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Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females

Open Access
|Aug 2020

Abstract

Introduction. The prevalence of obesity is increasing worldwide in high, low, and middle-income countries such as Indonesia. Obesity rate is higher in females in Indonesia. Obesity has important contribution in the occurrence of insulin resistance (IR) and type 2 diabetes mellitus. Several anthropometric measurements such as waist circumference (WC), body mass index (BMI), body mass (BM), total body fat percentage (Fat%) and visceral fat (VF) are related to IR. This study aimed to investigate which of those measurements could be used as a better predictor of IR in non-menopausal Indonesian adult females.

Methods. Total of 80 non-menopausal Indonesian adult females ranging from 21 to 40 years were recruited in this study. Insulin resistance was measured by using Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) equation. Subjects with HOMA-IR index >75th percentile with cut-off 2.74 were defined as IR. Waist circumference, BMI and BM were measured, while TF and VF were measured by bioelectrical impedance analysis (BIA).

Results. HOMA-IR had significant correlation with WC (r = 0.563, p < 0.001), BMI (r = 0.537, p < 0.001), BM (r = 0.515, p < 0.001), VF (r = 0.515, p < 0.001), Fat% (r = 0.490, p < 0.001). The area under curve of VF (0.809), BMI (0.807), WC (0.805), and BM (0.799) are slightly larger than and Fat% (0.766).

Conclusion. Insulin resistance had strong correlation with all anthropometric measurements, but the correlation was less significant with Fat%.

DOI: https://doi.org/10.2478/rjim-2020-0015 | Journal eISSN: 2501-062X | Journal ISSN: 1220-4749
Language: English
Page range: 168 - 172
Submitted on: Apr 10, 2020
Published on: Aug 10, 2020
Published by: N.G. Lupu Internal Medicine Foundation
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2020 Liong Boy Kurniawan, Bachtiar Syamsir, Ilham Akbar Rahman, Endy Adnan, Tenri Esa, Yuyun Widaningsih, Uleng Bahrun, Mansyur Arif, published by N.G. Lupu Internal Medicine Foundation
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.