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

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 measu...

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Main Authors: Rebekka Mumm, Anna Reimann, Christiane Scheffler
Format: Article
Language:English
Published: Universitätsverlag Potsdam 2021-06-01
Series:Human Biology and Public Health
Subjects:
Online Access:https://www.human-biology-and-public-health.org/index.php/hbph/article/view/3
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author Rebekka Mumm
Anna Reimann
Christiane Scheffler
author_facet Rebekka Mumm
Anna Reimann
Christiane Scheffler
author_sort Rebekka Mumm
collection DOAJ
description 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.
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spelling doaj.art-ba454fba491c4579a65af7dd7628bd9e2024-04-02T07:04:15ZengUniversitätsverlag PotsdamHuman Biology and Public Health2748-99572021-06-01110.52905/hbph.v1.3Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI Rebekka Mumm0https://orcid.org/0000-0001-9081-0899Anna Reimann1Christiane Scheffler2https://orcid.org/0000-0003-1954-7578University of Potsdam, Institute of Biochemistry and Biology, Human BiologyUniversity of Potsdam, Institute of Biochemistry and Biology, Human BiologyUniversity of Potsdam, Institute of Biochemistry and Biology, Human Biology 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. https://www.human-biology-and-public-health.org/index.php/hbph/article/view/3body fat estimatorbody compositionskeletal robusticityhidden obesitynormal weigh obese
spellingShingle Rebekka Mumm
Anna Reimann
Christiane Scheffler
Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
Human Biology and Public Health
body fat estimator
body composition
skeletal robusticity
hidden obesity
normal weigh obese
title Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
title_full Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
title_fullStr Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
title_full_unstemmed Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
title_short Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI
title_sort estimation of percentage of body fat in field studies a method based on relative elbow breadth frame index and bmi
topic body fat estimator
body composition
skeletal robusticity
hidden obesity
normal weigh obese
url https://www.human-biology-and-public-health.org/index.php/hbph/article/view/3
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AT christianescheffler estimationofpercentageofbodyfatinfieldstudiesamethodbasedonrelativeelbowbreadthframeindexandbmi