Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program

Victor Oguoma; Neil T. Coffee; Saad Alsharrah; Mohamed Abu-Farha; Faisal H. Al-Refaei; Abdullah Alkandari; Fahd Al-Mulla; Mark Daniel

doi:10.1017/S0007114521000751

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Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program

Journal article

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Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program

Victor Oguoma, Neil T. Coffee, Saad Alsharrah, Mohamed Abu-Farha, Faisal H. Al-Refaei, Abdullah Alkandari, Fahd Al-Mulla and Mark Daniel

British Journal of Nutrition, Vol.127(1), pp.92-102

2022

DOI: https://doi.org/10.1017/S0007114521000751

PMID: 33658089

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Abstract

metabolic syndrome

waist circumference

waist:height ratio

BMI

Kuwait

This study aimed to determine anthropometric cut-points for screening diabetes and the metabolic syndrome (MetS) in Arab and South Asian ethnic groups in Kuwait and to compare the prevalence of the MetS based on the ethnic-specific waist circumference (WC) cut-point and the International Diabetes Federation (IDF) and American Heart Association/National Heart, Lung, and Blood Institute WC criteria. The national population-based survey data set of diabetes and obesity in Kuwait adults aged 18-60 years was analysed. Age-adjusted logistic regression and receiver operating characteristic (ROC) analyses were conducted to evaluate for 3589 individuals the utility of WC, waist:height ratio (WHtR) and BMI to discriminate both diabetes and ≥3 CVD risk factors. Areas under the ROC curve were similar for WC, WHtR and BMI. In Arab men, WC, WHtR and BMI cut-offs for diabetes were 106 cm, 0·55 and 28 kg/m2 and for ≥3 CVD risk factors, 97 cm, 0·55 and 28 kg/m2, respectively. In Arab women, cut-offs for diabetes were 107 cm, 0·65 and 33 kg/m2 and for ≥3 CVD risk factors, 93 cm, 0·60 and 30 kg/m2, respectively. WC cut-offs were higher for South Asian women than men. IDF-based WC cut-offs corresponded to a higher prevalence of the MetS across sex and ethnic groups, compared with Kuwait-specific cut-offs. Any of the assessed anthropometric indices can be used in screening of diabetes and ≥3 CVD risk factors in Kuwaiti Arab and Asian populations. ROC values were similar. The WC threshold for screening the MetS in Kuwaiti Arabs and South Asians is higher for women.

Details

Title: Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program
Authors: Victor Oguoma (Corresponding Author) - University of Canberra
Neil T. Coffee - University of Canberra
Saad Alsharrah - University of Canberra
Mohamed Abu-Farha - Dasman Diabetes Institute
Faisal H. Al-Refaei - Dasman Diabetes Institute
Abdullah Alkandari - Dasman Diabetes Institute
Fahd Al-Mulla - Dasman Diabetes Institute
Mark Daniel - University of Canberra
Publication details: British Journal of Nutrition, Vol.127(1), pp.92-102
Publisher: Cambridge University Press
Date published: 2022
DOI: 10.1017/S0007114521000751
ISSN: 1475-2662; 0007-1145
PMID: 33658089
Copyright note: © The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Grant note: We thank the Kuwait Foundation for the Advancement of Sciences for providing funding to support this study.
Organisation Unit: Thompson Institute
Language: English
Record Identifier: 991120252102621
Output Type: Journal article

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Web Of Science research areas: Nutrition & Dietetics

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