Anthropometric and bioimpedance equations for fat and fat-free mass in Chilean children 7–9 years of age

2020 ◽  
pp. 1-6
Author(s):  
Gabriela Salazar ◽  
Barbara Leyton ◽  
Carolina Aguirre ◽  
Alyerina Anziani ◽  
Gerardo Weisstaub ◽  
...  

Abstract Assessing children’s growth adequately is important due to the necessary prevention of adequate body composition, especially at pre-pubertal age. Simpler measurements such as anthropometry or bioimpedance, using equations validated in Caucasian children, have been demonstrated to overestimate or underestimate fat mass percentage (FM%) or fat-free mass (FFM) in Chilean children. In a sample of 424 children (198 boys and 226 girls) of 7–9 years old, the three component (3C) model was assessed, where total body water was determined by 2H dilution and body volume by air displacement plethysmography, in order to design and validate anthropometry and bioimpedance equations. The FM (%) equation specific for Chilean children was validated as (1·743 × BMI z-score) + (0·727 × triceps skinfold) + (0·385 × biceps skinfold) + 15·985, against the 3C model (R2 0·79). The new FFM equation (kg) generated was (log FFM = (0·018 × age) + (0·047 × sex) + (0·006 × weight) + (0·027 × resistance) + 2·071), with an R2 0·93 (female = 1 and male = 2). The Bland–Altman analysis shows a mean difference of 0·27 (sd 3·5) for the FM% in the whole group as well as 0·004 (sd 0·9) kg is the mean difference for the bioelectrical impedance analysis (BIA) FFM (kg) equation. The new equations for FM (%) and FFM (kg) in Chilean children will provide a simple and valid tool for the assessment of body composition in cohort studies or to assess the impact of nutritional programmes or public policies.

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1689-1689
Author(s):  
Rawiwan Sirirat ◽  
Celine Heskey ◽  
Christine Wilson ◽  
Edward Bitok ◽  
Julie Jones ◽  
...  

Abstract Objectives The accurate measurement of body composition is important in both research and clinical practice. The aim of this study was to compare the InBody relative to the BOD POD®. The latter is widely recognized as one of the most accurate methods to measure human body composition. Methods In the context of a clinical trial of 35 free-living non-athletic individuals [80% F, ages 40–69 years, BMI 25–34 kg/m2], we compared body composition measurements utilizing Bioelectrical Impedance Analysis (BIA) and Air Displacement Plethysmography (ADP). ADP was conducted in a BOD POD® (Cosmed USA Inc., Concord, CA, USA) and BIA measured using InBody 570 (In Body, Cerritos, CA, USA). Body measurements included total body weight, fat mass and fat-free mass which were obtained in kilograms following manufacturer instructions. Spearman's rank (rs) and Pearson correlations (r) were used to evaluate the agreement between the two instruments. Results The BOD POD® and InBody measurements were strongly correlated. Correlation was strongest for total body weight (rs (35) = .99, P < .0001), followed by fat mass (r (35) = .93, P < .0001). The lowest correlation was observed for fat-free mass (rs (35) = .79, P < .0001). Conclusions The InBody 570 is reliable and compares favorably to the BOD POD®. Hence, it can be used in clinical settings and epidemiological studies as a practical and relatively inexpensive alternative to the BodPod and dual-energy x-ray absorptiometry (DEXA). Funding Sources Nutrition Research Center, School of Public Health, Loma Linda University, Loma Linda, CA, USA.


Author(s):  
Beatriz Rael ◽  
Nuria Romero-Parra ◽  
Víctor M. Alfaro-Magallanes ◽  
Laura Barba-Moreno ◽  
Rocío Cupeiro ◽  
...  

Purpose: The influence of female sex hormones on body fluid regulation and metabolism homeostasis has been widely studied. However, it remains unclear whether hormone fluctuations throughout the menstrual cycle (MC) and with oral contraceptive (OC) use affect body composition (BC). Thus, the aim of this study was to investigate BC over the MC and OC cycle in well-trained females. Methods: A total of 52 eumenorrheic and 33 monophasic OC-taking well-trained females participated in this study. Several BC variables were measured through bioelectrical impedance analysis 3 times in the eumenorrheic group (early follicular phase, late follicular phase, and midluteal phase) and on 2 occasions in the OC group (withdrawal phase and active pill phase). Results: Mixed linear model tests reported no significant differences in the BC variables (body weight, body mass index, basal metabolism, fat mass, fat-free mass, and total body water) between the MC phases or between the OC phases (P > .05 for all comparisons). Trivial and small effect sizes were found for all BC variables when comparing the MC phases in eumenorrheic females, as well as for the OC cycle phases. Conclusions: According to the results, sex hormone fluctuations throughout the menstrual and OC cycle do not influence BC variables measured by bioelectrical impedance in well-trained females. Therefore, it seems that bioimpedance analysis can be conducted at any moment of the cycle, both for eumenorrheic women and women using OC.


