CORRELATION OF FASTING BLOOD SUGAR WITH BMI IN YOUNG ADULTS

Main Article Content

Ms. Shaila M.D.
Ms. Iffath Uzma
Ms. Thejaswini
Dr. Nandini S.

Keywords

Body Mass Index, Fasting Blood Sugar, Young Adults, Insulin Resistance, Metabolic Risk, Obesity, Type 2 Diabetes, Anthropometry.

Abstract

Background
Younger populations are increasingly being impacted by the rising prevalence of non-communicable diseases, especially type 2 diabetes and obesity. While FBS (Fasting Blood Sugar) reflects glucose regulation and can indicate early insulin resistance, BMI (Body Mass Index) is a commonly used indicator of body fat and a predictor of metabolic risk. There is little research on young adults who may seem healthy but are at risk for developing metabolic disorders in the future, despite the fact that the association between BMI and FBS is well established in adults. Timely intervention and the avoidance of long-term health complications depend on the early detection of this association.


Aim
The purpose of this study was to evaluate the relationship between young adults' BMI and FBS levels.


Methods
Eighty young adults between the ages of 18 and 25 participated in a cross-sectional study. Convenience sampling was used to choose participants from a university environment. BMI (kg/m2) was calculated by taking anthropometric measurements, such as height and weight, according to established protocols. Venous blood samples obtained following an overnight fast of at least eight hours were used to measure fasting blood sugar levels. Participants were classified as underweight, normal weight, overweight, or obese based on their BMI values. The direction and strength of the relationship between BMI and FBS were evaluated using Pearson's correlation coefficient. SPSS was used for the statistical analysis, and p < 0.05 was chosen as the significance level.


Results
The participants' mean fasting blood sugar level was 92.4 ± 10.7 mg/dL, and their mean BMI was 24.3 ± 3.5 kg/m². Compared to participants with normal or lower BMI, those who were overweight or obese had higher FBS levels. A moderately positive correlation (r = 0.47), statistically significant (p < 0.001), was found between BMI and FBS. This suggests that FBS levels tend to rise in tandem with an increase in BMI.


Conclusion
According to the study, young adults' fasting blood sugar levels and BMI significantly correlated, indicating that those with higher BMIs are more likely to have impaired glucose metabolism. For lifestyle changes to be implemented and type 2 diabetes and other related metabolic disorders to be prevented, early detection of metabolic changes in this age group is crucial. In order to lower future health risks, young adults can benefit from routine BMI and FBS screening.

Abstract 60 | PDF Downloads 17

References

[1] World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. WHO Technical Report Series 894. Geneva: WHO 2000.
[2] Bhurosy T, Jeewon R. Overweight and obesity epidemic in developing countries: a problem with diet, physical activity, or socioeconomic status? Sci World J 2014;2014:964236.
[3] American Diabetes Association. Standards of medical care in diabetes-2024. Diabetes Care 2024;47(Suppl 1):S1-154.
[4] DeFronzo RA, Ferrannini E. Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 1991;14(3):173-94.
[5] Reinehr T. Obesity and related health risks in children and adolescents. Dtsch ArzteblInt 2018;115(39):674-80.
[6] Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics 1998;101(3 Pt 2):518-25.
[7] Wildman RP, Muntner P, Reynolds K, et al. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering. Arch Intern Med 2008;168(15):1617-24.
[8] Prentice AM. The emerging epidemic of obesity in developing countries. Int J Epidemiol 2006;35(1):93-9.
[9] Kelishadi R. Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev 2007;29(1):62-76.
[10] Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature 2006;444(7121):840-6.
[11] Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet 2005;365(9468):1415-28.
[12] Després JP. Body fat distribution and risk of cardiovascular disease: an update. Circulation 2012;126(10):1301-13.
[13] Morrison JA, Friedman LA, Wang P, et al. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr2008;152(2):201-6.
[14] Weiss R, Dziura J, Burgert TS, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med 2004;350(23):2362-74.
[15] Wildman RP, Muntner P, Reynolds K, et al. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering. Arch Intern Med 2008;168(15):1617-24.
[16] Narayan KMV, Boyle JP, Thompson TJ, et al. Effect of BMI on lifetime risk for diabetes in the U.S. Diabetes Care 2007;30(6):1562-6.
[17] Blüher M. Are metabolically healthy obese individuals really healthy? Eur J Endocrinol 2014;171(6):R209-19.
[18] Reaven GM. Insulin resistance: the link between obesity and cardiovascular disease. Med Clin North Am 2011;95(5):875-92.

Most read articles by the same author(s)