Correlation of body mass index (BMI), anti-mullerian hormone (AMH), and insulin resistance among different polycystic ovary syndrome (PCOS) phenotypes – a cross-sectional study

2019 ◽  
Vol 35 (11) ◽  
pp. 970-973 ◽  
Author(s):  
Monica Gupta ◽  
Ritu Yadav ◽  
Reeta Mahey ◽  
Anisha Agrawal ◽  
Ashish Upadhyay ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

scholarly journals The Association between Serum Concentration of Irisin, Glucose-dependent Insulinotropic Polypeptide and Body Mass Index among Women with and without Polycystic Ovary Syndrome

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Samira Behboudi-Gandevani ◽  
Mehdi Hedayati ◽  
Mohammad Ali Mansournia ◽  
Maryam Nazemipour ◽  
Maryam Rahmati ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Serum Concentration ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Fractional Polynomial ◽  
Non Linear

Background: The actions of adipocytokines may be a connective factor between obesity and polycystic ovary syndrome (PCOS). It is suggested that irisin, as recently described cytokine secreted by skeletal muscles and glucose-dependent insulinotropic polypeptide (GIP) as an incretin hormone that induces cytokine expression, may play key roles in favoring obesity in these women. Objectives: We aimed to evaluate the association between body mass index (BMI) and serum concentration of irisin/GIP in women with and without PCOS in the linear and non-linear model. Methods: This cross-sectional study was conducted among 159 PCOS and 82 healthy eumenorrheic non-hirsute women aged 20 - 50 years. The fractional-polynomial model was used to develop a model of continuous risk factors, which evaluates non-linear associations between irisin/GIP and BMI among women with and without PCOS. Results: Women with PCOS were significantly younger (28.2 ± 5.8 vs. 33.0 ± 7.8 years, P < 0.001) and had a greater BMI (26.6 ± 5.2 vs. 25.2 ± 4.8 kg/m2, P = 0.04) than the healthy counterparts. There were no significant linear and non-linear associations between serum concentration of irisin/GIP and BMI in both groups. The analysis of pair-wise age and BMI matching of women with PCOS and controls confirmed these findings. Conclusions: This study showed that irisin and GIP have no association with BMI in women with or without PCOS. This finding could help to better understand the underlying pathophysiological status of PCOS, insulin resistance, and obesity-related disorders. Further large cohort studies are needed to confirm these findings.

scholarly journals Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

2016 ◽  
Vol 4 (4) ◽  
pp. 607-612
Author(s):  
Sasha Jovanovska-Mishevska ◽  
Aleksandra Atanasova-Boshku ◽  
Iskra Bitoska ◽  
Irfan Ahmeti ◽  
Biljana Todorova ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Control Group ◽  
Oral Glucose ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

BACKGROUND: Polycystic ovary syndrome (PCOS) is complex hormonal, metabolic and reproductive disorder and is a leading cause of female infertility. Hyperinsulinemia secondary to insulin resistance plays important role in the pathogenesis of PCOS.AIM: To assess the sensitivity of different indices of insulin resistance and their relevance in a clinical setting.MATERIAL AND METHODS: A cross-sectional study of 43 patients with PCOS and 29 noromo ovulatory women as a control group was conducted. Standard clinical, anthropometrical and hormonal testing for hyperandrogenism was conducted, as well as oral glucose tolerance test with determination of basal and stimulated glucose and insulin values.RESULTS: The dynamic I/G index showed the highest sensitivity and specificity, but the static indexes HOMA-IR and QUICKI, although based on only basal glycemic and insulinemic values, showed good sensitivity, 90.38% and 94.01% respectively. HOMA-IR showed significant positive correlation with the stimulated insulin values.CONCLUSIONS: Our results support the use of static indexes in the evaluation of insulin resistance in women with PCOS in a clinical setting, offering a simple assessment of insulin resistance in PCOS, which holds great prognostic and treatment implications.

scholarly journals Insulin resistance in relation to clinical, endocrine and metabolic profile of infertile women with polycystic ovary syndrome

2021 ◽  
Vol 14 (1) ◽  
pp. 1-6
Author(s):  
Shakeela Ishrat ◽  
Marufa Hossain ◽  
Subrata Kumar Biswas
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Infertile Women ◽  
Significant Difference

The objective of this study is to explore how hyperinsulinemia and insulin resistance relate to the clinical, endocrine and metabolic factors in the infertile women with polycystic ovary syndrome. This study was conducted on 121 consecutive infertile women with polycystic ovary syndrome attending the Infertility unit from January 2017 to December 2017. They were divided into two groups: insulin resistant and insulin sensitive. There was significant difference in body mass index and waist circumference between the two groups. Serum lipids were not associated with insulin resistance. Hyperinsulinemia was significantly associated with metabolic syndrome. Reducing body mass index and waist circumference may improve insulin resistance in infertile women with polycystic ovary syndrome. Screening the infertile women with polycystic ovary syndrome for hyperinsulinemia and insulin resistance and subsequent counseling is recommended to address the long-term risks of metabolic syndrome.

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