Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara

Akpojaro Ogheneochuko Owens; Agbogidi Bess Rioborue

doi:doi:10.11648/j.ajtas.20221101.13

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Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara

Akpojaro Ogheneochuko Owens, Agbogidi Bess Rioborue

Published in American Journal of Theoretical and Applied Statistics (Volume 11, Issue 1)

Received: 2 December 2021 Accepted: 7 January 2022 Published: 25 January 2022

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Abstract

This study aimed to examine the health status of students as a function of the body mass index (BMI) using control chart. The utility of body mass index has proven very useful in helping managers to estimate the weight normality of individuals as a measure of healthy living among them. This study evaluated the reported BMI of students and problems associated with abnormal BMI among students. Stratified sampling was adopted since there are three faculties or schools in the polytechnic with each school having several departments, therefore, A simple random sample of 150 students was selected from the three schools of study in the Delta State Polytechnic, Otefe-Oghara and their BMI were examined through data on weight and height. The result of the study revealed that the students BMI are statistically in control for X-chat and out of control for MR-chat in engineering, both X-chart and MR-chart are out of control for Applied sciences but for school of business, both chats are in statistical control. The fact that the test for randomness proved to be false; it implies that the sample result is evident enough to infer on the general population that their current measures of body mass index are not random. Consequent to the study findings, it was concluded that quality control tools: (control chart for individual unit) is a veritable too for student BMI diagnostics. The study also concludes that most students’ BMI was classified according to the World Health Organization (WHO) standard to be obese, which indicates a huge health risk of various obese-related diseases like diabetes, cardiac issues and even stroke especially for school of engineering and applied sciences.

Published in	American Journal of Theoretical and Applied Statistics (Volume 11, Issue 1)
DOI	10.11648/j.ajtas.20221101.13
Page(s)	19-26
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Health Status, Control Chart, Runs Test, Risk Assessment, Body Mass Index (BMI)

References

[1]	Baumgartner, R. N., Heymsfield, S. B. & Roche, A. F. (2017): Human body composition and the epidemiology of chronic disease. Obesity Research, 3 (1): 73–95.
[2]	Chukla, O. (2019). Impact of work-relatedfactors, lifestyle, and work ability on sickness absence among Dutch construction workers. Environ. Health, 35, 325–333.
[3]	Eherevie, M. (2019). Application of statistical process control in monitoring blood sugar level. Independent Status Publishing Series, Ekewhan, 2 (9): 23-28.
[4]	medicalnewstoday.com. What is obesity, and what causes it? Available at https://www.medicalnewstoday.com/articles/323551.
[5]	Ozilgen, S (2011). Statistical quality control charts: new tools for studying the body mass index of populations from the young to the elderly. The Journal of Nutrition, Health & Aging 15 (5): 333-339.
[6]	Popkin, B. M., Adair, L. S. and Ng. S. W. (2012): Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 70 (1): 3–21.
[7]	Robert, R. E. (2020). Prospective association between obesity and depression: evidence from the Alameda County Study.” International journal of obesity 27. 4: 514-521.
[8]	Roswati, N., Norimah, S., Fatin, F. N. &Nurul, F. A. (2018). Factors Influence on Body Mass Index (BMI) among Overweight and Obese School Children. Journal of ASIAN Behavioural Studies (jABs), 3 (11).
[9]	The US National Heart, Lung and Blood Institute (2019): Assessing Your Weight and Health Risk. Retrieved from the US-NHLBI portal on 19/6/2020 https://www.nhlbi.nih.gov/health/educational/lose_wt/risk.htm.
[10]	Webster, U. (2019): Statistical process control (SPC) chart techniques to support data quality and information proficiency: the under-pinning structure of high, Quality Health Care. Journal of Advanced Sciences, 23 (2).
[11]	Wikipedia (2018). Body mass index (BMI). Available at https://en.wikipedia.org/wiki/Body_mass_index.
[12]	World Health Organization (2018): Obesity: preventing and managing the global epidemic. (WHO Obesity Technical Report Series No. 953.) World Health Organization, Geneva.
[13]	World Health Organization (2019). Growth reference 5-19 years - BMI-for-age (5-19 years). Available at https://www.who.int/to-reference-data-for-5to19-years/indicators/bmi-for-age.
[14]	World Health Organization (WHO, 2012): 2010 Fact Sheet on Obesity. Retrieved on 19/6/2020 from http://www.who.int/topics/obesity/en/.
[15]	Yancy, P. (2018): Health Benefits of Having a NO RISK BMI. International Journal of Behavioral Nutrition and Physical Activity, 13 (4).

