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A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk

BACKGROUND AND AIMS: It is commonly accepted that body fat distribution is associated with hypertension, but the strongest anthropometric indicator of the risk of hypertension is still controversial. Furthermore, no studies on the association of hypotension with anthropometric indices have been repo...

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Autores principales: Lee, Bum Ju, Kim, Jong Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900406/
https://www.ncbi.nlm.nih.gov/pubmed/24465449
http://dx.doi.org/10.1371/journal.pone.0084897
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author Lee, Bum Ju
Kim, Jong Yeol
author_facet Lee, Bum Ju
Kim, Jong Yeol
author_sort Lee, Bum Ju
collection PubMed
description BACKGROUND AND AIMS: It is commonly accepted that body fat distribution is associated with hypertension, but the strongest anthropometric indicator of the risk of hypertension is still controversial. Furthermore, no studies on the association of hypotension with anthropometric indices have been reported. The objectives of the present study were to determine the best predictors of hypertension and hypotension among various anthropometric indices and to assess the use of combined indices as a method of improving the predictive power in adult Korean women and men. METHODS: For 12789 subjects 21–85 years of age, we assessed 41 anthropometric indices using statistical analyses and data mining techniques to determine their ability to discriminate between hypertension and normotension as well as between hypotension and normotension. We evaluated the predictive power of combined indices using two machine learning algorithms and two variable subset selection techniques. RESULTS: The best indicator for predicting hypertension was rib circumference in both women (p = <0.0001; OR = 1.813; AUC = 0.669) and men (p = <0.0001; OR = 1.601; AUC = 0.627); for hypotension, the strongest predictor was chest circumference in women (p = <0.0001; OR = 0.541; AUC = 0.657) and neck circumference in men (p = <0.0001; OR = 0.522; AUC = 0.672). In experiments using combined indices, the areas under the receiver operating characteristic curves (AUC) for the prediction of hypertension risk in women and men were 0.721 and 0.652, respectively, according to the logistic regression with wrapper-based variable selection; for hypotension, the corresponding values were 0.675 in women and 0.737 in men, according to the naïve Bayes with wrapper-based variable selection. CONCLUSIONS: The best indicators of the risk of hypertension and the risk of hypotension may differ. The use of combined indices seems to slightly improve the predictive power for both hypertension and hypotension.
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spelling pubmed-39004062014-01-24 A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk Lee, Bum Ju Kim, Jong Yeol PLoS One Research Article BACKGROUND AND AIMS: It is commonly accepted that body fat distribution is associated with hypertension, but the strongest anthropometric indicator of the risk of hypertension is still controversial. Furthermore, no studies on the association of hypotension with anthropometric indices have been reported. The objectives of the present study were to determine the best predictors of hypertension and hypotension among various anthropometric indices and to assess the use of combined indices as a method of improving the predictive power in adult Korean women and men. METHODS: For 12789 subjects 21–85 years of age, we assessed 41 anthropometric indices using statistical analyses and data mining techniques to determine their ability to discriminate between hypertension and normotension as well as between hypotension and normotension. We evaluated the predictive power of combined indices using two machine learning algorithms and two variable subset selection techniques. RESULTS: The best indicator for predicting hypertension was rib circumference in both women (p = <0.0001; OR = 1.813; AUC = 0.669) and men (p = <0.0001; OR = 1.601; AUC = 0.627); for hypotension, the strongest predictor was chest circumference in women (p = <0.0001; OR = 0.541; AUC = 0.657) and neck circumference in men (p = <0.0001; OR = 0.522; AUC = 0.672). In experiments using combined indices, the areas under the receiver operating characteristic curves (AUC) for the prediction of hypertension risk in women and men were 0.721 and 0.652, respectively, according to the logistic regression with wrapper-based variable selection; for hypotension, the corresponding values were 0.675 in women and 0.737 in men, according to the naïve Bayes with wrapper-based variable selection. CONCLUSIONS: The best indicators of the risk of hypertension and the risk of hypotension may differ. The use of combined indices seems to slightly improve the predictive power for both hypertension and hypotension. Public Library of Science 2014-01-23 /pmc/articles/PMC3900406/ /pubmed/24465449 http://dx.doi.org/10.1371/journal.pone.0084897 Text en © 2014 Lee, Kim http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, Bum Ju
Kim, Jong Yeol
A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title_full A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title_fullStr A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title_full_unstemmed A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title_short A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
title_sort comparison of the predictive power of anthropometric indices for hypertension and hypotension risk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900406/
https://www.ncbi.nlm.nih.gov/pubmed/24465449
http://dx.doi.org/10.1371/journal.pone.0084897
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