scholarly journals Bioelectrical impedance analysis: population reference values for phase angle by age and sex

2005 ◽  
Vol 82 (1) ◽  
pp. 49-52 ◽  
Author(s):  
Maria Cristina G Barbosa-Silva ◽  
Aluísio JD Barros ◽  
Jack Wang ◽  
Steven B Heymsfield ◽  
Richard N Pierson
2005 ◽  
Vol 82 (1) ◽  
pp. 49-52 ◽  
Author(s):  
Maria Cristina G Barbosa-Silva ◽  
Aluísio JD Barros ◽  
Jack Wang ◽  
Steven B Heymsfield ◽  
Richard N Pierson

2011 ◽  
Vol 107 (8) ◽  
pp. 1217-1220 ◽  
Author(s):  
Nicole Stobäus ◽  
Matthias Pirlich ◽  
Luzia Valentini ◽  
Jörg Dieter Schulzke ◽  
Kristina Norman

Phase angle (PhA), a parameter of bioelectrical impedance analysis, is a well-known predictor of morbidity and mortality in various diseases. The causes of decreased PhA are, however, not yet completely understood. We therefore investigated determinants of PhA in 777 hospitalised patients in a retrospective analysis. PhA was assessed by bioelectrical impedance analysis at 50 KHz. Subjective global assessment (SGA) was used to evaluate nutritional status. Age, sex, BMI as well as nutritional status (SGA), benign or malignant disease and C-reactive protein (CRP) were investigated as potential determinants of PhA and standardised PhA (SPhA) = (observed PhA − mean PhA of reference values)/standard deviation of reference values in a general linear model regression analysis. Next to age (estimated effect size, 46·6 %; P < 0·0001), malnutrition (39·1 %; P < 0·0001) emerged as a major PhA determinant in our study population. Moreover, sex (6·4 %; P < 0·0001), CRP (4·4 %; P < 0·0001) and BMI (3·5 %; P < 0·0001) exhibited a significant influence on PhA, whereas malignant disease showed no significant effect in this model. The only significant determinants of SPhA were malnutrition (85·4 %; P < 0·0001) and inflammation (9·6 %; P < 0·0001). In conclusion, next to the established predictors, malnutrition and inflammation have a strong impact on PhA in sick individuals, which partly explains its prognostic power. When investigating the SPhA, only malnutrition and inflammation were found to be significant predictors, as a result of which the SPhA is considered a more suitable indicator of nutritional and health status.


2006 ◽  
Vol 30 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Anja Bosy-Westphal ◽  
Sandra Danielzik ◽  
Ralf-Peter Dörhöfer ◽  
Wiebke Later ◽  
Sonja Wiese ◽  
...  

2016 ◽  
Vol 27 (3) ◽  
pp. 665-669 ◽  
Author(s):  
Georgi Vassilev ◽  
Till Hasenberg ◽  
Johannes Krammer ◽  
Peter Kienle ◽  
Ulrich Ronellenfitsch ◽  
...  

Nutrition ◽  
2020 ◽  
Vol 78 ◽  
pp. 110865
Author(s):  
Mariana Ribeiro Costa Portugal ◽  
Daniela Silva Canella ◽  
Cintia Chaves Curioni ◽  
Flavia Fioruci Bezerra ◽  
Eduardo Faerstein ◽  
...  

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