- Comparison of the Predictability of Cardiovascular Disease Risk According to Different Metabolic Syndrome Criteria of American Heart Association/National Heart, Lung, and Blood Institute and International Diabetes Federation in Korean Men.
-
Do Young Lee, Eun Jung Rhee, Eun Suk Choi, Ji Hoon Kim, Jong Chul Won, Cheol Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
-
Korean Diabetes J. 2008;32(4):317-327. Published online August 1, 2008
-
DOI: https://doi.org/10.4093/kdj.2008.32.4.317
-
-
2,914
View
-
22
Download
-
7
Crossref
-
Abstract
PDF
- BACKGROUND
We compared the prevalences of two criteria of metabolic syndrome, that is, American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and International Diabetes Federation (IDF), in Korean male adults and compared the predictability of insulin resistance and future cardiovascular diseases using Framingham Risk Score. METHODS: In total 23,467 male adults (mean age 43.3 years) who participated in medical check-up in 2005, the prevalences of metabolic syndrome according to AHA/NHLBI and IDF criteria and the presence of insulin resistance, defined by the highest quartile of Homeostasis Model Assessment of insulin resistance index (HOMA-IR), were compared. The relative risk (calculated risk/average risk) for 10-year risk for coronary artery disease (CHD) assessed by Framingham Risk Score were compared. RESULTS: 5.8% of the subjects had diabetes mellitus. 20.7% and 13.2%of the subjects had metabolic syndrome defined by AHA/NHLBI and IDF criteria, and the two criteria showed high agreement with kappa value of 0.737 (P < 0.01). More subjects in IDF-defined group had insulin resistance compared with AHA/NHLBI definition (59.8 vs. 54%, P < 0.01). The odds ratio for increased relative risk (> 1.0) for 10-year CHD were higher in AHA/NHLBI-defined subjects compared with IDF-defined subject (3.295 vs. 3.082). The Kappa values for the analysis of agreement between each criteria and prediction of insulin resistance or cardiovascular disease risk, were too low for comparison. CONCLUSION: In Korean males, the prevalence for metabolic syndrome defined by AHA/NHLBI criteria was higher than those defined by IDF criteria. IDF criteria detected more subjects with insulin resistance, but didn't have better predictability for CHD compared with AHA/NHLBI criteria.
-
Citations
Citations to this article as recorded by
- Attention Aware Deep Learning Approaches for an Efficient Stress Classification Model
Muhammad Zulqarnain, Habib Shah, Rozaida Ghazali, Omar Alqahtani, Rubab Sheikh, Muhammad Asadullah Brain Sciences.2023; 13(7): 994. CrossRef - Statistics and Deep Belief Network-Based Cardiovascular Risk Prediction
Jaekwon Kim, Ungu Kang, Youngho Lee Healthcare Informatics Research.2017; 23(3): 169. CrossRef - Relationship between Abdominal Fat Area Measured by Screening Abdominal Fat CT and Metabolic Syndrome in Asymptomatic Korean Individuals
Dae Woong Park, Noh Hyuck Park, Ji Yeon Park, Seon-Jeong Kim Journal of the Korean Society of Radiology.2017; 77(1): 1. CrossRef - Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree
Jaekwon Kim, Jongsik Lee, Youngho Lee Healthcare Informatics Research.2015; 21(3): 167. CrossRef - Implication of high‐body‐fat percentage on cardiometabolic risk in middle‐aged, healthy, normal‐weight adults
Ji Young Kim, Sang‐Hwan Han, Bong‐Min Yang Obesity.2013; 21(8): 1571. CrossRef - Cardio-Metabolic Features of Type 2 Diabetes Subjects Discordant in the Diagnosis of Metabolic Syndrome
Sa Rah Lee, Ying Han, Ja Won Kim, Ja Young Park, Ji Min Kim, Sunghwan Suh, Mi-Kyoung Park, Hye-Jeong Lee, Duk Kyu Kim Diabetes & Metabolism Journal.2012; 36(5): 357. CrossRef - Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income
Young-Joo Park, Nah-Mee Shin, Ji-Won Yoon, Jiwon Choi, Sook-Ja Lee Journal of Korean Academy of Nursing.2010; 40(6): 831. CrossRef
|