Vulnerabilities to Temperature Effects on Acute Myocardial Infarction Hospital Admissions in South Korea

Int J Environ Res Public Health. 2015 Nov 13;12(11):14571-88. doi: 10.3390/ijerph121114571.


Most previous studies have focused on the association between acute myocardial function (AMI) and temperature by gender and age. Recently, however, concern has also arisen about those most susceptible to the effects of temperature according to socioeconomic status (SES). The objective of this study was to determine the effect of heat and cold on hospital admissions for AMI by subpopulations (gender, age, living area, and individual SES) in South Korea. The Korea National Health Insurance (KNHI) database was used to examine the effect of heat and cold on hospital admissions for AMI during 2004-2012. We analyzed the increase in AMI hospital admissions both above and below a threshold temperature using Poisson generalized additive models (GAMs) for hot, cold, and warm weather. The Medicaid group, the lowest SES group, had a significantly higher RR of 1.37 (95% CI: 1.07-1.76) for heat and 1.11 (95% CI: 1.04-1.20) for cold among subgroups, while also showing distinctly higher risk curves than NHI for both hot and cold weather. In additions, females, older age group, and those living in urban areas had higher risks from hot and cold temperatures than males, younger age group, and those living in rural areas.

Keywords: Medicaid; age; gender; hospital admissions; myocardial infarction; socioeconomic status; temperature.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cold Temperature*
  • Female
  • Hospitalization / statistics & numerical data*
  • Hot Temperature*
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology
  • Myocardial Infarction / therapy*
  • Poisson Distribution
  • Republic of Korea / epidemiology
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Seasons
  • Sex Factors
  • Social Class*
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data*
  • Young Adult