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KMID : 0338420100250020174
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The Korean Journal of Internal Medicine
2010 Volume.25 No. 2 p.174 ~ p.180
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Variable Association between Components of the Metabolic Syndrome and Electrocardiographic Abnormalities in Korean Adults
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Kim Hong-Kyu
Kim Chul-Hee
Ko Kwan-Ho
Park Seong-Wook
Park Joong-Yeol
Lee Ki-Up
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Abstract
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Background/Aims: Resting electrocardiogram (ECG) abnormalities have been strongly associated with cardiovascular disease mortality. Little is known, however, about the association between individual components of metabolic syndrome and ECG abnormalities, especially in Asian populations.
Methods: We examined clinical and laboratory data from 31,399 subjects (age 20 to 89 years) who underwent medical check-ups. ECG abnormalities were divided into minor and major abnormalities based on Novacode criteria. Ischemic ECG findings were separately identified and analyzed.
Results: The overall prevalence rates of ECG abnormalities were significantly higher in subjects with than in those without metabolic syndrome (p < 0.01). Ischemic ECG was strongly associated with metabolic syndrome in all age groups of both sexes, except for younger women. In multiple logistic regression analysis, metabolic syndrome was independently associated with ischemic ECG (odds ratio, 2.30 [2.04 to 2.62]; p < 0.01), after adjusting for sex, age, smoking, and family history of cardiovascular disease. Of the metabolic syndrome components, hyperglycemia in younger subjects and hypertension in elderly subjects were major factors for ischemic ECG changes, whereas hypertriglyceridemia was not an independent risk factor in any age group. The association between ischemic ECG findings and central obesity was weaker in women than in men.
Conclusions: Metabolic syndrome was strongly associated with ECG abnormalities, especially ischemic ECG findings, in Koreans. The association between each component of metabolic syndrome and ECG abnormalities varied according to age and sex.
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KEYWORD
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Cardiovascular abnormalities, Electrocardiography, Korea, Metabolic syndrome X
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