{"title":"Association between metabolic score for visceral fat index and BMI-adjusted skeletal muscle mass index in American adults.","authors":"Yifan Zhou, Xiangjie Su, Haitao Tan, Jun Xiao","doi":"10.1186/s12944-025-02439-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The metabolic score for visceral fat (METS-VF) is a recently identified index for evaluating visceral fat, also referred to as abdominal obesity. The skeletal muscle mass index (SMI) serves as a critical measure for assessing muscle mass and sarcopenia. Both obesity and the reduction of muscle mass can significantly affect human health. However, research exploring the relationship between METS-VF and SMI remains limited. This study aims to investigate whether a association exists between these two indices, and if so, to elucidate the nature of their interactions.</p><p><strong>Methods: </strong>We conducted a cross-sectional study using data from the NHANES database, focusing on U.S. adults aged 20 years and older from 2013 to 2018. Controlling for relevant covariables, we primarily investigated the association between METS-VF and SMI values utilizing weighted multivariable linear regression models. Additionally, we assessed the diagnostic efficacy of METS-VF for sarcopenia.</p><p><strong>Results: </strong>A total of 3,594 participants were included in this study for analysis. The final adjusted model from the weighted multivariable linear regression indicated that METS-VF was negatively associated with SMI, with a coefficient of β = -0.13 (95% CI: -0.14, -0.12; P < 0.001). Subgroup analyses further demonstrated that this negative association was consistent across different populations. Notably, the negative association varied significantly between diabetic and nondiabetic population, as well as among populations classified by different BMI categories. Additionally, threshold effect analysis identified a significant inflection knot at 6.33. The characteristic curves of the subjects' work illustrated that, compared to other indicators, METS-VF exhibited excellent diagnostic efficacy for sarcopenia, with an area under the curve (AUC) of 0.825.</p><p><strong>Conclusion: </strong>Our results indicate that METS-VF is negatively correlated with SMI among adults in the United States, suggesting that visceral obesity exerts a detrimental effect on muscle mass. Furthermore, METS-VF shows potential as a valuable indicator for assessing SMI and sarcopenia. These findings underscore the importance of considering lipid metabolism disorders in the context of muscle health and highlight the potential for developing prevention strategies for sarcopenia.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"29"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11773733/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lipids in Health and Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12944-025-02439-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The metabolic score for visceral fat (METS-VF) is a recently identified index for evaluating visceral fat, also referred to as abdominal obesity. The skeletal muscle mass index (SMI) serves as a critical measure for assessing muscle mass and sarcopenia. Both obesity and the reduction of muscle mass can significantly affect human health. However, research exploring the relationship between METS-VF and SMI remains limited. This study aims to investigate whether a association exists between these two indices, and if so, to elucidate the nature of their interactions.
Methods: We conducted a cross-sectional study using data from the NHANES database, focusing on U.S. adults aged 20 years and older from 2013 to 2018. Controlling for relevant covariables, we primarily investigated the association between METS-VF and SMI values utilizing weighted multivariable linear regression models. Additionally, we assessed the diagnostic efficacy of METS-VF for sarcopenia.
Results: A total of 3,594 participants were included in this study for analysis. The final adjusted model from the weighted multivariable linear regression indicated that METS-VF was negatively associated with SMI, with a coefficient of β = -0.13 (95% CI: -0.14, -0.12; P < 0.001). Subgroup analyses further demonstrated that this negative association was consistent across different populations. Notably, the negative association varied significantly between diabetic and nondiabetic population, as well as among populations classified by different BMI categories. Additionally, threshold effect analysis identified a significant inflection knot at 6.33. The characteristic curves of the subjects' work illustrated that, compared to other indicators, METS-VF exhibited excellent diagnostic efficacy for sarcopenia, with an area under the curve (AUC) of 0.825.
Conclusion: Our results indicate that METS-VF is negatively correlated with SMI among adults in the United States, suggesting that visceral obesity exerts a detrimental effect on muscle mass. Furthermore, METS-VF shows potential as a valuable indicator for assessing SMI and sarcopenia. These findings underscore the importance of considering lipid metabolism disorders in the context of muscle health and highlight the potential for developing prevention strategies for sarcopenia.
期刊介绍:
Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds.
Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.