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Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population

Objective: To determine an association between body composition analysis and physical fitness in the Saudi population and derive gender specific physical fitness equations. Methods: A total of 530 healthy Saudi adults aged 15-72 years (mean 37.16±14.12 years) were enrolled in this study. Body compos...

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Autores principales: Iqbal, Muhammad, Al-Regaiey, Khalid A, Ahmad, Shafiq, Al Dokhi, Laila, Al Naami, Mohammad, Habib, Syed Shahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publicaitons 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121701/
https://www.ncbi.nlm.nih.gov/pubmed/25097520
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author Iqbal, Muhammad
Al-Regaiey, Khalid A
Ahmad, Shafiq
Al Dokhi, Laila
Al Naami, Mohammad
Habib, Syed Shahid
author_facet Iqbal, Muhammad
Al-Regaiey, Khalid A
Ahmad, Shafiq
Al Dokhi, Laila
Al Naami, Mohammad
Habib, Syed Shahid
author_sort Iqbal, Muhammad
collection PubMed
description Objective: To determine an association between body composition analysis and physical fitness in the Saudi population and derive gender specific physical fitness equations. Methods: A total of 530 healthy Saudi adults aged 15-72 years (mean 37.16±14.12 years) were enrolled in this study. Body composition analysis was assessed by bioelectrical impedance analysis (BIA), with a commercially available body analyzer according to standard protocols. Results: Different body composition parameters, such as age, height, BSA (body surface area), obesity degree, body mass index (BMI), body fat mass (BFM) and percent body fat (% BF) contents were significantly different in males and females except weight which was non-significant (p=0.649). There was significant positive or negative correlation among different body composition parameters except weight with age in males and weight with age, height and BSA in females. In males, all the body composition characteristics contributed to the fitness score except BMI and BFM, while in females, the most significant effect was contributed by weight and BFM. Female body composition characteristics were strongly related to fitness score compared to males (R(2) = 93.8% vs R(2) = 78.5%). Conclusions: Different body composition parameters like BFM and %BF played an important role in determining physical fitness of healthy male individuals instead of BMI, weight and BSA, while in females weight was the best predictor of physical fitness.
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spelling pubmed-41217012014-08-05 Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population Iqbal, Muhammad Al-Regaiey, Khalid A Ahmad, Shafiq Al Dokhi, Laila Al Naami, Mohammad Habib, Syed Shahid Pak J Med Sci Original Article Objective: To determine an association between body composition analysis and physical fitness in the Saudi population and derive gender specific physical fitness equations. Methods: A total of 530 healthy Saudi adults aged 15-72 years (mean 37.16±14.12 years) were enrolled in this study. Body composition analysis was assessed by bioelectrical impedance analysis (BIA), with a commercially available body analyzer according to standard protocols. Results: Different body composition parameters, such as age, height, BSA (body surface area), obesity degree, body mass index (BMI), body fat mass (BFM) and percent body fat (% BF) contents were significantly different in males and females except weight which was non-significant (p=0.649). There was significant positive or negative correlation among different body composition parameters except weight with age in males and weight with age, height and BSA in females. In males, all the body composition characteristics contributed to the fitness score except BMI and BFM, while in females, the most significant effect was contributed by weight and BFM. Female body composition characteristics were strongly related to fitness score compared to males (R(2) = 93.8% vs R(2) = 78.5%). Conclusions: Different body composition parameters like BFM and %BF played an important role in determining physical fitness of healthy male individuals instead of BMI, weight and BSA, while in females weight was the best predictor of physical fitness. Professional Medical Publicaitons 2014 /pmc/articles/PMC4121701/ /pubmed/25097520 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Iqbal, Muhammad
Al-Regaiey, Khalid A
Ahmad, Shafiq
Al Dokhi, Laila
Al Naami, Mohammad
Habib, Syed Shahid
Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title_full Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title_fullStr Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title_full_unstemmed Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title_short Body composition analysis to determine gender specific physical fitness equations in a cohort of Saudi population
title_sort body composition analysis to determine gender specific physical fitness equations in a cohort of saudi population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121701/
https://www.ncbi.nlm.nih.gov/pubmed/25097520
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