Examination of the body composition of patients with Werner syndrome using bioelectrical impedance analysis

2021 ◽  
Author(s):  
Fumihiko Tanaka ◽  
Masafumi Kuzuya
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Werner Syndrome ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body

Bioelectrical impedance analysis of the body composition of children and adolescents with sickle cell disease

2002 ◽  
Vol 140 (6) ◽  
pp. 681-687 ◽  
Author(s):  
Dorothy J. VanderJagt ◽  
Paul Harmatz ◽  
Ajovi B. Scott-Emuakpor ◽  
Elliot Vichinsky ◽  
Robert H. Glew
Keyword(s):  
Body Composition ◽  
Sickle Cell Disease ◽  
Children And Adolescents ◽  
Sickle Cell ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Cell Disease

Bioelectrical impedance analysis in the measurement of the body composition of surgical patients

1992 ◽  
Vol 79 (5) ◽  
pp. 421-423 ◽  
Author(s):  
K. C. H. Fearon ◽  
R. A. Richardson ◽  
J. Hannan ◽  
S. Cowan ◽  
W. Watson ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Surgical Patients

scholarly journals Body Composition and Bioelectrical-Impedance-Analysis-Derived Raw Variables in Pole Dancers

2021 ◽  
Vol 18 (23) ◽  
pp. 12638
Author(s):  
Giada Ballarin ◽  
Luca Scalfi ◽  
Fabiana Monfrecola ◽  
Paola Alicante ◽  
Alessandro Bianco ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Cell Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Fat Free Mass ◽  
Lower Limbs ◽  
Whole Body ◽  
Fat Percentage

Few data are available on the body composition of pole dancers. Bioelectrical impedance analysis (BIA) is a method that is used to estimate fat-free mass (FFM) and fat mass (FM), while raw BIA variables, such as the impedance ratio (IR) and phase angle (PhA), are markers of body cell mass and the ratio between extracellular and total body water. The aim of this study was to evaluate the body composition of pole dancers compared to controls, in particular, those raw BIA variables that are considered as markers of muscle composition. Forty female pole dancers and 59 controls participated in the study. BIA was performed on the whole body and upper and lower limbs, separately, at 5, 50, 100 and 250 kHz. The FFM, FFM index, FM and body fat percentage (BF%) were predicted. The bioelectrical impedance indexes IR and PhA were also considered. Pole dancers exhibited higher FFMI and BI indexes and lower BF%. PhA was greater and IRs were smaller in pole dancers than in controls for the whole body and upper limbs. Considering the training level, FFM, whole-body IR and PhA were higher in the professionals than non-professionals. Raw BIA variables significantly differed between the pole dancers and controls, suggesting a higher BCM; furthermore, practicing pole dancing was associated with a greater FFM and lower FM.

scholarly journals Reproducibility of Bioelectrical Impedance Analysis in Pregnancy and the Association of Body Composition with the Risk of Gestational Diabetes: A Substudy of MUMS Cohort

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Michelle Bai ◽  
Daniella Susic ◽  
Anthony J. O’Sullivan ◽  
Amanda Henry
Keyword(s):  
Body Composition ◽  
Gestational Diabetes ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Composition Analysis ◽  
Limits Of Agreement ◽  
Asian Ethnicity ◽  
In Pregnancy

Introduction. Bioelectrical impedance analysis (BIA) is a rapid and noninvasive method of body composition analysis; however, reproducibility between BIA instruments in pregnancy is uncertain. Adverse maternal body composition has been linked to pregnancy complications including gestational diabetes mellitus (GDM). This study aimed to evaluate the reproducibility of three BIA instruments in pregnancy and analyse the relationship between the body composition and the GDM risk. Methods. A prospective cohort (n = 117) of women with singleton pregnancies participating in the Microbiome Understanding in Maternity Study (MUMS) at St. George Hospital, Sydney, Australia. Anthropometric measurements and BIA body composition were measured at ≤13 weeks (T1), 20–24 weeks (T2), and 32–36 weeks (T3) of gestation. Body fat percentage (BFP), total body water (TBW), and impedance were estimated by three BIA instruments: Bodystat 1500, RJL Quantum III, and Tanita BC-587. GDM status was recorded after 75 g oral glucose tolerance test was performed at 28 weeks or earlier. Agreement between BIA instruments was assessed using Bland–Altman analysis. Logistic regression modelling explored associations of BFP with GDM. Results. Method comparison reproducibility between Bodystat and RJL was stronger than between Bodystat and Tanita for both BFP and TBW% at all three time points. RJL overestimated BFP on average by 3.3% (p<0.001), with limits of agreement within ±5% for all trimesters. Average BFP was not significantly different between Tanita and Bodystat although limits of agreement exceeded ±5%. GDM diagnosis was independently associated with increased BFP in T1 (adjusted OR 1.117 per 1% increase; 95% CI 1.020–1.224; p=0.017) and in T2 (adjusted OR 1.113 per 1% increase; 95% CI 1.010–1.226; p=0.031) and with Asian ethnicity in all models (OR 7.4–8.1). Conclusion. Reproducibility amongst instruments was moderate; therefore, interchangeability between instruments, particularly for research purposes, cannot be assumed. In this cohort, GDM risk was modestly associated with increasing BFP and strongly associated with Asian ethnicity.

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