2018 ◽  
Vol 120 (7) ◽  
pp. 797-802 ◽  
Author(s):  
Christine Delisle Nyström ◽  
Emmie Söderström ◽  
Pontus Henriksson ◽  
Hanna Henriksson ◽  
Eric Poortvliet ◽  
...  

AbstractAir displacement plethysmography utilises a two-component model to assess body composition, which relies on assumptions regarding the density of fat-free mass (FFM). To date, there is no evidence as to whether Lohman’s or Wells et al.’s FFM density values are more accurate in young children. Therefore, the aims of this study were to compare total body fat percentage (TBF%) assessed using the BodPod with both Lohman’s and Wells et al.’s FFM density values with TBF% from the three-component (3C) model in forty healthy Swedish children aged 5·5 years. Average TBF% calculated using Lohman’s FFM density values underestimated TBF% in comparison with the corresponding value assessed using the 3C model (22·2 (sd 5·7) and 25·1 (sd 5·5) %, respectively; P<0·001). No statistically significant difference was observed between TBF% assessed using Wells et al.’s FFM density values and the 3C model (24·9 (sd 5·5) and 25·1 (sd 5·5) %, respectively; P=0·614). The Bland and Altman plots for TBF% using both Lohman’s and Wells et al.’s FFM density values did not show any bias across the range of body fatness (Lohman: r 0·056, P=0·733 and Wells et al.: r −0·006, P=0·970). These results indicate that Wells et al.’s FFM density values should be used when assessing body composition with the paediatric option for BodPod in 5-year-old children. However, future studies are needed to confirm these results in other populations, including a wider age range of children.


1998 ◽  
Vol 32 (1) ◽  
pp. 65-71 ◽  
Author(s):  
K. Rutter ◽  
L. Hennoste ◽  
L. C. Ward ◽  
B. H. Cornish ◽  
B. J. Thomas

Bioelectrical impedance analysis (BIA) was used to assess body composition in rats fed on either standard laboratory diet or on a high-fat diet designed to induce obesity. Bioelectrical impedance analysis predictions of total body water and thus fat-free mass (FFM) for the group mean values were generally within 5% of the measured values by tritiated water (3H2O) dilution. The limits of agreement for the procedure were, however, large, approximately ±25%, limiting the applicability of the technique for measurement of body composition in individual animals.


2019 ◽  
Vol 9 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Simone De Leo ◽  
Carla Colombo ◽  
Marta Di Stefano ◽  
Antonella Dubini ◽  
Silvia Cozzi ◽  
...  

Weight loss is one of the most frequent adverse events during treatment with multikinase inhibitors, but scanty data are available on its extent and characteristics. This is the first assessment of the body composition by bioelectrical impedance analysis and of circulating leptin and ghrelin levels, in patients with advanced thyroid cancer before and at regular intervals during treatment with the tyrosine kinase inhibitor lenvatinib. Body mass index (BMI) decreased in all patients, with an average ∆ reduction of –6.4, –9.8, and –15.3% at 3, 6, and 12 months of treatment, respectively. Interestingly, in most patients, after the first year of treatment, BMI remained stable. In all patients, fat mass (FM) reduced more than fat-free mass, the highest decrement being of –60 and –16%, respectively. A decrease in the body cell mass, a parameter mainly due to muscle tissue, was observed only in patients with a vast baseline muscular mass. Total body water decreased in parallel to BMI. During treatment, leptin tightly paralleled the decrease of BMI values, consistent with the decrease in FM, whereas ghrelin levels increased upon BMI decrease. The loss of the FM accounts for the largest portion of BMI reduction during lenvatinib treatment. The increase in ghrelin could account for the BMI stabilization observed after 1 year of treatment. Nevertheless, oral nutritional supplements should be given as early as possible and athletic patients should be encouraged to maintain physical activity. In some circumstances, parenteral nutrition is required for the rehabilitation of these patients.


