Effects of pre-pregnancy maternal body mass index on gestational diabetes mellitus

  • Authors

    • Priya Shirley Muller
    • M Nirmala
    2018-03-01
    https://doi.org/10.14419/ijet.v7i1.9.10013
  • Gestational Diabetes Mellitus, Body Mass Index, Obesity, Discriminant Analysis, Risk Factor.

  • Abstract

    The prevalence of both obesity and Gestational Diabetes Mellitus (GDM) is increasing worldwide. Overweight and obesity are abnormal or excessive fat accumulation that presents a risk to health. The presence of obesity has, in particular, a significant impact on both maternal and fetal complications associated with GDM. These complications can be addressed, at least in part, by good glycaemic control during pregnancy. The objective of the study is to classify GDM and non-GDM patients based on pre-pregnancy maternal Body Mass Index (BMI) and to assess and quantify the risk for GDM according to BMI.

  • References

    1. [1] Artal R, Catanzaro RB, Gavard JA, Mostello DJ, Friganza JC., A lifestyle intervention of weight-gain restriction: diet and exercise in obese women with gestational diabetes mellitus, ApplPhysiolNutrMetab., 32(3):596–601, 2007. https://doi.org/10.1139/H07-024.

      [2] Chu SY, Callaghan WM, Kim SY, et al., Maternal obesity and risk of gestational diabetes mellitus, Diabetes Care, 30(8):2070–2076, 2007. https://doi.org/10.2337/dc06-2559a.

      [3] Gabbe S., Gestational diabetes mellitus, N Engl J Med., 315:1025–6, 1986. https://doi.org/10.1056/NEJM198610163151609.

      [4] Hosmer D. W. and Lemeshow S. Applied Logistic Regression, John Wiley, New York, 1989.

      [5] Kim C, Newton KM, Knopp RH., Gestational diabetes and the incidence of type 2 diabetes: a systematic review, Diabetes Care, 25:1862–8, 2002. https://doi.org/10.2337/diacare.25.10.1862.

      [6] MacNeill S, Dodds L, Hamilton DC, et al. Rates and risk factors for recurrence of gestational diabetes, Diabetes Care, 24:659–62, 2001. https://doi.org/10.2337/diacare.24.4.659.

      [7] Priya Shirley Muller, S.Meenakshi Sundaram, M.Nirmala, E.Nagarajan, Application of Computational Technique in Design of Classifier for Early Detection of Gestational Diabetes Mellitus, Applied Mathematical Sciences, 9 (67), pp 3327 – 3336, 2015. https://doi.org/10.12988/ams.2015.54319.

      [8] Ratner RE., Prevention of type 2 diabetes in women with previous gestational diabetes, Diabetes Care, 30(suppl 2):S242–S245, 2007. https://doi.org/10.2337/dc07-s223.

      [9] Rezaei Mansour, ZandkarimiEghbal and Hashemian Amirhossein, Comparison of Artificial Neural Network, Logistic Regression and Discriminant Analysis Efficiency in Determining Risk Factors of Type 2 Diabetes, World Applied Sciences Journal 23 (11), pp 1522-1529, 2013.

      [10] Shai I, Jiang R, Manson JE, et al., Ethnicity, obesity, and risk of type 2 diabetes in women: a 20-year follow-up study, Diabetes Care, 29(7):1585–1590, 2006. https://doi.org/10.2337/dc06-0057.

      [11] Zhang C, Solomon CG, Manson JE, Hu FB., A prospective study of pregravid physical activity and sedentary behaviors in relation to the risk for gestational diabetes mellitus, Arch Intern Med., 166(5):543– 548, 2006. https://doi.org/10.1001/archinte.166.5.543.

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  • How to Cite

    Shirley Muller, P., & Nirmala, M. (2018). Effects of pre-pregnancy maternal body mass index on gestational diabetes mellitus. International Journal of Engineering & Technology, 7(1.9), 279-282. https://doi.org/10.14419/ijet.v7i1.9.10013

    Received date: 2018-03-09

    Accepted date: 2018-03-09

    Published date: 2018-03-01