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Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China
BACKGROUND: Atherogenic index of plasma (AIP) has been reported to be associated with cardiovascular diseases. However no study has yet systematically evaluated the association between AIP and obesity and its advantage in obesity prediction compared with conventional lipid components. METHODS: A tot...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836428/ https://www.ncbi.nlm.nih.gov/pubmed/29506577 http://dx.doi.org/10.1186/s12944-018-0686-8 |
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author | Zhu, Xiaowei Yu, Lugang Zhou, Hui Ma, Qinhua Zhou, Xiaohua Lei, Ting Hu, Jiarong Xu, Wenxin Yi, Nengjun Lei, Shufeng |
author_facet | Zhu, Xiaowei Yu, Lugang Zhou, Hui Ma, Qinhua Zhou, Xiaohua Lei, Ting Hu, Jiarong Xu, Wenxin Yi, Nengjun Lei, Shufeng |
author_sort | Zhu, Xiaowei |
collection | PubMed |
description | BACKGROUND: Atherogenic index of plasma (AIP) has been reported to be associated with cardiovascular diseases. However no study has yet systematically evaluated the association between AIP and obesity and its advantage in obesity prediction compared with conventional lipid components. METHODS: A total of 6465 participants aged over 30 years were included in this study. Blood lipid components including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured, and AIP was calculated as log(10)(TG/HDL-C). Pearson correlation analyses, multivariable logistic analyses and predictive analyses were used to evaluate the association and discrimination ability between AIP, four conventional lipid profiles and obesity. RESULTS: Subjects in the higher quartiles of AIP all had a significantly increased risk of obesity compared with those in the lowest quartile (P for trend< 0.01). AIP showed a stronger association with obesity than the conventional lipid components as the pearson coefficient reached up to 0.372 and the adjusted odds ratio was 5.55. Using AIP rather than HDL-C and TG significantly improved risk prediction for obesity (AUC improvement = 0.011, P = 0.011; Continuous net reclassification index = 29.55%, P < 0.01; Category net reclassification index = 6.06%; Integrated discrimination improvement = 0.68%, P < 0.01). CONCLUSIONS: Higher AIP level was positively and strongly associated with obesity. AIP is a novel and better biomarker associated with obesity. Controlling the AIP level would be more helpful for the prevention of obesity. |
format | Online Article Text |
id | pubmed-5836428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58364282018-03-07 Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China Zhu, Xiaowei Yu, Lugang Zhou, Hui Ma, Qinhua Zhou, Xiaohua Lei, Ting Hu, Jiarong Xu, Wenxin Yi, Nengjun Lei, Shufeng Lipids Health Dis Research BACKGROUND: Atherogenic index of plasma (AIP) has been reported to be associated with cardiovascular diseases. However no study has yet systematically evaluated the association between AIP and obesity and its advantage in obesity prediction compared with conventional lipid components. METHODS: A total of 6465 participants aged over 30 years were included in this study. Blood lipid components including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured, and AIP was calculated as log(10)(TG/HDL-C). Pearson correlation analyses, multivariable logistic analyses and predictive analyses were used to evaluate the association and discrimination ability between AIP, four conventional lipid profiles and obesity. RESULTS: Subjects in the higher quartiles of AIP all had a significantly increased risk of obesity compared with those in the lowest quartile (P for trend< 0.01). AIP showed a stronger association with obesity than the conventional lipid components as the pearson coefficient reached up to 0.372 and the adjusted odds ratio was 5.55. Using AIP rather than HDL-C and TG significantly improved risk prediction for obesity (AUC improvement = 0.011, P = 0.011; Continuous net reclassification index = 29.55%, P < 0.01; Category net reclassification index = 6.06%; Integrated discrimination improvement = 0.68%, P < 0.01). CONCLUSIONS: Higher AIP level was positively and strongly associated with obesity. AIP is a novel and better biomarker associated with obesity. Controlling the AIP level would be more helpful for the prevention of obesity. BioMed Central 2018-03-05 /pmc/articles/PMC5836428/ /pubmed/29506577 http://dx.doi.org/10.1186/s12944-018-0686-8 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 Zhu, Xiaowei Yu, Lugang Zhou, Hui Ma, Qinhua Zhou, Xiaohua Lei, Ting Hu, Jiarong Xu, Wenxin Yi, Nengjun Lei, Shufeng Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title | Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title_full | Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title_fullStr | Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title_full_unstemmed | Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title_short | Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China |
title_sort | atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836428/ https://www.ncbi.nlm.nih.gov/pubmed/29506577 http://dx.doi.org/10.1186/s12944-018-0686-8 |
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