ArticleFrontiers in endocrinology2024
Bioelectrical impedance parameters add incremental value to waist-to-hip ratio for prediction of metabolic dysfunction associated steatotic liver disease in youth with overweight and obesity.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Body-composition phenotype axes provide additional explanatory information for cardiorespiratory fitness and liver-related metabolic risk within BMI strata.Frontiers in nutrition · 2026Article
- Association between bioelectrical impedance analysis parameters and metabolic dysfunction-associated steatotic liver disease relative to handgrip strength in children and adolescents in Korea: A comparative study.JPEN. Journal of parenteral and enteral nutrition · 2026Article
- The liver-muscle axis in metabolic dysfunction-associated steatotic liver disease: a narrative review and conceptual framework for body-composition phenotyping.Frontiers in medicine · 2026Review
- Metabolic dysfunction-associated steatotic liver disease in children.Clinical and experimental hepatology · 2025Review
- Prediction Model for Insulin Resistance and Implications for MASLD in Youth: A Novel Marker, the Pediatric Insulin Resistance Assessment Score.Yonsei medical journal · 2025Article
- Triglyceride-glucose-waist circumference index: A powerful tool for metabolic dysfunction-associated steatotic liver disease.World journal of hepatology · 2025Review
- Identification of pediatric MASLD using insulin resistance indices.JHEP reports : innovation in hepatology · 2025Article
- Association Between Bioimpedance-Determined Metabolic Age and MASLD Risk Scores in Spanish Workers.Metabolites · 2025Article
- Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents.Gut and liver · 2025Article
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Abstract
Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing health concern in pediatric populations due to its association with obesity and metabolic syndrome. Bioelectrical impedance analysis (BIA) offers a non-invasive and potentially effective alternative for identifying MASLD risk in youth with overweight or obesity. Therefore, this study aimed to assess the utility of BIA for screening for MASLD in the youth. Method: This retrospective, cross-sectional study included 206 children and adolescents aged <20 years who were overweight and obese. The correlations between anthropometric measurements and BIA parameters and alanine aminotransferase (ALT) levels were assessed using Pearson's correlation analysis. Logistic regression analysis was performed to examine the associations between these parameters and ALT level elevation and MASLD score. Receiver operating characteristic (ROC) curves were generated to assess the predictive ability of the parameters for MASLD. Results: Pearson's correlation analysis revealed that waist-to-hip ratio (WHR), percentage body fat (PBF), and BIA parameters combined with anthropometric measurements were correlated with ALT level. Logistic regression revealed that WHR, skeletal muscle mass/WHR, PBF-WHR, fat-free mass/WHR, and appendicular skeletal muscle mass/WHR were correlated with ALT level elevation after adjusting for age, sex, and puberty. WHR, PBF-WHR, and visceral fat area (VFA)-WHR were positively correlated with the MASLD score in the total population after adjusting for age, sex, and puberty. PBF-WHR and VFA-WHR were correlated with the MASLD score even in youth with a normal ALT level. The cutoff points and area under the ROC curves were 34.6 and 0.69 for PBF-WHR, respectively, and 86.6 and 0.79 for VFA-WHR, respectively. Discussion: This study highlights the utility of combining BIA parameters and WHR in identifying the risk of MASLD in overweight and obese youth, even in those with a normal ALT level. BIA-based screening offers a less burdensome and more efficient alternative to conventional MASLD screening methods, facilitating early detection and intervention in youth at risk of MASLD.
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