Volume 2, Issue 4, August 2017, Page: 57-60
Simulating the Ideal Body Mass in Adult Human Samples
Md. Abdul Hakim, Discipline of Mathematics and Science, Zia Hasan International School, Karatia, Tangail, Bangladesh
Received: Oct. 8, 2017;       Accepted: Oct. 19, 2017;       Published: Nov. 15, 2017
DOI: 10.11648/j.ijsspe.20170204.12      View  1754      Downloads  80
Abstract
Estimating ideal body mass in adult human samples in a specific geographic level is vital for effective health promotion programmes in order to seeking better health services. Lack of nutritional knowledge and information gap on various health and nutritional tools affect the ability of national and international agencies to manage serious health related risks in the community. A solution to this challenge would be to develop a method that simulates reliable statistics on assessing the ideal body mass in adult human samples. This paper provides a significant appraisal of the biophysical methodologies for estimating ideal body mass to mitigate health problems of samples at different sites. There is no procedure in this ground that can be used to assume the ideal body mass in human samples in health physics and nutritional mathematics. The physical educators are often in confusion to direct the advice of taking proper exercise which would be benificial for the learners’ health. The aim of this study is making a dot over these ongoing hesitations simulating a biophysical modeling in nutrition counseling to sustain long term sound health. The study findings is the mathematical equation (4) that can be a superb modeling as an instructive tool in physical education.
Keywords
Physical Education, Ideal Body Mass, Nutritional Mathematics, Malnutrition, Biostatistics and Nutritional Simulation, Human Samples
To cite this article
Md. Abdul Hakim, Simulating the Ideal Body Mass in Adult Human Samples, International Journal of Sports Science and Physical Education. Vol. 2, No. 4, 2017, pp. 57-60. doi: 10.11648/j.ijsspe.20170204.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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