scholarly journals Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1209
Author(s):  
Danúbia da Cunha de Sá-Caputo ◽  
Anelise Sonza ◽  
Ana Carolina Coelho-Oliveira ◽  
Juliana Pessanha-Freitas ◽  
Aline Silva Reis ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression ◽  
Regression Models ◽  
Bioelectrical Impedance ◽  
Fat Distribution ◽  
Multivariate Linear Regression ◽  
Body Fat Percentage ◽  
Linear Regression Models ◽  
Fat Percentage ◽  
Anthropometric Measures

Background: Overweight and obesity are conditions associated with sedentary lifestyle and accumulation of abdominal fat, determining increased mortality, favoring chronic diseases, and increasing cardiovascular risk. Although the evaluation of body composition and fat distribution are highly relevant, the high cost of the gold standard techniques limits their wide utilization. Therefore, the aim of this work was to explore the relationships between simple anthropometric measures and BIA variables using multivariate linear regression models to estimate body composition and fat distribution in adults. Methods: In this cross-sectional study, sixty-eight adult individuals (20 males and 48 females) were subjected to bioelectrical impedance analysis (BIA), anthropometric measurements (waist circumference (WC), neck circumference (NC), mid-arm circumference (MAC)), allowing the calculation of conicity index (C-index), fat mass/fat-free mass (FM/FFM) ratios, body mass index (BMI) and body shape index (ABSI). Statistical analyzes were performed with the R program. Nonparametric Statistical tests were applied to compare the characteristics of participants of the groups (normal weight, overweight and obese). For qualitative variables, the Fisher’s exact test was applied, and for quantitative variables, the paired Wilcoxon signed-rank test. To evaluate the linear association between each pair of variables, the Pearson correlation coefficient was calculated, and Multivariate linear regression models were adjusted using the stepwise variable selection method, with Akaike Information Criterion (p ≤ 0.05). Results: BIA variables with the highest correlations with anthropometric measures were total body water (TBW), body fat percentage (BFP), FM, FFM and FM/FFM. The multiple linear regression analysis showed, in general, that the same variables can be estimated through simple anthropometric measures. Conclusions: The assessment of fat distribution in the body is desirable for the diagnosis and definition of obesity severity. However, the high cost of the instruments (dual energy X-ray absorptiometry, hydrostatic weighing, air displacement plethysmography, computed tomography, magnetic resonance) to assess it, favors the use of BMI in the clinical practice. Nevertheless, BMI does not represent a real fat distribution and body fat percentage. This highlights the relevance of the findings of the current study, since simple anthropometric variables can be used to estimate important BIA variables that are related to fat distribution and body composition.

scholarly journals Bioelectrical Impedance Analysis Versus Quantitative Computer Tomography and Anthropometry for The Assessment of Body Composition Parameters in China

2020 ◽  
Author(s):  
Qian Qin ◽  
Yang Yang ◽  
Jingfeng Chen ◽  
Yaojun Jiang ◽  
Ang Li ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression ◽  
Computer Tomography ◽  
Visceral Fat ◽  
Regression Models ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Linear Regression Models ◽  
Quantitative Computer Tomography

Abstract Objectives: The study evaluated the bioelectrical impedance analysis (BIA) device against the body composition parameters measured by anthropometry and quantitative computer tomography (QCT) to assess its reliability and accuracy among Chinese adults.Methods: Body composition parameters (waist circumstance [WC], body weight, body mass index [BMI] and visceral fat area [VFA]) were measured in 1,379 subjects (20-81 years old), both manually and by BIA, and in 1,317 of 1,379 subjects by QCT. The correlation coefficients were calculated between these measurements. Linear regression models were used to estimate each parameter based on the BIA measurements. Multivariate linear regression models were applied to calculate the correlation among VFA, WC and BMI. The concordance correlation coefficient from the Bland-Altman plots were calculated for VFA between QCT and BIA. Results: High correlation was observed for WC, weight and BMI (adjusted R2=0.78, 0.99 and 0.99) between BIA and anthropometry, and for VFA between BIA and QCT in both sex (adjusted R2=0.549 and 0.462). The multivariate regression models were established for the accurate prediction of QCT-VFA using WC and BMI (adjusted R2=0.603). In addition, a strong consistency of VFA measurement was found between BIA and QCT.Conclusion: Body composition parameters could be accurately determined in clinic using simple measurements of BIA. WC is more reliable as a predictor of visceral fat in the metabolic syndrome. Being non-invasive, accurate and free of radiation, BIA can be used as a safe and convenient tool in scientific research and clinical practice for the quick measurement of anthropometric parameters.

