ArticleNutrients2024
Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) DXA-BIA Estimations for the Early Identification of Sarcopenia/Low Muscle Mass in Middle-Aged Women.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Magnetic resonance imaging derived biomarkers for the diagnosis of type 2 diabetes with insulin resistance: A pilot study.World journal of diabetes · 2025Article
- Vitamin D and Sarcopenia: Implications for Muscle Health.Biomedicines · 2025Review
- Assessing Body Composition for Resource-Limited Settings: Agreement of a Scalable BIA Device Compared to DXA and Clinical BIA in Adults With Obesity.Journal of primary care & community healthArticle
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5 authors.
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Abstract
BACKGROUND/
objectivesSarcopenia involves the loss of muscle mass along with a decrease in muscle strength and physical performance. The aim of this paper was to compare the already published BIA equations for the estimation of Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) with dual X-ray densitometer DXA estimations in order to determine whether Bioelectrical Impedance Analysis (BIA) could be a feasible application on a general population for the detection of low muscle mass and sarcopenia.
methodsSeventy-nine healthy women aged 40-70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements.
resultsDXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia.
conclusionsThis study showed how the use of BIA represents an effective and reliable method in the evaluation of sarcopenia.
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