Janatin Hastuti1, Masaharu Kagawa2, Nuala M Byrne3, Andrew P Hills3. 1. Lab. of Bioanthropology and Paleoanthropology, Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia. Email: janatin.hastuti@ugm.ac.id. 2. Institute of Nutrition Sciences, Kagawa Nutrition University, Japan. 3. School of Health Sciences, University of Tasmania, Australia.
Abstract
BACKGROUND AND OBJECTIVES: Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR) have increasingly been used as screening tools for obesity. However, optimal cut-off values may be different between populations. The current study determined the optimum cut-off values for BMI, WC, WHR, and WSR for obesity screening in Indonesian adults using receiver-operating characteristic (ROC) analysis. METHODS AND STUDY DESIGN: Stature, body weight, waist and hip circumferences were measured on 600 Indonesians aged 18-65 years (males, n=292; females, n=308) and BMI, WHR, and WSR calculated. Percentage of body fat (%BF) was determined using the deuterium isotope (D2O) dilution technique. Some existing cut-off points for obesity determination were evaluated for sensitivity and specificity. RESULTS: The existing cutoff values showed low sensitivity in our sample (between 18.4 and 71.1%) and new proposed cut-offs increased the sensitivity to reach 66.7 to 88.5%. The new cut-offs for BMI, WC, WHR, and WSR for determination of obesity were 21.9 (kg/m2), 76.8 (cm), 0.86, and 0.48, respectively, for males and 23.6 (kg/m2), 71.7 (cm), 0.77, and 0.47, respectively, for females. CONCLUSIONS: WC and WSR are the most predictive both for males and females, and therefore are considered as better screening tools for obesity in this population.
BACKGROUND AND OBJECTIVES: Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR) have increasingly been used as screening tools for obesity. However, optimal cut-off values may be different between populations. The current study determined the optimum cut-off values for BMI, WC, WHR, and WSR for obesity screening in Indonesian adults using receiver-operating characteristic (ROC) analysis. METHODS AND STUDY DESIGN: Stature, body weight, waist and hip circumferences were measured on 600 Indonesians aged 18-65 years (males, n=292; females, n=308) and BMI, WHR, and WSR calculated. Percentage of body fat (%BF) was determined using the deuterium isotope (D2O) dilution technique. Some existing cut-off points for obesity determination were evaluated for sensitivity and specificity. RESULTS: The existing cutoff values showed low sensitivity in our sample (between 18.4 and 71.1%) and new proposed cut-offs increased the sensitivity to reach 66.7 to 88.5%. The new cut-offs for BMI, WC, WHR, and WSR for determination of obesity were 21.9 (kg/m2), 76.8 (cm), 0.86, and 0.48, respectively, for males and 23.6 (kg/m2), 71.7 (cm), 0.77, and 0.47, respectively, for females. CONCLUSIONS: WC and WSR are the most predictive both for males and females, and therefore are considered as better screening tools for obesity in this population.
Authors: Cahya Utamie Pujilestari; Lennarth Nyström; Margareta Norberg; Nawi Ng Journal: Int J Environ Res Public Health Date: 2019-01-03 Impact factor: 3.390