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Kyung Eun Lee 3 Articles
Socio-demographic Characteristics and Leading Causes of Death Among the Casualties of Meteorological Events Compared With All-cause Deaths in Korea, 2000-2011
Kyung Eun Lee, Hyung-Nam Myung, Wonwoong Na, Jae-Yeon Jang
J Prev Med Public Health. 2013;46(5):261-270.   Published online September 30, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.5.261
  • 9,858 View
  • 66 Download
  • 5 Crossref
AbstractAbstract PDF
Objectives

This study investigated the socio-demographic characteristics and medical causes of death among meteorological disaster casualties and compared them with deaths from all causes.

Methods

Based on the death data provided by the National Statistical Office from 2000 to 2011, the authors analyzed the gender, age, and region of 709 casualties whose external causes were recorded as natural events (X330-X389). Exact matching was applied to compare between deaths from meteorological disasters and all deaths.

Results

The total number of deaths for last 12 years was 2 728 505. After exact matching, 642 casualties of meteorological disasters were matched to 6815 all-cause deaths, which were defined as general deaths. The mean age of the meteorological disaster casualties was 51.56, which was lower than that of the general deaths by 17.02 (p<0.001). As for the gender ratio, 62.34% of the meteorological event casualties were male. While 54.09% of the matched all-cause deaths occurred at a medical institution, only 7.6% of casualties from meteorological events did. As for occupation, the rate of those working in agriculture, forestry, and fishery jobs was twice as high in the casualties from meteorological disasters as that in the general deaths (p<0.001). Meteorological disaster-related injuries like drowning were more prevalent in the casualties of meteorological events (57.48%). The rate of amputation and crushing injury in deaths from meteorological disasters was three times as high as in the general deaths.

Conclusions

The new information gained on the particular characteristics contributing to casualties from meteorological events will be useful for developing prevention policies.

Summary

Citations

Citations to this article as recorded by  
  • Research Trends in Agenda-setting for Climate Change Adaptation Policy in the Public Health Sector in Korea
    Su-Mi Chae, Daeeun Kim
    Journal of Preventive Medicine and Public Health.2020; 53(1): 3.     CrossRef
  • Effect of typhoons on the Korean national emergency medical service system
    Soo Hyun Park, Won Chul Cha, Giwoon Kim, Tae Rim Lee, Sung Yeon Hwang, Tae Gun Shin, Min Seob Sim, Ik Joon Jo
    Clinical and Experimental Emergency Medicine.2018; 5(4): 272.     CrossRef
  • The Vulnerability of People to Damaging Hydrogeological Events in the Calabria Region (Southern Italy)
    Olga Petrucci, Paola Salvati, Luigi Aceto, Cinzia Bianchi, Angela Pasqua, Mauro Rossi, Fausto Guzzetti
    International Journal of Environmental Research and Public Health.2017; 15(1): 48.     CrossRef
  • Analysis of damaging hydrogeological events in a Mediterranean region (Calabria)
    Luigi Aceto, Tommaso Caloiero, A.A. Pasqua, Olga Petrucci
    Journal of Hydrology.2016; 541: 510.     CrossRef
  • Disaster epidemiology in Korea
    Ju Ok Park
    Journal of the Korean Medical Association.2014; 57(12): 993.     CrossRef
The Effects of Temperature on Heat-related Illness According to the Characteristics of Patients During the Summer of 2012 in the Republic of Korea
Wonwoong Na, Jae-Yeon Jang, Kyung Eun Lee, Hyunyoung Kim, Byungyool Jun, Jun-Wook Kwon, Soo-Nam Jo
J Prev Med Public Health. 2013;46(1):19-27.   Published online January 31, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.1.19
  • 11,339 View
  • 116 Download
  • 29 Crossref
AbstractAbstract PDF
Objectives

This study was conducted to investigate the relationship between heat-related illnesses developed in the summer of 2012 and temperature.

Methods

The study analyzed data generated by a heat wave surveillance system operated by the Korea Centers for Disease Control and Prevention during the summer of 2012. The daily maximum temperature, average temperature, and maximum heat index were compared to identify the most suitable index for this study. A piecewise linear model was used to identify the threshold temperature and the relative risk (RR) above the threshold temperature according to patient characteristics and region.

Results

The total number of patients during the 3 months was 975. Of the three temperature indicators, the daily maximum temperature showed the best goodness of fit with the model. The RR of the total patient incidence was 1.691 (1.641 to 1.743) per 1℃ after 31.2℃. The RR above the threshold temperature of women (1.822, 1.716 to 1.934) was greater than that of men (1.643, 1.587 to 1.701). The threshold temperature was the lowest in the age group of 20 to 64 (30.4℃), and the RR was the highest in the ≥65 age group (1.863, 1.755 to 1.978). The threshold temperature of the provinces (30.5℃) was lower than that of the metropolitan cities (32.2℃). Metropolitan cities at higher latitudes had a greater RR than other cities at lower latitudes.

