Comparison of Body Compositions Evaluated with Bioelectrical Impedance Analysis (BIA) with Metabolic, Hormonal and Anthropometric Measurements in PCOS Patients

The proportion of obese and overweight children is alarmingly high. This dictates the need for promoting healthy lifestyle and eating habits in children. Summer camps provide a wide range of activities to improve children’s health. However, methods used to assess children’s nutritional status during a camp session need to be analyzed in depth, and a rationale should be provided for the use of bioelectrical impedance analysis (BIA) and anthropometric measurements as efficacy criteria for summer camp healthcare. We examined 125 boys and 221 girls aged 8–15 years spending their summer holidays at 3 different camps. Measurements were taken twice: on days 1 and 2 upon arrival to a camp and 2 days before leaving for home. In each camp, both positive and negative health weight dynamics were observed. The overall weight dynamics in children from camps 1 and 2 were statistically insignificant (p = 0.415 and p = 0.585), in contrast to camp 3 where those changes were significant (p = 0.025). BIA revealed that less than 44.34% of children had gained skeletal muscle mass during their stay at the camp, whereas weight loss was associated with both decreased fat and skeletal muscle masses. BIA confirms the results of anthropometric measurements and also provides information about the diet offered to children and their level of physical activity. Therefore, the use of anthropometric measurements and BIA could be an informative method for assessing the efficacy of healthcare in summer camps.

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A comparison between handgrip strength, upper limb fat free mass by segmental bioelectrical impedance analysis (SBIA) and anthropometric measurements in young males

Journal of Physics Conference Series ◽

10.1088/1742-6596/434/1/012067 ◽

2013 ◽

Vol 434 ◽

pp. 012067

Author(s):

C H Gonzalez-Correa ◽

J C Caicedo-Eraso ◽

D R Varon-Serna

Keyword(s):

Upper Limb ◽

Bioelectrical Impedance Analysis ◽

Handgrip Strength ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Anthropometric Measurements ◽

Fat Free Mass ◽

Young Males ◽

Segmental Bioelectrical Impedance

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A New Strategy to Integrate Heath–Carter Somatotype Assessment with Bioelectrical Impedance Analysis in Elite Soccer Players

Sports ◽

10.3390/sports8110142 ◽

2020 ◽

Vol 8 (11) ◽

pp. 142

Author(s):

Francesco Campa ◽

Tindaro Bongiovanni ◽

Catarina N. Matias ◽

Federico Genovesi ◽

Athos Trecroci ◽

...

Keyword(s):

Bioelectrical Impedance Analysis ◽

Cross Validation ◽

Predictive Ability ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Anthropometric Measurements ◽

Fat Free Mass ◽

Soccer Players ◽

New Strategy ◽

Soccer Teams

Easy-to-apply and quick methods for evaluate body composition are often preferred when assessing soccer teams. This study aimed to develop new equations for the somatotype quantification that would reduce the anthropometric measurements required by the Heath and Carter method, integrating the somatotype assessment to the bioelectrical impedance analysis (BIA). One hundred and seventy-six male elite soccer players (age 26.9 ± 4.5 years), registered in the Italian first division (Serie A), underwent anthropometric measurements and BIA. Endomorphy, mesomorphy, and ectomorphy were obtained according to the Heath and Carter method, while fat mass (FM) and fat free mass (FFM) estimated using a BIA-derived equation specific for athletes. The participants were randomly split into development (n = 117) and validation groups (n = 59, 1/3 of sample). The developed models including resistance2/stature, FM%, FFM, contracted arm and calf circumference, triceps, and supraspinal skinfolds had high predictive ability for endomorphy (R2 = 0.83, Standard Error of Estimate (SEE) = 0.16) mesomorphy (R2 = 0.80, SEE = 0.36), and ectomorphy (endomorphy (R2 = 0.87, SEE = 0.22). Cross validation revealed R2 of 0.80, 0.84, 0.87 for endomorphy, mesomorphy, and ectomorphy, respectively. The proposed strategy allows the integration of somatotype assessment to BIA in soccer players, reducing the number of instruments and measurements required by the Heath and Carter approach.

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Measurement of total and visceral fat mass in young adult women: a comparison of MRI with anthropometric measurements with and without bioelectrical impedance analysis

British Journal of Radiology ◽

10.1259/bjr.20190874 ◽

2020 ◽

Vol 93 (1110) ◽

pp. 20190874

Author(s):

Matthias F. Froelich ◽

Marina Fugmann ◽

Charlotte Lütke Daldrup ◽

Holger Hetterich ◽

Eva Coppenrath ◽

...

Keyword(s):

Linear Regression ◽

Predictive Value ◽

Regression Models ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Anthropometric Measurements ◽

Linear Regression Models ◽

Multivariable Model ◽

Hip Circumference

Objective: MRI is established for measurement of body fat mass (FM) and abdominal visceral adipose tissue (VAT). Anthropometric measurements and bioelectrical impedance analysis (BIA) have been proposed as surrogates to estimation by MRI. Aim of this work is to assess the predictive value of these methods for FM and VAT measured by MRI. Methods: Patients were selected from cohort study PPS-Diab (prediction, prevention and subclassification of Type 2 diabetes). Total FM and VAT were quantified by MRI and BIA together with clinical variables like age, waist and hip circumference and height. Least-angle regressions were utilized to select anthropometric and BIA parameters for their use in multivariable linear regression models to predict total FM and VAT. Bland–Altman plots, Pearson correlation coefficients, Wilcoxon signed-rank tests and univariate linear regression models were applied. Results: 116 females with 35 ± 3 years and a body mass index of 25.1 ± 5.3 kg/m2 were included into the analysis. A multivariable model revealed weight (β = 0.516, p < 0.001), height (β = −0.223, p < 0.001) and hip circumference (β = 0.156, p = 0.003) as significantly associated with total FM measured by MRI. A additional multivariable model also showed a significant predictive value of FMBIA (β = 0.583, p < 0.001) for FM. In addition, waist circumference (β = 0.054, p < 0.001), weight (β = 0.016, p = 0.031) in one model and FMBIA (β = 0.026, p = 0.018) in another model were significantly associated with VAT quantified by MRI. However, deviations reached more than 5 kg for total FM and more than 1 kg for VAT. Conclusion: Anthropometric measurements and BIA show significant association with total FM and VAT. Advances in knowledge: As these measurements show significant deviations from the absolute measured values determined by MRI, MRI should be considered the gold-standard for quantification.

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