Body composition changes assessed by bioelectrical impedance measurements

1989 ◽  
Vol 49 (3) ◽  
pp. 401-403 ◽  
Author(s):  
P Deurenberg ◽  
J A Weststrate ◽  
K van der Kooy
Heart & Lung ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Dulce González-Islas ◽  
Estefanía Arámbula-Garza ◽  
Arturo Orea-Tejeda ◽  
Lilia Castillo-Martínez ◽  
Candace Keirns-Davies ◽  
...  

1992 ◽  
Vol 72 (6) ◽  
pp. 2181-2187 ◽  
Author(s):  
C. S. Fulco ◽  
R. W. Hoyt ◽  
C. J. Baker-Fulco ◽  
J. Gonzalez ◽  
A. Cymerman

This study determined the feasibility of using bioelectrical impedance analysis (BIA) to assess body composition alterations associated with body weight (BW) loss at high altitude. The BIA method was also evaluated relative to anthropometric assessments. Height, BW, BIA, skinfold (SF, 6 sites), and circumference (CIR, 5 sites) measurements were obtained from 16 males (23–35 yr) before, during, and after 16 days of residence at 3,700–4,300 m. Hydrostatic weighings (HW) were performed pre- and postaltitude. Results of 13 previously derived prediction equations using various combinations of height, BW, age, BIA, SF, or CIR measurements as independent variables to predict fat-free mass (FFM), fat mass (FM), and percent body fat (%Fat) were compared with HW. Mean BW decreased from 84.74 to 78.84 kg (P less than 0.01). As determined by HW, FFM decreased by 2.44 kg (P less than 0.01), FM by 3.46 kg (P less than 0.01), and %Fat by 3.02% (P less than 0.01). The BIA and SF methods overestimated the loss in FFM and underestimated the losses in FM and %Fat (P less than 0.01). Only the equations utilizing the CIR measurements did not differ from HW values for changes in FFM, FM, and %Fat. It was concluded that the BIA and SF methods were not acceptable for assessing body composition changes at altitude.


2016 ◽  
Vol 102 (2) ◽  
pp. 488-498 ◽  
Author(s):  
Diego Gomez-Arbelaez ◽  
Diego Bellido ◽  
Ana I. Castro ◽  
Lucia Ordoñez-Mayan ◽  
Jose Carreira ◽  
...  

Abstract Context: Common concerns when using low-calorie diets as a treatment for obesity are the reduction in fat-free mass, mostly muscular mass, that occurs together with the fat mass (FM) loss, and determining the best methodologies to evaluate body composition changes. Objective: This study aimed to evaluate the very-low-calorie ketogenic (VLCK) diet-induced changes in body composition of obese patients and to compare 3 different methodologies used to evaluate those changes. Design: Twenty obese patients followed a VLCK diet for 4 months. Body composition assessment was performed by dual-energy X-ray absorptiometry (DXA), multifrequency bioelectrical impedance (MF-BIA), and air displacement plethysmography (ADP) techniques. Muscular strength was also assessed. Measurements were performed at 4 points matched with the ketotic phases (basal, maximum ketosis, ketosis declining, and out of ketosis). Results: After 4 months the VLCK diet induced a −20.2 ± 4.5 kg weight loss, at expenses of reductions in fat mass (FM) of −16.5 ± 5.1 kg (DXA), −18.2 ± 5.8 kg (MF-BIA), and −17.7 ± 9.9 kg (ADP). A substantial decrease was also observed in the visceral FM. The mild but marked reduction in fat-free mass occurred at maximum ketosis, primarily as a result of changes in total body water, and was recovered thereafter. No changes in muscle strength were observed. A strong correlation was evidenced between the 3 methods of assessing body composition. Conclusion: The VLCK diet-induced weight loss was mainly at the expense of FM and visceral mass; muscle mass and strength were preserved. Of the 3 body composition techniques used, the MF-BIA method seems more convenient in the clinical setting.


2018 ◽  
Vol 17 (4) ◽  
pp. 1125-1131 ◽  
Author(s):  
Huiping Ding ◽  
Shengjin Dou ◽  
Yiqun Ling ◽  
Guopei Zhu ◽  
Qiong Wang ◽  
...  

Aim: This was a prospective investigation of longitudinal body composition changes in patients with nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy (CCRT) and a comparison of the Patient-Generated Subjective Global Assessment (PG-SGA) and the ESPEN (European Society for Clinical Nutrition and Metabolism) diagnostic criteria (EDC) as evaluation methods. Methods: All patients received standard CCRT according to 2 centers’ current practices. Body composition parameters were determined by bioelectrical impedance analysis and obtained weekly from baseline until the end of treatment. The nutritional status of all patients was evaluated by the PG-SGA and EDC. Results: Forty-eight patients were eligible for analysis. Most body composition parameters, including body cell mass, fat mass, fat-free mass, and skeletal mass, as well as body weight, body mass index, and PG-SGA score, significantly decreased during CCRT ( P = .00). The PG-SGA was shown to have better sensitivity than the EDC; however, the 2 different evaluation methods were found to have a perfect concordance at Week 4 and Week 6 (κ = 0.91 and 0.96, P = .00 and .00, respectively). Pearson correlation analyses showed that fat-free mass index and body weight were positively correlated with global quality of life score ( r = 0.81, P = .00; r = 0.78, P = .00, respectively). Conclusions: This study has shown that body composition parameters, especially fat-free mass index, are valuable for diagnosing malnutrition in patients with nasopharyngeal carcinoma receiving CCRT. We recommend that these bioelectrical impedance analysis techniques should be increasingly implemented in nutritional assessments.


Sports ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 112
Author(s):  
Jake R. Boykin ◽  
Grant M. Tinsley ◽  
Christine M. Harrison ◽  
Jessica Prather ◽  
Javier Zaragoza ◽  
...  

Tracking changes in body composition may provide key information about the effectiveness of training programs for athletes. This study reports on the agreement between bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) for tracking body composition changes during a seven-week offseason training program in 29 NCAA collegiate American football players. Body composition in subjects (mean ± SD; age: 19.7 ± 1.5 y; height: 179.8 ± 6.6 cm; body mass (BM: 96.1 ± 12.6 kg; DXA body fat: 20.9 ± 4.4%) was estimated using BIA (InBody 770) and DXA (Hologic Horizon) before and after the training intervention. Repeated measures ANOVA and post hoc comparisons were performed. Longitudinal agreement between methods was also examined by concordance correlation coefficient (CCC) and Bland–Altman analysis alongside linear regression to identify bias. Significant method by time interactions were observed for BM (DXA: 1.1 ± 2.4 kg; BIA: 1.4 ± 2.5 kg; p < 0.03), arms fat-free mass (FFM) (DXA: 0.4 ± 0.5 kg; BIA: 0.2 ± 0.4 kg; p < 0.03), and legs FFM (DXA: 0.6 ± 1.1 kg; BIA: 0.1 ± 0.6 kg; p < 0.01). Post hoc comparisons indicated that DXA—but not BIA—detected increases in FFM of the arms and legs. Time main effects, but no method by time interactions, were observed for total FFM (DXA: 1.6 ± 1.9 kg; BIA: 1.2 ± 2.1 kg; p = 0.004) and trunk FFM (DXA: 0.7 ± 1.3 kg; BIA: 0.5 ± 1.0 kg; p = 0.02). Changes in total BM (CCC = 0.96), FFM (CCC = 0.49), and fat mass (CCC = 0.50) were significantly correlated between BIA and DXA. DXA and BIA may similarly track increases in whole-body FFM in American collegiate football players; however, BIA may possess less sensitivity in detecting segmental FFM increases, particularly in the appendages.


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