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Association between the skeletal muscle mass to visceral fat area ratio and metabolic dysfunction‐associated fatty liver disease: A cross‐sectional study of <scp>NHANES</scp> 2017–2018

Zhiliang Mai, Yinfei Chen, Hua Mao, Lisheng Wang

2024Journal of Diabetes19 citationsDOIOpen Access PDF

Abstract

BACKGROUND AND AIMS: Previous studies have shown that sarcopenic obesity (SO) was associated with nonalcoholic fatty liver disease (NAFLD). However, research is limited in the context of the NAFLD renamed as metabolic dysfunction-associated steatotic liver disease (MASLD) defined by updated diagnostic criteria. The aim of this study was to use the index skeletal muscle mass to visceral fat area ratio (SVR) to describe SO in a large and representative US population (National Health and Nutrition Examination Survey 2017-2018) of adults and investigate their association with MASLD. METHODS: A total of 2087 individuals were included in the analysis. SVR was calculated according to the measurement of dual-energy x-ray absorptiometry and MASLD was diagnosed with controlled attenuation parameter scores and cardiometabolic risk factors. SVR was divided into tertiles. Logistic regression adjusted for confounders was used to evaluate the association between SVR and MASLD. Several sensitivity analyses were performed to test the robustness of our findings. RESULTS: In a multivariate logistic regression analysis, a significant association between SVR and MASLD was shown (odds ratio [OR]: 3.11, 95% confidence interval [CI]: 1.31-7.39, p = .010 for middle levels of SVR; OR: 3.82, 95% CI: 1.45-10.08, p = .007 for lowest levels of SVR). The sensitivity analyses confirmed that the association was robust. CONCLUSION: Our findings imply that decreased SVR is linked to MASLD.

Topics & Concepts

MedicineNonalcoholic fatty liver diseaseNational Health and Nutrition Examination SurveyInternal medicineOdds ratioBody mass indexFatty liverConfoundingConfidence intervalContext (archaeology)Logistic regressionCross-sectional studyGastroenterologyObesityPopulationEndocrinologyDiseasePathologyEnvironmental healthBiologyPaleontologyNutrition and Health in AgingLiver Disease Diagnosis and TreatmentDiabetes, Cardiovascular Risks, and Lipoproteins