The measurement of total dietary energy is in great triumph on the helm of designing an apt dieting in normal and therapeutic diet. The prevailing procedures in this arena are relatively time consuming, laboratory tests induced and often the misleading data contributors while planning a balanced dieting in nutrition counseling. The dietician is sometimes at bay in the route ahead of perfect dieting to hold up nutritional soundness of the sample at a population in a community. The aim of this current study is making a dot over these ongoing perils exploring a mathematical modeling used in prescribing a confounding free diet. The study can divulge an open secret in measuring total dietary energy to curb the possible health horrors in worldwide nutritional epidemiology. The study finding is the determinant of total dietary energy (DTDE) [equation (16)] can be a splendid biophysical modeling as a dieting tool in human nutrition.
Published in | European Journal of Biophysics (Volume 5, Issue 3) |
DOI | 10.11648/j.ejb.20170503.12 |
Page(s) | 57-61 |
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), 2017. Published by Science Publishing Group |
Biophysical Modeling, Dietary Energy, Co-efficient of Total Dietary Energy (CTDE), Nutritional Physics, Biochemical Modeling, Health Pedagogy
[1] | IFAD/FAO/WFP. The state of food insecurity in the world 2011, In Rome, Italy: FAO. |
[2] | UN inter-agency group for child mortality estimation. Levels and trends in child mortality: Report 2011, New York: UNICEF. |
[3] | Megabiaw B and Rahman A. Prevalence and determinants of chronic malnutrition among under-5 children in Ethiopia. Int J Child Health Nut 2013; 2 (3): 230-236. |
[4] | Hakim MA and Kamruzzaman M. Nutritional status of preschoolers in four selected fisher communities. Am J Life Sci 2015; 3 (4):332-336. |
[5] | Rahman A and Hakim MA. Malnutrition prevalence and health practices of homeless children: a cross-sectional study in Bangladesh. Sci J Public Health 2016; 4 (1-1): 10-15. |
[6] | Rahman A and Chowdhury S. Determinants of chronic malnutrition among preschool children in Bangladesh. J Biosoc Sci 2007; 39 (2): 161-173. |
[7] | Genton B, Al-Yaman F, Ginny M, Taraika J and Alpers MP. Relation of anthropometry to malaria morbidity and immunity in Papua New Guinean. Am J Clin Nutr 1998; 68: 734-41. |
[8] | Rahman A and Hakim MA. An epidemiological study on hygiene practice and malnutrition prevalence of beggars children in Bangladesh. Int J Nutr Diet 2016; 4 (1): 29-46. |
[9] | UNICEF. Malnutrition in South Asia; A Regional Profile, UNICEF report, 1997; p. 8. |
[10] | Rahman A, Chowdhury S and Hossain D. Acute malnutrition in Bangladeshi children: levels and determinants. Asia Pac J Public Health 2009; 21 (1): 294-302. |
[11] | Hakim MA, Talukder MJ and Islam MS. Nutritional status and hygiene behavior of government primary school kids in central Bangladesh. Sci J Public Health 2015; 3 (5): 638-642. |
[12] | Fakir AMS and Rahman MW. Determinants of malnutrition among urban slum children in Bangladesh. Health Educ Rev 2015; 5:22. |
[13] | Kamruzzaman M and Hakim MA. Child criminalization at slum areas in Dhaka city. Am J Psycho Cog Sci 2015; 1 (4): 107-111. |
[14] | Ghosh S and Shah D. Nutritional problems in urban slum children. Ind Pediatr 2004; 41 (7): 682-696. |
[15] | Hakim MA and Kamruzzaman M. The dance of poverty and education for childhood nutritional victimization in Bangladesh. J Biolog Env Engg 2016; 1 (1): 6-9. |
[16] | Weitzmawqn M. Excessive school absence. Adv Develop Behav Pediatr 1987; 8: 151-78. |
[17] | Kamruzzaman M and Hakim MA. Family planning practices among married women attending primary health care centers in Bangladesh. Int J Bioinfo Biomed Engg 2015; 1 (3): 251-255. |
[18] | Kamruzzaman M and Hakim MA. Socio-economic status of child beggars in Dhaka city. J Soc Sci Human 2015; 1 (5): 516-520. |
