Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness

Objectives: The three aims of this study were to establish equations for ideal body composition related fitness to be used by adults willing to gain optimum body composition related fitness; to predict the possible symmetrical major muscle circumference, and to compute the ideal body fat percentage...

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Main Authors: Hashem Kilani, Asem Abu-Eisheh
Format: Article
Language:English
Published: Sultan Qaboos University 2010-04-01
Series:Sultan Qaboos University Medical Journal
Subjects:
Online Access:https://journals.squ.edu.om/index.php/squmj/article/view/1454
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author Hashem Kilani
Asem Abu-Eisheh
author_facet Hashem Kilani
Asem Abu-Eisheh
author_sort Hashem Kilani
collection DOAJ
description Objectives: The three aims of this study were to establish equations for ideal body composition related fitness to be used by adults willing to gain optimum body composition related fitness; to predict the possible symmetrical major muscle circumference, and to compute the ideal body fat percentage (BFP) with ideal body weight (IBW) based on the body mass index (BMI). Methods: Twenty-four athletes were intentionally selected, with heights of 166–190 cm and aged 20–42 years, according to a judging committee that used modified International Fitness Federation criteria for the Mr. Fitness competition “super body category”. Common anthropometric and body composition  measurements were taken for the following independent variables: body height, upper limb length, lower limb length, thigh length, arm length, shoulder width, forearm length, shank length, and wrist girth; and for the following dependent variables: circumferences of  shoulder, thigh, waist, hip, chest, biceps, forearm, shank, and neck. Skin fold thickness was measured at three sites by a Harpenden caliper to calculate BFP. Results: The findings indicate that there was a predictive correlation between major independent variables and body circumferences. The mean range used to find out the ideal BFP percentage which was 5.6–6.7 %. The BMI equation used to find the IBW was H2 × 23.77 ± 2 SE. Stepwise multiple regressions were also used to derive predictive equations. The most predictive independent variables were wrist girth and height. Conclusion: It is suggested that the above equations, the ideal BFP percentage and the IBW be used as criteria in training sessions to achieve ideal body composition related fitness.
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spelling doaj.art-63caaaa2caa94f30877d3d64ab5bf16a2022-12-22T03:08:42ZengSultan Qaboos UniversitySultan Qaboos University Medical Journal2075-051X2075-05282010-04-0110174791382Optimum Anthropometric Criteria for Ideal Body Composition Related FitnessHashem Kilani0Asem Abu-Eisheh1Department of Physical Education, College of Education, Sultan Qaboos University, Muscat, OmanFitness First, Amman, JordanObjectives: The three aims of this study were to establish equations for ideal body composition related fitness to be used by adults willing to gain optimum body composition related fitness; to predict the possible symmetrical major muscle circumference, and to compute the ideal body fat percentage (BFP) with ideal body weight (IBW) based on the body mass index (BMI). Methods: Twenty-four athletes were intentionally selected, with heights of 166–190 cm and aged 20–42 years, according to a judging committee that used modified International Fitness Federation criteria for the Mr. Fitness competition “super body category”. Common anthropometric and body composition  measurements were taken for the following independent variables: body height, upper limb length, lower limb length, thigh length, arm length, shoulder width, forearm length, shank length, and wrist girth; and for the following dependent variables: circumferences of  shoulder, thigh, waist, hip, chest, biceps, forearm, shank, and neck. Skin fold thickness was measured at three sites by a Harpenden caliper to calculate BFP. Results: The findings indicate that there was a predictive correlation between major independent variables and body circumferences. The mean range used to find out the ideal BFP percentage which was 5.6–6.7 %. The BMI equation used to find the IBW was H2 × 23.77 ± 2 SE. Stepwise multiple regressions were also used to derive predictive equations. The most predictive independent variables were wrist girth and height. Conclusion: It is suggested that the above equations, the ideal BFP percentage and the IBW be used as criteria in training sessions to achieve ideal body composition related fitness.https://journals.squ.edu.om/index.php/squmj/article/view/1454body compositionanthropometricresistance training
spellingShingle Hashem Kilani
Asem Abu-Eisheh
Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
Sultan Qaboos University Medical Journal
body composition
anthropometric
resistance training
title Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
title_full Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
title_fullStr Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
title_full_unstemmed Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
title_short Optimum Anthropometric Criteria for Ideal Body Composition Related Fitness
title_sort optimum anthropometric criteria for ideal body composition related fitness
topic body composition
anthropometric
resistance training
url https://journals.squ.edu.om/index.php/squmj/article/view/1454
work_keys_str_mv AT hashemkilani optimumanthropometriccriteriaforidealbodycompositionrelatedfitness
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