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Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults
OBJECTIVE: To study the association between anthropometric indexes [lipid accumulation products (LAP), visceral obesity index (VAI), triglyceride and glucose index (TyG) and waist triglyceride index (WTI)] and metabolic syndrome (MetS) in a representative sample of American adult population surveyed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171391/ https://www.ncbi.nlm.nih.gov/pubmed/35685216 http://dx.doi.org/10.3389/fendo.2022.889785 |
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author | Li, Yaling Zheng, Rui Li, Shuting Cai, Ruyi Ni, Feihua Zheng, Huiyan Hu, Ruying Sun, Ting |
author_facet | Li, Yaling Zheng, Rui Li, Shuting Cai, Ruyi Ni, Feihua Zheng, Huiyan Hu, Ruying Sun, Ting |
author_sort | Li, Yaling |
collection | PubMed |
description | OBJECTIVE: To study the association between anthropometric indexes [lipid accumulation products (LAP), visceral obesity index (VAI), triglyceride and glucose index (TyG) and waist triglyceride index (WTI)] and metabolic syndrome (MetS) in a representative sample of American adult population surveyed by National Health and Nutrition Examination Survey (NHANES). METHODS: Cross-sectional data from the NHANES were used. Participants were adults aged 18–80 y from 1996–2006. MetS were defined by the updated National Cholesterol Education Program/Adult Treatment Panel III criteria (NCEP-ATP III) for Americans. Receiver operating characteristic (ROC) curve was drawn and the areas under the curve (AUC) were used to assess the ability of these indexes in screening MetS. Statistical differences among the AUC values of these indexes were compared. The association between the anthropometric indexes and MetS was investigated using weighted multivariable-adjusted logistic regression. RESULTS: 560 (35.2%) males and 529 (26.4%) females were diagnosed with MetS. LAP was the strongest predictor of MetS for men (AUC=0.87, 95% CI 0.85-0.89), and also was the strongest for women [AUC=0.85, 95% confidence interval (CI) 0.83-0.86], according to the ROC curve analysis. In men, differences in AUC values between LAP and other anthropometric indicators were also significant (all P<0.001). In women, there was a significant difference in AUC values between LAP and WTI (P<0.001), but differences in AUC values between LAP and TyG, VAI were not significant. CONCLUSION: The present study indicated that LAP is a better predictor in the clinical setting for identifying individuals with MetS in the American adult population. |
format | Online Article Text |
id | pubmed-9171391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91713912022-06-08 Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults Li, Yaling Zheng, Rui Li, Shuting Cai, Ruyi Ni, Feihua Zheng, Huiyan Hu, Ruying Sun, Ting Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To study the association between anthropometric indexes [lipid accumulation products (LAP), visceral obesity index (VAI), triglyceride and glucose index (TyG) and waist triglyceride index (WTI)] and metabolic syndrome (MetS) in a representative sample of American adult population surveyed by National Health and Nutrition Examination Survey (NHANES). METHODS: Cross-sectional data from the NHANES were used. Participants were adults aged 18–80 y from 1996–2006. MetS were defined by the updated National Cholesterol Education Program/Adult Treatment Panel III criteria (NCEP-ATP III) for Americans. Receiver operating characteristic (ROC) curve was drawn and the areas under the curve (AUC) were used to assess the ability of these indexes in screening MetS. Statistical differences among the AUC values of these indexes were compared. The association between the anthropometric indexes and MetS was investigated using weighted multivariable-adjusted logistic regression. RESULTS: 560 (35.2%) males and 529 (26.4%) females were diagnosed with MetS. LAP was the strongest predictor of MetS for men (AUC=0.87, 95% CI 0.85-0.89), and also was the strongest for women [AUC=0.85, 95% confidence interval (CI) 0.83-0.86], according to the ROC curve analysis. In men, differences in AUC values between LAP and other anthropometric indicators were also significant (all P<0.001). In women, there was a significant difference in AUC values between LAP and WTI (P<0.001), but differences in AUC values between LAP and TyG, VAI were not significant. CONCLUSION: The present study indicated that LAP is a better predictor in the clinical setting for identifying individuals with MetS in the American adult population. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9171391/ /pubmed/35685216 http://dx.doi.org/10.3389/fendo.2022.889785 Text en Copyright © 2022 Li, Zheng, Li, Cai, Ni, Zheng, Hu and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Li, Yaling Zheng, Rui Li, Shuting Cai, Ruyi Ni, Feihua Zheng, Huiyan Hu, Ruying Sun, Ting Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title | Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title_full | Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title_fullStr | Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title_full_unstemmed | Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title_short | Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults |
title_sort | association between four anthropometric indexes and metabolic syndrome in us adults |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171391/ https://www.ncbi.nlm.nih.gov/pubmed/35685216 http://dx.doi.org/10.3389/fendo.2022.889785 |
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