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Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults

OBJECTIVE: Waist circumference has been identified as one of the strongest predictive tool for metabolic syndrome. This study determines the optimal cut-off point of waist circumference for metabolic syndrome among low-income earning South African black population, in Eastern Cape, South Africa. The...

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Autores principales: Owolabi, Eyitayo Omolara, Ter Goon, Daniel, Adeniyi, Oladele Vincent, Ajayi, Anthony Idowu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766973/
https://www.ncbi.nlm.nih.gov/pubmed/29329600
http://dx.doi.org/10.1186/s13104-018-3136-9
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author Owolabi, Eyitayo Omolara
Ter Goon, Daniel
Adeniyi, Oladele Vincent
Ajayi, Anthony Idowu
author_facet Owolabi, Eyitayo Omolara
Ter Goon, Daniel
Adeniyi, Oladele Vincent
Ajayi, Anthony Idowu
author_sort Owolabi, Eyitayo Omolara
collection PubMed
description OBJECTIVE: Waist circumference has been identified as one of the strongest predictive tool for metabolic syndrome. This study determines the optimal cut-off point of waist circumference for metabolic syndrome among low-income earning South African black population, in Eastern Cape, South Africa. The optimal waist circumference cut-off point was determined through receiver operating characteristics analysis using the maximum Youden index. RESULTS: Among men, waist circumference at a cut-off value of 95.25 cm yielded the highest Youden index of 0.773 (sensitivity = 98%, specificity = 79%, area under curve 0.893). For women, waist circumference of 89.45 cm yielded the highest Youden index of 0.339 (sensitivity = 88%, specificity = 46%, area under curve 0.713). The prevalence of metabolic syndrome among men, women and both sexes using the new cut-off points were: 17.8, 20.8 and 17.7%, respectively, compared to; 15.6, 24.8 and 21.8%, using the traditional cut-off values of 94 and 80 cm for men and women, respectively. The traditional waist circumference value slightly under-estimated the prevalence of metabolic syndrome among men and over-estimated among women and the overall population. A specific waist circumference cut-off point for South African blacks is needed for correct identification of the metabolic state of the populace in order to develop appropriate interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3136-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-57669732018-01-17 Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults Owolabi, Eyitayo Omolara Ter Goon, Daniel Adeniyi, Oladele Vincent Ajayi, Anthony Idowu BMC Res Notes Research Note OBJECTIVE: Waist circumference has been identified as one of the strongest predictive tool for metabolic syndrome. This study determines the optimal cut-off point of waist circumference for metabolic syndrome among low-income earning South African black population, in Eastern Cape, South Africa. The optimal waist circumference cut-off point was determined through receiver operating characteristics analysis using the maximum Youden index. RESULTS: Among men, waist circumference at a cut-off value of 95.25 cm yielded the highest Youden index of 0.773 (sensitivity = 98%, specificity = 79%, area under curve 0.893). For women, waist circumference of 89.45 cm yielded the highest Youden index of 0.339 (sensitivity = 88%, specificity = 46%, area under curve 0.713). The prevalence of metabolic syndrome among men, women and both sexes using the new cut-off points were: 17.8, 20.8 and 17.7%, respectively, compared to; 15.6, 24.8 and 21.8%, using the traditional cut-off values of 94 and 80 cm for men and women, respectively. The traditional waist circumference value slightly under-estimated the prevalence of metabolic syndrome among men and over-estimated among women and the overall population. A specific waist circumference cut-off point for South African blacks is needed for correct identification of the metabolic state of the populace in order to develop appropriate interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3136-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-12 /pmc/articles/PMC5766973/ /pubmed/29329600 http://dx.doi.org/10.1186/s13104-018-3136-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Note
Owolabi, Eyitayo Omolara
Ter Goon, Daniel
Adeniyi, Oladele Vincent
Ajayi, Anthony Idowu
Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title_full Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title_fullStr Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title_full_unstemmed Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title_short Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
title_sort optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black south african adults
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766973/
https://www.ncbi.nlm.nih.gov/pubmed/29329600
http://dx.doi.org/10.1186/s13104-018-3136-9
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