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

Published online by Cambridge University Press:  03 February 2022

Victor M. Oguoma ,
Neil T. Coffee ,
Saad Alsharrah ,
Mohamed Abu-Farha ,
Faisal H. Al-Refaei ,
Abdullah Alkandari ,
Fahd Al-Mulla  and
Mark Daniel
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Type
Corrigendum
Information
British Journal of Nutrition , Volume 128 , Issue 1 , 14 July 2022 , pp. 160
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://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.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Details of correction: reverse labels/legends for Figures 1 and 2

Existing text:

Fig. 1. Non-linear relationship between (a) waist circumference (WC), (b) waist:height ratio (WHtR) and (c) BMI; and diabetes and ≥3 CVD risk factors across sex and ethnic group. M, Arab; F, Arab; M, South Asia; F, South Asia.

Fig. 2. Areas under the receiver operating characteristics (AUROC) curves for (a) waist circumference (WC), (b) waist:height ratio (WHtR) and (c) BMI, across sex and ethnic group. Arab; South Asia.

Corrected text should read:

Fig. 1. Areas under the receiver operating characteristics (AUROC) curves for (a) waist circumference (WC), (b) waist:height ratio (WHtR) and (c) BMI, across sex and ethnic group. Arab; South Asia.

Fig. 2. Non-linear relationship between (a) waist circumference (WC), (b) waist:height ratio (WHtR) and (c) BMI; and diabetes and ≥3 CVD risk factors across sex and ethnic group. M, Arab; F, Arab; M, South Asia; F, South Asia.