scholarly journals New techniques in nutritional assessment: Body composition methods

1999 ◽  
Vol 58 (1) ◽  
pp. 33-38 ◽  
Author(s):  
M. Elia ◽  
L. C. Ward
Keyword(s):  
Body Composition ◽  
Nutritional Assessment ◽  
Fat Body ◽  
Three Dimensional ◽  
Area Under The Curve ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Measurement Instruments ◽  
New Techniques ◽  
Bod Pod

New techniques in air-displacement plethysmography seem to have overcome many of the previous problems of poor reproducibility and validity. These have made body-density measurements available to a larger range of individuals, including children, elderly and sick patients who often have difficulties in being submerged underwater in hydrodensitometry systems. The BOD POD air-displacement system (BOD POD body composition system; Life Measurement Instruments, Concord, CA, USA) is more precise than hydrodensitometry, is simple and rapid to operate (approximately 1 min measurements) and the results agree closely with those of hydrodensitometry (e.g. ± 3.4 % for estimation of body fat). Body line scanners employing the principles of three-dimensional photography are potentially able to measure the surface area and volume of the body and its segments even more rapidly (approximately 10s), but the validity of the measurements needs to be established. Advances in i.r. spectroscopy and mathematical modelling for calculating the area under the curve have improved precision for measuring enrichment of 2H2O in studies of water dilution (CV 0.1–0.9 % within the range of 400–1000 μl/1) in saliva, plasma and urine. The technique is rapid and compares closely with mass spectrometry (bias 1 (SD 2) %). Advances in bedside bioelectrical-impedance techniques are making possible potential measurements of skinfold thicknesses and limb muscle mass electronically. Preliminary results suggest that the electronic method is more reproducible (intra- and inter-individual reproducibility for measuring skinfold thicknesses) and associated with less bias (+ 12 %), than anthropometry (+40%). In addition to these selected examples, the ‘mobility’ or transfer of reference methods between centres has made the distinction between reference and bedside or field techniques less distinct than in the past.

scholarly journals Ichthyometry and electrical bioimpedance analysis to estimate the body composition of tambatinga

2014 ◽  
Vol 44 (2) ◽  
pp. 279-286 ◽  
Author(s):  
Francisco Teixeira Andrade ◽  
Márvio Lobão Teixeira de Abreu ◽  
João Batista Lopes ◽  
Agustinho Valente de Figueiredo ◽  
Maria de Nazaré Bona Alencar Araripe ◽  
...  
Keyword(s):  
Body Composition ◽  
Water Content ◽  
Correlation Coefficients ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Composition Analysis ◽  
Average Weight ◽  
Electrical Bioimpedance ◽  
The Relationship

Body composition analysis is relevant to characterize the nutritional requirements and finishing phase of fish. The aim of this study was to investigate the relationship between ichthyometric (weight, total and standard length, density and yields), bromatological (fat, protein, ash and water content) and bioelectrical-impedance-analysis (BIA) (resistance, reactance, phase angle and composition indexes) variables in the hybrid tambatinga (Colossoma macropomum × Piaractus brachypomus). In a non-fertilized vivarium, 520 juveniles were housed and fed commercial rations. Then, 136 days after hatching (DAH), 15 fish with an average weight of 37.69 g and average total length of 12.96 cm were randomly chosen, anesthetized (eugenol) and subjected to the first of fourteen fortnightly assessments (BIA and biometry). After euthanasia, the following parts were weighed: whole carcass with the head, fillet, and skin (WC); fillet with skin (FS); and the remainder of the carcass with the head (CH). Together, FS and CH were ground and homogenized for the bromatological analyses. Estimates of the body composition and yields of tambatinga, with models including ichthyometric and BIA variables, showed correlation coefficients ranging from 0.81 (for the FS yield) to 1,00 (for the total ash). Similarly, models that included only BIA variables had correlation coefficients ranging from 0.81 (FS and CH yields) to 0.98 (for the total ash). Therefore, in tambatinga, the BIA technique allows the estimation of the yield of the fillet with skin and the body composition (water content, fat, ash, and protein). The best models combine ichthyometric and BIA variables.

