Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yaling, Zheng, Rui, Li, Shuting, Cai, Ruyi, Ni, Feihua, Zheng, Huiyan, Hu, Ruying, Sun, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784721656668749824
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
work_keys_str_mv AT liyaling associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT zhengrui associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT lishuting associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT cairuyi associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT nifeihua associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT zhenghuiyan associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT huruying associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults
AT sunting associationbetweenfouranthropometricindexesandmetabolicsyndromeinusadults