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

Authors
  • Kurniawan, Liong Boy1
  • Syamsir, Bachtiar1,
  • Rahman, Ilham Akbar1
  • Adnan, Endy1
  • Esa, Tenri1
  • Widaningsih, Yuyun1
  • Bahrun, Uleng1
  • Arif, Mansyur1
  • 1 Hasanuddin University, Indonesia , (Indonesia)
Type
Published Article
Journal
Romanian Journal of Internal Medicine
Publisher
Sciendo
Publication Date
Aug 10, 2020
Volume
58
Issue
3
Pages
168–172
Identifiers
DOI: 10.2478/rjim-2020-0015
Source
De Gruyter
Keywords
License
Green

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%.

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