International Journal of Systems Science and Applied Mathematics

| Peer-Reviewed |

Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death

Received: 23 May 2018    Accepted: 14 June 2018    Published: 13 July 2018
Views:       Downloads:

Share This Article

Abstract

Diabetes mellitus is one of the fast-growing global problems in the modern era. Khulna Division is not out of that. So, in this paper, it has been tried to recognize the multiple difficulties of hyperglycemia in Khulna, one of the divisions of Bangladesh. Branching process is obtained to determine the probability of ultimate extinction of hyperglycemia in generations. Bivariate and hierarchical multiple logistic regression models are used to examine the association of the determinants and hyperglycemia. Poisson regression is used to look at the number of multiple complications for forthcoming death. The place of resident, marital status, diabetes symptoms: nausea, diabetes symptoms: frequent previous generation and treatment gap are identified most significantly associate with the occurrence of hyperglycemia. Also, nausea person has further chance to attain a hyperglycemia as compared to non-nausea peoples in addition to male patients, if all other factors are constant. Also, the probability of extinction expresses zero for the people with diabetes and the tree diagram exhibits swiftness in the generation to generation. Overall, mortality risk factors among the people with diabetes for numerous worries are estimated by Poisson regression and try to avoid widespread of hyperglycemia in Khulna by diminishing the community health problem of diabetes.

DOI 10.11648/j.ijssam.20180302.11
Published in International Journal of Systems Science and Applied Mathematics (Volume 3, Issue 2, March 2018)
Page(s) 16-23
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), 2024. Published by Science Publishing Group

Keywords

Hyperglycemia, Mortality, Branching Process, Polytomous Regression, Multiple Complications

