ArticlePloS one2018
Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06015620 (CoMOrbidities Resolution After Mini-GAstric Bypass Surgery for Morbid Obesity and Change in BOdy Composition), which is not on this map. Cited by 197 papers, 5 of them syntheses that pooled it.
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The trial behind it
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.
CoMOrbidities Resolution After Mini-GAstric Bypass Surgery for Morbid Obesity and Change in BOdy Composition: A Prospective Cohort Study (MOGAMBO Study)
Who cites it
197 citing papers in PubMed, 5 syntheses or guidelines pooled it.
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- Start with muscle mass or muscle strength in diagnosis and management of sarcopenia? A systematic review of guidance documents.Asia Pacific journal of clinical nutrition · 2024Pooled it
- The influence of growth hormone on pediatric body composition: A systematic review.Frontiers in endocrinology · 2023Pooled it
- Prevalence of depression in patients with sarcopenia and correlation between the two diseases: systematic review and meta-analysis.Journal of cachexia, sarcopenia and muscle · 2022Pooled it
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- Effect of physical activity and multi-micronutrient supplementation on body composition among Tanzanian schoolchildren: secondary outcomes from the KaziAfya cluster-randomized controlled trial.BMC public health · 2025Trial
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- Ipragliflozin, a sodium-glucose cotransporter 2 inhibitor, reduces bodyweight and fat mass, but not muscle mass, in Japanese type 2 diabetes patients treated with insulin: A randomized clinical trial.Journal of diabetes investigation · 2019Trial
- Prevalence of Sarcopenia in Korean Adults Based on the Asian Working Group for Sarcopenia 2025 Criteria: Analysis of the 2024 Korea National Health and Nutrition Examination Survey.Journal of Korean medical science · 2026Article
- Enhancing Cardiopulmonary Exercise Testing in Complex Congenital Heart Disease: The Role of Spirometry, Body Composition, and Handgrip Strength.Pediatric cardiology · 2026Review
- Bioimpedance: From Body Composition Assessment to Emerging Technologies in Clinical Nutrition.Nutrients · 2026Review
- Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody.PLOS digital health · 2026Article
- Body Mass Index and Body Fat Percentage Are Associated with Clinical Outcomes in Patients Receiving PD-1/PD-L1 Inhibitors: A Prospective Exploratory Study.Journal of personalized medicine · 2026Article
- Body Composition Assessment in Pediatric Cystic Fibrosis in the Highly Effective Modulator Therapy Era-A Pilot Study.Nutrients · 2026Article
137 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsBody composition assessment is often used in clinical practice for nutritional evaluation and monitoring. The standard method, dual-energy X-ray absorptiometry (DXA), is hardly feasible in routine clinical practice contrary to Bioelectrical Impedance Analysis (BIA) method. We thus aimed to compare body composition assessment by DXA and BIA according to the body mass index (BMI) in a large cohort.
methodsRetrospectively, we analysed DXA and BIA measures in patients followed in a Nutrition Unit from 2010 to 2016. Body composition was assessed under standardized conditions in the morning, after a fasting period of 12 h, by DXA (Lunar Prodigy Advance) and BIA (Bodystat QuadScan 4000, Manufacturer's equation). Bland-Altman test was performed for each class of BMI (kg/m2) and fat mass and fat free mass values were compared using Kruskal-Wallis test. Pearson correlations were also performed and the concordance coefficient of Lin was calculated.
resultsWhatever the BMI, BIA and DXA methods reported higher concordance for values of FM than FFM. Body composition values were very closed for patients with BMI between 16 and 18,5 (difference < 1kg). For BMI > 18,5 and BMI < 40, BIA overestimated fat free mass from 3,38 to 8,28 kg, and underestimated fat mass from 2,51 to 5,67 kg compared with DXA method. For BMI ≥ 40, differences vary with BMI. For BMI < 16, BIA underestimated fat free mass by 2,25 kg, and overestimated fat mass by 2,57 kg. However, limits of agreement were very large either for FM and FFM values, irrespective of BMI.
conclusionThe small bias, particularly in patients with BMI between 16 and 18, suggests that BIA and DXA methods are interchangeable at a population level. However, concordance between BIA and DXA methods at the individual level is lacking, irrespective of BMI.
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