Correlation between body mass index (BMI) and blood glucose level among people in RMCI Jakarta: A cross-sectional study
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Abstract
Obesity is a condition where an individual's body weight is abnormal (BMI >30), leading to excessive fat accumulation. This condition can induce type 2 diabetes mellitus, which results in abnormal insulin production, causing blood sugar levels to spike. This study aims to determine the strength of the correlation between BMI and blood glucose level using a cross-sectional method. We used bivariate data collection, and Pearson's method to determine the strength of the correlation between these two variables. In this study, data from 102 individuals were collected from people in Reformed Millenium Center Indonesia (RMCI) Jakarta. The correlation between BMI and blood glucose levels with r value 0.82 and significance 2-tailed p-value 0.411. The analysis showed a weak positive relationship, but the correlation is not statistically significant. A suggestion for future research is to use body fat percentage as a reference instead of BMI.
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How to Cite
Yuliawuri, H., Handoko, S. M., Simarmata, A. K. and Wibowo, J. (2024) “Correlation between body mass index (BMI) and blood glucose level among people in RMCI Jakarta: A cross-sectional study”, Science Midwifery, 12(3), pp. 1381-1386. doi: 10.35335/midwifery.v12i3.1642.
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Thummakomma, K., & Rajeswari, K. (2020). Correlation of body mass index to random blood glucose levels of rural population. The Pharma Innovation Journal, 9(3), 171–174.
Wang, L., Yan, N., Zhang, M., Pan, R., Dang, Y., & Niu, Y. (2022). The association between blood glucose levels and lipids or lipid ratios in type 2 diabetes patients: A cross-sectional study. Frontiers in Endocrinology, 13. https://doi.org/10.3389/fendo.2022.969080
Weir, C. B., & Jan, A. (2024). BMI Classification Percentile And Cut Off Points (StatPearls [Internet], Ed.). StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK541070/
World Health Organization. (2023). Diabetes. https://www.who.int/news-room/fact-sheets/detail/diabetes
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Yuliati, S., Sulistiyowati, R., Solikhah, U., & Dhanti, K. R. D. (2022). The Correlation between Blood Glucose Levels, Body Mass Index (BMI), and Age on Prolanis Patients in Baturraden Public Health Care Center II. Science Midwifery, 10(3), 2321–2324. https://doi.org/10.35335/midwifery.v10i3.618
American Diabetes Association. (2022). Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes. Diabetes Care, 45(Supplement_1), S17–S38. https://doi.org/10.2337/dc22-S002
Bakari A.G., A. G., Onyemelukwe G.C., G. C., Sani B.G., B. G., Aliyu I.S., I. S., Hassan S.S., S. S., & Aliyu T.M., T. M. (2006). Relationship between random blood sugar and body mass index in an African population. International Journal of Diabetes and Metabolism, 14(3), 144–145. https://doi.org/10.1159/000497607
BKPK. (2024). Survei Kesehatan Indonesia 2023. https://www.badankebijakan.kemkes.go.id/hasil-ski-2023/
Centers for Disease Control and prevention. (2024). Body Mass Index (BMI). https://www.cdc.gov/healthyweight/assessing/bmi/index.html
Chadt, A., Scherneck, S., Joost, H.-G., & Al-Hasani, H. (2000). Molecular links between Obesity and Diabetes: “Diabesity” (Feingold KR, Anawalt B, & Blackman MR, Eds.). Endotext [Internet].
