ASSESSMENT OF BODY COMPOSITION PARAMETERS AND ITS ASSOCIATION WITH SERUM URIC ACID IN WOMEN WITH POLYCYSTIC OVARY SYNDROME- A CASE-CONTROL BASED EXPLORATORY STUDY

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Ms. Shraddha Shivakumar
Dr. Asna Urooj

Abstract

Background: Polycystic ovary syndrome (PCOS) is a common endocrine issue in pre-menopausal women, but bio-impedance measurements of body composition parameters and serum uric acid (SUA) concentrations in South Indian women with PCOS are scarce.


Objective: The aim of the study was to compare the body composition and serum uric acid levels of PCOS and non-PCOS women. Additionally, it explored potential body composition predictors of SUA in respective groups.


Materials and methods: This case-control based exploratory study recruited PCOS = 25 from a private clinic and non-PCOS = 25, aged 20–30 years. Participants' body composition was measured using bio-impedance (Inbody770, Korea) and SUA enzymatically, after informed consent. Suitable parametric tests are used to interpret the data using SPSS.


Results: This preliminary investigation found that the obesity predictors: body fat mass, percent body fat, visceral fat area, and waist and hip circumferences were all significantly higher in the PCOS group (p< 0.05). The extracellular mass/body cell mass ratio, the extracellular water/total body water ratio, and the circumferences of the neck, arm, and arm muscle all differed significantly between groups (p< 0.05). Despite both groups having SUA levels within 6 mg/dL, PCOS women had significantly higher SUA (p = 0.006). The relationship of SUA with body composition parameters differed between the groups, which may be further investigated.


Conclusion: This preliminary study encourages future research on obesity predictors and SUA, seeking a non-invasive, body composition-based SUA predictor in the South Indian PCOS group and its mechanistic interpretations.


Keywords: Polycystic ovary syndrome; Body composition; Electric impedance; Uric acid; Intra-abdominal fat

Published Dec 17, 2022

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