[19] | Kamruzzaman M and Hakim MA. Basic rights on the wane, human rights on brown study: a case study on thrown away children in Bangladesh. J Env Plan Manage 2016; 2 (4): 29-35. |
[20] | Rahman A. Significant risk factors for childhood malnutrition: evidence from an Asian developing country. Sci J Public Health 2016; 4 (1-1): 16-27. |
[21] | Hoddinott J, Rosegrant M and Torero M. Challenge paper: hunger and malnutrition 2012. |
[22] | Sampey BP, Vanhoose AM, Winfild HM, Freemerman AJ, Muehlbauer MJ, Fueger PT, Newgard CB and Makowski L. Cafeteria diet is a robust model of human metabolic syndrome with liver and adipose inflammation: comparison to high-fat diet. Obesity 2011; 19 (6): 1109-1117. |
[23] | Ledikwe JH, Blank HM, Kettel KL, Serdula MK, Seymour JD, Tohill BC and Rolls BJ. Dietary energy density is associated with energy intake and weight status in US asdults. Am J Clin Nutr 2006; 83 (6): 1362-8. |
[24] | Linkon MR, Prodhan UK, Elahi T, Talukder J, Alim MA and Hakim MA. Comperative analysis of the physicochemical and antioxidant properties of honey available in Tangail, Bangladesh. Int J Res Engg Tech 2015; 4 (3): 89-92. |
[25] | Makowski L and Hotamisligil GS. Fatty acid binding proteins-the evolutionary crossroads of inflammatory and metabolic response. J Nutr 2004; 134: 2464S-2468S. |
[26] | Linkon KMMR, Prodhan UK, Hakim MA and Alim MA. Study on the physicochemical and antioxidant properties of nigella honey. Int J Nutr Food Sci 2015; 4 (2):137-140. |
[27] | Kane G. The mysteries of mass. Scientific American (Nature America, Inc.) 2008; p. 32-39. |
[28] | Hakim MA. Physicochemical properties of dhania honey. Am J Food Sci Nutr Res 2015; 2 (5): 145-148. |
[29] | Jammer M. Concept of mass in classical and modern physics, New York: Dover, 1997. |
[30] | Buffy G. Kupffer cells in non-alcoholic fatty liver disease: the emerging view. J Hepatol 2009; 51: 212-223. |
[31] | Rolls BJ. The relationship between dietary energy density and energy intake. Physiol Behav 2009; 97: 609-615. |
[32] | Despres JP. Is visceral obesity the cause of metabolic syndrome. Ann Med 2006; 38: 52-63. |
[33] | Huq AKO. Human Nutrition and Applied Dietetics (1st edn) 2012; p. 31. |
[34] | Hakim MA and Islam MS. Elementary of Food Science and Technology (1st edn) 2016; p. 36. |
[35] | Mitchell MC and Herlong HF. Alcohol and nutrition: calorie value, bioenergies and relationship to liver damage. Annu Rev Nutr 1986; 6: 457-74. |
[36] | Joshi SA. Nutrition and Dietetics (2nd edn) 2002, p. 31. |
[37] | Wilson GB, Kaner EFS, Croslard A, Ling J and Haighton CA. Quantitative study of alcohol, health and identities among UK adults in later life. PLoS ONE 2013; 8 (8): e71792. |
[38] | Shirali S. A premier in logarithm, Hyderabad: Universities Press 2002. |
[39] | Gulberg J. Mathematics: from the birth of numbers, New York: W. W. Norton & Co. 1997. |
[40] | Kate SK and Bhapkar HR. Basics of mathematics, Pune: Technical publications 2009. |
[41] | Bernard JE and Bright GW. Students performance in solving linear equations. Int J Math Educ Sci Tech 2006; 15: 399-421. |
[42] | Denzer CM and Young CG. The effect of résistance exercise on the thermal effect of food. Int J Sports Nutr Exercise Metab 2003; 13(3): 396-402. |
[43] | Rahman A and Hakim MA. Measuring modified mass energy equivalence in nutritional epidemiology: a proposal to adapt the biophysical modelling approach. Int J Stat Med Res 2016; 5 (3) 219-223. |
[44] | Einstein A. Ist dies tragheit eines korpers von seinem energieinhalt abhangig? Annalen der Physik 1905; 18: 639-643. |
[45] | Kittel C and Kroemer H. Thermal physics. Macmillan 1980. |
[46] | Hakim MA and Rahman A. Health and nutritional condition of street children of Dhaka city: an empirical study in Bangladesh. Sci J Public Health 2016; 4 (1-1) 6-9. |
[47] | Sadava D and Orians G. Life: The science of biology. New York: W. H. Freeman and Co. 2000; p. 887. |
