Vulnerabilities to Temperature Effects on Acute Myocardial Infarction Hospital Admissions in South Korea
Bo Yeon Kwon,
Eunil Lee,
Suji Lee,
Seulkee Heo,
Kyunghee Jo,
Jinsun Kim and
Man Sik Park
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Bo Yeon Kwon: Department of Public Health, Graduate School, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Eunil Lee: Department of Preventive Medicine, College of Medicine, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Suji Lee: Department of Preventive Medicine, College of Medicine, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Seulkee Heo: Department of Public Health, Graduate School, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Kyunghee Jo: Graduate School of Public Health, Graduate School, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Jinsun Kim: Graduate School of Public Health, Graduate School, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea
Man Sik Park: Department of Statistics, College of Natural Science, Sungshin Women’s University, 249-1, Dongseon-dong 3-ga, Seongbuk-gu, Seoul 02844, Korea
IJERPH, 2015, vol. 12, issue 11, 1-18
Abstract:
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: myocardial infarction; hospital admissions; temperature; socioeconomic status; Medicaid; gender; age (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)
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