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Determination of new anthropometric cut-off values for obesity screening in Indonesian adults


Hastuti, J and Kagawa, M and Byrne, N and Hills, AP, Determination of new anthropometric cut-off values for obesity screening in Indonesian adults, Asia Pacific Journal of Clinical Nutrition, 26, (4) pp. 650-656. ISSN 0964-7058 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 Asia Pacific Journal of Clinical Nutrition

DOI: doi:10.6133/apjcn.072016.09


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.

Item Details

Item Type:Refereed Article
Keywords:anthropometric measures, cut-off values, obesity screening, percentage of body fat, Indonesian adults
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Public Health and Health Services not elsewhere classified
Objective Division:Health
Objective Group:Health and Support Services
Objective Field:Health and Support Services not elsewhere classified
UTAS Author:Byrne, N (Professor Nuala Byrne)
UTAS Author:Hills, AP (Professor Andrew Hills)
ID Code:117762
Year Published:2017
Web of Science® Times Cited:8
Deposited By:Health Sciences
Deposited On:2017-06-27
Last Modified:2018-09-26

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