2.4. Statistical method
All the statistical analysis was done by using Statistical
Package for Social Sciences (SPSS Inc., Chicago, IL) version
20. Number and percentage were used for grouped variables
whereas mean and standard deviation was used for continuous
variables. Responses to all questions of GDMKQ were
recorded in numbers and percentages. Association of demographic
characteristics with knowledge score and glycaemic
level of patients were represented by using Mann Whitney U test (for 2 group variable) and Kruskal Wallis test (for more
than 2 group variables). Bonferroni post hoc adjustment was
done if significant difference was found by using Kruskal
Wallis test. Association between knowledge and FPG was identified
by using Spearman rank correlation. For all the statistical
analysis P value of >0.05 was considered as significant.