Polycystic ovary morphology is associated with insulin resistance in women with polycystic ovary syndrome
- 주제(키워드) insulin resistance , polycystic ovary morphology , polycystic ovary syndrome
- 주제(기타) Endocrinology & Metabolism
- 등재 SCIE, SCOPUS
- 발행기관 WILEY
- 발행년도 2017
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000161757
- 본문언어 영어
- Published As http://dx.doi.org/10.1111/cen.13380
초록/요약
Background/ObjectivesPolycystic ovary syndrome (PCOS) is a heterogeneous disorder characterized by chronic anovulation, hyperandrogenism, polycystic ovary morphology (PCOM) and metabolic disturbances including insulin resistance and type 2 diabetes mellitus. Although insulin resistance could be associated with PCOM, recent studies have shown controversial results. The aim of this study was to determine the relationship between PCOM and insulin resistance. Subjects/MethodsThis was a cross-sectional clinical study. A total of 679 women with PCOS who were diagnosed using the National Institute of Child Health and Human Disease (NICHD) criteria and 272 control women were analysed. We measured fasting glucose and insulin levels, 75g oral glucose tolerance test-derived glucose and insulin levels, testosterone levels, ovarian volume and follicle number. ResultsPolycystic ovary morphology was described in 543 women (80.0%) with PCOS. Women with PCOS had significantly higher 2hours postload glucose, fasting and 2hours postload insulin levels, ovarian volume, ovarian follicle numbers and lower insulin sensitivity compared with those of the controls (all P<.01). In women with PCOS, ovarian volume and ovarian follicle number were negatively associated with the quantitative insulin sensitivity check index after adjusting for age, body mass index and total testosterone; however, this association was not observed in the controls. In the logistic regression analysis, increased ovarian follicle number was associated with decreased insulin sensitivity in women with PCOS. ConclusionsIn PCOS, enlarged ovarian volume and follicle excess were associated with insulin resistance, and the number of ovarian follicles could be a predictor of insulin resistance.
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