scholarly journals EVALUATION OF EFFECT OF UDVARTANA ON MEDO DHATU USING BODY COMPOSITION MONITOR

2020 ◽  
Vol 11 (4) ◽  
pp. 59-69
Author(s):  
Jaseena C ◽  
Annie Yohannan ◽  
Anjali Sivaram ◽  
Anjana R
2011 ◽  
Vol 9 (2) ◽  
pp. 63
Author(s):  
Wookyung Chung ◽  
Shung Han Choi ◽  
Jiyoon Sung ◽  
Eul Sik Jung ◽  
Dong Su Shin ◽  
...  

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i231-i231
Author(s):  
Shin Fukunaga ◽  
Kazuhiro Yamada ◽  
Akiko Baba ◽  
Yuji Sato ◽  
Shouichi Fujimoto

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rodolfo Valtuille ◽  
Maria Elisa Casos ◽  
Elmer Andres Fernandez ◽  
Adrian Guinsburg ◽  
Cristina Marelli

The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (r=-0.28). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.


Author(s):  
Annelies Van Eyck ◽  
Sofie Eerens ◽  
Dominique Trouet ◽  
Eline Lauwers ◽  
Kristien Wouters ◽  
...  

AbstractThere is an increasing need for suitable tools to evaluate body composition in paediatrics. The Body Composition Monitor (BCM) shows promise as a method, but reference values in children are lacking. Twenty children were included and measured twice by 4 different raters to asses inter- and intra-rater reproducibility of the BCM. Reliability was assessed using the Bland-Altman method and by calculating intraclass correlation coefficients (ICCs). The intra-rater ICCs were high (≥ 0.97) for all parameters measured by BCM as were the inter-rater ICCs for all parameters (≥ 0.98) except for overhydration (0.76). Consequently, a study was set up in which BCM measurements were performed in 2058 healthy children aged 3–18.5 years. The age- and gender-specific percentile values and reference curves for body composition (BMI, waist circumference, fat mass and lean tissue mass) and fluid status (extracellular and intracellular water and total body water) relative to age were produced using the GAMLSS method for growth curves.Conclusion: A high reproducibility of BCM measurements was found for fat mass, lean tissue mass, extracellular water and total body water. Reference values for these BCM parameters were calculated in over 2000 children and adolescents aged 3 to 18 years. What is Known• The 4-compartment model is regarded as the ‘gold standard’ of body composition methods, but is inappropriate for regular follow-up or screening of large groups, because of associated limitations. • Body Composition Monitor® is an inexpensive field method that has the potential to be an adequate monitoring tool.What is New• Good reproducibility of BCM measurements in children provides evidence to use the device in longitudinal follow-up, multicentre and comparative studies.• Paediatric reference values relative to age and sex for the various compartments of the body are provided.


Nephron ◽  
2016 ◽  
Vol 133 (3) ◽  
pp. 163-168 ◽  
Author(s):  
David Keane ◽  
Paul Chamney ◽  
Stefanie Heinke ◽  
Elizabeth Lindley

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