[48] | Rahman A, Hakim MA, Hanif MA, Islam MR and Kamruzzaman M. Dietary practices, health status and hygiene obserbance of slum kids: a pilot study in an Asian developing country. JP J Biostat 2016; 13 (2): 195-208. |
[49] | Huber M, Knottnerus JA, Green L, van der Horst AR, Kromhout D and Smid H. BMJ 2011; 343 (d4163). |
[50] | Kamruzzaman M and Hakim MA. Socioeconomic status of slum dwellers on the capital city of Bangladesh. Am J Bisiness Society 2016; 1 (2): 13-18. |
[51] | Kamruzzaman M, Hakim MA, Hanif MA, Rahman MH, Islam MA, Talukder MR and Islam MR. Patterns of behavioral changes among adolescent smokers: an empirical study. Front Biomed Sci 2016; 1 (1): 1-6. |
[52] | WHO. Constitution of the World Health 2006. |
[53] | Hakim MA. Nutrition on malnutrition helm, nutrition policy in fool's paradise. The Daily Observer, 2015. Available on http://www.observerbd.com/2015/09/20/111732.php. (Accessed on September 20, 2015). |
[54] | Hakim MA. Nutritional status and hygiene practices of primary school goers in gateway to the north Bengal. Int J Public Health Res 2016; 3 (5): 271-275. |
[55] | Islam MS, Hakim MA, Kamruzzaman M, Safeuzzaman, Haque MS and Alam MK. Socioeconomic profile and health status of rickshaw pullers in rural Bangladesh. Am J Food Sci Health 2016; 2 (4): 32-38. |
[56] | Hakim MA. Malnutrition prevalence and nutrition counseling in developing countries: a case study. Int J Nurs Health Sci 2016; 3 (3): 19-22. |
[57] | Hakim MA. Nutrition counseling in homelessness: a NC4HD nexus. Int J Health Econ Pol 2017; 2 (1): 12-15. |
[58] | Hakim MA and Talukder MJ. An assessment of health status of street children in Tangail, Bangladesh. Sci J Public Health 2016; 4 (1-1): 1-5. |
[59] | Hakim A. Vitamin A deficiency as a global public health threat: a concern in nutritional victimization. J Nutr Health Food Engg 2016; 4 (5): 00147. |
[60] | Rahman A, Harding A, Tanton R and Liu S. Methodological issues in spatial microsimulation modelling for small area estimations. Int J Microsimul 2010; 3 (2): 3-22. |
[61] | Rahman A and Harding A. Spatial analysis of housing stress estimation in Australia with statistical validation. Aust J Reg Stud 2014; 20 (3): 452-486. |
[62] | Rahman A, Harding A, Tanton R and Liu S. Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia. Comput Stat Data Analysis 2013; 57 (1): 149-165. |
[63] | Islam D, Ashraf M, Rahman A and Hasan R. Quantitative Analysis of Amartya Sen's Theory: An ICT4D Perspective. Int J Info Commu Tech Human Dev 2015; 7 (3): 13-26. |
[64] | Phill M. Small area housing stress estimation in Australia: Microsimulation modeling and statistical reliability, University of Canberra, Australia 2011. |
[65] | Rahman A. Small area estimation through spatial microsimulation models: Some methodological issues, Paper presented at the 2nd General Conference of the International Microsimulation Association, The National Conference Centre Ottawa, Canada 2009; p. 1- 45 (June 8 to 10). |
[66] | Rahman A and Upadhyay S. A Bayesian reweighting technique for small area estimation. Current Trends in Bayesian Methodology with Applications, CRC Press, London 2015; p. 503-519. |
[67] | Connolly J, Romano T and Patruno M. Effects of dieting and exercise on resting metabolic rate and implications for weight management. Fam Pract 1999; 16 (2): 196-201. |
[68] | Malinauskas BM, Raedeke TD, Aeby VG, Smith JL and Dallas MB. Dieting practices, weight perceptions and body composition: a comparison of normal weight, overweight and obese college females. Nutr J 2006; 5: 11. |
[69] | Kim JS. Experiences in healthy dieting of male college students with obesity in Korea. Osong Public Health Res Perspect 2015; 6 (1): 59-63. |
[70] | Poole SA, Hart CN, Jelalian E and Raynor HA. Relationship between dietary energy and dietary quality in overweight young children: a cross-sectional analysis. Pediatr Obesity 2016; 11 (2): 128-135. |
[71] | Karsten K. Educational Theory as Tropical Rheotic: The Concepts of Pedagogy of Johann Freidrich Herbert and Freidrich Schleiermacher. Stud Philosophy Educ 2012; 31 (1): 265-273. |
