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

journal contribution
posted on 2023-05-19, 06:23 authored by Hastuti, J, Kagawa, M, Nuala ByrneNuala Byrne, Andrew HillsAndrew Hills

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 (�) 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.

History

Publication title

Asia Pacific Journal of Clinical Nutrition

Volume

26

Issue

4

Pagination

650-656

ISSN

0964-7058

Department/School

School of Health Sciences

Publisher

HEC Press

Place of publication

Australia

Rights statement

Copyright 2016 Asia Pacific Journal of Clinical Nutrition

Repository Status

  • Restricted

Socio-economic Objectives

Evaluation of health and support services not elsewhere classified

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