Indian Journal of Public Health Research & Development
  • Year: 2019
  • Volume: 10
  • Issue: 11

New Approach for Analysis the Correlation of Some Oxidative Markers in Type 2 Diabetes Mellitus by Data Wavelet Analysis

  • Author:
  • Abd Elgadir A. Altoum1, Asaad Ma. Babker1, Ahmed L. Osman1, Marwan Ismail2,1, Vyacheslav Lyashenko3,1
  • Total Page Count: 7
  • Page Number: 2449 to 2455

1Assistant Professor, Department of Medical Laboratory Sciences, College of Health Sciences, Gulf Medical University, Ajman, UAE

2Lecture, Department of Medical Laboratory Sciences, College of Health Sciences, Gulf Medical University, Ajman, UAE

3Professors, Department of Informatics, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

Online published on 27 March, 2020.

Abstract

Diabetes mellitus is a common disease. This disease also has several complications, which is the main reason for the development of other diseases. For the study of diabetes, various markers are considered. Analysis of such markers allows us to draw conclusions about the degree of development of diabetes mellitus. We are considering expanding the analysis of various markers in diabetes. To do this, we use wavelet ideologists - the wavelet coherence method. We have identified periods of agreement between FBS and serum vitamin A, FBS and serum vitamin C, serum vitamin A and serum vitamin C, serum vitamin A and MDA for different levels of HbA1c. This allows us to evaluate the effect of various markers on the development of diabetes. To conduct this study, a group of 300 patients with type 2 diabetes was considered.

Keywords

Diabetes mellitus, correlation, wavelet coherence, glyclated hemoglobin, fasting blood sugar, malondialdehyde