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Published in: BMC Endocrine Disorders 1/2014

Open Access 01-12-2014 | Research article

Prevalence and predictors of metabolic abnormalities in Chinese women with PCOS: a cross- sectional study

Authors: Rong Li, Geng Yu, Dongzi Yang, Shangwei Li, Shulan Lu, Xiaoke Wu, Zhaolian Wei, Xueru Song, Xiuxia Wang, Shuxin Fu, Jie Qiao

Published in: BMC Endocrine Disorders | Issue 1/2014

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Abstract

Background

Polycystic ovary syndrome (PCOS) is a common condition estimated to affect 5.61% of Chinese women of reproductive age, but little is known about the prevalence and predictors in Chinese PCOS patients. This study aimed to determine the prevalence and predictors of the metabolic abnormalities in Chinese women with and without PCOS.

Methods

A large-scale national epidemiological investigation was conducted in reproductive age women (19 to 45 years) across China. 833 reproductive aged PCOS women, who participated in the healthcare screening, were recruited from ten provinces in China. Clinical history, ultrasonographic exam (ovarian follicle), hormonal and metabolic parameters were the main outcome measures.

Results

The prevalence of metabolic syndrome (MetS) as compared in PCOS and non-PCOS women from community were 18.2% vs 14.7%, and IR (insulin resistance) were 14.2% vs 9.3% (p < 0.001) respectively. After adjusting for age, the indicators (central obesity, hypertension, fasting insulin, SHBG, dyslipinaemia) for metabolic disturbances were significantly higher in PCOS than in non-PCOS groups. Using multivariate logistic regression, central obesity and FAI were risk factors, while SHBG was a protective factor on the occurrence of Mets and IR in PCOS women (OR: 1.132, 1.105 and 0.995).

Conclusions

The risk factors of the metabolic syndrome and insulin resistance were BMI and FAI for PCOS women, respectively. The decrease of SHBG level was also a risk factor for insulin resistance in both PCOS and metabolic disturbance.
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Metadata
Title
Prevalence and predictors of metabolic abnormalities in Chinese women with PCOS: a cross- sectional study
Authors
Rong Li
Geng Yu
Dongzi Yang
Shangwei Li
Shulan Lu
Xiaoke Wu
Zhaolian Wei
Xueru Song
Xiuxia Wang
Shuxin Fu
Jie Qiao
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Endocrine Disorders / Issue 1/2014
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/1472-6823-14-76

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