Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2024 Apr;309(4):1643-1649.
doi: 10.1007/s00404-023-07328-7. Epub 2024 Feb 6.

The role of the visceral adiposity index in the assessment of metabolic syndrome of polycystic ovary syndrome patients: a new anthropometric index

Ana Luiza L Rocha  1   2 , Thais Baêta  3 , Isabel R Nazareth  3 , Julia M Costa  3 , Julia D Caporalli  3 , Maraisa A Oliveira  3 , Marina G Couto  3 , Rosana C Azevedo  4 , Fábio V Comim  4 , Flávia R Oliveira  3 , Fernando M Reis  3 , Ana L Cândido  4
Affiliations
Observational Study

The role of the visceral adiposity index in the assessment of metabolic syndrome of polycystic ovary syndrome patients: a new anthropometric index

Ana Luiza L Rocha et al. Arch Gynecol Obstet. 2024 Apr.

Abstract

Purpose: Polycystic ovary syndrome (PCOS) is a common endocrine disorder often linked to metabolic syndrome (MS), raising the risk of cardiovascular disease and type II diabetes. Certain indicators, such as the lipid accumulation product (LAP) and homeostatic model assessment for insulin resistance (HOMA-IR), can predict MS in PCOS patients. This study aimed to assess the predictive power of the visceral adiposity index (VAI) in comparison to LAP and HOMA-IR as predictors of MS in PCOS patients.

Methods: In this cross-sectional observational study, data from 317 diagnosed PCOS women were analyzed. VAI, LAP, and HOMA-IR were computed as indexes. Participants were categorized into two groups for index accuracy comparison: PCOS patients with and without MS. The data were assessed using a ROC curve.

Results: Among PCOS women with MS, 92.3% had abnormal VAI results, 94.5% had abnormal LAP results, and only 50.5% had abnormal HOMA-IR results. Conversely, the majority of PCOS women without MS had normal HOMA-IR (64.6%). When comparing these indexes using the ROC curve, VAI displayed the highest accuracy, followed by LAP and HOMA-IR.

Conclusion: The VAI index proved to be a superior predictor of metabolic MS in PCOS women when compared to other indexes.

Keywords: Cardiovascular risks; Metabolic Syndrome (MS); Polycystic ovary syndrome (PCOS); Type II diabetes; Visceral adiposity index (VAI).

PubMed Disclaimer

Similar articles

See all similar articles

Cited by

References

    1. Amato MC, Magistro A, Gambino G, Vesco R, Giordano C (2015) Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome. Eur J Endocrinol 172(1):79–88. https://doi.org/10.1530/EJE-14-0600 - DOI - PubMed
    1. ESHRE Rotterdam ASRM-Sponsored (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod 19:41–47 - DOI
    1. Mousa A, Tay CT, Teede H (2023) Technical report for the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Monash University, Melbourne
    1. Çakıroğlu Y, Vural F, Vural B (2016) The inflammatory markers in polycystic ovary syndrome: association with obesity and IVF outcomes. J Endocrinol Invest 39(8):899–907 - DOI - PubMed
    1. de Leo V, Musacchio MC, Cappelli V et al (2016) Genetic, hormonal and metabolic aspects of PCOS: an update. Reprod Biol Endocrinol 14(1):38 - DOI - PubMed - PMC

Publication types

LinkOut - more resources