References
[1] Chowdhury MA, Uddin MJ, Khan HM, Haque MR. Type 2 diabetes and its correlates among adults in Bangladesh: a population-based study. BMC Public Health. 2015 Dec;15(1):1070. DOI: doi.org/10.1186/s12889-015-2413-y
[2] American Diabetes Association. Standards of medical care in diabetes—2015 abridged for primary care providers. Clinical diabetes: a publication of the American Diabetes Association. 2015 Apr;33(2):97. DOI:doi.org/10.2337/diaclin.33.2.97
[3] Wefuan FK. The escalating diabetes epidemic: determinants of prevalence disparity between country income groups (master’s thesis (published), University of Tromsø, Norway), 2013.
[4] Dinca-Panaitescu S, Dinca-Panaitescu M, Bryant T, Daiski I, Pilkington B, Raphael D. Diabetes prevalence and income: results of the Canadian Community Health Survey. Health policy. 2011 Feb 1; 99(2):116-23. DOI: 10.1016/j.healthpol.2010.07.018.
[5] Hruby A, Hu FB. The epidemiology of obesity: a big picture. Pharmacoeconomics. 2015 Jul 1; 33(7):673-89. DOI:10.1007/s40273-014-0243-x
[6] Aljefree N, Ahmed F. Association between dietary pattern and risk of cardiovascular disease among adults in the Middle East and North Africa region: a systematic review. Food & nutrition research. 2015 Jan 1;59(1): 27486. DOI: 10.3402/fnr.v59.27486
[7] Gutiérrez-Pliego LE, del Socorro Camarillo-Romero E, Montenegro-Morales LP, de Jesus Garduño-García J. Dietary patterns associated with body mass index (BMI) and lifestyle in Mexican adolescents. BMC public health. 2016 Dec;16(1): 850. DOI: 10.1186/s12889-016-3527-6.
[8] Ahmad Z, Pervaiz MK. Risk factors and diabetes mellitus (statistical study of adults in Lahore, Pakistan). Journal of Statistics. 2006; 13(1):46-66. ISSN 1684 – 8403.
[9] Chowdhury MA, Uddin MJ, Khan HM, Haque MR. Type 2 diabetes and its correlates among adults in Bangladesh: a population-based study. BMC Public Health. 2015 Dec; 15(1):1070. DOI: 10.1186/s12889-015-2413-y.
[10] Wild SH, Byrne CD. Risk factors for diabetes and coronary heart disease. Bmj. 2006 Nov 9; 333(7576):1009-11. DOI:10.1136/bmj.39024.568738.43.
[11] Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: acomprehensive review. Circulation. 2016 Jan 12; 133(2): 187225. DOI: doi.org/10.1161/CIRCULATIONAHA.115.018585
[12] Joseph J, Svartberg J, Njølstad I, Schirmer H. Incidence of and risk factors for type-2 diabetes in a general population: the Tromsø Study. Scandinavian journal of public health. 2010 Nov;38(7): 768-75. DOI: 10.1177/1403494810380299
[13] Kautzky-Willer A, Harreiter J, Pacini G. Sex and gender differences in risk, pathophysiology and complications of type 2 diabetes mellitus. Endocrine reviews. 2016 May 9;37(3):278-316. DOI: doi.org/10.1210/er.2015-1137.
[14] Darnton-Hill I, Nishida C, James WP. A life course approach to diet, nutrition and the prevention of chronic diseases. Public health nutrition. 2004 Feb; 7(1a):101-21. DOI: 10.1079/PHN2003584.
[15] Sicree R, Shaw J. Type 2 diabetes: An epidemic or not, and why it is happening. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2007 Jun 1;1(2):75-81. ISSN 1011 5528.
[16] Rahim MA. Diabetes in Bangladesh: Prevalence and determinants (master’s thesis-published, University of Oslo, Norway), 2002.
[17] Bangladesh population and housing census (2011). Dhaka: Bangladesh Bureau of Statistics, Government of the People’s Republic of Bangladesh; 2012.
[18] Saquib N, Saquib J, Ahmed T, Khanam MA, Cullen MR. Cardiovascular diseases and type 2 diabetes in Bangladesh: a systematic review and meta-analysis of studies between 1995 and 2010. BMC public health. 2012 Dec;12(1):434. DOI:doi.org/10.1186/1471-2458-12-434
[19] Yokota F, Ahmed A, Islam R, Nishikitani M, Kikuchi K, Nohara Y, Okajima H, Kitaoka H, Nakashima N. The Relationships and Risk Factors Associated with Hypertension, Diabetes, and Proteinuria among Adults from Bheramara Upazila, Bangladesh: Findings from Portable Health Clinic Data, 2013-2016. International Journal of Medical Research & Health Sciences, 2018 J;7(2):1-12. ISSN No: 2319-5886
[20] Jacobson PH. A statistical study of cancer among diabetics. The Milbank Memorial Fund Quarterly. 1948 Jan 1;26(1):90-118. DOI:10.2307/3348157
[21] Forssas E, Arffman M, Manderbacka K, Keskimäki I, Ruuth I, Sund R. Multiple complications among people with diabetes from Finland: an 18-year follow-up in 1994–2011. BMJ Open Diabetes Research and Care. 2016 Oct; 4(1): 000254. DOI: 10.1136/bmjdrc-2016-000254
[22] Umpierrez GE, Isaacs SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes. The Journal of Clinical Endocrinology & Metabolism. 2002 Mar 1;87(3):978-82. DOI:0013-7227/02/$15.00/0
[23] Poisson regression. https://en.wikipedia.org/wiki/Poisson_regression.
[24] Hyperglycamia. https://www.medicinenet.com/hyperglycemia/article.htm.
[25] Imtiaz KS, Chowdhury M, Nazneen H, Begum N, Tamanna N, Alam F, Akter J. Knowledge Regarding Diabetes Mellitus among Rural People in a Selected Area of Bangladesh. Northern International Medical College Journal. 2016 Sep 19;7(2):131-4. DOI: 10.1186/s12889-017-4285-9
[26] Islam MN. An introduction to sampling methods: theory and applications. 3rd ed. Mullick & Brothers; 2014.
[27] Bhat UN. Elements of applied stochastic processes. 2nd ed. New York: Wiley; 1981.
[28] Branching process. https://en.wikipedia.org/wiki/Branching_process.
[29] Hossain MM. and Rios R. An application of branching process in multi-level marketing (MLM). Lap Lambert Academic publications; 2013. DOI: ISBN: 978-3-659-44547-7.
[30] Logistic regression. https://en.wikipedia.org/wiki/Logistic_regression.
[31] Montgomery DC. and Peek E. An introduction to regression analysis. 3rd ed. New York: John Wiley and Sons; 2004.
[32] Gujarati DN., Porter DC. and Gunasekar S. Basic econometrics. 5th ed. New York: McGraw; 2015.
[33] Agresti A. Categorical data analysis. 2nd ed. John Wiley & Sons, Inc; 2002.
Author Information
  • Statistics Discipline, Khulna University, Khulna, Bangladesh

  • Statistics Discipline, Khulna University, Khulna, Bangladesh; Department of Mathematical Science, Ball State University, Muncie, USA

