Body Composition Technologies, Pty Ltd., South Perth, Western Australia, Australia; School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Crawley, Western Australia, Australia.
Eka Hospital, Pekanbaru, Indonesia.
Obes Res Clin Pract. 2021 Jan-Feb;15(1):26-32. doi: 10.1016/j.orcp.2020.11.003. Epub 2020 Nov 22.
Indonesia's dramatic rise in chronic disease belies their relatively low obesity prevalence. This study provides normative iDXA and anthropometry measures in an Indonesian cohort. We also compare obesity prevalence determined by traditional measures.
2623 Indonesian adults were measured by an iDXA and had waist and hip circumferences collected. Normative data were stratified by sex and age. Obesity prevalence was compared using body mass index (BMI) and body fat percentage (BF%). Specificity, sensitivity, and Youden's Index evaluated the ability of cut-off values to identify individuals with high visceral adipose tissue (VAT).
Overweight and obese prevalence by BF% was 72 % for males and 63 % for females. BMI incorrectly categorized 40 % of obese individuals as normal/overweight. Waist circumference provided the highest Youden's Index (0.69-0.73), identifying 91 % of Indonesians with high VAT mass.
Normative BF% and VAT mass are higher among Indonesians when compared with Caucasian populations. This highlights the rise of chronic disease is potentially due to high BF% and VAT mass. Compared with criterion iDXA BF%, obesity prevalence is severely underestimated by BMI. Measuring waist circumference is recommended in clinical settings due to its ability to identify participants with high VAT mass.
印度尼西亚慢性病发病率的急剧上升与其相对较低的肥胖患病率形成鲜明对比。本研究提供了印度尼西亚队列的 iDXA 和人体测量学的规范测量值。我们还比较了传统测量方法确定的肥胖患病率。
2623 名印度尼西亚成年人接受了 iDXA 测量,并测量了腰围和臀围。按性别和年龄分层制定了规范数据。使用体重指数(BMI)和体脂肪百分比(BF%)比较肥胖患病率。使用截断值评估特异性、敏感性和约登指数来识别具有高内脏脂肪组织(VAT)的个体的能力。
男性 BF%的超重和肥胖患病率为 72%,女性为 63%。BMI 错误地将 40%的肥胖个体归类为正常/超重。腰围提供了最高的约登指数(0.69-0.73),可识别 91%的印度尼西亚人具有高 VAT 质量。
与白种人群体相比,印度尼西亚人的 BF%和 VAT 质量更高。这突显了慢性病的增加可能是由于 BF%和 VAT 质量高所致。与标准 iDXA BF%相比,BMI 严重低估了肥胖的患病率。由于其识别具有高 VAT 质量的参与者的能力,因此建议在临床环境中测量腰围。