Use of Metformin for Weight Management in Children and Adolescents With Obesity in the Clinical Setting

2018 ◽  
Vol 57 (14) ◽  
pp. 1677-1685 ◽  
Author(s):  
Kathryn E. Kyler ◽  
Rachel B. Kadakia ◽  
Hannah L. Palac ◽  
Soyang Kwon ◽  
Adolfo J. Ariza ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Linear Regression ◽  
Weight Management ◽  
Clinical Setting ◽  
Regression Models ◽  
Obese Patients ◽  
Z Score ◽  
Linear Regression Models ◽  
Anthropometric Measures

Use of metformin for weight loss for children in a clinical setting has not been well described; therefore, we aimed to identify characteristics of obese patients prescribed metformin in a clinical setting and evaluate changes in anthropometric measures. Records of obese patients aged 10 to 18 years without diabetes attending an academic endocrinology practice from 2009 to 2013 were reviewed. Analyses assessed changes in anthropometric measures (weight, body mass index [BMI], and BMI z-score) over 12 months between those prescribed metformin (n = 49) and those not prescribed metformin (n = 142). Outcomes were standardized before using multivariable linear regression models. Patients prescribed metformin were significantly older, more often female, and had larger baseline anthropometric measures (all P < .05). In the models, subjects prescribed metformin had significantly less gain in standardized weight, BMI, and BMI z-score over 6 and 12 months (all P < .05). Metformin may be a useful weight management aid in children in a clinical setting.

scholarly journals Body Composition of Children in the Pre-pubertal and Early-pubertal Period: Are There Some Age-related and Intersexual Differences?

GYMNASIUM ◽  
2019 ◽  
Vol XIX (2) ◽  
pp. 64
Author(s):  
Pavol Čech ◽  
Pavel Ružbarský ◽  
Ľubomír Paučír ◽  
Dalibor Dzugas
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Age Related ◽  
Health Related ◽  
Wallis Anova ◽  
Vega 1

The aim of the presented study was to assess changes in body composition and intersexual differences among children at pre-pubertal and early-pubertal age. The research was designed as a non-randomized cross-section study. The screened sample consisted of 136 girls and 212 boys assigned into three groups according to their age. Body composition was measured using a direct segmental multi-frequency bioelectrical impedance analysis (DSM-BIA). To examine the association between obesity and selected health-related parameters, Kruskal-Wallis ANOVA and Eta2 were used. For evaluation of intersexual differences, Mann-Whitney U-test was used. The presented article is the part of VEGA 1/0840/17 project. From the perspective of age, neither in the group of girls nor boys we recorded any differences in indicators of body composition, namely in body fat mass index, body fat percentage and, in addition, in the group of girls in the waist to hip ratio parameter.

scholarly journals Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

2019 ◽  
Vol 20 (5) ◽  
pp. 373-380
Author(s):  
Wagner Luis Ripka ◽  
Eduardo Esmanhoto ◽  
Leandra Ulbricht
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Reference Method ◽  
Fat Distribution ◽  
Overweight And Obesity ◽  
The Body ◽  
Metropolitan Region ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Lms Method