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APA Style

Akpojaro Ogheneochuko Owens, Agbogidi Bess Rioborue. (2022). Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. American Journal of Theoretical and Applied Statistics, 11(1), 19-26. https://doi.org/10.11648/j.ajtas.20221101.13

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ACS Style

Akpojaro Ogheneochuko Owens; Agbogidi Bess Rioborue. Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. Am. J. Theor. Appl. Stat. 2022, 11(1), 19-26. doi: 10.11648/j.ajtas.20221101.13

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Akpojaro Ogheneochuko Owens, Agbogidi Bess Rioborue. Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. Am J Theor Appl Stat. 2022;11(1):19-26. doi: 10.11648/j.ajtas.20221101.13

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@article{10.11648/j.ajtas.20221101.13,
  author = {Akpojaro Ogheneochuko Owens and Agbogidi Bess Rioborue},
  title = {Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {1},
  pages = {19-26},
  doi = {10.11648/j.ajtas.20221101.13},
  url = {https://doi.org/10.11648/j.ajtas.20221101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221101.13},
  abstract = {This study aimed to examine the health status of students as a function of the body mass index (BMI) using control chart. The utility of body mass index has proven very useful in helping managers to estimate the weight normality of individuals as a measure of healthy living among them. This study evaluated the reported BMI of students and problems associated with abnormal BMI among students. Stratified sampling was adopted since there are three faculties or schools in the polytechnic with each school having several departments, therefore, A simple random sample of 150 students was selected from the three schools of study in the Delta State Polytechnic, Otefe-Oghara and their BMI were examined through data on weight and height. The result of the study revealed that the students BMI are statistically in control for X-chat and out of control for MR-chat in engineering, both X-chart and MR-chart are out of control for Applied sciences but for school of business, both chats are in statistical control. The fact that the test for randomness proved to be false; it implies that the sample result is evident enough to infer on the general population that their current measures of body mass index are not random. Consequent to the study findings, it was concluded that quality control tools: (control chart for individual unit) is a veritable too for student BMI diagnostics. The study also concludes that most students’ BMI was classified according to the World Health Organization (WHO) standard to be obese, which indicates a huge health risk of various obese-related diseases like diabetes, cardiac issues and even stroke especially for school of engineering and applied sciences.},
 year = {2022}
}

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TY  - JOUR
T1  - Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara
AU  - Akpojaro Ogheneochuko Owens
AU  - Agbogidi Bess Rioborue
Y1  - 2022/01/25
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221101.13
DO  - 10.11648/j.ajtas.20221101.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221101.13
AB  - This study aimed to examine the health status of students as a function of the body mass index (BMI) using control chart. The utility of body mass index has proven very useful in helping managers to estimate the weight normality of individuals as a measure of healthy living among them. This study evaluated the reported BMI of students and problems associated with abnormal BMI among students. Stratified sampling was adopted since there are three faculties or schools in the polytechnic with each school having several departments, therefore, A simple random sample of 150 students was selected from the three schools of study in the Delta State Polytechnic, Otefe-Oghara and their BMI were examined through data on weight and height. The result of the study revealed that the students BMI are statistically in control for X-chat and out of control for MR-chat in engineering, both X-chart and MR-chart are out of control for Applied sciences but for school of business, both chats are in statistical control. The fact that the test for randomness proved to be false; it implies that the sample result is evident enough to infer on the general population that their current measures of body mass index are not random. Consequent to the study findings, it was concluded that quality control tools: (control chart for individual unit) is a veritable too for student BMI diagnostics. The study also concludes that most students’ BMI was classified according to the World Health Organization (WHO) standard to be obese, which indicates a huge health risk of various obese-related diseases like diabetes, cardiac issues and even stroke especially for school of engineering and applied sciences.
VL  - 11
IS  - 1
ER  -

