Literature DB >> 19763092

Optimal waist circumference for prediction of metabolic syndrome in young Korean women with polycystic ovary syndrome.

Jee-Young Oh1, Yeon-Ah Sung, Hye Jin Lee, Ji Young Oh, Hye Won Chung, Hyesook Park.   

Abstract

The International Diabetes Federation consensus proposed an ethnically specific criteria of waist circumference (WC) for central obesity, but, the nationwide definition is still debated in Korea. For the detection of the optimal WC cutoff value, the nonadipose components of the metabolic syndrome (MS) were defined by modification of revised 2003 Rotterdam consensus as having two or more risk factors such as hypertension, hyperglycemia, and dyslipidemia without consideration of abdominal obesity. By using receiver-operating characteristic (ROC) curve analysis, cutoff points of WC and visceral fat area (VFA) for prediction of MS were 80 cm and 53.1 cm(2). WC cutoff points corresponding to VFA >53.1 and 100 cm(2) were 73.3 and 77.8 cm. The sensitivity and specificity of currently used value of WC 88 cm were 41.9 and 91.5%, suggesting that it could be too high in Korean population. Central obesity defined as WC >80 cm was significantly associated with nonadipose components of MS after adjustment for age, BMI, cholesterol, triglycerides, fasting insulin, and free testosterone levels. Central obesity with WC of >80 cm predicted the presence of nonadipose MS (odds ratio 16.6; 95% confidence interval (CI) 6.5-42.6). It was also significant (odds ratio 14.7; 95% CI 3.4-64.3) when we applied the WC value of 70 cm instead of 80 cm. In conclusion, WC of 80 and 70 cm could be appropriate cutoff points to identify the MS and visceral adiposity in Korean women with polycystic ovary syndrome (PCOS), respectively. Therefore, PCOS women with a WC over 70 cm should be closely monitored for the development of MS.

Entities:  

Mesh:

Year:  2009        PMID: 19763092     DOI: 10.1038/oby.2009.297

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  3 in total

1.  Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China.

Authors:  Xin Huang; Qiuyi Wang; Tingting Liu; Tianjiao Pei; Dong Liu; Huili Zhu; Wei Huang
Journal:  Endocrine       Date:  2019-03-28       Impact factor: 3.633

2.  Changing definitions of metabolic syndrome.

Authors:  Rakesh M Parikh; Viswanathan Mohan
Journal:  Indian J Endocrinol Metab       Date:  2012-01

3.  Application of receiver operating characteristic curve in the assessment of the value of body mass index, waist circumference and percentage of body fat in the Diagnosis of Polycystic Ovary Syndrome in childbearing women.

Authors:  Pan Dou; Huiyan Ju; Jing Shang; Xueying Li; Qing Xue; Yang Xu; Xiaohui Guo
Journal:  J Ovarian Res       Date:  2016-08-24       Impact factor: 4.234

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.