scholarly journals Whole body air displacement plethysmography compared with hydrodensitometry for body composition analysis

2000 ◽  
Vol 82 (2) ◽  
pp. 159-164 ◽  
Author(s):  
O. Dewit
Keyword(s):  
Body Composition ◽  
Whole Body ◽  
Composition Analysis ◽  
Air Displacement Plethysmography ◽  
Body Composition Analysis

scholarly journals Whole body composition analysis by the BodPod air-displacement plethysmography method in children with phenylketonuria shows a higher body fat percentage

2010 ◽  
Vol 33 (S3) ◽  
pp. 283-288 ◽  
Author(s):  
Monique Albersen ◽  
Marjolein Bonthuis ◽  
Nicole M. de Roos ◽  
Dorine A. M. van den Hurk ◽  
Ems Carbasius Weber ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Whole Body ◽  
Composition Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Air Displacement Plethysmography ◽  
Body Composition Analysis

scholarly journals Application of standards and models in body composition analysis

2015 ◽  
Vol 75 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Manfred J. Müller ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Corinna Geisler ◽  
Anja Bosy-Westphal
Keyword(s):  
Body Composition ◽  
Clinical Decision Making ◽  
Compartment Model ◽  
Clinical Decision ◽  
Whole Body ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Physical Functions ◽  
Body Components

The aim of this review is to extend present concepts of body composition and to integrate it into physiology. In vivo body composition analysis (BCA) has a sound theoretical and methodological basis. Present methods used for BCA are reliable and valid. Individual data on body components, organs and tissues are included into different models, e.g. a 2-, 3-, 4- or multi-component model. Today the so-called 4-compartment model as well as whole body MRI (or computed tomography) scans are considered as gold standards of BCA. In practice the use of the appropriate method depends on the question of interest and the accuracy needed to address it. Body composition data are descriptive and used for normative analyses (e.g. generating normal values, centiles and cut offs). Advanced models of BCA go beyond description and normative approaches. The concept of functional body composition (FBC) takes into account the relationships between individual body components, organs and tissues and related metabolic and physical functions. FBC can be further extended to the model of healthy body composition (HBC) based on horizontal (i.e. structural) and vertical (e.g. metabolism and its neuroendocrine control) relationships between individual components as well as between component and body functions using mathematical modelling with a hierarchical multi-level multi-scale approach at the software level. HBC integrates into whole body systems of cardiovascular, respiratory, hepatic and renal functions. To conclude BCA is a prerequisite for detailed phenotyping of individuals providing a sound basis for in depth biomedical research and clinical decision making.

P-154: Body composition analysis in bariatric surgery: Use of air displacement plethysmography

2010 ◽  
Vol 6 (3) ◽  
pp. S77
Author(s):  
Charalambos K. Rammos ◽  
Franziska Huettner ◽  
Steven M. Henriques ◽  
Danuta I. Dynda ◽  
Melinda L. Lange ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Body Composition ◽  
Composition Analysis ◽  
Air Displacement Plethysmography ◽  
Body Composition Analysis

scholarly journals Stav antropometrických parametrů a tělesného složení u studentů Vojenského oboru UK FTVS v Praze

2015 ◽  
Vol 9 (2) ◽  
pp. 57-67 ◽  
Author(s):  
Ivana Kinkorová ◽  
Matěj Vrba
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
The Body ◽  
Whole Body ◽  
Composition Analysis ◽  
Extracellular Water ◽  
Body Composition Analysis ◽  
Segmental Analysis ◽  
Total Body ◽  
General Physical

The aim of our study was the measurement of selected anthropometric variables, respectively determining somatotype, body composition analysis of students Military Department (MD) at UK FTVS in Prague and compared to similar studies. The group consisted of 22 probands, men ranging in age from 19–27 years (mean age = 22,9 ± 2,6 years, height = 179,9 ± 6,0 cm, weight = 76,8 ± 7,0 kg, BMI = 23,8 ± 1,5 kg.m–2). In terms of measured average somatotype (1,7 – 7,3 – 2,5), the students MD have very good preconditions for general physical fitness. We used BIA-Tanita MC 980 for the body composition analysis (whole body and segmental analysis). The students MD showed a high proportion of lean body mass (70,5 ± 6,1 kg) and low proportion of fat mass (8,3 ± 3,0 %). The authors emphasize the importance of monitoring and other parameters of body composition, e.g. total body water (TBW), extracellular water (ECW), intracellular water (ICW), segmental analysis of muscle mass and body fat.

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