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Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea
BACKGROUND: Climate change may significantly affect human health. The possible effects of high ambient temperature must be better understood, particularly in terms of certain diseases’ sensitivity to heat (as reflected in relative risks [RR]) and the consequent disease burden (number or fraction of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334895/ https://www.ncbi.nlm.nih.gov/pubmed/25692296 http://dx.doi.org/10.1371/journal.pone.0118577 |
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author | Kim, Clara T. Lim, Youn-Hee Woodward, Alistair Kim, Ho |
author_facet | Kim, Clara T. Lim, Youn-Hee Woodward, Alistair Kim, Ho |
author_sort | Kim, Clara T. |
collection | PubMed |
description | BACKGROUND: Climate change may significantly affect human health. The possible effects of high ambient temperature must be better understood, particularly in terms of certain diseases’ sensitivity to heat (as reflected in relative risks [RR]) and the consequent disease burden (number or fraction of cases attributable to high temperatures), in order to manage the threat. PURPOSE: This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases. METHOD: The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90(th) percentile of maximum daily temperatures. Deaths were classified according to ICD-10 codes, and for each disease, the RR and attributable fractions were determined. Using these fractions, the total number of deaths attributable to daily maximum temperatures above the threshold value, from 1992 to 2009, was calculated. Data analyses were conducted in 2012–2013. RESULTS: Heat-attributable deaths accounted for 3,177 of the 271,633 deaths from all causes. Neurological (RR 1.07; 95% CI, 1.04–1.11) and mental and behavioral disorders (RR 1.04; 95% CI, 1.01–1.07) had relatively high increases in the RR of mortality. The most heat-sensitive diseases (those with the highest RRs) were not the diseases that caused the largest number of deaths attributable to high temperatures. CONCLUSION: This study estimated RRs and deaths attributable to high ambient temperature for a wide variety of diseases. Prevention-related policies must account for both particular vulnerabilities (heat-sensitive diseases with high RRs) and the major causes of the heat mortality burden (common conditions less sensitive to high temperatures). |
format | Online Article Text |
id | pubmed-4334895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43348952015-02-24 Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea Kim, Clara T. Lim, Youn-Hee Woodward, Alistair Kim, Ho PLoS One Research Article BACKGROUND: Climate change may significantly affect human health. The possible effects of high ambient temperature must be better understood, particularly in terms of certain diseases’ sensitivity to heat (as reflected in relative risks [RR]) and the consequent disease burden (number or fraction of cases attributable to high temperatures), in order to manage the threat. PURPOSE: This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases. METHOD: The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90(th) percentile of maximum daily temperatures. Deaths were classified according to ICD-10 codes, and for each disease, the RR and attributable fractions were determined. Using these fractions, the total number of deaths attributable to daily maximum temperatures above the threshold value, from 1992 to 2009, was calculated. Data analyses were conducted in 2012–2013. RESULTS: Heat-attributable deaths accounted for 3,177 of the 271,633 deaths from all causes. Neurological (RR 1.07; 95% CI, 1.04–1.11) and mental and behavioral disorders (RR 1.04; 95% CI, 1.01–1.07) had relatively high increases in the RR of mortality. The most heat-sensitive diseases (those with the highest RRs) were not the diseases that caused the largest number of deaths attributable to high temperatures. CONCLUSION: This study estimated RRs and deaths attributable to high ambient temperature for a wide variety of diseases. Prevention-related policies must account for both particular vulnerabilities (heat-sensitive diseases with high RRs) and the major causes of the heat mortality burden (common conditions less sensitive to high temperatures). Public Library of Science 2015-02-18 /pmc/articles/PMC4334895/ /pubmed/25692296 http://dx.doi.org/10.1371/journal.pone.0118577 Text en © 2015 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kim, Clara T. Lim, Youn-Hee Woodward, Alistair Kim, Ho Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title | Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title_full | Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title_fullStr | Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title_full_unstemmed | Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title_short | Heat-Attributable Deaths between 1992 and 2009 in Seoul, South Korea |
title_sort | heat-attributable deaths between 1992 and 2009 in seoul, south korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334895/ https://www.ncbi.nlm.nih.gov/pubmed/25692296 http://dx.doi.org/10.1371/journal.pone.0118577 |
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