scholarly journals C-reactive protein is inversely and independently associated with maximal oxygen uptake in adolescents with obesity

2020 ◽  
Vol 34 (3) ◽  
pp. 463-469
Author(s):  
João Elias Dias Nunes ◽  
Heitor Santos Cunha ◽  
Renata Roland Teixeira ◽  
Foued S. Espindola ◽  
Nádia Carla Cheik
Keyword(s):  
Body Composition ◽  
Cardiorespiratory Fitness ◽  
Fat Body ◽  
High Sensitivity ◽  
Bioelectrical Impedance ◽  
Tnf Alpha ◽  
Maximum Oxygen Consumption ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Control Plasma

The purposes of this study were: 1) investigate whether different markers of infl ammation (CRP and TNF-alpha) are correlated to cardiorespiratory fi tness in adolescents with obesity; 2) examine the association of these variables when adjusted by parameters of body composition. Were selected 57 individuals, 34 girls and 23 boys, with 16.4±1.56 years and body mass index 36.0±4.3 kg/m2. Anthropometric measurements (weight, height and abdominal circunference) and body composition (BMI, visceral fat, body fat) were assessment. Body composition was estimated by analyzer of tetrapolar bioelectrical impedance. Obesity was defi ned as BMI>95th percentile of the curve proposed by the Center for Diseases Control. Plasma TNF-alpha was measured by a quantitative two-site high-sensitivity enzyme immunoassay and CRP was measured by high-sensitivityimmunoturbidimetric assay. Graded maximal exercise testing was performed to obtain the maximum oxygen consumption (VO2max) and velocity associated with the VO2max (vVO2max). Signifi cant correlations of CRP with VO2max and vVO2max were found (r=-0.40 and r=-0,36, respectively). No correlations were observed between TNF-alpha and VO2max e vVO2max. CRP was associated to the VO2max and vVO2max independently of measurements of body composition. The CRP was independently and inversely associated with direct measurement of VO2max and the indirect variable of cardiorespiratory fitness vVO2max, in obese adolescents, even after adjustments in body composition, a potential confounding factor. No association was found between TNF-alpha and the parameters of cardiorespiratory fitness.

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

Association Between Body Composition with Pulmonary Function Tests

2020 ◽  
Author(s):  
Hamidreza Pouragha ◽  
Hosein Kazemi ◽  
Gholamreza Pouryaghoub ◽  
Ramin Mehrdad
Keyword(s):  
Body Composition ◽  
Pulmonary Function ◽  
Visceral Fat ◽  
Pulmonary Function Tests ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Fat Free Mass ◽  
The Other ◽  
Inverse Association ◽  
Cross Sectional

Abstract Background: Why is bodyweight not a predictor of lung function, however, height, sex, race, and age are predictors of lung capacity and function. In this study, we want to investigate the association between body composition and pulmonary function. And as much as possible, answer the question of why bodyweight is not predictive of lung function.Method: This cross-sectional study was performed among 2967 employees of Tehran University of Medical Sciences (TUMS) who participated in the TUMS Employees Cohort (TEC) study. The body composition of the participants was measured using the Bioelectrical Impedance Analysis (BIA) method. Anthropometric variables were also measured as a confounder. The pulmonary function of participants was assessed by a forced spirometry test.Results: The correlation of BIA values including fat-free mass and total body water with a pulmonary function such as FEV1, FVC, and FEF25-75 is higher than most anthropometric values such as weight, wrist circumference, and the waist to hip ratio. Also, in regression analysis, age and sex had an association with pulmonary function, but the weight did not show a significant relationship. On the other hand, fat-free mass and visceral fat were significantly associated with pulmonary function. One is direct and the other is inverse.Conclusion: The hypothesis that the results of this study created in the minds of the authors were that; The direct association of fat-free mass with pulmonary function may be ineffective by the inverse association of visceral fat with pulmonary function, leading to a lack of association between weight and pulmonary function.