Chandrasekaran, P., & Weiskirchen, R. (2024). The Role of Obesity in Type 2 Diabetes Mellitus—An Overview. International Journal of Molecular Sciences, 25(3), 1882. https://doi.org/10.3390/ijms25031882
Gastaldelli, A., Abdul Ghani, M., & DeFronzo, R. A. (2021). Adaptation of Insulin Clearance to Metabolic Demand Is a Key Determinant of Glucose Tolerance. Diabetes, 70(2), 377–385. https://doi.org/10.2337/db19-1152
Ge, Q., Li, M., Xu, Z., Qi, Z., Zheng, H., Cao, Y., Huang, H., Duan, X., & Zhuang, X. (2022). Comparison of different obesity indices associated with type 2 diabetes mellitus among different sex and age groups in Nantong, China: a cross-section study. BMC Geriatrics, 22(1), 20. https://doi.org/10.1186/s12877-021-02713-w
Huang, Q., Zou, X., Gao, P., Han, X., Zhou, X., & Ji, L. (2023). How does obesity affect mortality through blood pressure and blood glucose in Chinese and US citizens? Insights from a causal mediation analysis of two large cohorts. Journal of Global Health, 13, 04032. https://doi.org/10.7189/jogh.13.04032
International Diabetes Federation. (2021). IDF Diabetes Atlas. https://www.diabetesatlas.org
Klimontov, V. V., & Semenova, J. F. (2022). Glucose variability in subjects with normal glucose tolerance: Relations with body composition, insulin secretion and sensitivity. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 16(1), 102387. https://doi.org/10.1016/j.dsx.2022.102387
Patel, B. J., Mehta, D. N., Vaghani, A., & Patel, K. (2023). Correlation of Body Mass Index (BMI) with Saliva and Blood Glucose Levels in Diabetic and Non-Diabetic Patients. Journal of Pharmacy and Bioallied Sciences, 15(Suppl 2), S1204–S1207. https://doi.org/10.4103/jpbs.jpbs_159_23
Radhina, A., Sari, M. P., & Jannah, I. F. (2023). The Relationship Between Random Blood Glucose And Total Cholesterol Levels Against Body Mass Index In Residents Of RW 01 Gang Anwar, East Jakarta. Indonesian Journal of Health Science, 3(2a), 381–387. https://doi.org/10.54957/ijhs.v3i2a.500
Ruze, R., Liu, T., Zou, X., Song, J., Chen, Y., Xu, R., Yin, X., & Xu, Q. (2023). Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Frontiers in Endocrinology, 14, 1161521. https://doi.org/10.3389/fendo.2023.1161521
Sepp, E., Kolk, H., Lõivukene, K., & Mikelsaar, M. (2014). Higher blood glucose level associated with body mass index and gut microbiota in elderly people. Microbial Ecology in Health & Disease, 25(0). https://doi.org/10.3402/mehd.v25.22857
Stratton, S. J. (2023). Population Sampling: Probability and Non-Probability Techniques. Prehospital and Disaster Medicine, 38(2), 147–148. https://doi.org/10.1017/S1049023X23000304
Sugiyono. (2018). Metode penelitian kuantitatif (1st ed.). Alfabeta.
Thomas, C. G. (2021). Research Methodology and Scientific Writing. Springer International Publishing. https://doi.org/10.1007/978-3-030-64865-7
Thummakomma, K., & Rajeswari, K. (2020). Correlation of body mass index to random blood glucose levels of rural population. The Pharma Innovation Journal, 9(3), 171–174.
Wang, L., Yan, N., Zhang, M., Pan, R., Dang, Y., & Niu, Y. (2022). The association between blood glucose levels and lipids or lipid ratios in type 2 diabetes patients: A cross-sectional study. Frontiers in Endocrinology, 13. https://doi.org/10.3389/fendo.2022.969080
Weir, C. B., & Jan, A. (2024). BMI Classification Percentile And Cut Off Points (StatPearls [Internet], Ed.). StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK541070/
World Health Organization. (2023). Diabetes. https://www.who.int/news-room/fact-sheets/detail/diabetes
World Health Organization. (2024, March 1). Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
Yuliati, S., Sulistiyowati, R., Solikhah, U., & Dhanti, K. R. D. (2022). The Correlation between Blood Glucose Levels, Body Mass Index (BMI), and Age on Prolanis Patients in Baturraden Public Health Care Center II. Science Midwifery, 10(3), 2321–2324. https://doi.org/10.35335/midwifery.v10i3.618