Prevalence of the Metabolic Syndrome Among Korean Adults According to the Criteria of the International Diabetes Federation

Park, Hye Soon; Lee, Sang Yeoup; Kim, Seon Mee; Han, Jee Hye; Kim, Dae Jung
April 2006
Diabetes Care;Apr2006, Vol. 29 Issue 4, p933
Academic Journal
Presents a study which assessed the prevalence of the metabolic syndrome according to the International Diabetes Federation (IDF) criteria, using ethnicity- and sex-specific cutoff values for central obesity in Korea. Research design and methods; Age-adjusted prevalence of the metabolic syndrome; Prevalence of metabolic syndrome for Korean men and women; Feature of the IDF criteria.


Related Articles

  • Appropriateness of current thresholds for obesity-related measures among Aboriginal people. Lear, Scott A.; Humphries, Karin H.; Frohlich, Jiri J.; Birmingham, C. Laird // CMAJ: Canadian Medical Association Journal;12/4/2007, Vol. 177 Issue 12, p1499 

    Background: Despite the high prevalence of obesity and diabetes in the Canadian Aboriginal population, it is unknown whether the current thresholds for body mass index and waist circumference derived from white populations are appropriate for Aboriginal people. We compared the risk of...

  • Is a Unified Definition of Metabolic Syndrome Needed? Comparison of Three Definitions of Metabolic Syndrome in 60-Year-Old Men and Women. Axel C. Carlsson; Per E. Wändell; Mats Halldin; Ulf de Faire; Mai-Lis Hellénius // Metabolic Syndrome & Related Disorders;Jun2009, Vol. 7 Issue 3, p231 

    Background:There are three commonly used definitions of the metabolic syndrome, making scientific studies hard to compare. The aim of this study was to investigate agreement in the prevalence of the metabolic syndrome defined by three different definitions and to analyze definition and gender...

  • Reduction in Life Expectancy in Diabetes Mellitus in South Indians. Koti, Manjeera; Bodala, Naga Jyothi; Jain, Arun K.; Dosapati, Ramesh; Paturi, Bhanu T.; Bongu, Navneeth; Girisesh, Gudige; Srinivas, Thummisetti; Madhav, Pavuluri; Kavitha, Yalamati; Babu, Murukonda Raghunath; Reddam, Sreekanth Reddy; Rao, Paturi V. // Diabetes;Jun2007 Supplement 1, Vol. 56, pA530 

    In a University Hospital of Southern India, 255 men and 91 women with diabetes died during a 18-month period. Their age at onset (diagnosis) of diabetes, known duration of diabetes, age at death and major morbidity at death were studied. Life tables (1998-2002) of reference populations (rural...

  • Age and Sex Differences in the Clustering of Metabolic Syndrome Factors. Kuk, Jennifer L.; Ardern, Chris I. // Diabetes Care;Nov2010, Vol. 33 Issue 11, p2457 

    OBJECTIVE -- The metabolic syndrome is a general term given to a clustering of cardiometabolic risk factors that may consist of different phenotype combinations. The purpose of this study was to determine the prevalence of the different combinations of factors that make up the metabolic syndrome...

  • Gender and age impacts on the correlations between hyperuricemia and metabolic syndrome in Chinese. Zhang, Qing; Lou, Shanshan; Meng, Zhaowei; Ren, Xiaojun // Clinical Rheumatology;Jun2011, Vol. 30 Issue 6, p777 

    Prevalence of both metabolic syndrome (MS) and hyperuricemia are increasing. However, findings regarding their relationships are inconsistent. We aimed to explore correlations between MS and hyperuricemia in a large Chinese population, emphasizing the impacts from gender and age. Data analyses...

  • Metabolic Syndrome, Sarcopenia and Role of Sex and Age: Cross-Sectional Analysis of Kashiwa Cohort Study. Ishii, Shinya; Tanaka, Tomoki; Akishita, Masahiro; Ouchi, Yasuyoshi; Tuji, Tetsuo; Iijima, Katsuya; null, null // PLoS ONE;Nov2014, Vol. 9 Issue 11, p1 

    Recent epidemiological evidence suggests that effects of cardiovascular risk factors may vary depending on sex and age. In this study, we assessed the associations of metabolic syndrome (MetS) with sarcopenia and its components in older adults, and examined whether the associations vary by sex...

  • A1C in Children and Adolescents With Diabetes in Relation to Certain Clinical Parameters. Hanberger, Lena; Samuelsson, Ulf; Lindblad, Bengt; Ludvigsson, Johnny // Diabetes Care;May2008, Vol. 31 Issue 5, p927 

    OBJECTIVE -- We explored the relationship between A1C and insulin regimen, duration of diabetes, age, sex, and BMI as well as the differences between clinical mean A1C levels at pediatric diabetes clinics in Sweden. RESEARCH DESIGN AND METHODS-- Data from 18,651 clinical outpatient visits (1,033...

  • Association of a common variant in TCF7L2 gene with type 2 diabetes mellitus in the Palestinian population. Ereqat, Suheir; Nasereddin, Abedelmajeed; Cauchi, Stéphane; Azmi, Kifaya; Abdeen, Ziad; Amin, Riyad // Acta Diabetologica;Dec2010, Vol. 47, p195 

    Recent genome-wide association studies have provided an important resource for furthering our understanding of type 2 diabetes mellitus (T2DM) disease mechanisms. Most of these T2DM gene loci affect insulin secretion. We examined the association of rs7903146 variant in the transcription factor 7...

  • Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data. Klimek, Peter; Kautzky-Willer, Alexandra; Chmiel, Anna; Schiller-Frühwirth, Irmgard; Thurner, Stefan // PLoS Computational Biology;Apr2015, Vol. 11 Issue 4, p1 

    Despite substantial progress in the study of diabetes, important questions remain about its comorbidities and clinical heterogeneity. To explore these issues, we develop a framework allowing for the first time to quantify nation-wide risks and their age- and sex-dependence for each diabetic...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics