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Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018

OBJECTIVE: The relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR). METHODS: In this cross-sectional study,...

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Autores principales: Shao, Ya, Li, Longti, Zhong, Huiqin, Wang, Xiaojun, Hua, Yu, Zhou, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526824/
https://www.ncbi.nlm.nih.gov/pubmed/37772076
http://dx.doi.org/10.3389/fendo.2023.1232896
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author Shao, Ya
Li, Longti
Zhong, Huiqin
Wang, Xiaojun
Hua, Yu
Zhou, Xu
author_facet Shao, Ya
Li, Longti
Zhong, Huiqin
Wang, Xiaojun
Hua, Yu
Zhou, Xu
author_sort Shao, Ya
collection PubMed
description OBJECTIVE: The relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR). METHODS: In this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone. RESULTS: The study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR. CONCLUSION: Maintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR.
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spelling pubmed-105268242023-09-28 Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 Shao, Ya Li, Longti Zhong, Huiqin Wang, Xiaojun Hua, Yu Zhou, Xu Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR). METHODS: In this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone. RESULTS: The study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR. CONCLUSION: Maintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR. Frontiers Media S.A. 2023-09-13 /pmc/articles/PMC10526824/ /pubmed/37772076 http://dx.doi.org/10.3389/fendo.2023.1232896 Text en Copyright © 2023 Shao, Li, Zhong, Wang, Hua and Zhou 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
Shao, Ya
Li, Longti
Zhong, Huiqin
Wang, Xiaojun
Hua, Yu
Zhou, Xu
Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title_full Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title_fullStr Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title_full_unstemmed Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title_short Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
title_sort anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: nhanes 2011-2018
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526824/
https://www.ncbi.nlm.nih.gov/pubmed/37772076
http://dx.doi.org/10.3389/fendo.2023.1232896
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