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Original Article
- 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
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- 29 Crossref
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Abstract
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.
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Summary
Citations
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Comparative Study- The Impact of High Apparent Temperature on the Increase of Summertime Disease-related Mortality in Seoul: 1991-2000.
- Gwang yong Choi, Jong nam Choi, Ho Jang Kwon
- J Prev Med Public Health. 2005;38(3):283-290.
- 2,084 View
- 67 Download
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Abstract
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- OBJECTIVE
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 degree 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 degrees C, which corresponds to human body temperature. A linear regression model based on the heat indices above 37 degrees C, with a 3 day lag time, accounted for 63% of the abnormally increased mortality (> or = +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 degrees 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 weatherrelated mortality than the ambient air temperature. -
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