Effect of gender, body composition, and equilibration time on the 2H-to-18O dilution space ratio

2006 ◽  
Vol 263 (6) ◽  
pp. E1119-E1124 ◽  
Author(s):  
M. I. Goran ◽  
E. T. Poehlman ◽  
K. S. Nair ◽  
E. Danforth
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Gender Effect ◽  
The Body ◽  
Equilibration Time ◽  
Doubly Labeled Water ◽  
Sources Of Variation ◽  
Chemical Availability ◽  
The Mean ◽  
Space Ratio

Physiological sources of variation in the 2H-to-18O dilution space ratio (DSR) were examined in 34 males and 20 females (4-78 yr; 14.7-143.2 kg; 1.8-61.0% body fat). Dilution spaces were obtained by time 0 extrapolation of isotope washout over 10-14 days, and body composition was obtained by underwater weight (adults) or bioelectrical impedance (children). The mean DSR was 1.050 +/- 0.015 (range 1.029-1.111), significantly higher (P < 0.001) than the traditionally assumed value of 1.029 based on exchange over 4 h. Use of the value 1.029 causes a systematic 8% overestimate of energy expenditure from doubly labeled water, relative to use of the value 1.05. The DSR was not related to body composition or age but was significantly higher (P < 0.05) in males (1.052 +/- 0.016) than in females (1.044 +/- 0.012). This gender effect was not explained by differences in the number of exchangeable hydrogens in the body. We conclude 1) variation in the 2H-to-18O DSR is not explained by body composition but is influenced by the chemical availability of exchangeable hydrogens to undergo exchange; 2) because the DSR is not easily predicted, use of the observed dilution spaces are recommended; 3) if a fixed DSR is used, values of 1.044 and 1.052 are recommended in females and males, respectively.

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

Assessment of body composition measure of bioelectrical impedance in patients operated for pancreatic, gastric and colorectal cancer

2020 ◽  
Vol 92 (1) ◽  
pp. 1-5
Author(s):  
Przemysław Dzierżek ◽  
Krzysztof Kurnol ◽  
Wojciech Hap ◽  
Ewelina Frejlich ◽  
Agata Diakun ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Body Weight ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Intracellular Water ◽  
University Hospital ◽  
Major Surgery ◽  
Average Weight ◽  
Neoplastic Disease

Introduction An adequate level of nutrition is important in the period of reconvalescence in patients undergoing major surgery, in particular due to neoplastic disease. Bioelectrical impedance (BIA - Bioelectrical Impedance Analysis) is a widely used technique for assessing body composition. BIA measurement is easy, fast, cheap and repeatable. Material and methods The body composition of 56 patients (25 women and 31 men) was assessed with bioelectrical impedance analysys. All patients was hospitalized and operated in the Department of General and Oncological Surgery, Wrocław Clinical University Hospital in 2017-2018. Results The average weight loss on the 4th postoperative day is 1.32%, and at discharge from hospital 4.23% of body weight in relation to body weight at admission to the ward. The percentage of fat tissue (FM-Fatt Mass) in patients admitted to the ward is above the normal range. The change in body weight composition in hospitalized patients is mainly related to the amount of adipose tissue and the amount of extra- and intracellular water (ECW-Extracellular Water, ICW-Intracellular Water). Conclusions Bioelectrical impedance can be an easy and effective method to assess body composition and its change in patients undergoing major surgery. Patients operated on due to pancreatic cancer lose the highest percentage of body weight until discharge from the ward in relation to body weight at the time of admission to the ward from the analyzed groups. Weight loss mainly occurs as fat loss (FM).

Mofification of body composition by clenbuterol in normal and dystrophic (mdx) mice

1985 ◽  
Vol 5 (9) ◽  
pp. 755-760 ◽  
Author(s):  
Nancy J. Rothwell ◽  
Michael J. Stock
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Body ◽  
Energy Content ◽  
The Body ◽  
Mdx Mice ◽  
Body Protein ◽  
Lower Protein ◽  
Dystrophic Mice ◽  
Β2 Agonist

