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Dataset Information

Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome.


ABSTRACT:

Background

Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS.

Methods

This cross-sectional study involved 596 women aged 18-40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass inde

SUBMITTER: Kaluzna M 

PROVIDER: S-EPMC8755932 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature