scholarly journals Response to Letter to the Editor: Accuracy of segmental multi-frequency bioelectrical impedance analysis for assessing whole-body and appendicular fat mass and lean soft tissue mass in frail women aged 75 years and older

2013 ◽  
Vol 67 (9) ◽  
pp. 1008-1008 ◽  
Author(s):  
M Kim ◽  
H Kim
Keyword(s):  
Soft Tissue ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Soft Tissue Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Whole Body ◽  
Tissue Mass ◽  
Letter To The Editor

Gender differences in regional body composition and somatotrophic influences of IGF-I and leptin

2002 ◽  
Vol 92 (4) ◽  
pp. 1611-1618 ◽  
Author(s):  
Bradley C. Nindl ◽  
Charles R. Scoville ◽  
Kathleen M. Sheehan ◽  
Cara D. Leone ◽  
Robert P. Mello
Keyword(s):  
Gender Differences ◽  
Body Composition ◽  
Growth Factor ◽  
Soft Tissue ◽  
Fat Mass ◽  
Soft Tissue Mass ◽  
Insulin Like Growth Factor ◽  
Tissue Mass ◽  
Regional Body Composition ◽  
Igf I

This study evaluated the arm, trunk, and leg for fat mass, lean soft tissue mass, and bone mineral content (BMC) assessed via dual-energy X-ray absorptiometry in a group of age-matched (∼29 yr) men ( n = 57) and women ( n = 63) and determined their relationship to insulin-like growth factor I (IGF-I) and leptin. After analysis of covariance adjustment to control for differences in body mass between genders, the differences that persisted ( P ≤ 0.05) were for lean soft tissue mass of the arm (men: 7.1 kg vs. women: 6.4 kg) and fat mass of the leg (men: 5.3 kg vs. women: 6.8 kg). Men and women had similar ( P ≥ 0.05) values for fat mass of the arms and trunk and lean soft tissue mass of the legs and trunk. Serum IGF-I and insulin-like growth factor binding protein-3 correlated ( P≤ 0.05) with all measures of BMC ( r values ranged from 0.31 to 0.39) and some measures of lean soft tissue mass for women ( r = 0.30) but not men. Leptin correlated ( P≤ 0.05) similarly for measures of fat mass for both genders ( r values ranging from 0.74 to 0.85) and for lean soft tissue mass of the trunk ( r = 0.40) and total body ( r = 0.32) for men and for the arms in women ( r = 0.56). These data demonstrate that 1) the main phenotypic gender differences in body composition are that men have more of their muscle mass in their arms and women have more of their fat mass in their legs and 2) gender differences exist in the relationship between somatotrophic hormones and lean soft tissue mass.

Whole-body Electromyostimulation plus Caloric Restriction in Metabolic Syndrome

2020 ◽  
Author(s):  
Alfonso Bellia ◽  
Bruno Ruscello ◽  
Rolando Bolognino ◽  
Gianluca Briotti ◽  
Paolo Roberto Gabrielli ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Caloric Restriction ◽  
Fat Mass ◽  
Systolic Pressure ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Whole Body ◽  
Middle Aged ◽  
The Metabolic Syndrome ◽  
Early Effects

AbstractWe investigated early effects of Whole-Body Electromyostimulation added to hypocaloric diet on metabolic syndrome features in sedentary middle-aged individuals. We randomly assigned 25 patients to Whole-Body Electromyostimulation plus caloric restriction or caloric restriction alone for 26 weeks. Anthropometrics, blood pressure, fasting glucose and insulin, HOMA-IR, glycated hemoglobin, lipids, uric acid, creatinphosphokynase, C-reactive protein were assessed. Body composition was evaluated with direct-segmental, multi-frequency Bioelectrical Impedance Analysis. Both groups lost approximately 10% of weight, with similar effects on waist circumference and fat mass. Change in free-fat mass was significantly different between groups (caloric restriction −1.5±0.2 vs. Whole-Body Electromyostimulation plus caloric restriction +1.1±0.4 kg, p=0.03). Whole-Body Electromyostimulation plus caloric restriction group experienced greater percent reductions in insulin (−45.5±4.4 vs. −28.2±3.6%, p=0.002), HOMA-IR (–51.3±3.2 vs. –25.1±1.8%, p=0.001), triglycerides (−22.5±2.9 vs. −4.1±1.6%, p=0.004) and triglycerides/HDL (p=0.028). Subjects trained with Whole-Body Electromyostimulation had also significant improvement in systolic pressure (138±4 vs. 126±7 mmHg, p=0.038). No discontinuations for adverse events occurred. In middle-aged sedentary subjects with the metabolic syndrome, Whole-Body Electromyostimulation with caloric restriction for 26 weeks can improve insulin-resistance and lipid profile compared to diet alone. Further studies are needed to ascertain long-term efficacy and feasibility of this approach in individuals with the metabolic syndrome.

scholarly journals Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study

2017 ◽  
Vol 36 (3) ◽  
pp. 869-875 ◽  
Author(s):  
Aldo Scafoglieri ◽  
Jan Pieter Clarys ◽  
Jürgen M. Bauer ◽  
Sjors Verlaan ◽  
Lien Van Malderen ◽  
...  
Keyword(s):  
Older Adults ◽  
Physical Function ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis

Validity of segmental bioelectrical impedance analysis for estimating fat-free mass in children including overweight individuals

2017 ◽  
Vol 42 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Megumi Ohta ◽  
Taishi Midorikawa ◽  
Yuki Hikihara ◽  
Yoshihisa Masuo ◽  
Shizuo Sakamoto ◽  
...  
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Cross Validation ◽  
Model Development ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Whole Body ◽  
Body Segments ◽  
Significant Difference ◽  
Development Group ◽  
Segmental Bioelectrical Impedance

This study examined the validity of segmental bioelectrical impedance (BI) analysis for predicting the fat-free masses (FFMs) of whole-body and body segments in children including overweight individuals. The FFM and impedance (Z) values of arms, trunk, legs, and whole body were determined using a dual-energy X-ray absorptiometry and segmental BI analyses, respectively, in 149 boys and girls aged 6 to 12 years, who were divided into model-development (n = 74), cross-validation (n = 35), and overweight (n = 40) groups. Simple regression analysis was applied to (length)2/Z (BI index) for each of the whole-body and 3 segments to develop the prediction equations of the measured FFM of the related body part. In the model-development group, the BI index of each of the 3 segments and whole body was significantly correlated to the measured FFM (R2 = 0.867–0.932, standard error of estimation = 0.18–1.44 kg (5.9%–8.7%)). There was no significant difference between the measured and predicted FFM values without systematic error. The application of each equation derived in the model-development group to the cross-validation and overweight groups did not produce significant differences between the measured and predicted FFM values and systematic errors, with an exception that the arm FFM in the overweight group was overestimated. Segmental bioelectrical impedance analysis is useful for predicting the FFM of each of whole-body and body segments in children including overweight individuals, although the application for estimating arm FFM in overweight individuals requires a certain modification.

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