Prevalence, characteristics and predictors of the metabolic syndrome in women with polycystic ovary syndrome

doi:10.3969/j.issn.1006-7795.2015.04.008

Abstract

Abstract:

Objective To investigate the prevalence of metabolic syndrome(MS) and its components in women with polycystic ovary syndrome(PCOS), and analyze the ability of MS components to predict MS risk in PCOS patients. Methods A total of 180 women with PCOS participated in this study between December 2013 and July 2014. All of the subjects were examined for anthropometric, serum hormone level and biochemical parameters. We investigated the incidence of MS and its components, screening predictors for PCOS patients at high risk of MS. Results The prevalence of MS in PCOS patients was 43.89%. The prevalence in different age groups was 32.14% for 17-24 years, 39.53% for 25-29 years, 50.00% for 30-34 years and 80.00% for 35-39 years. The prevalence in different BMI groups was 10.00% for normal, 51.16% for overweight, 69.57% for obese and 85.71% for morbidly obese women. The age and BMI in PCOS patients with MS were higher than those of patients without MS(29.16±3.85 vs 27.47±3.81, P=0.004; 31.44±4.89 vs 24.29±4.87, P=0.000, respectively), the total testosterone level in two group was similar(P<0.05). The best predictors of metabolic syndrome in PCOS was HDL-C<1.29 mmol/L(sensitivity 91.14% and specificity 88.12%). Conclusion Women with PCOS have high risk for MS, age and the degree of obesity could be the main determinants of the prevalence of metabolic syndrome in different populations. The level of HDL-cholesterol could be a good predictor of the risk of MS in PCOS patients.

Key words: polycystic ovary syndrome, metabolic syndrome, prevalence, predictors

CLC Number:

R711.75

Wu Hongqin, Ruan Xiangyan, Lu Yongjun, Tian Xuanxuan, Zhang Ying, Cui Yamei, Zhao Yue, Du Juan, Li Yanglu, Diethelm Wallwiener, Alfred O. Mueck. Prevalence, characteristics and predictors of the metabolic syndrome in women with polycystic ovary syndrome[J]. Journal of Capital Medical University, 2015, 36(4): 553-558.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2015.04.008

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2015/V36/I4/553

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