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A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents

BACKGROUND: The lipid accumulation product (LAP) is a powerful marker for predicting metabolic syndrome (MS) in adults. The present study aimed to propose a novel indicator, the children’s lipid accumulation product (CLAP), and to assess its association with MS among Chinese children and adolescents...

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Autores principales: Zhang, Yifei, Hu, Jingyao, Li, Zhiqiang, Li, Ting, Chen, Manman, Wu, Lu, Liu, Wenmin, Han, Hui, Yao, Rongying, Fu, Lianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791402/
https://www.ncbi.nlm.nih.gov/pubmed/31632117
http://dx.doi.org/10.2147/DMSO.S221786
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author Zhang, Yifei
Hu, Jingyao
Li, Zhiqiang
Li, Ting
Chen, Manman
Wu, Lu
Liu, Wenmin
Han, Hui
Yao, Rongying
Fu, Lianguo
author_facet Zhang, Yifei
Hu, Jingyao
Li, Zhiqiang
Li, Ting
Chen, Manman
Wu, Lu
Liu, Wenmin
Han, Hui
Yao, Rongying
Fu, Lianguo
author_sort Zhang, Yifei
collection PubMed
description BACKGROUND: The lipid accumulation product (LAP) is a powerful marker for predicting metabolic syndrome (MS) in adults. The present study aimed to propose a novel indicator, the children’s lipid accumulation product (CLAP), and to assess its association with MS among Chinese children and adolescents. METHODS: A total of 683 Chinese children aged 8–15 years were recruited using a stratified cluster sampling method in this cross-sectional study. The presence of MS was defined according to the NCEP-ATP III criteria. The effects of BMI, WHtR and the CLAP for predicting MS were compared using logistic regression models and receiver operating characteristic (ROC) curves. RESULTS: The prevalence of MS was 5.1% (6.6% and 3.5% among boys and girls, respectively). Overall obesity (based on BMI), abdominal obesity (based on WHtR) and CLAP≥P75 were significantly associated with an increased risk of MS (ORs (95% CIs) were 143.79 (18.78–1101.22), 86.83 (27.19–277.27), 150.75 (20.11–1130.19), respectively). The area under the ROC curve (AUC) for the CLAP was higher than that for BMI and WHtR for predicting MS, with AUC (95% CI) values of 0.944 (0.913–0.975), 0.895 (0.864–0.927), and 0.928 (0.903–0.953), respectively. CONCLUSION: The children’s lipid accumulation product (CLAP) was an effective indicator associated with MS in Chinese children and adolescents and was better than BMI and WHtR for predicting MS.
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spelling pubmed-67914022019-10-18 A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents Zhang, Yifei Hu, Jingyao Li, Zhiqiang Li, Ting Chen, Manman Wu, Lu Liu, Wenmin Han, Hui Yao, Rongying Fu, Lianguo Diabetes Metab Syndr Obes Original Research BACKGROUND: The lipid accumulation product (LAP) is a powerful marker for predicting metabolic syndrome (MS) in adults. The present study aimed to propose a novel indicator, the children’s lipid accumulation product (CLAP), and to assess its association with MS among Chinese children and adolescents. METHODS: A total of 683 Chinese children aged 8–15 years were recruited using a stratified cluster sampling method in this cross-sectional study. The presence of MS was defined according to the NCEP-ATP III criteria. The effects of BMI, WHtR and the CLAP for predicting MS were compared using logistic regression models and receiver operating characteristic (ROC) curves. RESULTS: The prevalence of MS was 5.1% (6.6% and 3.5% among boys and girls, respectively). Overall obesity (based on BMI), abdominal obesity (based on WHtR) and CLAP≥P75 were significantly associated with an increased risk of MS (ORs (95% CIs) were 143.79 (18.78–1101.22), 86.83 (27.19–277.27), 150.75 (20.11–1130.19), respectively). The area under the ROC curve (AUC) for the CLAP was higher than that for BMI and WHtR for predicting MS, with AUC (95% CI) values of 0.944 (0.913–0.975), 0.895 (0.864–0.927), and 0.928 (0.903–0.953), respectively. CONCLUSION: The children’s lipid accumulation product (CLAP) was an effective indicator associated with MS in Chinese children and adolescents and was better than BMI and WHtR for predicting MS. Dove 2019-10-10 /pmc/articles/PMC6791402/ /pubmed/31632117 http://dx.doi.org/10.2147/DMSO.S221786 Text en © 2019 Zhang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhang, Yifei
Hu, Jingyao
Li, Zhiqiang
Li, Ting
Chen, Manman
Wu, Lu
Liu, Wenmin
Han, Hui
Yao, Rongying
Fu, Lianguo
A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title_full A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title_fullStr A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title_full_unstemmed A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title_short A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents
title_sort novel indicator of lipid accumulation product associated with metabolic syndrome in chinese children and adolescents
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791402/
https://www.ncbi.nlm.nih.gov/pubmed/31632117
http://dx.doi.org/10.2147/DMSO.S221786
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