Interplay between lipid profile and anthropometric measures as indicators of cardiometabolic risk in women with polycystic ovary syndrome

Analysis of simple and rapid parameters used to assess body fat, such as BMI, BAI, WHR, and WHtR, has shown that they are poor predictors of dyslipidemia in women with PCOS. In young women with PCOS, age appears to be a more reliable predictor of dyslipidemia.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2024-11-20
DOI
https://doi.org/10.3389/fendo.2024.1398017
Citations
6
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
3.22

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article

Interplay between lipid profile and anthropometric measures as indicators of cardiometabolic risk in women with polycystic ovary syndrome

Paweł Jagielski, Bartosz Hudzik, Barbara Zubelewicz‐Szkodzińska, Justyna Nowak et al.
6 citations
Frontiers in Endocrinology
Ovarian function and disorders
3.22
article

Interplay between lipid profile and anthropometric measures as indicators of cardiometabolic risk in women with polycystic ovary syndrome

Paweł Jagielski, Bartosz Hudzik, Barbara Zubelewicz‐Szkodzińska, Justyna Nowak, Marzena Jabczyk, Jakub Borszcz
article en
6 citations

Abstract

Analysis of simple and rapid parameters used to assess body fat, such as BMI, BAI, WHR, and WHtR, has shown that they are poor predictors of dyslipidemia in women with PCOS. In young women with PCOS, age appears to be a more reliable predictor of dyslipidemia.

Frontiers in EndocrinologyVol. 15
Jagiellonian University (PL), Medical University of Silesia (PL), Demetrix (Poland) (PL), Silesian Center for Heart Disease (PL)
Śląski Uniwersytet Medyczny, Uniwersytet Śląski w Katowicach
Zero hunger
Openalex Percentile: Top 8%
Ovarian function and disorders
3.22
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