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Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia

BACKGROUND: It has been shown that obesity is associated with increased rates of dyslipidemia. The present work revisits the association between plasma lipid levels and classical indicators of obesity including body mass index (BMI). The significance of various anthropometric/metabolic variables in...

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Autores principales: Zaid, Muhammad, Ameer, Fatima, Munir, Rimsha, Rashid, Rida, Farooq, Nimrah, Hasnain, Shahida, Zaidi, Nousheen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330152/
https://www.ncbi.nlm.nih.gov/pubmed/28241855
http://dx.doi.org/10.1186/s40101-017-0134-x
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author Zaid, Muhammad
Ameer, Fatima
Munir, Rimsha
Rashid, Rida
Farooq, Nimrah
Hasnain, Shahida
Zaidi, Nousheen
author_facet Zaid, Muhammad
Ameer, Fatima
Munir, Rimsha
Rashid, Rida
Farooq, Nimrah
Hasnain, Shahida
Zaidi, Nousheen
author_sort Zaid, Muhammad
collection PubMed
description BACKGROUND: It has been shown that obesity is associated with increased rates of dyslipidemia. The present work revisits the association between plasma lipid levels and classical indicators of obesity including body mass index (BMI). The significance of various anthropometric/metabolic variables in clinical assessment of type and severity of dyslipidemia was also determined. Recently described body indices, a body shape index (ABSI) and body roundness index (BRI), were also assessed in this context. METHODS: For the present cross-sectional analytical study, the participants (n = 275) were recruited from the patients visiting different health camps. Participants were anthropometrically measured and interviewed, and their fasting intravenous blood was collected. Plasma lipid levels were accordingly determined. RESULTS: The values for different anthropometric parameters are significantly different between dyslipidemic and non-dyslipidemic participants. Receiver operating characteristics curve analyses revealed that all the tested variables gave the highest area under the curve (AUC) values for predicting hypertriglyceridemia in comparison to other plasma lipid abnormalities. BRI gave slightly higher AUC values in predicting different forms of dyslipidemia in comparison to BMI, whereas ABSI gave very low values. CONCLUSIONS: Several anthropometric/metabolic indices display increased predictive capabilities for detecting hypertriglyceridemia in comparison to any other form of plasma lipid disorders. The capacity of BRI to predict dyslipidemia was comparable but not superior to the classical indicators of obesity, whereas ABSI could not detect dyslipidemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40101-017-0134-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-53301522017-03-03 Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia Zaid, Muhammad Ameer, Fatima Munir, Rimsha Rashid, Rida Farooq, Nimrah Hasnain, Shahida Zaidi, Nousheen J Physiol Anthropol Original Article BACKGROUND: It has been shown that obesity is associated with increased rates of dyslipidemia. The present work revisits the association between plasma lipid levels and classical indicators of obesity including body mass index (BMI). The significance of various anthropometric/metabolic variables in clinical assessment of type and severity of dyslipidemia was also determined. Recently described body indices, a body shape index (ABSI) and body roundness index (BRI), were also assessed in this context. METHODS: For the present cross-sectional analytical study, the participants (n = 275) were recruited from the patients visiting different health camps. Participants were anthropometrically measured and interviewed, and their fasting intravenous blood was collected. Plasma lipid levels were accordingly determined. RESULTS: The values for different anthropometric parameters are significantly different between dyslipidemic and non-dyslipidemic participants. Receiver operating characteristics curve analyses revealed that all the tested variables gave the highest area under the curve (AUC) values for predicting hypertriglyceridemia in comparison to other plasma lipid abnormalities. BRI gave slightly higher AUC values in predicting different forms of dyslipidemia in comparison to BMI, whereas ABSI gave very low values. CONCLUSIONS: Several anthropometric/metabolic indices display increased predictive capabilities for detecting hypertriglyceridemia in comparison to any other form of plasma lipid disorders. The capacity of BRI to predict dyslipidemia was comparable but not superior to the classical indicators of obesity, whereas ABSI could not detect dyslipidemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40101-017-0134-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-28 /pmc/articles/PMC5330152/ /pubmed/28241855 http://dx.doi.org/10.1186/s40101-017-0134-x Text en © The Author(s). 2017 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 Original Article
Zaid, Muhammad
Ameer, Fatima
Munir, Rimsha
Rashid, Rida
Farooq, Nimrah
Hasnain, Shahida
Zaidi, Nousheen
Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title_full Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title_fullStr Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title_full_unstemmed Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title_short Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
title_sort anthropometric and metabolic indices in assessment of type and severity of dyslipidemia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330152/
https://www.ncbi.nlm.nih.gov/pubmed/28241855
http://dx.doi.org/10.1186/s40101-017-0134-x
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