Literature DB >> 16720024

How well does the metabolic syndrome defined by five definitions predict incident diabetes and incident coronary heart disease in a Chinese population?

Jian-jun Wang1, Hong-bing Li, Leena Kinnunen, Gang Hu, Tiina M Järvinen, Maija E Miettinen, Shenyuan Yuan, Jaakko Tuomilehto.   

Abstract

We evaluate the ability of the metabolic syndrome (MetS) defined by five definitions for predicting both incident CHD and diabetes combined, diabetes alone, and CHD alone in a Chinese population. The screening survey for type 2 diabetes was conducted in 1994. A follow-up study of 541 high-risk non-diabetic individuals who were free of CHD at baseline was carried out in 1999 in Beijing area. The MetS was defined by the World Health Organization (WHO), European Group for the Study of Insulin Resistance (EGIR), American College of Endocrinology (ACE), the International Diabetes Federation (IDF), and the National Cholesterol Education Program and the American Heart Association (AHA) (updated NCEP) criteria. From a multiple logistic regression adjusting for age, sex, education, occupation, smoking, family history of diabetes, and total cholesterol, the relative risk of the ACE-defined MetS for incident diabetes alone (67 cases) was 2.29 (95% CI, 1.20-4.34). The MetS defined by the five definitions was associated with a 1.8-3.9 times increased risk for both incident CHD and diabetes combined (59 cases), and with a 1.9-3.0 times for total incident diabetes (126 cases). None of the five definitions predicted either incident CHD alone (177 cases) or total incident CHD (236 cases). In conclusion, the MetS defined by the current definitions appears to be more effective at predicting incident diabetes.

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Year:  2006        PMID: 16720024     DOI: 10.1016/j.atherosclerosis.2006.04.027

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  17 in total

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Journal:  Eat Weight Disord       Date:  2017-11-01       Impact factor: 4.652

2.  Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates.

Authors:  Prasad Katulanda; Priyanga Ranasinghe; Ranil Jayawardana; Rezvi Sheriff; David R Matthews
Journal:  Diabetol Metab Syndr       Date:  2012-05-31       Impact factor: 3.320

3.  Urban and rural variation in clustering of metabolic syndrome components in the Thai population: results from the fourth National Health Examination Survey 2009.

Authors:  Wichai Aekplakorn; Pattapong Kessomboon; Rassamee Sangthong; Suwat Chariyalertsak; Panwadee Putwatana; Rungkarn Inthawong; Wannee Nitiyanant; Surasak Taneepanichskul
Journal:  BMC Public Health       Date:  2011-11-10       Impact factor: 3.295

4.  Impact of metabolic syndrome compared with impaired fasting glucose on the development of type 2 diabetes in a general Japanese population: the Hisayama study.

Authors:  Naoko Mukai; Yasufumi Doi; Toshiharu Ninomiya; Jun Hata; Koji Yonemoto; Masanori Iwase; Mitsuo Iida; Yutaka Kiyohara
Journal:  Diabetes Care       Date:  2009-09-03       Impact factor: 17.152

5.  Hypertriglyceridemic waist might be an alternative to metabolic syndrome for predicting future diabetes mellitus.

Authors:  Sen He; Yi Zheng; Yan Shu; Jiyun He; Yong Wang; Xiaoping Chen
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

6.  Metabolic syndrome and risk of incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study.

Authors:  Earl S Ford; Matthias B Schulze; Tobias Pischon; Manuela M Bergmann; Hans-Georg Joost; Heiner Boeing
Journal:  Cardiovasc Diabetol       Date:  2008-12-12       Impact factor: 9.951

Review 7.  Metabolic syndrome and incident diabetes: current state of the evidence.

Authors:  Earl S Ford; Chaoyang Li; Naveed Sattar
Journal:  Diabetes Care       Date:  2008-06-30       Impact factor: 19.112

8.  Metabolic syndrome as a cardiovascular disease risk factor: patients evaluated in primary care.

Authors:  Joan-Josep Cabré; Francisco Martín; Bernardo Costa; Josep L Piñol; Josep L Llor; Yolanda Ortega; Josep Basora; Marta Baldrich; Rosa Solà; Jordi Daniel; Josep Ma Hernández; Judit Saumell; Jordi Bladé; Ramon Sagarra; Teresa Basora; Dolors Montañés; Joan L Frigola; Angel Donado-Mazarrón; Maria Teresa García-Vidal; Isabel Sánchez-Oro; Josep M de Magriñà; Ana Urbaneja; Francisco Barrio; Jesús Vizcaíno; Josep M Sabaté; Irene Pascual; Vanesa Revuelta
Journal:  BMC Public Health       Date:  2008-07-22       Impact factor: 3.295

9.  Regardless of central obesity, metabolic syndrome is a significant predictor of type 2 diabetes in Japanese Americans.

Authors:  Yu Sakashita; Shuhei Nakanishi; Masayasu Yoneda; Reiko Nakashima; Kiminori Yamane; Nobuoki Kohno
Journal:  J Diabetes Investig       Date:  2015-02-13       Impact factor: 4.232

10.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Authors:  Bernd Richter; Bianca Hemmingsen; Maria-Inti Metzendorf; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2018-10-29
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