Correlation study between body anthropometric measurements with body fat in adult
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Introduction: The purpose of this study is to assess the validity of Bioelectrical Impedance Analysis (BIA) to characterize the body fat percentage and its correlation with anthropometric indices. Materials and Methods: The following indices were carried out: weight, height, body mass index (BMI), waist-hip ratio (WHR) taken random samples of 100 subject. The body fat percentages were assessed by bioelectrical impedance analysis. Results: Positive Correlation between body anthropometric indices with body fat. Conclusion: That study concluded that body fat was strong positive correlated with BMI and fair positive correlated with WHR means body fat increased that leads to waist hip ratio and body mass index.Keywords:
Bioelectrical Impedance Analysis
Body adiposity index
Body Fat Percentage
Waist–hip ratio
Body volume index
Waist-to-height ratio
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(1) Background: The determination of body composition is an important method to investigate patients with obesity and to evaluate the efficacy of individualized medical interventions. Bioelectrical impedance-based methods are non-invasive and widely applied but need to be validated for their use in young patients with obesity. (2) Methods: We compiled data from three independent studies on children and adolescents with obesity, measuring body composition with two bioelectrical impedance-based devices (TANITA and BIACORPUS). For a small patient group, additional data were collected with air displacement plethysmography (BOD POD) and dual-energy X-ray absorptiometry (DXA). (3) Results: Our combined data on 123 patients (age: 6–18 years, body mass index (BMI): 21–59 kg/m²) and the individual studies showed that TANITA and BIACORPUS yield significantly different results on body composition, TANITA overestimating body fat percentage and fat mass relative to BIACORPUS and underestimating fat-free mass (p < 0.001 for all three parameters). A Bland–Altman plot indicated little agreement between methods, which produce clinically relevant differences for all three parameters. We detected gender-specific differences with both methods, with body fat percentage being lower (p < 0.01) and fat-free mass higher (p < 0.001) in males than females. (4) Conclusions: Both bioelectrical impedance-based methods provide significantly different results on body composition in young patients with obesity and thus cannot be used interchangeably, requiring adherence to a specific device for repetitive measurements to ascertain comparability of data.
Bioelectrical Impedance Analysis
Body Fat Percentage
Plethysmograph
Fat free mass
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Background: An excessive accumulation of the adipose tissue in women's organism is a frequent and important medical problem which should be monitored. The aim of this study was to explore correlations between the selected parameters of body composition assessed using DXA and anthropometric methods. Materials and Methods: The study group consisted of 50 women aged 51–85. Both adipose mass and fat-free mass were assessed with the DXA method, and the nutritional status of the participants was evaluated with the anthropometric methods. Results: The mean body mass index (BMI) value assessed with the DXA method amounted to 28.4 (±5.12). The Spearman's Rho correlation indicated the presence of a moderate association (0.27–0.50) between: (1) right arm lean and the circumference of the arm (P = 0.020), forearm (P = 0.011), and transverse cross-section of the arm (P = 0.020), (2) right leg fat and circumference of the thigh (P = 0.003), shin (P = 0.009), and also the musculature index of the lower extremity (P = 0.034), (3) visceral adipose tissue (VAT) mass and BMI (P = 0.050), Waist to HeightRatio (WtHR) (P = 0.031), (4) Android fat and WHtR (P = 0.044), and (5) gynoid fat and Škerlj index (P = 0.025). Conclusion: The selected parameters assessed with DXA were significantly correlated with the selected parameters assessed with anthropometric methods. WHtR anthropometric parameter is significantly correlated with DXA parameters: VAT mass, gynoid region % fat and android region % fat.
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This investigation compared the percentage of body fat obtained using the bioelectrical impedance technique and the anthropometric technique on a black pediatric population consisting of 196 subjects, 93 girls and 103 boys, ages 5-11 years. Subjects were measured utilizing the Bioelectrical Impedance Analyzer-103 (RJL Systems, Inc.). In order to simulate a realistic school environment, protocol was deliberately not followed. Anthropometric measurements were obtained at two sites: triceps and medial calf. The anthropometric and BIA percentages of body fat were compared using the Pearson product-moment coefficient or correlation and an ANOVA. The overall relationship between the groups was .809. Use of the BIA appears to lead to an overestimation of fatness in black children.
Bioelectrical Impedance Analysis
Body Fat Percentage
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Bioelectrical Impedance Analysis
Body Fat Percentage
Stepwise regression
Circumference
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Bioelectrical impedance analysis (BIA), based upon electrical conductivity of fat free mass, seems to be a rapid and useful method to predict body composition. The purpose of this study was to estimate the body composition of 32 young women using BIA and to compare its results with anthropometry (skinfolds measurements). No significant differences between fat-free mass or fat mass obtained by the two different methods were found. A high correlation between both methods for fat free mass (r = 0.826), fat mass (r = 0.861) and percentage of fat (r = 0.697) were found. On the other hand, correlation between resistance (r = -0.661), impedance (r = -0.663), height2/resistance (r = 0.803), height2/impedance (r = 0.804) and height2/reactance (r = 0.533) and fat free mass obtained by skinfolds measurements have been observed. These results suggest that BIA may be an adequate method besides anthropometry to assess body composition in homogeneous population with a stable body weight.
Bioelectrical Impedance Analysis
Fat free mass
Hydrostatic weighing
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Body volume index
Body adiposity index
Body Shape Index
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Body adiposity index
Body Shape Index
Body volume index
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Skinfold thickness
Body Fat Percentage
Waist–hip ratio
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Bioelectrical Impedance Analysis
Body Fat Percentage
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Citations (1)