Percentile indicators, aided in its development by biomedical engineering, relative to body fat distribution in adolescents are able to help health professionals in better diagnosing overweight and obesity. The aim of this study was to calculate percentile values to body fat in adolescents aged between 12 and 17 years from the Curitiba-PR and its metropolitan region composed of 29 municipalities, having as reference method the dual energy x-ray absorptiometry (DXA) technology. After applying inclusion criteria for the adolescents, anthropometric measures of body fat and stature were taken, as well as evaluation of the body composition through DXA. The statistical analysis was grounded in the presentation of percentilic values developed by Cole and Green’s LMS method, where L stands for the skewness curve, M for the mean curve and S for the variance curve. In total, 390 boys were evaluated. The fat percentage values tend to show a decrease between the ages of 12 (22.8±5.1%) and 16 years (17.9±2.9%). Moreover, for the superior percentiles: 90th and 97th re-start to increase at the age of 17 after showing a decrease in the previous years. The L, M and S parameters, altogether with the percentiles created to evaluate body fat are interesting tools to tendency and evolution analyses, as well as to enable inferences to be made about the body composition of adolescents.

scholarly journals Despite Low Obesity Rates, Body Mass Index Under-Estimated Obesity among Russian Police Officers When Compared to Body Fat Percentage

2020 ◽  
Vol 17 (6) ◽  
pp. 1937 ◽  
Author(s):  
Katie M. Heinrich ◽  
Konstantin G. Gurevich ◽  
Anna N. Arkhangelskaia ◽  
Oleg P. Karazhelyaskov ◽  
Walker S. C. Poston
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Police Officers ◽  
Weight Status ◽  
Bioelectrical Impedance ◽  
Accurate Method ◽  
Body Fat Percentage ◽  
Fat Percentage

In some countries, obesity rates among police officers are higher than the general public, despite physically demanding jobs. Obesity rates based on body mass index (BMI) may lack accuracy as BMI does not directly address body composition. Since data are lacking for obesity rates among Russian police officers, this study documented and compared officer obesity rates to the adult Russian population and compared the accuracy of body mass index (BMI) for obesity classification to two direct measures of body composition. Moscow region police officers (N = 182, 84% men) underwent height, weight, waist circumference (WC), and body fat percentage (BF%) bioelectrical impedance measurements during annual medical examinations. BMI-defined obesity rates were 4.6% for men and 17.2% for women, which were >3 and >1.8 times lower than Russian adults, respectively. WC-defined obesity rates were similar to BMI (3.3% for men and 10.3% for women), but BF%-defined obesity rates were much higher (22.2% for men and 55.2% for women). Although obesity rates were lower than those found among police officers in other countries, BMI alone was not a particularly accurate method for classifying weight status among Russian police officers.

scholarly journals The Influence of Sitting, Standing, and Stepping Bouts on Cardiometabolic Health Markers in Older Adults

2021 ◽  
pp. 1-9
Author(s):  
Simone J.J.M. Verswijveren ◽  
Cormac Powell ◽  
Stephanie E. Chappel ◽  
Nicola D. Ridgers ◽  
Brian P. Carson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Composition ◽  
Linear Regression ◽  
Regression Models ◽  
Fasting Glucose ◽  
Cardiometabolic Health ◽  
Linear Regression Models ◽  
Cross Sectional

Aside from total time spent in physical activity behaviors, how time is accumulated is important for health. This study examined associations between sitting, standing, and stepping bouts, with cardiometabolic health markers in older adults. Participants from the Mitchelstown Cohort Rescreen Study (N = 221) provided cross-sectional data on activity behaviors (assessed via an activPAL3 Micro) and cardiometabolic health. Bouts of ≥10-, ≥30-, and ≥60-min sitting, standing, and stepping were calculated. Linear regression models were fitted to examine the associations between bouts and cardiometabolic health markers. Sitting (≥10, ≥30, and ≥60 min) and standing (≥10 and ≥30 min) bouts were detrimentally associated with body composition measures, lipid markers, and fasting glucose. The effect for time spent in ≥60-min sitting and ≥30-min standing bouts was larger than shorter bouts. Fragmenting sitting with bouts of stepping may be targeted to benefit cardiometabolic health. Further insights for the role of standing need to be elicited.

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