2020 ◽  
Vol 124 (3) ◽  
pp. 349-360
Author(s):  
Sharin Asadi ◽  
Frank H. Bloomfield ◽  
Tanith Alexander ◽  
Chris J. D. McKinlay ◽  
Elaine C. Rush ◽  
...  

AbstractMeasurement of body composition is increasingly important in research and clinical settings but is difficult in very young children. Bioelectrical impedance analysis (BIA) and air displacement plethysmography (ADP) are well-established but require specialist equipment so are not always feasible. Our aim was to determine if anthropometry and skinfold thickness measurements can be used as a substitute for BIA or ADP for assessing body composition in very young New Zealand children. We used three multi-ethnic cohorts: 217 children at a mean age of 24·2 months with skinfold and BIA measurements; seventy-nine infants at a mean age of 20·9 weeks and seventy-three infants at a mean age of 16·2 weeks, both with skinfold and ADP measurements. We used Bland–Altman plots to compare fat and fat-free mass calculated using all potentially relevant equations with measurements using BIA or ADP. We also calculated the proportion of children in the same tertile for measured fat or fat-free mass and tertiles (i) calculated using each equation, (ii) each absolute skinfold, and (iii) sum of skinfold thicknesses. We found that even for the best equation for each cohort, the 95 % limits of agreement with standard measures were wide (25–200 % of the mean) and the proportion of children whose standard measures fell in the same tertile as the skinfold estimates was ≤69 %. We conclude that none of the available published skinfold thickness equations provides good prediction of body composition in multi-ethnic cohorts of very young New Zealand children with different birth history and growth patterns.


1993 ◽  
Vol 69 (3) ◽  
pp. 657-664 ◽  
Author(s):  
Frouwkje G. De Waart ◽  
Ruowei Li ◽  
Paul Deurenberg

Fat-free mass (FFM) was estimated in forty-seven premenopausal Chinese women, aged 18–43 years, from anthropometric data (skinfolds, body mass index (weight/height2; BMI)) or bioelectrical impedance, using several prediction formulas for body composition from the literature, and values compared with the mean of these three individual methods used as a frame of reference. In thirty-six women these values could be compared with FFM calculated from total body water (TBW) determined by D2O dilution. The prediction formulas used were developed from studies on Caucasian adults and their validity will have to be shown in populations with different ethnic backgrounds. The mean difference between FFM predicted from BMI and the frame of reference was 0.1 kg (95 % confidence interval (CI) -0.1, 0.4), from bioelectrical impedance it was 0.5 kg (95% CI 0.3, 0.7), and from skinfolds it was -0.6 kg (95% CI -0.9, -0.4). The mean difference between FFM calculated from TBW and the frame of reference was higher (2.2 kg, 95 % CI 1.2,3.3). The results of the present study indicate that the three methods may be valid for predicting body composition in adult Chinese females, but further research is needed on development and cross-validation of prediction equations for body composition for Chinese.


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


2010 ◽  
Vol 54 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Alexis D. Guedes ◽  
Bianca Bianco ◽  
Mônica V. N. Lipay ◽  
Emmanuela Q. Callou ◽  
Marise L. Castro ◽  
...  

INTRODUCTION: Cardiovascular disease is one of the main causes for Turner syndrome (TS) mortality and the evaluation of its risk factors such as excess body fat and its distribution is considered one of the major aspects of the adult patient care. OBJECTIVE: To develop and validate a specific bioelectrical impedance analysis (BIA) equation to predict body composition in TS patients. SUBJECTS AND METHODS: Clinical and anthropometric data, dual-energy X-ray absorptiometry (DXA) for total fat-free mass (FFM) and BIA for resistance and reactance were obtained from 50 adult TS patients. Linear regression analysis was performed with multiple clinical and BIA data to obtain a predicting equation. RESULTS: The equation developed to estimate FFM in adult TS patients showed great consistency with DXA, elevated correlation (r = 0. 974) and determination (r² = 0. 948) coefficients and an adequate standard error estimate (SEE = 1.52 kg). CONCLUSIONS: The specific equation developed here allowed making an adequate FFM estimate in adult TS patients.


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