Correlation between Red Blood Cells Indices and the Glycaemic Status in Patients with Type 2 Diabetes

by

TABLE OF CONTENTS

ANALYSIS1

Introduction1

1. Characteristic Table1

Type of Diabetes Mellitus * Gender1

Type of Diabetes Mellitus * Age Group3

2. Check for Normality5

3. Independent samples t-test6

4. Pearson's correlations10

Correlation in glycaemic control between iron deficient T2DM and T2DM without iron deficiency10

Correlation in glycaemic control between anaemic T2DM and T2DM without anaemia10

To explore the prevalence of minor abnormalities in red blood cells and iron status (which may affect RBC production in type 2 diabetes11

To establish the relationship between the control of glucose in type 2 diabetes and red blood cell indices in order to provide significant evidence based result, which will help in using certain glycaemic markers such as HbA1c as a diagnostic and monitoring tool11

5. Factor analysis12

REFERENCES17

ANALYSIS

Introduction

The aim of this study is to examine does variation in red blood cell lifespan and iron status affect the relationship between average blood glucose concentration and laboratory markers of glycaemic status (such as HbA1c) in a cohort of patients with Type 2 diabetes. This research study analyse the relationship between average blood glucose concentration and laboratory markers of glycaemic status and is this relationship modified/affected by red blood cell lifespan and iron status.

1. Characteristic Table

Type of Diabetes Mellitus * Gender

Crosstab

Count

Gender

Total

Male

Female

Type of Diabetes mellitus

T1DM

28

26

54

T2DM

111

76

187

Total

139

102

241

The above table and cluster bar chart indicates that there were huge populations of males i.e. 111 are suffering from Type II of Diabetes mellitus. There were 76 females in our sample who are suffering from Type II of Diabetes mellitus. Whereas there was a little proportion of population from both genders was suffering from Type I of Diabetes mellitus. So it can be said that most of the population are suffering from Type II of Diabetes mellitus.

Symmetric Measures

Value

Asymp. Std. Errora

Approx. Tb

Approx. Sig.

Interval by Interval

Pearson's R

-.063

.065

-.981

.327c

Ordinal by Ordinal

Spearman Correlation

-.063

.065

-.981

.327c

N of Valid Cases

241

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

The above table presents the correlation analysis among the gender and type of diabetes mellitus. The value of Pearson correlation is -0.063 which indicates that a weak correlation exists among the two variables. It can be said that the individual either male or female can suffer from type of diabetes mellitus.

Type of Diabetes Mellitus * Age Group

Age (Binned) * Type of Diabetes mellitus Crosstabulation

Count

Type of Diabetes mellitus

Total

T1DM

T2DM

Age (Binned)

<= 19

3

0

3

20 - 28

1

2

3

29 - 37

9

3

12

38 - 46

10

14

24

47 - 54

9

27

36

56 - 63

13

44

57

64 - 72

6

60

66

73 - 81

2

26

28

82+

1

11

12

Total

54

187

241

The above table and chart presents the cross tabulation of age group and type of diabetes mellitus. The findings of above table indicate that most of the respondents are suffering from T2DM. Most of the respondents from age group 64-72 years are suffering from T2DM. It can be observed that there is a very lithe proportion of respondents who suffering from T1DM. After 40 years of age there is high risk of T2DM in patients.

Symmetric Measures

Value

Asymp. Std. Errora

Approx. Tb

Approx. Sig.

Interval by Interval

Pearson's R

.391

.061

6.569

.000c

Ordinal by Ordinal

Spearman Correlation

.364

.058

6.039

.000c

N of Valid Cases

241

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.

The above table presents the correlation analysis among the age group and ...