Application of Profile Analysis to the Fasting Blood Sugar levels of diabetics patients

Abstract

The main purpose of the study was to investigate the fasting of blood sugar (FBS) levels fluctuation over time and the effect of some plausible factors on this change for Diabetic’s patients on treatment and Balanced Diet (BD). To this end, we analyzed the FBS levels in both gender and age groups by using profile analysis to study the patterns of their changes. In this study, we used Retrospective data from Rwanda Diabetics Association (RDA) containing patient’s FBS level, gender and age data, regularly obtained every three months. The MANOVA test of parallelism on treatment and BD showed at 5% significance level that the profiles in gender and age groups were parallel. The distance between profiles was not significant, but not flat. The analysis revealed that although the treatment remained effective, the trends of FBS levels over time were quadratic in treatments and BD. Furthermore, the rates of FBS change on treatment and BD were a function of time. These models and rates indicated that only treatment have the positive impact on FBS level while the BD has no effect.

Keywords: FBS level, Balanced Diet, trend model