The Correlation between Vitamin D Status and Glycosylated Hemoglobin Levels

Abstract

Background: The intricate relationship between Vitamin D levels and glycemic control in individuals with
varying HbA1c levels has been a topic of significant research interest due to its potential implications for
diabetes management. This study aimed to explore the association between Vitamin D classifications and
HbA1c levels across different glycemic states and genders.
Methodology:
Using ANOVA analysis, we examined HbA1c levels across four Vitamin D classification groups (Vit D 1,
Vit D 2, Vit D 3, Vit D 4). Pairwise comparisons were conducted, and glycemic situations (normoglycemic,
prediabetic, and diabetic) were analyzed across these Vitamin D groups. Simple linear regression analysis
was employed to assess the correlation between Vitamin D and HbA1c levels. Gender-based differences
were also explored within each Vitamin D and HbA1c classification.
Results:
The ANOVA analysis revealed significant differences in HbA1c levels across Vitamin D groups (p < 0.05).
Pairwise comparisons indicated substantial variations between several groups. While a weak correlation was
found between Vitamin D and HbA1c levels (R Square = 0.044), subsequent gender-specific analysis
showed no significant differences within each Vitamin D and HbA1c classification
Discussion: The results highlight the impact of Vitamin D classifications on glycemic control, emphasizing
the importance of adequate Vitamin D levels in diabetes management. The weak correlation suggests that
while there is a connection between Vitamin D and HbA1c, other factors likely contribute to glycemic
fluctuations. Gender, however, does not seem to influence this relationship significantly, ensuring the
consistency of findings across both male and female participants.
Conclusion: This study underscores the intricate interplay between Vitamin D, HbA1c levels, and glycemic
situations. While Vitamin D exerts a subtle influence on glycemic control, its impact is modulated by various
factors yet to be explored fully. Understanding these complexities is vital for developing personalized
strategies in diabetes care