Anthropometric Indicators to Estimate Percentage of Body Fat: A Comparison Using Cross-Sectional Data of Children and Adolescents in Ho Chi Minh City, Vietnam

2021 ◽  
Author(s):  
Hong K. Tang ◽  
Chi T.C. Nguyen ◽  
Ngoc H.T. Vo
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Ho Chi Minh City ◽  
Cross Sectional ◽  
Anthropometric Indicators ◽  
Percentage Of Body Fat

scholarly journals Anthropometric measures associated with fat mass estimation in children and adolescents with HIV

2019 ◽  
Vol 44 (5) ◽  
pp. 493-498
Author(s):  
Carlos A.S. Alves Junior ◽  
Luiz Rodrigo Augustemak de Lima ◽  
Michele Caroline de Souza ◽  
Diego Augusto Santos Silva
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Significance Level ◽  
Air Displacement Plethysmography ◽  
Anthropometric Indicators

To verify the association between anthropometric indicators and body fat percentage estimated by dual X-ray absorptiometry (DXA) and air displacement plethysmography (ADP) in children and adolescents diagnosed with human immunodeficiency virus (HIV). This cross-sectional study was carried out with 62 children and adolescents with HIV (aged 8 to 15 years). Body fat percentage was estimated by DXA and ADP. Anthropometric indicators were skinfolds (abdominal, triceps, subscapular, calf), perimeter relaxed arm (PRA), waist circumference (WC), perimeter neck, body mass index (BMI), waist-to-height ratio, conicity index, and body adiposity index. Linear regressions were performed with 5% significance level. In boys (adjusted R2 (R2adj) = 0.38 to R2adj = 0.67) and girls (R2adj = 0.41 to R2adj = 0.57), all anthropometric indicators were associated with body fat percentage estimated by DXA. For boys, skinfolds were associated with body fat percentage estimated by ADP (R2adj = 0.18 to R2adj = 0.35). In girls, skinfolds (R2adj = 0.27 to R2adj = 0.44, BMI (R2adj = 0.31), PRA (R2adj = 0.36), and WC (R2adj = 0.26) were associated to body fat percentage by ADP. Abdominal skinfold was the indicator that most explained the variation in body fat percentage measured by DXA and ADP in both sexes. Anthropometric indicators are strongly associated with body fat, measured by reference methods, and can assist health professionals in monitoring the health of children and adolescents with HIV.

scholarly journals Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI

2021 ◽  
Vol 1 ◽  
Author(s):  
Rebekka Mumm ◽  
Anna Reimann ◽  
Christiane Scheffler
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Field Studies ◽  
Skinfold Thickness ◽  
Public Health Research ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Obese Children ◽  
Cross Sectional ◽  
Skeletal Robusticity

Background Over the last 20 years, a decreasing trend in external skeletal robusticity and an increasing trend in overweight and obesity was observed worldwide in adults and children as modern lifestyles in nutritional and activity behavior have changed. However, body mass index (BMI) as a measure for overweight is not an ideal predictor of % body fat (%BF) either in children and adolescents or in adults. On the contrary, it disguises a phenomenon called “hidden obesity”. Objectives We aim to approximate %BF by combining skeletal robusticity and BMI and develop an estimation-based tool to identify normal weight obese children and adolescents. Sample and Methods We analyzed cross-sectional data on height, weight, elbow breadth, and skinfold thickness (triceps and subscapular) of German children aged 6 to 18 years (N=15,034). We used modified Hattori charts and multiple linear regression to develop a tool, the “%BF estimator”, to estimate %BF by using BMI and skeletal robusticity measured as Frame Index. Results Independent of sex and age an increase in BMI is associated with an increase in %BF, an increase in Frame Index is associated with a decrease in %BF. The developed tool “%BF estimator” allows the estimation of %BF per sex and age group after calculation of BMI and Frame Index. Conclusion The “%BF estimator” is an easily applicable tool for the estimation of %BF in respect of body composition for clinical practice, screening, and public health research. It is non-invasive and has high accuracy. Further, it allows the identification of normal weight obese children and adolescents.

scholarly journals A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations

2020 ◽  
Vol 17 (21) ◽  
pp. 7940
Author(s):  
Rafael Molina-Luque ◽  
Aina M Yañez ◽  
Miquel Bennasar-Veny ◽  
Manuel Romero-Saldaña ◽  
Guillermo Molina-Recio ◽  
...  
Keyword(s):  
Body Fat ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Population Characteristics ◽  
Concordance Correlation ◽  
Cross Sectional ◽  
Body Adiposity ◽  
Percentage Of Body Fat ◽  
Bland Altman Method ◽  
Cardiovascular Pathologies

