Previous study has shown that there is a relationship between red blood cells turnover and the use of HbA1c for monitoring diabetes but the project is to look at what effect will slight variation in red cell lifespan and iron status will have on glycaemic control within a healthy population.
The primary outcome measure is to establish the effectiveness of using certain diabetes markers such HbA1c with a view to quantifying reference levels for iron deficient Type 2 diabetes. The findings present the statistical analysis which quantifies the strength of the interdependency between two sets of measures i.e. haematological parameters (which are Full blood count, Reticulocytes, and Haematinics (i.e. B12 & folate, Ferritin) and glycaemic laboratory markers (which are HbA1c, Serum fructosamine, Fasting blood glucose).
Cross tabulations and Correlation Analysis
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.
(sTFr) levels to detect iron deficiency in type 1 diabetic (Binned) * Gender
Crosstab
Count
Gender
Total
Male
Female
(sTFr) levels to detect iron deficiency in type 1 diabetic (Binned)
1.4501 - 4.5060
113
80
193
4.5061 - 7.5620
19
12
31
7.5621 - 10.6180
1
1
2
10.6181 - 13.6740
1
0
1
13.6741+
0
2
2
Total
134
95
229
The above table and cluster bar chart presents the cross tabulation analysis among sTFr which is the levels to detect iron deficiency in type 1 diabetic and Gender. There were 113 male and 80 females respondents reported in the above table who have sTFr within the range of 1.4501 - 4.5060. It can be said that male individuals have high level of iron deficiency in type 1 diabetes.
Symmetric Measures
Value
Asymp. Std. Errora
Approx. Tb
Approx. Sig.
Interval by Interval
Pearson's R
.047
.067
.702
.484c
Ordinal by Ordinal
Spearman Correlation
.005
.066
.082
.935c
N of Valid Cases
229
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 sTFr which is the levels to detect iron deficiency in type 1 diabetic and Gender. The value of Pearson correlation is 0.047 reported in the above table which indicates that there is a little amount of correlation exists among sTFr and gender of individuals.
Correlation Analysis
Correlations
(HbA1c) Haemoglobin in blood
Fastg
Fructosamine
Folate
(HbA1c) Haemoglobin in blood
Pearson Correlation
1
.473**
.736**
.069
Sig. (2-tailed)
.000
.000
.285
N
241
239
235
239
Fastg
Pearson Correlation
.473**
1
.450**
.098
Sig. (2-tailed)
.000
.000
.129
N
239
239
235
239
Fructosamine
Pearson Correlation
.736**
.450**
1
.247**
Sig. (2-tailed)
.000
.000
.000
N
235
235
235
235
Folate
Pearson Correlation
.069
.098
.247**
1
Sig. (2-tailed)
.285
.129
.000
N
239
239
235
239
**. Correlation is significant at the 0.01 level (2-tailed).
The correlation analysis has been presented in the above ...