Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea
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 a...
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description | 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.
This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases.
The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90th 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.
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.
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). |
doi_str_mv | 10.1371/journal.pone.0118577 |
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This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases.
The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90th 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.
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.
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).</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0118577</identifier><identifier>PMID: 25692296</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Ambient temperature ; Analysis ; Asthma ; Cause of Death ; Climate change ; Daily temperatures ; Data processing ; Diseases ; Epidemiology ; Fatalities ; Health risks ; Heat ; Heat Stress Disorders - mortality ; High temperature ; High temperatures ; Hot Temperature - adverse effects ; Humans ; Investigations ; Linear Models ; Maximum temperatures ; Mental Disorders - etiology ; Mental Disorders - mortality ; Mortality ; Nervous System Diseases - etiology ; Nervous System Diseases - mortality ; Preventive medicine ; Republic of Korea - epidemiology ; Risk assessment ; Statistical models ; Temperature effects ; Urban Population - statistics & numerical data</subject><ispartof>PloS one, 2015-02, Vol.10 (2), p.e0118577-e0118577</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Kim et al 2015 Kim et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-173d4303456f13623944c62e8037eff7c0f9b682e0e368826244f36965feccc23</citedby><cites>FETCH-LOGICAL-c758t-173d4303456f13623944c62e8037eff7c0f9b682e0e368826244f36965feccc23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334895/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334895/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25692296$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chowell, Gerardo</contributor><creatorcontrib>Kim, Clara T</creatorcontrib><creatorcontrib>Lim, Youn-Hee</creatorcontrib><creatorcontrib>Woodward, Alistair</creatorcontrib><creatorcontrib>Kim, Ho</creatorcontrib><title>Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases.
The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90th 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.
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.
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).</description><subject>Ambient temperature</subject><subject>Analysis</subject><subject>Asthma</subject><subject>Cause of Death</subject><subject>Climate change</subject><subject>Daily temperatures</subject><subject>Data processing</subject><subject>Diseases</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Health risks</subject><subject>Heat</subject><subject>Heat Stress Disorders - mortality</subject><subject>High temperature</subject><subject>High temperatures</subject><subject>Hot Temperature - adverse effects</subject><subject>Humans</subject><subject>Investigations</subject><subject>Linear Models</subject><subject>Maximum temperatures</subject><subject>Mental Disorders - etiology</subject><subject>Mental Disorders - mortality</subject><subject>Mortality</subject><subject>Nervous System Diseases - etiology</subject><subject>Nervous System Diseases - mortality</subject><subject>Preventive medicine</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk assessment</subject><subject>Statistical models</subject><subject>Temperature effects</subject><subject>Urban Population - statistics & numerical data</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkltrFDEUxwdRbK1-A9EBQRTcNfeZvAilXrpYKLjqa8hkzuymZCdrkvHy7c12p2VH-iDzkOHkd_7nkn9RPMVojmmF3175IfTazbe-hznCuOZVda84xpKSmSCI3j_4PyoexXiFEKe1EA-LI8KFJESK4-L9Oeg00ykF2wxJNw7KNkfWsWwg_QLoSywlKXXflgQhWdq-XIIf3Jty6Ye0Lj_7APpx8aDTLsKT8Twpvn388PXsfHZx-WlxdnoxMxWv0wxXtGUUUcZFh6kgVDJmBIEa0Qq6rjKok42oCSCgoq6JIIx1VEjBOzDGEHpSPN_rbp2PalxAVFhwgTjKRyYWe6L1-kptg93o8Ed5bdV1wIeV0iFZ40AZYXJxI3jTNAyBkVho2koNkPtCosla78ZqQ7OB1kCfgnYT0elNb9dq5X8qRimr5a6ZV6NA8D8GiEltbDTgnO7zCq_7riipGN9N9uIf9O7pRmql8wC273yua3ai6pTldXJMmcjU_A4qfy1srMlu6WyOTxJeTxIyk-B3WukhRrVYfvl_9vL7lH15wK5Bu-wr74ZkfR-nINuDJvgYA3S3S8ZI7cx-sw21M7sazZ7Tnh0-0G3SjbvpX5889YE</recordid><startdate>20150218</startdate><enddate>20150218</enddate><creator>Kim, Clara T</creator><creator>Lim, Youn-Hee</creator><creator>Woodward, Alistair</creator><creator>Kim, Ho</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150218</creationdate><title>Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea</title><author>Kim, Clara T ; Lim, Youn-Hee ; Woodward, Alistair ; Kim, Ho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-173d4303456f13623944c62e8037eff7c0f9b682e0e368826244f36965feccc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Ambient temperature</topic><topic>Analysis</topic><topic>Asthma</topic><topic>Cause of Death</topic><topic>Climate change</topic><topic>Daily temperatures</topic><topic>Data processing</topic><topic>Diseases</topic><topic>Epidemiology</topic><topic>Fatalities</topic><topic>Health risks</topic><topic>Heat</topic><topic>Heat Stress Disorders - mortality</topic><topic>High temperature</topic><topic>High temperatures</topic><topic>Hot Temperature - adverse effects</topic><topic>Humans</topic><topic>Investigations</topic><topic>Linear Models</topic><topic>Maximum temperatures</topic><topic>Mental Disorders - etiology</topic><topic>Mental Disorders - mortality</topic><topic>Mortality</topic><topic>Nervous System Diseases - etiology</topic><topic>Nervous System Diseases - mortality</topic><topic>Preventive medicine</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk assessment</topic><topic>Statistical models</topic><topic>Temperature effects</topic><topic>Urban Population - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Clara T</creatorcontrib><creatorcontrib>Lim, Youn-Hee</creatorcontrib><creatorcontrib>Woodward, Alistair</creatorcontrib><creatorcontrib>Kim, Ho</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Clara T</au><au>Lim, Youn-Hee</au><au>Woodward, Alistair</au><au>Kim, Ho</au><au>Chowell, Gerardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-02-18</date><risdate>2015</risdate><volume>10</volume><issue>2</issue><spage>e0118577</spage><epage>e0118577</epage><pages>e0118577-e0118577</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
This study investigated the number of deaths attributable to abnormally high ambient temperatures in Seoul, South Korea, for a wide range of diseases.
The relationship between mortality and daily maximum temperature using a generalized linear model was analyzed. The threshold temperature was defined as the 90th 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.
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.
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).</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25692296</pmid><doi>10.1371/journal.pone.0118577</doi><oa>free_for_read</oa></addata></record> |
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subjects | Ambient temperature Analysis Asthma Cause of Death Climate change Daily temperatures Data processing Diseases Epidemiology Fatalities Health risks Heat Heat Stress Disorders - mortality High temperature High temperatures Hot Temperature - adverse effects Humans Investigations Linear Models Maximum temperatures Mental Disorders - etiology Mental Disorders - mortality Mortality Nervous System Diseases - etiology Nervous System Diseases - mortality Preventive medicine Republic of Korea - epidemiology Risk assessment Statistical models Temperature effects Urban Population - statistics & numerical data |
title | Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea |
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