Excess mortality related to high air temperature: Comparison of the periods including 1994 and 2018, the worst heat waves in the history of South Korea
Climate change has caused extreme weather events, including frequent summer heat waves. We examined how the effects of high air temperatures on mortality have changed between the two study periods (1991-1995 and 2015-2019), including 1994 and 2018, the worst heat wave years in the meteorological his...
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description | Climate change has caused extreme weather events, including frequent summer heat waves. We examined how the effects of high air temperatures on mortality have changed between the two study periods (1991-1995 and 2015-2019), including 1994 and 2018, the worst heat wave years in the meteorological history of South Korea. Temperature data from the Korea Meteorological Administration and mortality data from Statistics Korea were used in this study. We used distributed lag nonlinear models to estimate the cumulative relative risks (CRRs) to determine the association between daily maximum temperature in summer (June to September) and mortality. CRRs were estimated for each province and pooled using a random-effects meta-analysis for all provinces. Maximum temperature and annual average days in heat wave were 37.7°C and 11.8 in 1991-1995 and 38.3°C and 18.8 in 2015-2019. The slope of the CRR for mortality increases with increasing temperature and has been steeper in the past than in recent years and steeper in those over 65 than in those under 65. Excess mortality has recently declined compared with that in the past. The impact of high summer temperatures on mortality changed between the two periods, suggesting improved population resilience. |
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We examined how the effects of high air temperatures on mortality have changed between the two study periods (1991-1995 and 2015-2019), including 1994 and 2018, the worst heat wave years in the meteorological history of South Korea. Temperature data from the Korea Meteorological Administration and mortality data from Statistics Korea were used in this study. We used distributed lag nonlinear models to estimate the cumulative relative risks (CRRs) to determine the association between daily maximum temperature in summer (June to September) and mortality. CRRs were estimated for each province and pooled using a random-effects meta-analysis for all provinces. Maximum temperature and annual average days in heat wave were 37.7°C and 11.8 in 1991-1995 and 38.3°C and 18.8 in 2015-2019. The slope of the CRR for mortality increases with increasing temperature and has been steeper in the past than in recent years and steeper in those over 65 than in those under 65. Excess mortality has recently declined compared with that in the past. The impact of high summer temperatures on mortality changed between the two periods, suggesting improved population resilience.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0310797</identifier><identifier>PMID: 39535993</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age groups ; Aged ; Air temperature ; Biology and Life Sciences ; Causes of ; Climate Change ; Daily temperatures ; Earth Sciences ; Engineering and Technology ; Environmental aspects ; Evaluation ; Extreme weather ; Global warming ; Greenhouse gases ; Health aspects ; Heat ; Heat waves ; High temperature ; Hot Temperature - adverse effects ; Hot weather ; Humans ; Humidity ; Influence ; Maximum temperatures ; Medicine and Health Sciences ; Meta-analysis ; Mortality ; Mortality - history ; Mortality - trends ; Nitrogen dioxide ; People and places ; Physical Sciences ; Population decline ; Public health ; Republic of Korea - epidemiology ; Research and Analysis Methods ; Risk assessment ; Seasons ; Social change ; Social Sciences ; South Korea ; Statistical analysis ; Summer ; Summer temperatures ; Temperature ; Temperature data ; Temperature effects ; Weather</subject><ispartof>PloS one, 2024-11, Vol.19 (11), p.e0310797</ispartof><rights>Copyright: © 2024 Choi et al. 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 credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Choi 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>2024 Choi et al 2024 Choi et al</rights><rights>2024 Choi 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. 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We examined how the effects of high air temperatures on mortality have changed between the two study periods (1991-1995 and 2015-2019), including 1994 and 2018, the worst heat wave years in the meteorological history of South Korea. Temperature data from the Korea Meteorological Administration and mortality data from Statistics Korea were used in this study. We used distributed lag nonlinear models to estimate the cumulative relative risks (CRRs) to determine the association between daily maximum temperature in summer (June to September) and mortality. CRRs were estimated for each province and pooled using a random-effects meta-analysis for all provinces. Maximum temperature and annual average days in heat wave were 37.7°C and 11.8 in 1991-1995 and 38.3°C and 18.8 in 2015-2019. The slope of the CRR for mortality increases with increasing temperature and has been steeper in the past than in recent years and steeper in those over 65 than in those under 65. Excess mortality has recently declined compared with that in the past. 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We examined how the effects of high air temperatures on mortality have changed between the two study periods (1991-1995 and 2015-2019), including 1994 and 2018, the worst heat wave years in the meteorological history of South Korea. Temperature data from the Korea Meteorological Administration and mortality data from Statistics Korea were used in this study. We used distributed lag nonlinear models to estimate the cumulative relative risks (CRRs) to determine the association between daily maximum temperature in summer (June to September) and mortality. CRRs were estimated for each province and pooled using a random-effects meta-analysis for all provinces. Maximum temperature and annual average days in heat wave were 37.7°C and 11.8 in 1991-1995 and 38.3°C and 18.8 in 2015-2019. The slope of the CRR for mortality increases with increasing temperature and has been steeper in the past than in recent years and steeper in those over 65 than in those under 65. Excess mortality has recently declined compared with that in the past. The impact of high summer temperatures on mortality changed between the two periods, suggesting improved population resilience.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39535993</pmid><doi>10.1371/journal.pone.0310797</doi><tpages>e0310797</tpages><orcidid>https://orcid.org/0000-0002-8661-493X</orcidid><orcidid>https://orcid.org/0000-0003-3029-5674</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age groups Aged Air temperature Biology and Life Sciences Causes of Climate Change Daily temperatures Earth Sciences Engineering and Technology Environmental aspects Evaluation Extreme weather Global warming Greenhouse gases Health aspects Heat Heat waves High temperature Hot Temperature - adverse effects Hot weather Humans Humidity Influence Maximum temperatures Medicine and Health Sciences Meta-analysis Mortality Mortality - history Mortality - trends Nitrogen dioxide People and places Physical Sciences Population decline Public health Republic of Korea - epidemiology Research and Analysis Methods Risk assessment Seasons Social change Social Sciences South Korea Statistical analysis Summer Summer temperatures Temperature Temperature data Temperature effects Weather |
title | Excess mortality related to high air temperature: Comparison of the periods including 1994 and 2018, the worst heat waves in the history of South Korea |
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