Assessing the Impact of Cafeteria Food Related Problems on the Academic Achievement of Students in Debre Berhan University
American Journal of Theoretical and Applied Statistics
Volume 9, Issue 2, March 2020, Pages: 21-26
Received: Oct. 9, 2019;
Accepted: Apr. 15, 2020;
Published: Apr. 28, 2020
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Bezarede Mekonnen, Department of Statistics, College of Natural and Computational Science, Debre Berhan University, Debre Berhan, Ethiopia
Tadesse Ayele, Department of Mathematics, College of Natural and Computational Science, Debre Berhan University, Debre Berhan, Ethiopia
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Education is a process through which mankind transmit experience, new findings and value accumulate over time with the aim of individuals and societies, to make all around participation in the development process. Sufficient healthy intake of food is essential to brain function. Moreover, maximizing brain function is a prime factor in seizing appropriate cognitive capability for example, ability to focus, comprehension, evaluation, and application in learning. Therefore, food is advisable take account for quality and stuffiness of food to protect our students from different infection and declining on their academic performance. The study was trying to assess the impact of Debre Berhan university cafeteria food related problems on the academic achievement of students. The general objective of the study is to analyze statistically the impact of food related problems on academic achievement of students. The study used well organized questionnaire and the source of data is primary data which will done by direct contact of respondents and secondary data which will be obtained from the registrar of Debre Berhan university. The collected data is analyzed by using descriptive and inferential statistics. The sample size determination is made by using statistical formula. Descriptive statistics and multiple linear regression analysis is applied to examine the relationship between the dependent variable academic achievement and food related problem independent variables. Multiple linear regression model is a mathematical equation that provides prediction of the value of dependent variable based on known value of independent variables. The analysis of multiple linear regression revealed that the academic achievement of students was mostly affected by adequacy of food supply, quality of cafeteria sanitation, health related problem, food sanitation and personal hygiene of cafeteria workers, time of cafeteria and those factors affect the academic achievement of students.
Education, Food Related Problem, Academic Achievement and Multiple Linear Regression
To cite this article
Assessing the Impact of Cafeteria Food Related Problems on the Academic Achievement of Students in Debre Berhan University, American Journal of Theoretical and Applied Statistics.
Vol. 9, No. 2,
2020, pp. 21-26.
Copyright © 2020 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.
WFO (2018). International world food Organization; food problem that exist in developing countries.
Tilahun. Woldu. (2011). Status meaning that maintain life and physical, cognitive and social development, Research of Dilla University.
Slack, (1999). According to an acceptable definition food security is to access all people times to enough food for living with an active healthy life.
FAO, WHO, WFP. (2018), The state of food security and Nutrition
Frongillo, E. A., Joni, D. F., & Jones, S. J. (2006). Food stamp program participation for better academic learning among school children. The Journal of Nutrition, 136, 1077-1080. Retrieved from http://jn.nutrition.org.
Bloom, A. (2009, May 22). Revealed: Fast food diet can result in slow-brain children. Times Educational Supplement, pp. N&O8.
Kretchmer, N., Beard, J. L., Carlson, S. (2016). The role of nutrition in the development of normal cognition. The American Journal of Clinical Nutrition (63), 997S-1001S. Retrieved from http://www.ajcn.org.
Taras, H. & Potts-Datema, W. (2005). Obesity and student performance. The Journal of School Health, 75 (8), 291-295.
Dauncey, M. J. (2009). New insights in to nutrition and cognitive neuroscience. Proceedings of the Nutrition Society (68), 408-415. doi: 10.1017/S0029665109990188.
Gomez-Pinilla, F. (2008). Brain foods: The effects of nutrients on brain function. National Review of Neuroscience, 9 (7), 568-578. doi: 10.1038/nrn2421.
Jager, C. A. & Kovatcheva, A. (2010). Summary and discussion: Methodologies to assess long-term effects of nutrition on brain function. Nutrition Reviews, 68 (suppl. 1), S53-S58. doi: 10.1111/j.1753-4887.2010.00332.
Smith, A. P. (2010). An investigation of the effects of breakfast cereals on alertness, cognitive function, and other aspects of the reported well-being of children. Nutritional Neuroscience, 5 (13), 230-236. doi: 10.1179/147683010X12611460764642.
David, J. L. (2010). What research says about school meals and learning. Educational Leadership, 88-89. Retrieved from http://www.ascd.org.
Hansen. J. (2000), academic achievements of students depends on socio economic factors.
Cochran, W. G. (1977). Sampling Techniques, 3rd, Ed, John Wiley& Sons, Inc., New York.