SEARCHCOHORTendocrinology, obstetrics and gynecology

cohort·endocrinology, obstetrics and gynecology, cardiology, internal medicine·PMC10608420

The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome

Life · 3 authors, 2 centres

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TL;DR

This cohort study compared 66 women with PCOS to 66 controls and evaluated several anthropometric indices. The central result was that the visceral adiposity index (VAI) and waist circumference (WC) were strong predictors for PCOS, while waist circumference (WC), lipid accumulation product (LAP) index, and body roundness index (BRI) were strong predictors for metabolic syndrome (MetS).

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This study included 66 women with polycystic ovary syndrome (PCOS) and 66 control women. Researchers calculated several anthropometric indices, including BMI, body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation product (LAP) index, and visceral adiposity index (VAI). The means of all indices were higher in the PCOS group. The visceral adiposity index (VAI) and waist circumference (WC) were identified as strong predictors for PCOS, while waist circumference (WC), LAP index, and BRI were strong predictors for metabolic syndrome (MetS). The findings suggest these simple, cost-effective indices may help in early diagnosis of PCOS and MetS.

STUDY TYPE

cohort

SPECIALTY

endocrinology

SUMMARISED BY

AI pipeline

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100% · A

ORIGINAL PAPER

PMC10608420

The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome

Life

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ABSTRACT

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group ( p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective.

CITATION EXPORT

Nihan Çakır Biçer, Asime Aleyna Ermiş, Dilşat Baş. The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome. Life. (2023). https://doi.org/10.3390/life13101959

AUTHORS

3 · 2 CENTRES

Nihan Çakır Biçer, Asime Aleyna Ermiş, Dilşat Baş

1Department of Nutrition and Dietetics, Faculty of Health Sciences, Acıbadem Mehmet Ali Aydınlar University, Icerenkoy Mah., Kayisdagi Cad. No. 32, 34752 Atasehir, Istanbul, Türkiye; [email protected]
2Department of Nutrition and Dietetics, Faculty of Health Sciences, İstanbul Galata University, Evliya Çelebi Mah., Meşrutiyet Cad. No. 62, Tepebaşı, 34425 Beyoğlu, Istanbul, Türkiye; [email protected]

EDITOR / REVIEWER

Antonio Bellastella