Literature DB >> 16865099

The new definition of metabolic syndrome by the international diabetes federation is less likely to identify metabolically abnormal but non-obese individuals than the definition by the revised national cholesterol education program: the Korea NHANES study.

Y S Yoon1, E S Lee, C Park, S Lee, S W Oh.   

Abstract

OBJECTIVE: The new definitions for metabolic syndrome (MS) proposed by the IDF and revised NCEP have caused some confusion because patients have emerged that have satisfied the revised NCEP but not the IDF criteria. We performed this study to compare the prevalence of these criteria and to investigate the characteristics of discrepant cases. RESEARCH DESIGN AND METHODS: A total of 7962 individuals aged >or= 20 years (3597 men; 4365 women) who participated in the 1998 Korean NHANES were included. We assessed the agreement between the revised NCEP and IDF criteria and investigated the characteristics of cases satisfying the revised NCEP criteria but not the IDF criteria.
RESULTS: The prevalence of MS by the revised NCEP (25.7% of men and 31.9% of women) was higher than that according to the IDF (14.2% of men and 26.6% of women). The IDF criteria failed to identify 44.9% of men and 16.6% of women identified as having MS according to the revised NCEP criteria. The discrepant group showed more adverse metabolic profiles and unfavorable lifestyles despite lower waist circumference as compared with those having MS by both the IDF and revised NCEP criteria. The prevalence of discrepant cases was higher among the elderly.
CONCLUSIONS: The IDF criteria were inferior to the revised NCEP criteria in identifying the metabolically abnormal but nonobese groups known to be predisposed to type 2 diabetes and cardiovascular disease. Further research regarding the appropriateness of central obesity as an obligatory criterion proposed by the IDF seems to be warranted.

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Year:  2006        PMID: 16865099     DOI: 10.1038/sj.ijo.0803442

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  25 in total

1.  Ethnic disparities in the prevalence of the metabolic syndrome in American adults: data from the Examination of National Health and Nutrition Examination Survey 1999-2010.

Authors:  Lilly Ramphal; Jun Zhang; Sumhiro Suzuki
Journal:  Proc (Bayl Univ Med Cent)       Date:  2014-04

2.  Prevalence of metabolic syndrome in turkmen ethnic groups in gorgan.

Authors:  Najmeh Shahini; Iman Shahini; Abdoljalal Marjani
Journal:  J Clin Diagn Res       Date:  2013-09-10

3.  A cohort analysis of the cardiovascular risk factors in the employees of a pediatric hospital from 2009 to 2012.

Authors:  Lilly Ramphal; Jun Zhang; Sumihiro Suzuki
Journal:  Proc (Bayl Univ Med Cent)       Date:  2014-04

4.  Gender and age-related differences in patients with the metabolic syndrome in a highly endogamous population.

Authors:  Abdulbari Bener; Abdul-Ghani Mohammad; Asia N Ismail; Mahmoud Zirie; Waleed K Abdullatef; Abdulla O A A Al-Hamaq
Journal:  Bosn J Basic Med Sci       Date:  2010-08       Impact factor: 3.363

5.  The modified NCEP ATP III criteria maybe better than the IDF criteria in diagnosing Metabolic Syndrome among Malays in Kuala Lumpur.

Authors:  Foong Ming Moy; Awang Bulgiba
Journal:  BMC Public Health       Date:  2010-11-06       Impact factor: 3.295

6.  Prevalence and determinants of metabolic syndrome according to three definitions in middle-aged Chinese men.

Authors:  Raquel Villegas; Yong-Bing Xiang; Gong Yang; Qiuyin Cai; Sergio Fazio; MacRae F Linton; Tom Elasy; Wang-Hong Xu; Honglan Li; Hui Cai; Yu-Tang Gao; Wei Zheng; Xiao Ou Shu
Journal:  Metab Syndr Relat Disord       Date:  2009-02       Impact factor: 1.894

7.  Central obesity is important but not essential component of the metabolic syndrome for predicting diabetes mellitus in a hypertensive family-based cohort. Results from the Stanford Asia-pacific program for hypertension and insulin resistance (SAPPHIRe) Taiwan follow-up study.

Authors:  I-Te Lee; Yen-Feng Chiu; Chii-Min Hwu; Chih-Tsueng He; Fu-Tien Chiang; Yu-Chun Lin; Themistocles Assimes; J David Curb; Wayne H-H Sheu
Journal:  Cardiovasc Diabetol       Date:  2012-04-26       Impact factor: 9.951

8.  Cardio-metabolic features of type 2 diabetes subjects discordant in the diagnosis of metabolic syndrome.

Authors:  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
Journal:  Diabetes Metab J       Date:  2012-10-18       Impact factor: 5.376

9.  Sociodemographic disparities in the composition of metabolic syndrome components among adults in South Korea.

Authors:  Hyunjung Lim; Tuan Nguyen; Ryowon Choue; Youfa Wang
Journal:  Diabetes Care       Date:  2012-07-26       Impact factor: 19.112

10.  A Comparison between Revised NCEP ATP III and IDF Definitions in Diagnosing Metabolic Syndrome in an Urban Sri Lankan Population: The Ragama Health Study.

Authors:  S Chackrewarthy; D Gunasekera; A Pathmeswaren; C N Wijekoon; U K Ranawaka; N Kato; F Takeuchi; A R Wickremasinghe
Journal:  ISRN Endocrinol       Date:  2013-02-27
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