ArticleJournal of cachexia, sarcopenia and muscle2023
A more accurate method to estimate muscle mass: A new estimation equation.
Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Article
- Serum Creatinine/Cystatin C-Based Muscle Indices for Sarcopenia and Graft Failure After Living Donor Liver Transplantation.Journal of clinical medicine · 2026Article
- Construction of a nomogram prediction model for opportunistic sarcopenia in patients with malignant tumors.Asia Pacific journal of clinical nutrition · 2026Article
- Low muscle mass as an independent risk factor for 30-day mortality among older inpatients with aspiration pneumonia: a nationwide cohort study.European geriatric medicine · 2026Article
- A practical estimation equation for appendicular skeletal muscle mass in stroke rehabilitation: validating diagnostic accuracy and predicting functional outcomes.European geriatric medicine · 2026Article
- Multimodal evidence for the association between muscle mass and NAFLD: insights from hospital-based data, NHANES and mendelian randomization.Frontiers in genetics · 2026Article
- Phase Angle in Bioelectrical Impedance: New Perspectives in Health and Body Composition Assessment.Physiological research · 2025Observational
- Respiratory sarcopenia as a mortality predictor for chronic kidney disease: a dual-cohort longitudinal study.Renal failure · 2025Article
- Sex-specific protective role of lower-body fat in type 2 diabetes: mediation through insulin resistance in a BMI-matched population.BMJ open diabetes research & care · 2025Article
- The impact of appendicular skeletal muscle index and trunk muscle index on stress urinary incontinence risk in female adults: a retrospective study.Frontiers in nutrition · 2024Article
- Dietary vitamin K intake in relation to skeletal muscle mass and strength among adults: a cross-sectional study based on NHANES.Frontiers in nutrition · 2024Article
- Current approach to the diagnosis of sarcopenia in cardiovascular diseases.Frontiers in nutrition · 2024Review
- A more accurate method to estimate muscle mass: A new estimation equation.Journal of cachexia, sarcopenia and muscle · 2023Article
- Internally Validated Logistic Regression Nomogram for Depressive Symptoms Risk Prediction in Middle-Aged and Older Adults With Sarcopenia: Cross-Sectional Study.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeasurement of muscle mass is important in the diagnosis of sarcopenia. Current measurement equipment are neither cost-effective nor standardized and cannot be used in a variety of medical settings. Some simple measurement tools have been proposed that are subjective and unvalidated. We aimed to develop and validate a new estimation equation in a more objective and standardized way, based on current proven variables that accurately reflect muscle mass.
methodsCross-sectional analysis with The National Health and Nutrition Examination Survey database for equation development and validation. Overall, 9875 participants were included for development (6913 participants) and validation (2962 participants), for whom the database included demographic data, physical measurements, and main biochemical indicators. Appendicular skeletal muscle mass (ASM) was estimated by dual-energy x-ray absorptiometry (DXA) and low muscle mass was defined by reference to five international diagnostic criteria. Linear regression was used to estimate the logarithm of the actual ASM from demographic data, physical measurements, and biochemical indicators.
resultsThis study of 9875 participants comprised 4492 females (49.0%), with a weighted mean (SE) age of 41.83 (0.36) years and range of 12 to 85 years. The estimated ASM equations performed well in the validation data set. The variability in estimated ASM was low compared with the actual ASM (R
conclusionsThe estimated ASM equations are accurate and simple and can be routinely applied clinically to estimate ASM and thus assess sarcopenia.
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