Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome

Anthropometric indices, particularly VAI, LAP, and BMI, reliably predicts glucose dysregulations and IR in women with PCOS. These simple, non-invasive measurements may serve as useful screening tools for early identifications of glucose dysregulation, aiding risk stratification and guiding further metabolic assessment.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2026-01-26
DOI
https://doi.org/10.3389/fendo.2025.1756679
Citations
1
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
41.95

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article

Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome

Paweł Jagielski, Marzena Jabczyk, Jakub Borszcz, Justyna Nowak et al.
1 citations
Frontiers in Endocrinology
Ovarian function and disorders
41.95
article

Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome

Paweł Jagielski, Marzena Jabczyk, Jakub Borszcz, Justyna Nowak, Barbara Zubelewicz-Szkodzińska
article en
1 citations

Abstract

Anthropometric indices, particularly VAI, LAP, and BMI, reliably predicts glucose dysregulations and IR in women with PCOS. These simple, non-invasive measurements may serve as useful screening tools for early identifications of glucose dysregulation, aiding risk stratification and guiding further metabolic assessment.

Frontiers in EndocrinologyVol. 16
Jagiellonian University (PL), Medical University of Silesia (PL), York District Hospital (US)
Uniwersytet Śląski w Katowicach
Openalex Percentile: Top 1%
Ovarian function and disorders
41.95
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