J Prev Med Public Health.  2013 Jan;46(1):19-27.

The Effects of Temperature on Heat-related Illness According to the Characteristics of Patients During the Summer of 2012 in the Republic of Korea

Affiliations
  • 1Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.
  • 2Korea Centers for Disease Control and Prevention, Cheongwon, Korea. joria517@gmail.com

Abstract


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 1degrees C after 31.2degrees C. 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 (30.4degrees C), and the RR was the highest in the > or =65 age group (1.863, 1.755 to 1.978). The threshold temperature of the provinces (30.5degrees C) was lower than that of the metropolitan cities (32.2degrees C). 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.

Keyword

Extreme heat; Heat waves; Heat stress disorders; Heat stroke; Republic of Korea; Threshold

MeSH Terms

Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Child
Child, Preschool
Cities
Female
Heat Stroke/*epidemiology
Humans
Incidence
Linear Models
Male
Middle Aged
Patients/*statistics & numerical data
Republic of Korea/epidemiology
Seasons
Sex Factors
Temperature
Young Adult
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