Comparison of Random Blood Sugar Level between Obese and Non-Obese Individual and its Association with Obesity Indicators
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Obesity is a primary cause of non-communicable diseases, including diabetes mellitus. Early detection of elevated blood sugar levels (hyperglycemia) is essential for preventing diabetes and reducing undiagnosed casesObjective: This study compares random blood sugar levels between obese and non-obese individuals and assesses the association of random blood sugar with obesity indicators and selected variables.Methods: A cross-sectional study used consecutive sampling. 136 samples were selected, comprising 68 obese and 68 non-obese individuals. Random blood sugar (RBS) and anthropometric measurements were taken using a glucometer (On-call advance), non-stretchable measuring tape (GDMINLO), and weighing machine (LARS-MS810). Chi-square, t-test and spearman correlation tests analyzed associations. ROC curves predicted obesity indicators for hyperglycemia (RBS≥140mg/dl).Results: Mean± S.D of RBS among obese individuals was (120.6±33.7) mg/dl, and among non-obese, it was (118.9±34.5) mg/dl, with no significant difference (P-value 0.272). Family history of chronic illness had a significant positive association with RBS among obese individuals (P-value 0.01). Waist-hip ratio was a better predictor of hyperglycemia (P-value 0.02, AUC- 0.661), followed by waist circumference (P-value 0.01, AUC 0.648).Conclusion: RBS levels do not significantly differ between obese and non-obese individuals. However, RBS is associated with a family history of chronic illness, and the waist-hip ratio is the best predictor of hyperglycemia. Screening camps utilizing cost-effective methods like waist-hip ratio and waist circumference should be conducted for early diabetes detection.
DOI: 10.70397/jbnc.26
Authors: Sushila Yadav, Angur Badhu, Tara Shah, Rambha Sigdel
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407000931