  • Statistics Discipline, Khulna University, Khulna, Bangladesh

  • Statistics Discipline, Khulna University, Khulna, Bangladesh

Cite This Article
  • APA Style

    Sohani Afroja, Masudul Islam, Mohammad Emran Hossen, Tapos Kumar Biswas. (2018). Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death. International Journal of Systems Science and Applied Mathematics, 3(2), 16-23. https://doi.org/10.11648/j.ijssam.20180302.11

    Copy | Download

    ACS Style

    Sohani Afroja; Masudul Islam; Mohammad Emran Hossen; Tapos Kumar Biswas. Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death. Int. J. Syst. Sci. Appl. Math. 2018, 3(2), 16-23. doi: 10.11648/j.ijssam.20180302.11

    Copy | Download

    AMA Style

    Sohani Afroja, Masudul Islam, Mohammad Emran Hossen, Tapos Kumar Biswas. Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death. Int J Syst Sci Appl Math. 2018;3(2):16-23. doi: 10.11648/j.ijssam.20180302.11

    Copy | Download

  • @article{10.11648/j.ijssam.20180302.11,
      author = {Sohani Afroja and Masudul Islam and Mohammad Emran Hossen and Tapos Kumar Biswas},
      title = {Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death},
      journal = {International Journal of Systems Science and Applied Mathematics},
      volume = {3},
      number = {2},
      pages = {16-23},
      doi = {10.11648/j.ijssam.20180302.11},
      url = {https://doi.org/10.11648/j.ijssam.20180302.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijssam.20180302.11},
      abstract = {Diabetes mellitus is one of the fast-growing global problems in the modern era. Khulna Division is not out of that. So, in this paper, it has been tried to recognize the multiple difficulties of hyperglycemia in Khulna, one of the divisions of Bangladesh. Branching process is obtained to determine the probability of ultimate extinction of hyperglycemia in generations. Bivariate and hierarchical multiple logistic regression models are used to examine the association of the determinants and hyperglycemia. Poisson regression is used to look at the number of multiple complications for forthcoming death. The place of resident, marital status, diabetes symptoms: nausea, diabetes symptoms: frequent previous generation and treatment gap are identified most significantly associate with the occurrence of hyperglycemia. Also, nausea person has further chance to attain a hyperglycemia as compared to non-nausea peoples in addition to male patients, if all other factors are constant. Also, the probability of extinction expresses zero for the people with diabetes and the tree diagram exhibits swiftness in the generation to generation. Overall, mortality risk factors among the people with diabetes for numerous worries are estimated by Poisson regression and try to avoid widespread of hyperglycemia in Khulna by diminishing the community health problem of diabetes.},
     year = {2018}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Determines Hyperglycaemia Spreads in Generations with Multiple Complications That Imposing Towards Death
    AU  - Sohani Afroja
    AU  - Masudul Islam
    AU  - Mohammad Emran Hossen
    AU  - Tapos Kumar Biswas
    Y1  - 2018/07/13
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijssam.20180302.11
    DO  - 10.11648/j.ijssam.20180302.11
    T2  - International Journal of Systems Science and Applied Mathematics
    JF  - International Journal of Systems Science and Applied Mathematics
    JO  - International Journal of Systems Science and Applied Mathematics
    SP  - 16
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2575-5803
    UR  - https://doi.org/10.11648/j.ijssam.20180302.11
    AB  - Diabetes mellitus is one of the fast-growing global problems in the modern era. Khulna Division is not out of that. So, in this paper, it has been tried to recognize the multiple difficulties of hyperglycemia in Khulna, one of the divisions of Bangladesh. Branching process is obtained to determine the probability of ultimate extinction of hyperglycemia in generations. Bivariate and hierarchical multiple logistic regression models are used to examine the association of the determinants and hyperglycemia. Poisson regression is used to look at the number of multiple complications for forthcoming death. The place of resident, marital status, diabetes symptoms: nausea, diabetes symptoms: frequent previous generation and treatment gap are identified most significantly associate with the occurrence of hyperglycemia. Also, nausea person has further chance to attain a hyperglycemia as compared to non-nausea peoples in addition to male patients, if all other factors are constant. Also, the probability of extinction expresses zero for the people with diabetes and the tree diagram exhibits swiftness in the generation to generation. Overall, mortality risk factors among the people with diabetes for numerous worries are estimated by Poisson regression and try to avoid widespread of hyperglycemia in Khulna by diminishing the community health problem of diabetes.
    VL  - 3
    IS  - 2
    ER  - 

    Copy | Download

  • Sections