Literature DB >> 16677547

[Comparison of the diagnostic criteria of metabolic syndrome by International Diabetes Federation and that by Chinese Medical Association Diabetes Branch].

Yan-hui Lu1, Ju-ming Lu, Shu-yu Wang, Chun-lin Li, Li-sheng Liu, Run-ping Zheng, Hui Tian, Xian-ling Wang, Li-juan Yang, Yu-qing Zhang, Chang-yu Pan.   

Abstract

OBJECTIVE: To compare the accordance between the diagnostic criteria of metabolic syndrome (MS) by International Diabetes Federation (IDF) and that by Chinese Medical Association (CMA) Diabetes Branch.
METHODS: An epidemiological survey on diabetes mellitus (DM) was conducted among 2344 residents in Shijingshan community, Beijing, aged >or= 40. 1870 of these 2344 people, 901 males and 969 females, without DM underwent physical examination, laboratory tests, questionnaire survey and oral glucose tolerance test so as to screen the MS patients by both diagnostic criteria. The accordance of these 2 criteria was analyzed statistically by using the STATA7.0 software.
RESULTS: The accordance rate of these 2 MS diagnostic criteria was 79.95%. If the criterion for fasting blood glucose in the China criteria was adjusted to 5.6 mmol/L, the accordance increased to 81.39%. 1091 persons were diagnosed as with central obesity according to the IDF criteria, 626 of which could be diagnosed as central obesity according to the China criteria with an accordance rate of 57.38%. Out of these 1091 persons 578 (92.3%) had the BMI >or= 25 kg/m(2). Out of the 779 persons that failed to be diagnosed as with central obesity 113 persons were diagnosed as with central obesity according to the China criteria. Fifty of these 113 persons had the BMI >or= 25 kg/m(2). 111 persons diagnosed as with MS did not have BMI abnormality. According to the IDF criteria, the morbidity of myocardial infarction (MI) and/or cerebral stroke in those with MS was 19.87%, significantly higher than in those without MS (14.86%, P = 0.004), and according to the China criteria, the morbidity of myocardial infarction (MI) and/or cerebral stroke in those with MS was 19.52%, significantly higher than in those without MS (15.21%, P = 0.013) as well. There was no significant difference in the morbidity of MI and cerebral stroke between the IDF criteria and China criteria (P = 0.092). According to the IDF criteria the morbidity of microalbuminuria in the MS patients was 8.59%, significantly higher than that in the persons without MS (4.28%, P = 0.000). According to the China criteria the morbidity of microalbuminuria in the MS patients was 8.55%, significantly higher than that in the persons without MS (4.49%, P = 0.000). There was no significant difference in the morbidity of microalbuminuria between these 2 criteria (P = 0.976). There were no significant difference in the morbidity of microalbuminuria in the persons with central obesity and those with the BMI >or= 25 kg/m(2) between these 2 criteria (P = 0.77).
CONCLUSION: The MS diagnostic criteria of IDF and that of CMA Diabetes Branch are in good accordance.

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Year:  2006        PMID: 16677547

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  27 in total

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2.  Body mass index and risk of left atrial thrombus in patients with atrial fibrillation.

Authors:  Ri-Bo Tang; Xiao-Hui Liu; Jérôme Kalifa; Zhi-An Li; Jian-Zeng Dong; Ya Yang; Xing-Peng Liu; De-Yong Long; Rong-Hui Yu; Chang-Sheng Ma
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3.  Comparison of three diagnosis criteria for metabolic syndrome in Mongolian people of agricultural and pastoral regions.

Authors:  L Yu; Y H Zhang; Y Y Liu; B T Wu; X Y Zhang; W J Tong
Journal:  J Endocrinol Invest       Date:  2009-05       Impact factor: 4.256

4.  A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population.

Authors:  Qian Zhang; Chengqi Zhang; Xinhong Song; Haiyan Lin; Dongzhi Zhang; Wenjia Meng; Yongyuan Zhang; Zhenxin Zhu; Fang Tang; Longjian Liu; Xiaowei Yang; Fuzhong Xue
Journal:  BMC Public Health       Date:  2012-06-08       Impact factor: 3.295

5.  Identification of reciprocal causality between non-alcoholic fatty liver disease and metabolic syndrome by a simplified Bayesian network in a Chinese population.

Authors:  Yongyuan Zhang; Tao Zhang; Chengqi Zhang; Fang Tang; Nvjuan Zhong; Hongkai Li; Xinhong Song; Haiyan Lin; Yanxun Liu; Fuzhong Xue
Journal:  BMJ Open       Date:  2015-09-22       Impact factor: 2.692

6.  Comparisons of different metabolic syndrome definitions and associations with coronary heart disease, stroke, and peripheral arterial disease in a rural Chinese population.

Authors:  Jiangping Wen; Jingang Yang; Yujie Shi; Yuanbo Liang; Fenghua Wang; Xinrong Duan; Xilin Lu; Qiushan Tao; Xinxin Lu; Yaping Tian; Ningli Wang
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

Review 7.  Role of Dietary Approaches to Stop Hypertension Diet in Risk of Metabolic Syndrome: Evidence from Observational and Interventional Studies.

Authors:  Hossein Farhadnejad; Hadi Emamat; Farshad Teymoori; Hadith Tangestani; Azita Hekmatdoost; Parvin Mirmiran
Journal:  Int J Prev Med       Date:  2021-03-10

8.  Inflammation and oxidative stress are associated with the prevalence of high aankle-brachial index in metabolic syndrome patients without chronic renal failure.

Authors:  Yinyin Zhang; Jie Chen; Kun Zhang; Minyi Kong; Tao Wang; Renhua Chen; Lily Wang; Jingfeng Wang; Hui Huang
Journal:  Int J Med Sci       Date:  2013-01-09       Impact factor: 3.738

9.  Association between leukocyte and metabolic syndrome in urban Han Chinese: a longitudinal cohort study.

Authors:  Wenjia Meng; Chengqi Zhang; Qian Zhang; Xinhong Song; Haiyan Lin; Dongzhi Zhang; Yongyuan Zhang; Zhenxin Zhu; Shuo Wu; Yanxun Liu; Fang Tang; Xiaowei Yang; Fuzhong Xue
Journal:  PLoS One       Date:  2012-11-27       Impact factor: 3.240

10.  Prediction of metabolic syndrome by non-alcoholic fatty liver disease in northern urban Han Chinese population: a prospective cohort study.

Authors:  Tao Zhang; Yongyuan Zhang; Chengqi Zhang; Fang Tang; Hongkai Li; Qian Zhang; Haiyan Lin; Shuo Wu; Yanxun Liu; Fuzhong Xue
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

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