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Author Information

Akpojaro Ogheneochuko Owens

Mathematics Unit, School of Basic Science, Nigeria Maritime University, Okerenkoko, Nigeria
Agbogidi Bess Rioborue

Mathematics Unit, School of Basic Science, Nigeria Maritime University, Okerenkoko, Nigeria

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APA Style

Akpojaro Ogheneochuko Owens, Agbogidi Bess Rioborue. (2022). Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. American Journal of Theoretical and Applied Statistics, 11(1), 19-26. https://doi.org/10.11648/j.ajtas.20221101.13

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ACS Style

Akpojaro Ogheneochuko Owens; Agbogidi Bess Rioborue. Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. Am. J. Theor. Appl. Stat. 2022, 11(1), 19-26. doi: 10.11648/j.ajtas.20221101.13

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AMA Style

Akpojaro Ogheneochuko Owens, Agbogidi Bess Rioborue. Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara. Am J Theor Appl Stat. 2022;11(1):19-26. doi: 10.11648/j.ajtas.20221101.13

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@article{10.11648/j.ajtas.20221101.13,
  author = {Akpojaro Ogheneochuko Owens and Agbogidi Bess Rioborue},
  title = {Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {1},
  pages = {19-26},
  doi = {10.11648/j.ajtas.20221101.13},
  url = {https://doi.org/10.11648/j.ajtas.20221101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221101.13},
  abstract = {This study aimed to examine the health status of students as a function of the body mass index (BMI) using control chart. The utility of body mass index has proven very useful in helping managers to estimate the weight normality of individuals as a measure of healthy living among them. This study evaluated the reported BMI of students and problems associated with abnormal BMI among students. Stratified sampling was adopted since there are three faculties or schools in the polytechnic with each school having several departments, therefore, A simple random sample of 150 students was selected from the three schools of study in the Delta State Polytechnic, Otefe-Oghara and their BMI were examined through data on weight and height. The result of the study revealed that the students BMI are statistically in control for X-chat and out of control for MR-chat in engineering, both X-chart and MR-chart are out of control for Applied sciences but for school of business, both chats are in statistical control. The fact that the test for randomness proved to be false; it implies that the sample result is evident enough to infer on the general population that their current measures of body mass index are not random. Consequent to the study findings, it was concluded that quality control tools: (control chart for individual unit) is a veritable too for student BMI diagnostics. The study also concludes that most students’ BMI was classified according to the World Health Organization (WHO) standard to be obese, which indicates a huge health risk of various obese-related diseases like diabetes, cardiac issues and even stroke especially for school of engineering and applied sciences.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Control Chart and Its Applicationin Modelling Body Mass Index (BMI) of Students in Delta State Polytechnic, Oghara
AU  - Akpojaro Ogheneochuko Owens
AU  - Agbogidi Bess Rioborue
Y1  - 2022/01/25
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221101.13
DO  - 10.11648/j.ajtas.20221101.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221101.13
AB  - This study aimed to examine the health status of students as a function of the body mass index (BMI) using control chart. The utility of body mass index has proven very useful in helping managers to estimate the weight normality of individuals as a measure of healthy living among them. This study evaluated the reported BMI of students and problems associated with abnormal BMI among students. Stratified sampling was adopted since there are three faculties or schools in the polytechnic with each school having several departments, therefore, A simple random sample of 150 students was selected from the three schools of study in the Delta State Polytechnic, Otefe-Oghara and their BMI were examined through data on weight and height. The result of the study revealed that the students BMI are statistically in control for X-chat and out of control for MR-chat in engineering, both X-chart and MR-chart are out of control for Applied sciences but for school of business, both chats are in statistical control. The fact that the test for randomness proved to be false; it implies that the sample result is evident enough to infer on the general population that their current measures of body mass index are not random. Consequent to the study findings, it was concluded that quality control tools: (control chart for individual unit) is a veritable too for student BMI diagnostics. The study also concludes that most students’ BMI was classified according to the World Health Organization (WHO) standard to be obese, which indicates a huge health risk of various obese-related diseases like diabetes, cardiac issues and even stroke especially for school of engineering and applied sciences.
VL  - 11
IS  - 1
ER  -

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