There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics.

scholarly journals Measurement of Percentage of Body Fat in 411 Children and Adolescents: A Comparison of Dual-Energy X-Ray Absorptiometry With a Four-Compartment Model

PEDIATRICS ◽  
2004 ◽  
Vol 113 (5) ◽  
pp. 1285-1290 ◽  
Author(s):  
A. B. Sopher ◽  
J. C. Thornton ◽  
J. Wang ◽  
R. N. Pierson ◽  
S. B. Heymsfield ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Compartment Model ◽  
Dual Energy ◽  
X Ray ◽  
Percentage Of Body Fat

scholarly journals Body fatness or anthropometry for assessment of unhealthy weight status? Comparison between methods in South African children and adolescents

2012 ◽  
Vol 16 (11) ◽  
pp. 2005-2013 ◽  
Author(s):  
Eva Craig ◽  
John Reilly ◽  
Ruth Bland
Keyword(s):  
Body Composition ◽  
Children And Adolescents ◽  
Body Fat ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Body Fatness ◽  
Unhealthy Weight

AbstractObjectiveA variety of methods are available for defining undernutrition (thinness/underweight/under-fat) and overnutrition (overweight/obesity/over-fat). The extent to which these definitions agree is unclear. The present cross-sectional study aimed to assess agreement between widely used methods of assessing nutritional status in children and adolescents, and to examine the benefit of body composition estimates.DesignThe main objective of the cross-sectional study was to assess underweight, overweight and obesity using four methods: (i) BMI-for-age using WHO (2007) reference data; (ii) BMI-for-age using Cole et al. and International Obesity Taskforce cut-offs; (iii) weight-for-age using the National Centre for Health Statistics/WHO growth reference 1977; and (iv) body fat percentage estimated by bio-impedance (body fat reference curves for children of McCarthy et al., 2006). Comparisons were made between methods using weighted kappa analyses.SettingRural South Africa.SubjectsIndividuals (n 1519) in three age groups (school grade 1, mean age 7 years; grade 5, mean age 11 years; grade 9, mean age 15 years).ResultsIn boys, prevalence of unhealthy weight status (both under- and overnutrition) was much higher at all ages with body fatness measures than with simple anthropometric proxies for body fatness; agreement between fatness and weight-based measures was fair or slight using Landis and Koch categories. In girls, prevalence of unhealthy weight status was also higher with body fatness than with proxies, although agreement between measures ranged from fair to substantial.ConclusionsMethods for defining under- and overnutrition should not be considered equivalent. Weight-based measures provide highly conservative estimates of unhealthy weight status, possibly more conservative in boys. Simple body composition measures may be more informative than anthropometry for nutritional surveillance of children and adolescents.

Changes in physical fitness of a home-based physical exercise program in childhood obesity: A quasi-experimental uncontrolled study

2017 ◽  
Vol 21 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Juan Francisco Lisón ◽  
Alejandro Bruñó-Soler ◽  
Isabel Torró ◽  
Eva Segura-Ortí ◽  
Julio Alvarez-Pitti
Keyword(s):  
Childhood Obesity ◽  
Physical Exercise ◽  
Physical Fitness ◽  
Children And Adolescents ◽  
Body Fat ◽  
Fat Free Mass ◽  
Z Score ◽  
Obese Children ◽  
Percentage Of Body Fat ◽  
Home Based

Few studies have evaluated the changes in physical fitness (PF) of obese children and adolescents of a physical activity program for the treatment of obesity, and even fewer have explored the modality of home-based physical exercise. The objective of this study is to evaluate the changes in PF and body composition (BC) of a home-based physical exercise for treating childhood obesity. Thirty-three overweight/obese children and adolescents participated for six months in a home-based intervention that combined aerobics and muscular strength exercises. The results were compared, before and after the intervention, for the different PF components (VO2max, abdominal muscle resistance strength, and lower body explosive strength) and BC (body mass index Z-score (BMI-Z), percentage of body fat, and fat-free mass) variables. A significant reduction was observed in the percentage of body fat (4.7%) and the BMI- Z score (.23), and there was an increase in the fat-free mass of 2.9 kg ( p < .001). In addition, the VO2max showed a significant increase ( p < .05). The results of the different strength tests also showed significant improvements ( p < .05). Our findings support the effectiveness of this program improving not only BC but also PF. However, our results should be interpreted with caution due to lack of control group.

