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A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults

BACKGROUND: Recent studies have shown the enhanced diagnostic capability of the waist-to-height ratio (WHtR) over BMI. However, while a structured cutoff hierarchy has been established for BMI, a rigorous analysis to define individuals as obese using the WHtR has not been performed on a sample of Am...

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Autores principales: Bohr, Adam D., Laurson, Kelly, McQueen, Matthew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818465/
https://www.ncbi.nlm.nih.gov/pubmed/27036488
http://dx.doi.org/10.1186/s12889-016-2964-6
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author Bohr, Adam D.
Laurson, Kelly
McQueen, Matthew B.
author_facet Bohr, Adam D.
Laurson, Kelly
McQueen, Matthew B.
author_sort Bohr, Adam D.
collection PubMed
description BACKGROUND: Recent studies have shown the enhanced diagnostic capability of the waist-to-height ratio (WHtR) over BMI. However, while a structured cutoff hierarchy has been established for BMI, a rigorous analysis to define individuals as obese using the WHtR has not been performed on a sample of American adults. This study attempts to establish a cutoff for the WHtR using metabolic syndrome as the outcome. METHODS: The study sample consisted of individuals that were part of the National Longitudinal Study of Adolescent Health (Add Health). The final sample for analysis consisted of 7 935 participants (3 469 males, 4 466 females) that were complete respondents for the variables of interest at Wave IV. The participants ranged from 24.55-33.60 years. Weighted and unweighted receiver operator characteristics (ROC) analyses were performed predicting metabolic syndrome from the WHtR. Cutoffs were chosen using the Youden index. The derived cutoffs were validated by logistic regression analysis on the Add Health participants and an external sample of 1 236 participants from the National Health and Nutrition Examination Survey (NHANES). RESULTS: The ROC analysis resulted in a WHtR cutoff of 0.578 (Youden Index = 0.50) for the full sample of complete respondents, 0.578 (Youden Index = 0.55) for males only, and 0.580 (Youden Index = 0.50) for females only. The area under the curve was 0.798 (95 % CI (0.788, 0.809)) for the full sample of complete respondents, 0.833 (95 % CI (0.818, 0.848)) for males only, and 0.804 (95 % CI (0.791, 0.818)) for females only. Participants in the validation sample with a WHtR greater than the derived cutoff were more likely (Odds Ratio = 9.8, 95 % CI (6.2, 15.3)) to have metabolic syndrome than those that were not. CONCLUSION: A WHtR cutoff of 0.580 is optimal for discriminating individuals with metabolic syndrome in two nationally representative samples of young adults. This cutoff is an improvement over a previously recommended cutoff of 0.5 as well as other cutoffs derived from international samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2964-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-48184652016-04-03 A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults Bohr, Adam D. Laurson, Kelly McQueen, Matthew B. BMC Public Health Research Article BACKGROUND: Recent studies have shown the enhanced diagnostic capability of the waist-to-height ratio (WHtR) over BMI. However, while a structured cutoff hierarchy has been established for BMI, a rigorous analysis to define individuals as obese using the WHtR has not been performed on a sample of American adults. This study attempts to establish a cutoff for the WHtR using metabolic syndrome as the outcome. METHODS: The study sample consisted of individuals that were part of the National Longitudinal Study of Adolescent Health (Add Health). The final sample for analysis consisted of 7 935 participants (3 469 males, 4 466 females) that were complete respondents for the variables of interest at Wave IV. The participants ranged from 24.55-33.60 years. Weighted and unweighted receiver operator characteristics (ROC) analyses were performed predicting metabolic syndrome from the WHtR. Cutoffs were chosen using the Youden index. The derived cutoffs were validated by logistic regression analysis on the Add Health participants and an external sample of 1 236 participants from the National Health and Nutrition Examination Survey (NHANES). RESULTS: The ROC analysis resulted in a WHtR cutoff of 0.578 (Youden Index = 0.50) for the full sample of complete respondents, 0.578 (Youden Index = 0.55) for males only, and 0.580 (Youden Index = 0.50) for females only. The area under the curve was 0.798 (95 % CI (0.788, 0.809)) for the full sample of complete respondents, 0.833 (95 % CI (0.818, 0.848)) for males only, and 0.804 (95 % CI (0.791, 0.818)) for females only. Participants in the validation sample with a WHtR greater than the derived cutoff were more likely (Odds Ratio = 9.8, 95 % CI (6.2, 15.3)) to have metabolic syndrome than those that were not. CONCLUSION: A WHtR cutoff of 0.580 is optimal for discriminating individuals with metabolic syndrome in two nationally representative samples of young adults. This cutoff is an improvement over a previously recommended cutoff of 0.5 as well as other cutoffs derived from international samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2964-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-01 /pmc/articles/PMC4818465/ /pubmed/27036488 http://dx.doi.org/10.1186/s12889-016-2964-6 Text en © Bohr et al. 2016 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 Article
Bohr, Adam D.
Laurson, Kelly
McQueen, Matthew B.
A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title_full A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title_fullStr A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title_full_unstemmed A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title_short A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults
title_sort novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young american adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818465/
https://www.ncbi.nlm.nih.gov/pubmed/27036488
http://dx.doi.org/10.1186/s12889-016-2964-6
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