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Association of metabolic syndrome with coronary artery calcification

Ha KH, Kim DJ

No abstract available.
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Causes of Different Estimates of the Prevalence of Metabolic Syndrome in Korea

Kim HC, Kim DJ

BACKGROUND/AIMS: Reports of the prevalence of and trends in metabolic syndrome in Korea have been inconsistent. Thus, we investigated the reasons underlying these inconsistencies. METHODS: We estimated the prevalence of metabolic...
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Differences in Prevalence of Metabolic Syndrome by Breastfeeding Experience of Women in Their 30s and 40s

Kim HJ, Kim HS

PURPOSE: The purpose of this study was to assess the differences in the prevalence of metabolic syndrome in women in their 30s and 40s by breastfeeding experience, using the the...
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The Contribution of Abdominal Obesity and Dyslipidemia to Metabolic Syndrome in Psychiatric Patients

Kim SH, Kim K, Kwak MH, Kim HJ, Kim HS, Han KH

BACKGROUND/AIMS: Metabolic syndrome is an emerging risk factor for cardiovascular disease. This study investigated the prevalence of metabolic syndrome among psychiatric patients in order to identify the dominant factors of...
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Association of Family Composition and Metabolic Syndrome in Korean Adults Aged over 45 Years Old

Kim YJ

PURPOSE: This study investigated the relationship between family composition and the prevalence of metabolic syndrome by gender in Korean adults aged 45 years and older. METHODS: The sample consisted of 11,291...
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Prevalence of the Metabolic Syndrome and Its Association with Cardiovascular Diseases in Korea

Kim MH, Kim MK, Choi BY, Shin YJ

This study aimed to estimate nationwide prevalence of the metabolic syndrome and to identify its association with cardiovascular diseases. The data on a national representative sample of 6,147 adults from...
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Association of Current and Past Smoking with Metabolic Syndrome in Men

Hong AR, Lee KS, Lee SY, Yu JH

OBJECTIVES: The objective of this study was to determine the relationship between past smoking and the risk factors for metabolic syndrome. METHODS: From January 2007 to December 2007, a total...
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Risk Factors of Cryptogenic Hepatocellular Carcinoma in Patients with Low Body Mass Index or without Metabolic Syndrome

Song HY, Lee HK, Lee JS, Kim JY, Yim YH, Song TJ, Bae WK, Kim NH, Kim KA

BACKGROUND/AIMS: Many patients are diagnosed with cryptogenic hepatocellular carcinoma (HCC) without metabolic syndrome (MS). We investigated the risk factors for cryptogenic HCC in patients with a low body mass index...
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Dairy Product Intake Is Inversely Associated with Metabolic Syndrome in Korean Adults: Anseong and Ansan Cohort of the Korean Genome and Epidemiology Study

Shin H, Yoon YS, Lee Y, Kim CI, Oh SW

The objective of this study was to examine the relationship between dairy product intake and the incidence of metabolic syndrome (MetS) and its components among middle-aged Koreans. We examined 7,240...
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Comparison of the Metabolic Syndrome Risk Factor Prevalence Forty and Fifty Something Women

Kim HS, Oh JA

  • KMID: 1754137
  • J Korean Acad Nurs.
  • 2007 Jun;37(4):453-458.
PURPOSE: The purpose of this study was to compare metabolic syndrome (MS) risk factor prevalence by obesity and age in middle-aged women. METHOD: Two hundred and fifty-one subjects were...
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Waist-to-Height Ratio as an Index for Cardiometabolic Risk in Adolescents: Results from the 1998-2008 KNHANES

Chung IH, Park S, Park MJ, Yoo EG

PURPOSE: To describe the relationship between the waist-to-height ratio (WHtR) and cardiometabolic risk factors (CMRFs) and to evaluate the validity of WHtR in identifying adolescents with metabolic syndrome. MATERIALS AND METHODS:...
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A Prospective Study of Epicardial Adipose Tissue and Incident Metabolic Syndrome: The ARIRANG Study

Lee JH, Kim JY, Kim KM, Lee JW, Youn YJ, Ahn MS, Yoo BS, Lee SH, Yoon J, Choe KH, Ahn SV, Koh SB, Park JK, Ahn SG

Increased epicardial adipose tissue (EAT) may be closely associated with the development of metabolic abnormalities. We investigated whether EAT predicts the incident metabolic syndrome in a community-based, middle-aged population. The...
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Lifestyle and Metabolic Syndrome among Male Workers in an Electronics Research and Development Company

Myong JP, Kim HR, Kim YK, Koo JW, Park CY

OBJECTIVES: The objectives of this study were to determine the relationship between lifestyle-implementation and metabolic syndrome in an electronics research and development company, and to provide a foundation for health...
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Plasma Adiponectin Concentration and Its Association with Metabolic Syndrome in Patients with Heart Failure

Won H, Kang SM, Shin MJ, Oh J, Hong N, Park S, Lee SH, Jang Y, Chung N

PURPOSE: Plasma adiponectin concentrations are inversely related with metabolic syndrome (MetS), and MetS is associated with increased risk for heart failure (HF). However, the relationship between adiponectin and MetS in...
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Association of Visceral Fat and Risk Factors for Metabolic Syndrome in Children and Adolescents

Kwon JH, Jang HY, Oh MJ, Rho JS, Jung JH, Yum KS, Han JW

PURPOSE: Visceral fat (VF) is closely associated with many metabolic risk factors and is also known to be a strong predictive factor for severe metabolic complications in adults. But there...
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Serum Ferritin and Risk of the Metabolic Syndrome in Some Korean Rural Residents

Ryu SY, Kim KS, Park J, Kang MG, Han MA

OBJECTIVES: The purpose of this study was to examine the relationship between serum ferritin and the metabolic syndrome (MS). METHODS: We conducted a cross-sectional study of 1,444 adults over...
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Increase of Metabolic Syndrome Score is an Independent Determinant of Increasing Pulse Pressure

Moon JY, Park S, Ahn CM, Cho JR, Park CM, Ko YG, Choi D, Jeong MH, Jang Y, Chung N

  • KMID: 2396088
  • Yonsei Med J.
  • 2008 Feb;49(1):63-70.
PURPOSE: The objective of this study was to determine whether the progressive increase of metabolic syndrome (MetS) score, the number of components of MetS, is correlated significantly with increasing pulse...
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Clustering of Metabolic Risk Factors and Its Related Risk Factors in Young Schoolchildren

Kong KA, Park BH, Min JW, Hong J, Hong YS, Lee BE, Chang N, Lee SH, Ha EH, Park H

  • KMID: 792415
  • J Prev Med Public Health.
  • 2006 May;39(3):235-242.
OBJECTIVES: We wanted to determine the distribution of the clustering of the metabolic risk factors and we wanted to evaluate the related factors in young schoolchildren. METHODS: A cross-sectional...
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