Female dystrophic mice (mdx on C57 Black background) gained weight more rapidly than age-matched controls and had a higher body fat content (% body weight), a slightly lower protein content and a reduced mass of muscle. Chronic treatment (21 d) of the mice with the β2-agonist clenbuterol stimulated weight gain in both genotypes without affecting energy intake. Clenbuterol increased the mass of the gastrocnemius and soleus muscle by 13% and 29% in normal and dystrophic mice, respectively, and raised body protein but depressed body fat. Body water and energy content were unaffected by clenbuterol, but the ratio of protein to fat in the carcasses was enhanced by 17% in normal and 56% in dystrophic mice following clenbuterol treatment. Thus, the β2-agonist restored the body composition of dystrophic mice to normal and enhanced the protein to fat ratio in both these and normal mice.

scholarly journals Body composition and Hashimoto disease

2021 ◽  
pp. 345-352
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Good Health ◽  
The Body ◽  
Composition Analysis ◽  
Tissue Water ◽  
Healthy Women ◽  
Hashimoto Disease

Background. Body weight or BMI do not provide any information about the content of muscle tissue, water content, body fat and its distribution in the body. Thyroid dysfunction is associated with a change in body weight, but also its composition regardless of physical activity. Objective. The aim of the study was to compare the body composition of female patients diagnosed with Hashimoto's disease (HD) and the body composition of healthy women who have never been treated before due to thyroid diseases. Materials and methods. The study involved 47 women diagnosed with Hashimoto disease (HD) and 65 women declaring good health. Body mass and height and body composition analysis using bioelectrical impedance analysis were performed using the TANITA multi-frequency segmental body composition analyzer. Variables having a distribution similar to the normal distribution were analyzed by the analysis of variance (ANOVA), otherwise the Kruskal-Wallis test was used. Results. Women with Hashimoto disease were characterized by significantly higher values of body weight, and thus BMI index, than healthy women (respectively 73.64 kg vs. 64.36 kg, p <0.0001; 27.65 kg/m2 vs. 23.95 kg/m2, p <0.001).The problem of excess body fat in the body statistically significantly more often affected women with Hashimoto disease than healthy women (44.7% vs. 13.8%, p <0.001). Conclusions. The results regarding the weight and composition of the patients treated for thyroid disease indicate the need for further in-depth analyses. Even small abnormalities of the thyroid function in the range of reference values may result in the development of many adverse changes in the body.

scholarly journals PPARα Gene Is Involved in Body Composition Variation in Response to an Aerobic Training Program in Overweight/Obese

PPAR Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Glêbia A. Cardoso ◽  
Mateus D. Ribeiro ◽  
Bruno R. V. Sousa ◽  
Yohanna de Oliveira ◽  
Klécia F. Sena ◽  
...  
Keyword(s):  
Body Composition ◽  
Training Program ◽  
Fat Mass ◽  
Aerobic Training ◽  
Nutritional Assessment ◽  
Influential Factors ◽  
The Body ◽  
Peroxisome Proliferator ◽  
Chi Square ◽  
Peroxisome Proliferator Activated Receptor

The objective of this study was to investigate the relationship of the polymorphism in Intron 7 G/C (rs 4253778) of the peroxisome proliferator-activated receptor alpha (PPARα) gene with the magnitude of changes in the body composition of an overweight and obese population that underwent an aerobic training program. Fifty-eight previously inactive men and women, body mass index (BMI) 31.5 ± 2.8   kg / m 2 , 46.5% ( n = 27 ) genotyped as CC genotype and 53.5% ( n = 31 ) as CA+AA, underwent a 12-week aerobic training (walking/running). Aerobic capacity (ergospirometry), body composition (DXA), and nutritional assessment were made before and 48 h after the experimental protocol. Two-way ANOVA, chi-square test, and logistic regression were used ( p < 0.05 ). Twenty-seven volunteers (46.5%) were identified as CC genotype and 31 (53.5%) as CA+AA genotype. Time-group interaction showed that there was no difference in these between two allele groups. However, differences in distribution of respondents or nonresponders according to allele A were identified for fat mass ( p ≤ 0.003 ), percentage fat mass ( p ≤ 0.002 ), the waist ( p ≤ 0.009 ), abdomen ( p ≤ 0.000 ), and hip ( p ≤ 0.001 ), this difference being independent for the fat mass. Meanwhile, sex, age, and nutritional management have also been found to be influential factors. It is concluded that the PPARα gene is involved in varying body composition in response to an aerobic training program.

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