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The Impact of High Apparent Temperature on the Increase of Summertime Disease-related Mortality in Seoul: 1991-2000  

Choi, Gwang-Yong (Department of Geography, Rutgers The State University of New Jersey)
Choi, Jong-Nam (Department of Geography, Western Illinois University)
Kwon, Ho-Jang (Department of Preventive Medicine, College of Medicine, Dankook University)
Publication Information
Journal of Preventive Medicine and Public Health / v.38, no.3, 2005 , pp. 283-290 More about this Journal
Abstract
Objectives : The aim of this paper was to examine the relationship between the summertime (June to August) heat index, which quantifies the bioclimatic apparent temperature in sultry weather, and the daily disease-related mortality in Seoul for the period from 1991 to 2000. Methods : The daily maximum (or minimum) summertime heat indices, which show synergetic apparent temperatures, were calculated from the six hourly temperatures and real time humidity data for Seoul from 1991 to 2000. The disease-related daily mortality was extracted with respect to types of disease, age and sex, etc. and compared with the time series of the daily heat indices. Results : The summertime mortality in 1994 exceeded the normal by 626 persons. Specifically, blood circulation-related and cancer-related mortalities increased in 1994 by 29.7% (224 persons) and 15.4% (107 persons), respectively, compared with those in 1993. Elderly persons, those above 65 years, were shown to be highly susceptible to strong heat waves, whereas the other age and sex-based groups showed no significant difference in mortality. In particular, a heat wave episode on the 22nd of July 2004 ($>45^{\circ}C$ daily heat index) resulted in double the normal number of mortalities after a lag time of 3 days. Specifically, blood circulation-related mortalities, such as cerebral infraction, were predominant causes. Overall, a critical mortality threshold was reached when the heat index exceeded approximately $37^{\circ}C$, which corresponds to human body temperature. A linear regression model based on the heat indices above $37^{\circ}C$, with a 3 day lag time, accounted for 63% of the abnormally increased mortality (${\geq}+2$ standard deviations). Conclusions : This study revealed that elderly persons, those over 65 years old, are more vulnerable to mortality due to abnormal heat waves in Seoul, Korea. When the daily maximum heat index exceeds approximately $37^{\circ}C$, blood circulation-related mortality significantly increases. A linear regression model, with respect to lag-time, showed that the heat index based on a human model is a more dependable indicator for the prediction of hot weather-related mortality than the ambient air temperature.
Keywords
Heat index; Heat waves; Mortality; Seoul;
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1 Tan J, Kalkstein LS, Huang J, Lin S, Yin H, Shao D, An operational heat/health warming system in Shanghai, Int J Biometeorol 2004; 48(3); 157-162   DOI   ScienceOn
2 Tromp SW, Biometeorology: the impact of the weather and climate on humans and their environment (animals and plants). London: Heyden; 1980; 54-87
3 NOAA, Heat stress. Asheville, NC; NOAA/NCDC, 1980
4 Choi G, Choi J, Kim JW, Son SW, The climatology of perceived sultriness in South Korea, J Kor Geogra S 2002; 37(4); 385-402 (Korean)
5 Hong YC, Leem JH, Ha EH, Christiani, CD, PM10 exposure, gaseous pollutants, and daily mortality in Incheon, South Korea, Enviror Health Pers 1999; 107; 873-878
6 Smoyer KE, A comparative analysis of heat waves and associated mortality in St. Louis, Missouri, 1980 and 1995, Int J Biometeorol 1998; 42(1); 44-50   DOI   PUBMED   ScienceOn
7 Piver WT, Ando M, Ye F, Portier CJ, Temperat ure and air pollution as risk factors for heat stroke in Tokyo, July and August 1980-1995, Envir Health Pers 1999; 107(11); 911-916   DOI   ScienceOn
8 Changnon SA, Kunkel KE, Reinke BC, Impacts and responses to the 1995 heat wave: a call to action,BAMS1996; 77(7); 1497-1506   DOI   ScienceOn
9 Lee JT, Kim H, Hong YC, Kwon HJ, Schwartz J, Christiani DC, Air pollution and daily mortality in seven major cities of Korea, 1991-1997, Envir Res [A] 2000; 84; 247-254
10 Kwon HJ, Cho SH, Air pollution and daily mortality in Seoul, Korean J Prev Med 1999; 32(2); 191-199 (Korean)
11 Sheridan SC, Kalkstein LS, Progress in heat watch-warning system technology, BAMS 2005; 85(12); 1931-1941   DOI   ScienceOn
12 Sung J, Kim H, Cho SH, Summertime heat waves and ozone: an interaction on cardiopulmonary mortality? - Based on the 1994 heat wave in Korea, Korean J Prev Med 2001; 34(4); 316-322 (Korean)
13 Robinson PJ, On the definition of a heat wave, J App Meteorol 2001; 40; 762-775   DOI   ScienceOn
14 Lee JT, Shin D, Chung Y, Air pollution, daily mortality in Seoul and Ulsan, Korea, Enviror Health Pers 1999; 107; 149-154   DOI   ScienceOn
15 United Nations Environmental Programs (UNEP), Impacts of summer 2003 heat wave in Europe, A series of Early Warning on Emerging Environmental Threats 2004; 1-3
16 Nakai S, Itoh T, Morimoto T, Deaths from heat stroke in Japan: 1968-1994, Int J biometeorol 1999; 43(3); 124-127
17 Kim H, Kim Y, Hong YC, The lag-effect pattern in the relationship of particulate air pollution to daily mortality in Seoul, Korea, Int J Biometeorol 2003; 48(1); 25-30   DOI   ScienceOn
18 환경부, 한반도 기후변화 영향평가 및 적응 프로그램 마련-기후변화로 인한 건강 피해 가능성 조사 및 피해 저감 정책 방향에 관한 연구, NO.11-1480000-000685-01; 2003; (119-131)
19 Rothfusz LP, The heat index equation (or more than you ever wanted to know about heat index), NWS Southern Region Technical Attachment, 1990; SR/SSD-90-23, F0ort Worth, TX; 1-2