CORRELATION OF FASTING BLOOD SUGAR LEVEL AND POST PRANDIEL BSL IN CHILDREN OF DIABETES MELLITUS TYPE-1 BELOW AGE OF 16 YEARS IN SOUTHERN PUNJAB
Main Article Content
Keywords
Type 1 Diabetes Mellitus; Fasting Blood Sugar; Postprandial Blood Sugar; Pediatric Diabetes; Glycemic Control; Southern Punjab.
Abstract
Background: Type 1 Diabetes Mellitus affects children and demands close glycemic control to avoid detrimental effects in the long run. FBSL and PPBSL are two indicators of glycemic control, but the association between the variables in children and adolescents with T1DM has not been adequately investigated, especially in Southern Punjab, Pakistan.
Objective: The purpose of the present work is to evaluate the relationship between FBSL and PPBSL in children and adolescents with T1DM from Southern Punjab, taking into account the demographic and clinical characteristics.
Methods: This study was a cross-sectional study on 50 T1DM children and adolescents aged between 5 and 16 years. FBSL and PPBSL were determined using calibrated glucometers in the fasting state and two hours after eating. Additional information included patient age, gender, ethnicity, insulin therapies, and patients’ SES. Pearson or Spearman correlation analyses were used to compare the correlation of FBSL and PPBSL with HbA1c levels.
Results: The observations made from this study show that FBSL is highly and positively correlated with PPBSL with a coefficient of 0.68 at p < 0.001 suggesting that high fasting blood levels predict postprandial hyperglycemia. FBSL and PPBSL were moderately and positively correlated with HbA1c, r = 0.55, r = 0.60, respectively p < 0.01, indicating that both values has an impact in long term glycemic control. Overall FBSL and PPBSL were slightly lower in the insulin pump groups compared with those receiving insulin injections indicating the advantage of continuous insulin delivery.
Conclusion: This study also shows that FBSL and PPBSL have a strong positive relationship in patients with T1DM, lending further credibility to the importance of the measurement of both variables to attain optimum glycemic control in children. Socio demographic variables may influence glycemic control, thus the need for targeted diabetes self-management/education interventions in Southern Punjab.
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