ArticleNutrients2016
The Performance of Five Bioelectrical Impedance Analysis Prediction Equations against Dual X-ray Absorptiometry in Estimating Appendicular Skeletal Muscle Mass in an Adult Australian Population.
Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Pooled it
- Home-based physical activity after treatment for esophageal cancer-A randomized controlled trial.Cancer medicine · 2023Trial
- Exploring the Association of Polypharmacy and Depressive Symptoms with Sarcopenia in Older Adults.Journal of clinical medicine · 2026Article
- Muscle Imaging Assessments in Sarcopenia: A Statement from China National Center for Orthopedics (NCO) and the East Meets West Action Group of the European Calcified Tissue Society (ECTS).Calcified tissue international · 2025Review
- Research progress on sarcopenia in the musculoskeletal system.Bone research · 2025Review
- Review
- Relationship Between Body Composition and Biomarkers in Adult Females with Breast Cancer: 1-Year Follow-Up Prospective Study.Nutrients · 2025Observational
- Dysgeusia in MASLD-related advanced chronic liver disease (ACLD): a silent driver towards the "Bermuda" triangle of malnutrition-sarcopenia-frailty severely affecting prognosis.Nutrition journal · 2025Review
- Clinical Characteristics of Sarcopenia in Nonalcoholic Fatty Liver Disease: A Systemic Scoping Review.Obesity facts · 2025Article
- Muscle Mass and Muscle Strength in Non-Dialysis-Dependent Chronic Kidney Disease Patients.Journal of clinical medicine · 2024Article
- The Role of Combined Muscle Ultrasound and Bioimpedentiometry Parameters for Sarcopenia Diagnosis in a Population of Hospitalized Older Adults.Nutrients · 2024Article
- The agreement of different techniques for muscle measurement in diagnosing sarcopenia: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2024Article
- Dynapenia and sarcopenia: association with the diagnosis, duration and complication of type 2 diabetes mellitus in ELSA-Brasil.Cadernos de saude publica · 2024Article
- Addressing the Main Barrier to Sarcopenia Identification: Utility of Practical Office-Based Bioimpedance Tools Vs. Dual Energy X-ray Absorptiometry (DXA) Body Composition for Identification of Low Muscle Mass in Older Adults.Canadian geriatrics journal : CGJ · 2023Article
- Multidisciplinary approach to sarcopenia: a narrative review.Journal of Yeungnam medical science · 2023Article
- Bioelectrical impedance analysis in the BaSAlt cohort-study: the phase angle as an additional parameter for sarcopenia quantification among German nursing home residents?European geriatric medicine · 2023Article
- Nordic Walking training in BungyPump form improves cognitive functions and physical performance and induces changes in amino acids and kynurenine profiles in older adults.Frontiers in endocrinology · 2023Article
- External validation of BIA equations to estimate appendicular skeletal muscle mass in older adults: Importance of the bias analysis and derivation of correction factors to achieve agreement.Frontiers in nutrition · 2022Article
- Psoas Muscle Volume as an Opportunistic Diagnostic Tool to Assess Sarcopenia in Patients with Hip Fractures: A Retrospective Cohort Study.Journal of personalized medicine · 2021Article
- Sarcopenia: Diagnosis and Management, State of the Art and Contribution of Ultrasound.Journal of clinical medicine · 2021Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Appendicular skeletal muscle mass (ASM) is a diagnostic criterion for sarcopenia. Bioelectrical impedance analysis (BIA) offers a bedside approach to measure ASM but the performance of BIA prediction equations (PE) varies with ethnicities and body composition. We aim to validate the performance of five PEs in estimating ASM against estimation by dual-energy X-ray absorptiometry (DXA). We recruited 195 healthy adult Australians and ASM was measured using single-frequency BIA. Bland-Altman analysis was used to assess the predictive accuracy of ASM as determined by BIA against DXA. Precision (root mean square error (RMSE)) and bias (mean error (ME)) were calculated according to the method of Sheiner and Beal. Four PEs (except that by Kim) showed ASM values that correlated strongly with ASMDXA (r ranging from 0.96 to 0.97, p < 0.001). The Sergi equation performed the best with the lowest ME of -1.09 kg (CI: -0.84--1.34, p < 0.001) and the RMSE was 2.09 kg (CI: 1.72-2.47). In men, the Kyle equation performed better with the lowest ME (-0.32 kg (CI: -0.66-0.02) and RMSE (1.54 kg (CI: 1.14-1.93)). The Sergi equation is applicable in adult Australians (Caucasian) whereas the Kyle equation can be considered in males. The need remains to validate PEs in other ethnicities and to develop equations suitable for multi-frequency BIA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.