Abstract

Objective: To identify the age-linked tendencies in glucose regulation and evaluate the potential differences in diabetes risk among males and females.
Methodology: In this cross-sectional study, data were collected from 149 participants at Creek General Hospital, Karachi. Correlation analysis was conducted to explore the relationship between age and random blood sugar (RBS) values for the overall sample and within each gender group. Regression analysis was performed to evaluate the collective effect of age and gender on RBS values and to compute the range to which these variables explain the variance in RBS levels.
Results: Pearson correlation coefficient between age and RBS values was 0.210, with a significance level of 0.010, indicating a weak but significant positive relationship. The analysis based on gender showed a non-significant correlation for females (r = -0.071, p=0.634) and a significant positive correlation for males (r = 0.332, p=0.001). The regression model, including age and gender as predictors, was statistically significant (F (2, 146) = 5.874, p=0.004) and explained 7.4% of the variance in RBS values (R² = 0.074).
Conclusion: The age-related increases in RBS values are more prominent in males than in females.

Key words: Random blood sugar, age-related, diabetes, glycemic control.