scholarly journals Skrinning Dan Uji Diagnostik Obesitas Dengan Bioelectrical Impedance Analysis Dan Meteran Inci Inelastis

2020 ◽  
Vol 3 (2) ◽  
pp. 138
Author(s):  
Roselya Mutiara Pratiwi ◽  
Ni Luh Putu Arum Puspitaning Ati
Keyword(s):  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Sampling Method ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Screening Tools ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Percentage Of Body Fat ◽  
Cross Sectional Design

Backgound: Measurement of body fat percentage as estimates of obesity, which can be done with the method of measuring the bioelectrical impedance analysis (BIA) and the meter inches inelastic. Both of these methods can be used as a simple, safe and non-nvasive. Objective: To analyze the comparative measurement of obesity with the BIA and the meter inches inelastic. Method: The study was observational analytic with cross sectional design. Sample were taken and selected through simple ramdomize sampling method. Data obtained directly by measuring samples that met the inclusion criteria. Obesity screening data obtained by measuring the percentage of body fat using BIA method and meter inches inelastic. Results: Based on the calculationn, as many as 65 samples taken by proportional random sampling in each specialization the student of the Faculty of Public Health 2014 Airlangga University. The percentage of female students with obesity using the BIA was 29,2% and inelastic inch meter is 21,5%. The statistical test showed t test was 0,897 ( sig>0,05). Conclusion: There are differences in the measurement result mean obesity BIA metered inches inelastic screening tools and have a good validity in measuring obesity. Suggestion : For further research it is recommended to be more accurate in measuring using an inelastic inch meter, while when using BIA  it  should use altimeter measurement because it is needed for data input. 

scholarly journals Contrasting longitudinal and cross-sectional relationships between insulin resistance and percentage of body fat, fitness, and physical activity in children—the LOOK study

2009 ◽  
Vol 10 (8) ◽  
pp. 500-507 ◽  
Author(s):  
Richard D Telford ◽  
Ross B Cunningham ◽  
Jonathan E Shaw ◽  
David W Dunstan ◽  
Antony RA Lafferty ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Fat ◽  
Cross Sectional ◽  
Percentage Of Body Fat ◽  
The Look

scholarly journals Relative Fat Mass as an estimator of whole-body fat percentage among children and adolescents: A cross-sectional study using NHANES

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Orison O. Woolcott ◽  
Richard N. Bergman
Keyword(s):  
Waist Circumference ◽  
Children And Adolescents ◽  
Body Fat ◽  
Fat Mass ◽  
Misclassification Error ◽  
Whole Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Overweight Or Obesity

Abstract We evaluated the ability of the Relative Fat Mass (RFM) to estimate whole-body fat percentage among children and adolescents who participated in the National Health and Nutrition Examination Survey from 1999 through 2006 (n = 10,390). The RFM equation for adults (64 − (20 × height/waist circumference) + (12 × sex)) may be used for adolescents 15 to 19 years of age. For children and adolescents 8 to 14 years of age, we suggest a modified RFM equation, named as the RFMp (RFM pediatric): 74 − (22 × height/waist circumference) + (5 × sex). In both equations, sex equals 0 for boys and 1 for girls. RFMp was more accurate than BMI to estimate whole-body fat percentage (measured by dual energy X-ray absorptiometry, DXA) among girls (percentage of estimates that were <20% of measured body fat percentage, 88.2% vs. 85.7%; P = 0.027) and boys 8 to 14 years of age (83.4% vs. 71.0%; P < 0.001). RFM was more accurate than BMI among boys 15 to 19 years of age (82.3% vs. 73.9%; P < 0.001) but slightly less accurate among girls (89.0% vs. 92.6%; P = 0.002). Compared with BMI-for-age percentiles, RFMp had lower misclassification error of overweight or obesity (defined as a DXA-measured body fat percentage at the 85th percentile or higher) among boys 8 to 14 years of age (6.5% vs. 7.9%; P = 0.018) but not girls (RFMp: 8.2%; BMI-for-age: 7.9%; P = 0.681). Misclassification error of overweight or obesity was similar for RFM and BMI-for-age percentiles among girls (RFM: 8.0%; BMI-for-age: 6.6%; P = 0.076) and boys 15 to 19 years of age (RFM: 6.9%; BMI-for-age: 7.8%; P = 0.11). RFMp for children and adolescents 8 to 14 years of age and RFM for adolescents 15 to 19 years of age were useful to estimate whole-body fat percentage and diagnose body fat-defined overweight or obesity.

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