Conclusions

The influences of temperature on heat-related illnesses vary according to gender, age, and region. A surveillance system and public health program should reflect these factors in their implementation.

Summary

Citations

Citations to this article as recorded by  
  • Adaptation behaviors modify the effects of body fat on heat-related symptoms among Taiwanese elderly
    Chi-Hsien Chen, Wen-Yi Lin, Kang-Yun Lee, Wen-Jung Sun, Li-Ying Huang, Yue-Liang Leon Guo
    International Journal of Hygiene and Environmental Health.2024; 255: 114296.     CrossRef
  • Analysis of Urban Heat Island Effect, Heat Stress and Public Health in Colombo, Sri Lanka and Shenzhen, China
    Srimalee Nanayakkara, Weimin Wang, Jie Cao, Jia Wang, Weiqi Zhou
    Atmosphere.2023; 14(5): 839.     CrossRef
  • Outdoor Microclimate in Courtyard Buildings: Impact of Building Perimeter Configuration and Tree Density
    Lia Marchi, Jacopo Gaspari, Kristian Fabbri
    Buildings.2023; 13(11): 2687.     CrossRef
  • Real-World Evidence for the Association between Heat-Related Illness and the Risk of Psychiatric Disorders in Taiwan
    Fang-Ling Li, Wu-Chien Chien, Chi-Hsiang Chung, Chung-Yu Lai, Nian-Sheng Tzeng
    International Journal of Environmental Research and Public Health.2022; 19(13): 8087.     CrossRef
  • Heat Exposure, Heat-Related Symptoms and Coping Strategies among Elderly Residents of Urban Slums and Rural Vilages in West Bengal, India
    Barun Mukhopadhyay, Charles A. Weitz
    International Journal of Environmental Research and Public Health.2022; 19(19): 12446.     CrossRef
  • The Development of New Generation of Manikin for Outdoor Thermal Comfort Evaluation – A Literature Review
    R Kelundapyan, M A Zakaria, V C Segaran
    IOP Conference Series: Materials Science and Engineering.2021; 1144(1): 012026.     CrossRef
  • Probabilistic Heat Wave Forecast Based on a Large-Scale Circulation Pattern Using the TIGGE Data
    Hyun-Ju Lee, Woo-Seop Lee, Jong Ahn Chun, Hwa Woon Lee
    Weather and Forecasting.2020; 35(2): 367.     CrossRef
  • Research Trends in Agenda-setting for Climate Change Adaptation Policy in the Public Health Sector in Korea
    Su-Mi Chae, Daeeun Kim
    Journal of Preventive Medicine and Public Health.2020; 53(1): 3.     CrossRef
  • Risk of heat illness in men and women: A systematic review and meta-analysis
    Robert M. Gifford, T. Todisco, M. Stacey, T. Fujisawa, M. Allerhand, D.R. Woods, R.M. Reynolds
    Environmental Research.2019; 171: 24.     CrossRef
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    Guozhong Zheng, Ke Li, Wentao Bu, Yajing Wang
    Building and Environment.2019; 150: 108.     CrossRef
  • The Effects of High-Temperature Weather on Human Sleep Quality and Appetite
    Guozhong Zheng, Ke Li, Yajing Wang
    International Journal of Environmental Research and Public Health.2019; 16(2): 270.     CrossRef
  • Tens of thousands additional deaths annually in cities of China between 1.5 °C and 2.0 °C warming
    Yanjun Wang, Anqian Wang, Jianqing Zhai, Hui Tao, Tong Jiang, Buda Su, Jun Yang, Guojie Wang, Qiyong Liu, Chao Gao, Zbigniew W. Kundzewicz, Mingjin Zhan, Zhiqiang Feng, Thomas Fischer
    Nature Communications.2019;[Epub]     CrossRef
  • Estimation of heat-related deaths during heat wave episodes in South Korea (2006–2017)
    Youn-Hee Lim, Kyung-Shin Lee, Hyun-Joo Bae, Dowoo Kim, Hyosoon Yoo, Sungwoo Park, Yun-Chul Hong
    International Journal of Biometeorology.2019; 63(12): 1621.     CrossRef
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    Mehdi Asghari, Gholamheidar Teimori, Marzieh Abbasinia, Fahimeh Shakeri, Reza Tajik, Mohammad Javad Ghannadzadeh, Gholamabbas Fallah Ghalhari
    Weather.2019;[Epub]     CrossRef
  • Anthropometry-based estimation of body heat capacity in individuals aged 7–69 years: the Size Korea Survey 2010
    Duong Duc Pham, Jeong Hoon Lee, Ka Yul Kim, Ji Yeon Song, Ji Eun Kim, Chae Hun Leem
    Scientific Reports.2018;[Epub]     CrossRef
  • Effect of Socioeconomic Status and Underlying Disease on the Association between Ambient Temperature and Ischemic Stroke
    Seong-Kyung Cho, Jungwoo Sohn, Jaelim Cho, Juhwan Noh, Kyoung Hwa Ha, Yoon Jung Choi, Sangjoon Pae, Changsoo Kim, Dong Chun Shin
