreme weather events that have been associated with adverse health outcomes. However, there is limited knowledge of heat waves’ impact on population morbidity, such as emergency department (ED) visits. OBJECTIVES: We investigated associations between heat waves and ED visits for 17 outcomes in Atlanta over a 20-year period, 1993–2012. METHODS: Associations were estimated using Poisson log-linear models controlling for continuous air temperature, dew-point temperature, day of week, holidays, and time trends. We defined heat waves as periods of [Formula: see text] consecutive days with temperatures beyond the 98th percentile of the temperature distribution over the period from 1945–2012. We considered six heat wave definitions using maximum, minimum, and average air temperatures and apparent temperatures. Associations by heat wave characteristics were examined. RESULTS: Among all outcome-heat wave combinations, associations were strongest between ED visits for acute renal failure and heat waves defined by maximum apparent temperature at lag 0 [relative risk (RR) = 1.15; 95% confidence interval (CI): 1.03–1.29], ED visits for ischemic stroke and heat waves defined by minimum temperature at lag 0 (RR = 1.09; 95% CI: 1.02–1.17), and ED visits for intestinal infection and heat waves defined by average temperature at lag 1 (RR = 1.10; 95% CI: 1.00–1.21). ED visits for all internal causes were associated with heat waves defined by maximum temperature at lag 1 (RR = 1.02; 95% CI: 1.00, 1.04). CONCLUSIONS: Heat waves can confer additional risks of ED visits beyond those of daily air temperature, even in a region with high air-conditioning prevalence. https://doi.org/10.1289/EHP44 |
format | Online Article Text |
id | pubmed-5730512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-57305122017-12-18 Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 Chen, Tianqi Sarnat, Stefanie E. Grundstein, Andrew J. Winquist, Andrea Chang, Howard H. Environ Health Perspect Research BACKGROUND: Heat waves are extreme weather events that have been associated with adverse health outcomes. However, there is limited knowledge of heat waves’ impact on population morbidity, such as emergency department (ED) visits. OBJECTIVES: We investigated associations between heat waves and ED visits for 17 outcomes in Atlanta over a 20-year period, 1993–2012. METHODS: Associations were estimated using Poisson log-linear models controlling for continuous air temperature, dew-point temperature, day of week, holidays, and time trends. We defined heat waves as periods of [Formula: see text] consecutive days with temperatures beyond the 98th percentile of the temperature distribution over the period from 1945–2012. We considered six heat wave definitions using maximum, minimum, and average air temperatures and apparent temperatures. Associations by heat wave characteristics were examined. RESULTS: Among all outcome-heat wave combinations, associations were strongest between ED visits for acute renal failure and heat waves defined by maximum apparent temperature at lag 0 [relative risk (RR) = 1.15; 95% confidence interval (CI): 1.03–1.29], ED visits for ischemic stroke and heat waves defined by minimum temperature at lag 0 (RR = 1.09; 95% CI: 1.02–1.17), and ED visits for intestinal infection and heat waves defined by average temperature at lag 1 (RR = 1.10; 95% CI: 1.00–1.21). ED visits for all internal causes were associated with heat waves defined by maximum temperature at lag 1 (RR = 1.02; 95% CI: 1.00, 1.04). CONCLUSIONS: Heat waves can confer additional risks of ED visits beyond those of daily air temperature, even in a region with high air-conditioning prevalence. https://doi.org/10.1289/EHP44 Environmental Health Perspectives 2017-05-31 /pmc/articles/PMC5730512/ /pubmed/28599264 http://dx.doi.org/10.1289/EHP44 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Chen, Tianqi Sarnat, Stefanie E. Grundstein, Andrew J. Winquist, Andrea Chang, Howard H. Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title | Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title_full | Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title_fullStr | Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title_full_unstemmed | Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title_short | Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012 |
title_sort | time-series analysis of heat waves and emergency department visits in atlanta, 1993 to 2012 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730512/ https://www.ncbi.nlm.nih.gov/pubmed/28599264 http://dx.doi.org/10.1289/EHP44 |
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