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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5330152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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