ArticleEuropean journal of clinical nutrition2013
Tracking fat-free mass changes in elderly men and women using single-frequency bioimpedance and dual-energy X-ray absorptiometry: a four-compartment model comparison.
Article in European journal of clinical nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 58 citations in OpenAlex.
- Trial
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- Gastric Myoelectric Activity and Body Composition in Women with Binge Eating Disorder and Bulimia Nervosa: A Preliminary Trial Study.Journal of clinical medicine · 2023Article
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- MRI-Determined Psoas Muscle Fat Infiltration Correlates with Severity of Weight Loss during Cancer Cachexia.Cancers · 2021Article
- The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology.Nutrients · 2021Review
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- Association between patient-reported outcomes and exercise test outcomes in patients with COPD before and after pulmonary rehabilitation.Health and quality of life outcomes · 2020Article
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- Lean body mass and risk of type 2 diabetes - a Danish cohort study.Journal of diabetes and metabolic disorders · 2019Article
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- Reference values for body composition and associations with blood pressure in Kenyan adults aged ≥50 years old.European journal of clinical nutrition · 2019Article
- Adult individuals with congenital, untreated, severe isolated growth hormone deficiency have satisfactory muscular function.Endocrine · 2019Article
- Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.Clinical nutrition (Edinburgh, Scotland) · 2017Article
- Article
- The role of geriatric assessment tests and anthropometric measurements in identifying the risk of falls in elderly nursing home residents.Saudi medical journal · 2016Article
- Association of serum vitamin D with change in weight and total body fat in a German cohort of older adults.European journal of clinical nutrition · 2016Article
- Changes in Nutritional Status after Deep Brain Stimulation of the Nucleus Basalis of Meynert in Alzheimer's Disease--Results of a Phase I Study.The journal of nutrition, health & aging · 2015Article
- The efficacy of Bioelectrical Impedance Analysis (BIA) in monitoring body composition changes during treatment of restrictive eating disorder patients.Journal of eating disorders · 2014Article
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Authors and funding
7 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesTo compare single estimations of fat-free mass (FFM) and to track FFM using single-frequency bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) compared with a four-compartment (4C) model in healthy elderly Americans. SUBJECTS/
methodsThirty-four men and thirty-eight women (Caucasian, ≥ 65 years) were included in the study. Subjects participated in either the control group or the exercise group. All testing and training took place during the 21-week investigation. Body composition assessments using nine BIA equations, DXA and a 4C model were performed during weeks 1, 12 and 24 of the study.
resultsSingle estimations for DXA and BIA produced high r values (0.79-0.95) and low standard error of estimate values (1.62-3.3 kg), producing subjective ratings of 'ideal' for men and 'excellent' for women. Both DXA and two BIA equations revealed the same significance when comparing groups and times with the 4C model. Individual accuracy for tracking changes was similar among BIA equations and DXA compared with the 4C model, with a total agreement of 25% for BIA and 27% for DXA compared with the 4C model.
conclusionsThe current data in combination with the reliability errors for both BIA and DXA FFM estimations suggest that individual results should be interpreted with caution if FFM changes are <5 kg. However, DXA and BIA are both valid methods that can be used interchangeably to estimate FFM at a single time point or for tracking changes in FFM in small groups (15-22) of healthy American older adults.
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