<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Introduction.</bold> 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.<bold>Methods.</bold> 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).<bold>Results.</bold> HOMA-IR had significant correlation with WC (r = 0.563, p &lt; 0.001), BMI (r = 0.537, p &lt; 0.001), BM (r = 0.515, p &lt; 0.001), VF (r = 0.515, p &lt; 0.001), Fat% (r = 0.490, p &lt; 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).<bold>Conclusion.</bold> Insulin resistance had strong correlation with all anthropometric measurements, but the correlation was less significant with Fat%.</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%.

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

Department of Clinical Pathology, Faculty of Medicine

Department of Internal Medicine, Faculty of Medicine

Romanian Journal of Internal Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Introduction. The prevalence of obesity is increasing worldwide in high, low, and middle-income countries such as Indonesia. Obesity rate is higher in females...

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

Publié en ligne: 10 août 2020

Pages: 168 - 172

Reçu: 10 avr. 2020

DOI: https://doi.org/10.2478/rjim-2020-0015

Mots clés
insulin resistance, anthropometric, female, non-menopausal

© 2020 Liong Boy Kurniawan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Publié en ligne: 10 août 2020

Pages: 168 - 172

Reçu: 10 avr. 2020

DOI: https://doi.org/10.2478/rjim-2020-0015

Mots clésinsulin resistance, anthropometric, female, non-menopausal

© 2020 Liong Boy Kurniawan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
insulin resistance, anthropometric, female, non-menopausal