ArticleFrontiers in nutrition2024
Assessing skeletal muscle mass and lean body mass: an analysis of the agreement among dual X-ray absorptiometry, anthropometry, and bioelectrical impedance.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of exercise intervention on muscle mass, muscle strength, and physical function among postmenopausal women with sarcopenia: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- The impact of online-delivered controlled physical activity on cardiorespiratory fitness and heart rate variability in breast cancer survivors.Scientific reports · 2026Trial
- Agreement and repeatability between manual anthropometry and mobile 3D digital anthropometry in young adults.Journal of the International Society of Sports Nutrition · 2026Article
- Parenteral Nutrition in Eating Disorders: A Systematic Scoping Review.European eating disorders review : the journal of the Eating Disorders Association · 2026Article
- Indexing for body surface area when assessing kidney function.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026Review
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- Position-Specific Kinanthropometric Traits of Professional American Football Players: A Study of Mexican LFA Players.Journal of functional morphology and kinesiology · 2026Article
- Serum Albumin Level Predicts Systemic Arterial Stiffening Mediated Partially by Change in Lean Body Mass: A Retrospective Cohort Study in General Japanese Population.Vascular health and risk management · 2026Article
- Enhancing sarcopenia screening in primary care: a machine learning approach using simple physical tests vs. SARC-F in 2,788 community-dwelling older adults.Frontiers in public health · 2026Article
- Player ranking is associated with physical performance and body composition in 12-year-old female soccer players.Frontiers in sports and active living · 2026Article
- Preoperative sarcopenia and its impact on postoperative complications in laparoscopic anti-reflux surgery: a clinical analysis.Frontiers in surgery · 2026Article
- Segmental fat-free mass and lean soft mass: a comparative study with dual X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA) and anthropometry and development of anthropometric prediction models.Journal of the International Society of Sports Nutrition · 2025Article
- The Usefulness of Anthropometric Measurements and Indicators in Assessing Muscle Mass in Older Adults.Journal of clinical medicine · 2025Article
- Deep learning models for deriving optimised measures of fat and muscle mass from MRI.Scientific reports · 2025Article
- Impact of a Four-Week NCAA-Compliant Pre-Season Strength and Conditioning Program on Body Composition in NCAA Division II Women's Basketball.Journal of functional morphology and kinesiology · 2025Article
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Abstract
Introduction: Methods of body composition estimation such as dual-energy X-ray absorptiometry (DXA), anthropometry, and bioimpedance (BIA) are used for the estimation of skeletal muscle mass (SMM) and lean body mass (LBM). No previous studies have examined whether these methods generate comparable results, or whether they are valid by using DXA as the reference. The aims of the present investigation were: (a) to assess the differences between DXA, anthropometry, and BIA in the estimation of SMM and LBM, taking into consideration the impact of sex and hydration status; and (b) to examine the agreement of anthropometry and BIA as compared to DXA for the estimation of SMM and LBM. Methods: A descriptive cross-sectional design was followed with 262 healthy young adults (159 males and 103 females). LBM and SMM were assessed by anthropometry with the formulas from Lee et al. and Kulkarni et al. for LBM; and Kerr (opt a), Kerr (opt b), Lee et al., Poortmans, Matiegka, Martin et al., Drinkwater and Ross, and Heymsfield et al. for SMM; by BIA with the formula reported by the TANITA MC-780-MA software for LBM and SMM; and DXA with the formula reported by the Hologic Horizon software for LBM, and the conversion by Kim et al. for SMM. Results: Significant differences were found for both SMM and LBM in kg, and percentages between most methods and formulas for the overall sample ( Conclusion: There is a lack of agreement between methods and formulas for assessing SMM and LBM. Sex was found to be a significant factor in this analysis. Furthermore, significant differences were observed between most formulas and methods as compared to DXA, except for the equations to estimate SMM with anthropometry by Poortmans.
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