Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome

Background: Metabolic syndrome is a major risk factor for cardiovascular disease. Clustering of a combination of individual factors that increase the actual rather than the expected prevalence might be helpful in understanding the pathophysiology of metabolic syndrome. The aim of this study was to a...

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Main Authors: Yun-jin Kim, Hye-rim Hwang
Format: Article
Language:English
Published: Korean Society for the Study of Obesity 2018-09-01
Series:Journal of Obesity & Metabolic Syndrome
Subjects:
Online Access:https://doi.org/10.7570/jomes.2018.27.3.166
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spelling doaj-48703d0385ad4945bc6f7b45da99fb3f2020-11-24T21:45:46ZengKorean Society for the Study of ObesityJournal of Obesity & Metabolic Syndrome2508-62352018-09-0127316617410.7570/jomes.2018.27.3.166jomes.2018.27.3.166Clustering Effects of Metabolic Factors and the Risk of Metabolic SyndromeYun-jin Kim0Hye-rim Hwang1Department of Family Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, KoreaDepartment of Family Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, KoreaBackground: Metabolic syndrome is a major risk factor for cardiovascular disease. Clustering of a combination of individual factors that increase the actual rather than the expected prevalence might be helpful in understanding the pathophysiology of metabolic syndrome. The aim of this study was to analyze the most influential factors for metabolic syndrome to assess clustering factors of metabolic syndrome. Methods: Subjects from the Korea National Health and Nutrition Examination Survey (KNHANES) VI were included in the present study. The status of health behaviors was obtained using the questionnaires included in the KNHANES VI. A complex, stratified, and multistage sampling design was used to analyze the data according to statistics from the Korea Centers for Disease Control and Prevention. Results: A total of 2,101 men and 2,831 women aged older than 20 years were included in this study. In men, drinking alcohol more than twice per week was related with the prevalence of metabolic syndrome; while, in women, exercise was related with the prevalence of metabolic syndrome. The clustering effect was observed for more than three metabolic factors. In men, the clustering effect was strongest for the combination of hypertension, hyperglycemia, and hypertriglyceridemia. In women, the strongest clustering effect was observed for the combination of abdominal obesity, hypertriglyceridemia, and low high-density lipoprotein cholesterol concentration. Conclusion: The health behaviors affecting metabolic syndrome in men and women included drinking alcohol more than twice a week and exercising more than four times a week, respectively; in addition, hypertriglyceridemia most significantly influenced the clustering effect of metabolic syndrome.https://doi.org/10.7570/jomes.2018.27.3.166Metabolic syndromeHypertriglyceridemia
collection DOAJ
language English
format Article
sources DOAJ
author Yun-jin Kim
Hye-rim Hwang
spellingShingle Yun-jin Kim
Hye-rim Hwang
Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
Journal of Obesity & Metabolic Syndrome
Metabolic syndrome
Hypertriglyceridemia
author_facet Yun-jin Kim
Hye-rim Hwang
author_sort Yun-jin Kim
title Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
title_short Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
title_full Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
title_fullStr Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
title_full_unstemmed Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome
title_sort clustering effects of metabolic factors and the risk of metabolic syndrome
publisher Korean Society for the Study of Obesity
series Journal of Obesity & Metabolic Syndrome
issn 2508-6235
publishDate 2018-09-01
description Background: Metabolic syndrome is a major risk factor for cardiovascular disease. Clustering of a combination of individual factors that increase the actual rather than the expected prevalence might be helpful in understanding the pathophysiology of metabolic syndrome. The aim of this study was to analyze the most influential factors for metabolic syndrome to assess clustering factors of metabolic syndrome. Methods: Subjects from the Korea National Health and Nutrition Examination Survey (KNHANES) VI were included in the present study. The status of health behaviors was obtained using the questionnaires included in the KNHANES VI. A complex, stratified, and multistage sampling design was used to analyze the data according to statistics from the Korea Centers for Disease Control and Prevention. Results: A total of 2,101 men and 2,831 women aged older than 20 years were included in this study. In men, drinking alcohol more than twice per week was related with the prevalence of metabolic syndrome; while, in women, exercise was related with the prevalence of metabolic syndrome. The clustering effect was observed for more than three metabolic factors. In men, the clustering effect was strongest for the combination of hypertension, hyperglycemia, and hypertriglyceridemia. In women, the strongest clustering effect was observed for the combination of abdominal obesity, hypertriglyceridemia, and low high-density lipoprotein cholesterol concentration. Conclusion: The health behaviors affecting metabolic syndrome in men and women included drinking alcohol more than twice a week and exercising more than four times a week, respectively; in addition, hypertriglyceridemia most significantly influenced the clustering effect of metabolic syndrome.
topic Metabolic syndrome
Hypertriglyceridemia
url https://doi.org/10.7570/jomes.2018.27.3.166
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