[72] | Rahman A and Harding A. Prevalence of overweight and obesity epidemic in Australia: some causes and consequences. JP J Biostat 2013; 10 (1): 31-48. |
[73] | Hakim MA and Kamruzzaman M. Nutritional status of central Bangladesh street children. Am J Food Sci Nutr Res 2015; 2 (5): 133-137. |
[74] | Kuddus A, Rahman A, Talukder MR and Hoque A. A modified SIR model to study on physical behaviour among smallpox infective population in Bangladesh. Am J Math Stat 2014; 4 (5): 231-239. |
[75] | Rahman A and Hakim MA. Modeling health status using the logarithmic biophysical modulator. J Public Health Epodemiol, in press. |
APA Style
Md. Abdul Hakim. (2017). Biophysical Modeling of Dietary Energy in Biochemical Modeling. European Journal of Biophysics, 5(3), 57-61. https://doi.org/10.11648/j.ejb.20170503.12
ACS Style
Md. Abdul Hakim. Biophysical Modeling of Dietary Energy in Biochemical Modeling. Eur. J. Biophys. 2017, 5(3), 57-61. doi: 10.11648/j.ejb.20170503.12
AMA Style
Md. Abdul Hakim. Biophysical Modeling of Dietary Energy in Biochemical Modeling. Eur J Biophys. 2017;5(3):57-61. doi: 10.11648/j.ejb.20170503.12
@article{10.11648/j.ejb.20170503.12, author = {Md. Abdul Hakim}, title = {Biophysical Modeling of Dietary Energy in Biochemical Modeling}, journal = {European Journal of Biophysics}, volume = {5}, number = {3}, pages = {57-61}, doi = {10.11648/j.ejb.20170503.12}, url = {https://doi.org/10.11648/j.ejb.20170503.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejb.20170503.12}, abstract = {The measurement of total dietary energy is in great triumph on the helm of designing an apt dieting in normal and therapeutic diet. The prevailing procedures in this arena are relatively time consuming, laboratory tests induced and often the misleading data contributors while planning a balanced dieting in nutrition counseling. The dietician is sometimes at bay in the route ahead of perfect dieting to hold up nutritional soundness of the sample at a population in a community. The aim of this current study is making a dot over these ongoing perils exploring a mathematical modeling used in prescribing a confounding free diet. The study can divulge an open secret in measuring total dietary energy to curb the possible health horrors in worldwide nutritional epidemiology. The study finding is the determinant of total dietary energy (DTDE) [equation (16)] can be a splendid biophysical modeling as a dieting tool in human nutrition.}, year = {2017} }
TY - JOUR T1 - Biophysical Modeling of Dietary Energy in Biochemical Modeling AU - Md. Abdul Hakim Y1 - 2017/10/21 PY - 2017 N1 - https://doi.org/10.11648/j.ejb.20170503.12 DO - 10.11648/j.ejb.20170503.12 T2 - European Journal of Biophysics JF - European Journal of Biophysics JO - European Journal of Biophysics SP - 57 EP - 61 PB - Science Publishing Group SN - 2329-1737 UR - https://doi.org/10.11648/j.ejb.20170503.12 AB - The measurement of total dietary energy is in great triumph on the helm of designing an apt dieting in normal and therapeutic diet. The prevailing procedures in this arena are relatively time consuming, laboratory tests induced and often the misleading data contributors while planning a balanced dieting in nutrition counseling. The dietician is sometimes at bay in the route ahead of perfect dieting to hold up nutritional soundness of the sample at a population in a community. The aim of this current study is making a dot over these ongoing perils exploring a mathematical modeling used in prescribing a confounding free diet. The study can divulge an open secret in measuring total dietary energy to curb the possible health horrors in worldwide nutritional epidemiology. The study finding is the determinant of total dietary energy (DTDE) [equation (16)] can be a splendid biophysical modeling as a dieting tool in human nutrition. VL - 5 IS - 3 ER -