scholarly journals WS05.4 Nutritional status as assessed by 3 compartment model bioelectrical impedance analysis predicts lung function in adult patients with cystic fibrosis after lung transplantation

2017 ◽  
Vol 16 ◽  
pp. S9
Author(s):  
K. Staufer ◽  
E. Halilbasic ◽  
P. Hillebrand ◽  
S. Harm ◽  
S. Schwarz ◽  
...  
2018 ◽  
Author(s):  
Carla M Prado ◽  
Camila LP Oliveira ◽  
M Cristina Gonzalez ◽  
Steven B Heymsfield

Body composition assessment is an important tool in both clinical and research settings able to characterize the nutritional status of individuals in various physiologic and pathologic conditions. Health care professionals can use the information acquired by body composition analysis for the prevention and treatment of diseases, ultimately improving health status. Here we describe commonly used techniques to assess body composition in healthy individuals, including dual-energy x-ray absorptiometry, bioelectrical impedance analysis, air displacement plethysmography, and ultrasonography. Understanding the key underlying concept(s) of each assessment method, as well as its advantages and limitations, facilitates selection of the method of choice and the method of the compartment of interest. This review contains 5 figures, 3 tables and 52 references Key words: air displacement plethysmography, bioelectrical impedance analysis, body composition, disease, dual-energy x-ray absorptiometry, health, muscle mass, nutritional status, obesity, sarcopenia, ultrasound fat mass


2018 ◽  
Vol 9 (1) ◽  
pp. 24-30
Author(s):  
Mirele S. Mialich ◽  
Bruna R. Silva ◽  
Alceu A. Jordao

Abstract The objective of this study was to improve the cutoff points of the traditional classification of nutritional status and overweight / obesity based on the BMI in a Brazilian sample. A cross-sectional study was conducted on 1301 individuals of both genders aged 18 to 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Simple linear regression was used for statistical analysis, with the level of significance set at p < 0.05. The sample consisted of 29.7% men and 70.3% women aged on averaged 35.7 ± 17.6 years; mean weight was 67.6 ± 16.0 kg, mean height was 164.9 ± 9.5 cm, and mean BMI was 24.9 ± 5.5 kg/m2. As expected, lower cutoffs were found for BMI than the classic reference points traditionally adopted by the WHO for the classification of obesity, i.e., 27.15 and 27.02 kg/m2 for obesity for men and women, respectively. Other authors also follow this tendency, Romero-Corral et al. (2008) suggested 25.8 to 25.5 kg/m2 for American men and women as new values for BMI classification of obesity. Gupta and Kapoor (2012) proposed 22.9 and 28.8 kg/m2 for men and women of North India. The present investigation supports other literature studies which converge in reducing the BMI cutoff points for the classification of obesity. Thus, we emphasize the need to conduct similar studies for the purpose of defining these new in populations of different ethnicities.


2020 ◽  
Vol 83 (3) ◽  
pp. 239-250
Author(s):  
Aleksandra John ◽  
Joanna Goździk-Spychalska ◽  
Magdalena Durda-Masny ◽  
Wojciech Czaiński ◽  
Marta Gębala ◽  
...  

AbstractThe study aimed to assess: (1) differences in nutritional status and lung function between CF patients and the control group; (2) differences in body composition and lung function between groups of patients with CF designated by type of mutation; (3) the relationship between lung function and body composition in CF patients.We studied 37 CF patients aged 19 to 51 years, and 41 healthy non-CF volunteers. Nutritional status was evaluated based on the BMI and the bioelectrical impedance analysis. The lung function was described by FEV1%. CF patients were classified according to the CFTR genotype based on five classes of mutations. BMI were lower in CF patients compared to reference group (women: Z = 3.76, p <0.001, men: Z = 3.06, p = 0.002). CF patients had a lower mean content of particular body components, as well as FEV1% values. BMI differed significantly depending on the type of mutation in females (H = 10.33, p = 0.006) and males (H = 8.26, p = 0.016). The lowest values of BMI were observed in the group of patients with severe types of mutations. Also, variables describing body composition were statistically significantly lower in patients with a severe type of mutations. The CFTR gene mutation type statistically significantly differentiated FEV1% (H = 23.22, p <0.000). The results of the logistic regression analysis showed that the likelihood of dropping FEV1% below the norm was twice as high in undernourished females and males. To assess the nutritional status of CF patients, more informative methods describing the proportions of body components are required.


2020 ◽  
Vol 19 ◽  
pp. S155-S156
Author(s):  
T. Odobasic Palkovic ◽  
D. Tjesic-Drinkovic ◽  
D. Tjesic-Drinkovic ◽  
I. Godic ◽  
I. Lalic ◽  
...  

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