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
. 2023 Oct;73(Suppl 1):156-160.
doi: 10.1007/s13224-023-01834-z. Epub 2023 Sep 20.

Comparison of Central Fat Accumulation Indices with Body Mass Index in Women with Polycystic Ovary Syndrome

Affiliations

Comparison of Central Fat Accumulation Indices with Body Mass Index in Women with Polycystic Ovary Syndrome

Neha Singh et al. J Obstet Gynaecol India. 2023 Oct.

Abstract

Background: Polycystic ovary syndrome (PCOS) is an endocrinopathic disorder commonly affecting women in the reproductive age group, predisposing them to risk of metabolic syndrome. Currently, body mass index (BMI) is used as a marker to assess obesity. However, it is the central obesity which is a prevalent characteristic of PCOS which goes undetected in many women who exhibit an apparently lean PCOS. Recently, indices, such as body fat percentage (BFP), visceral adiposity index (VAI) and lipid accumulation product (LAP), have been deemed more effective, as they present formulas, anthropometric indices and biochemical measures. The aim of this study was to compare the other central fat accumulation indices-VAI, LAP and BFP with BMI in women with PCOS.

Methods: The descriptive type of cross-sectional study was conducted in a tertiary care hospital which included 110 women, aged 18-40 year fulfilling the Rotterdam criteria for diagnosis of polycystic ovary syndrome. Height, weight and lipid profile were measured, and BMI, LAP and VAI were calculated. Body fat percentage was measured by the body fat analyser using the bioelectrical impedance method. All indices were then compared.

Results: BMI showed a significant positive correlation with BFP (r = 0.68). VAI and LAP showed significant correlation with each other (p < 0.05). LAP and VAI were found to weakly correlate with BFP. However, lean PCOS also had higher values of visceral adiposity indices and hence did not show strong correlation.

Conclusion: Central fat accumulation indices should be integral in assessing body fat distribution. BFP, VAI and LAP assess fat distribution and function both and, hence, present complete information at low cost.

Keywords: Body fat percentage; Body mass index; Central fat accumulation indices; Lipid accumulation product; Polycystic ovary syndrome; Visceral adiposity index.

PubMed Disclaimer

Conflict of interest statement

Conflict of interestAuthors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Correlation of BMI with central fat accumulation indices
Fig. 2
Fig. 2
Correlation of central fat accumulation indices with each other

References

    1. Escobar-Morreale HF, San-Millan JL. Abdominal adiposity and the polycystic ovary syndrome. Trends Endocrinol Metab. 2007;18:266–272. doi: 10.1016/j.tem.2007.07.003. - DOI - PubMed
    1. Barber TM, Hanson P, Weickert MO, Franks S. Obesity and polycystic ovary syndrome: implications for pathogenesis and novel management strategies. Clin Med Insights Reprod Health. 2019;9(13):1179558119874042. doi: 10.1177/1179558119874042.PMID:31523137;PMCID:PMC6734597. - DOI - PMC - PubMed
    1. Ray L, Ravichandran K, Nanda SK. Comparison of lipid accumulation product index with body mass index and waist circumference as a predictor of metabolic syndrome in Indian population. MetabSyndrRelatDisord. 2018;16(5):240–245. - PubMed
    1. Wanderley Rocha DR, Jorge AR, Braulio VB, Arbex AK, Marcadenti A. Visceral adiposity measurements, metabolic and inflammatory profile in obese patients with and without type 2 diabetes mellitus: a cross-sectional analysis. Curr Diabetes Rev. 2017;13(1):11–18. doi: 10.2174/1573399812666151015115924. - DOI - PubMed
    1. NIH Office of Disease Prevention. Evidence-based Methodology Workshop on Polycystic Ovary Syndrome. 2012 Expert Panel Guidelines on PCOS. https://prevention.nih.gov/docs/programs/ pcos/FinalReport.pdf

LinkOut - more resources