    Yonsei Medical Journal.2018; 59(5): 686.     CrossRef
  • Heatwave and health impact research: A global review
    Sharon Campbell, Tomas A. Remenyi, Christopher J. White, Fay H. Johnston
    Health & Place.2018; 53: 210.     CrossRef
  • Short-term effect of heat waves on hospital admissions in Madrid: Analysis by gender and comparision with previous findings
    J. Díaz, I.A. López, R. Carmona, I.J. Mirón, M.Y. Luna, C. Linares
    Environmental Pollution.2018; 243: 1648.     CrossRef
  • Factors affecting heat-related diseases in outdoor workers exposed to extreme heat
    Jungsun Park, Yangho Kim, Inbo Oh
    Annals of Occupational and Environmental Medicine.2017;[Epub]     CrossRef
  • Current and Projected Burden of Disease From High Ambient Temperature in Korea
    Soo Eun Chung, Hae-Kwan Cheong, Jae-Hyun Park, Jong-Hun Kim, Hyunjin Han
    Epidemiology.2017; 28: S98.     CrossRef
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    Shaohua Gu, Cunrui Huang, Li Bai, Cordia Chu, Qiyong Liu
    International Journal of Biometeorology.2016; 60(1): 131.     CrossRef
  • A spatial analysis of heat stress related emergency room visits in rural Southern Ontario during heat waves
    Katherine E. Bishop-Williams, Olaf Berke, David L. Pearl, David F. Kelton
    BMC Emergency Medicine.2015;[Epub]     CrossRef
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    Duong Duc Pham, Chae Hun Leem
    Integrative Medicine Research.2015; 4(4): 189.     CrossRef
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    Natale Daniele Brunetti, Daniele Amoruso, Luisa De Gennaro, Giulia Dellegrottaglie, Giuseppe Di Giuseppe, Gianfranco Antonelli, Matteo Di Biase
    Telemedicine and e-Health.2014; 20(3): 272.     CrossRef
  • The effects of summer temperature and heat waves on heat-related illness in a coastal city of China, 2011–2013
    Li Bai, Gangqiang Ding, Shaohua Gu, Peng Bi, Buda Su, Dahe Qin, Guozhang Xu, Qiyong Liu
    Environmental Research.2014; 132: 212.     CrossRef
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    Xian Wu, Joanne E Brady, Henry Rosenberg, Guohua Li
    Injury Epidemiology.2014;[Epub]     CrossRef
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    Environmental Research.2014; 133: 246.     CrossRef
  • Short-Term Effect of Temperature on Daily Emergency Visits for Acute Myocardial Infarction with Threshold Temperatures
    Suji Lee, Eunil Lee, Man Sik Park, Bo Yeon Kwon, Hana Kim, Dea Ho Jung, Kyung Hee Jo, Myung Ho Jeong, Seung-Woon Rha, Qinghua Sun
    PLoS ONE.2014; 9(4): e94070.     CrossRef
  • An investigation into future performance and overheating risks in Passivhaus dwellings
    Robert S. McLeod, Christina J. Hopfe, Alan Kwan
    Building and Environment.2013; 70: 189.     CrossRef
A Cross-Sectional Study on gamma-GTP and its Related Factors in Male Workers.
Keon Yeop Kim, Sin Kam, Jong Hyun Lee, Young Ae Ha, Kyung Eun Lee
Korean J Prev Med. 2002;35(2):169-174.
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AbstractAbstract PDF
OBJECTIVE
To investigate gamma-Glutamyltransferase (gamma-GTP) and its related factors in male industrial workers. METHOD: Five hundred and forty male workers without heart disease, diabetes mellitus, renal disease, hepatitis, and other liver diseases were surveyed in October 1998. Blood samples were collected to test for gamma-GTP, total-cholesterol and fasting blood glucose. A self-administered questionnaire survey on life style was also done. RESULTS: The total geometric mean value of gamma-GTP was 30.6 U/L. According to a univariate analysis: age, BMI(body mass index, kg/m2), alcohol consumption, current smoking, stress, diastolic blood pressure, and blood total cholesterol were significantly associated with gamma-GTP(p<0.05). From a multiple regression analysis: BMI, alcohol consumption, current smoking, diastolic blood pressure and total-cholesterol were significantly related to gamma-GTP(p<0.05). Coffee consumption was negatively related to gamma-GTP, but not significantly. CONCLUSION: We recommend that a change in health behavior (i.e. reducing alcohol intake, controlling BMI and not smoking) is necessary to decrease gamma-GTP in male workers.
Summary

JPMPH : Journal of Preventive Medicine and Public Health