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Body Mass Index and Cholesterol and Uric Acid Levels in Diabetes

Indeks Massa Tubuh dan Kadar Kolesterol serta Asam Urat pada Penderita Diabetes
Vol. 2 No. 2 (2025): Oktober:
DOI : https://doi.org/10.21070/ijhsm.v2i2.221
Published : Aug 18, 2025

Faradila Nur Aulia (1), Miftahul Mushlih (2)

(1) Program Studi Teknologi Laboratorium Medis Universitas Muhammadiyah Sidoarjo, Indonesia
(2) Program Studi Teknologi Laboratorium Medis Universitas Muhammadiyah Sidoarjo, Indonesia
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Abstract:

General Background: Diabetes mellitus (DM) is a chronic metabolic disorder affecting millions worldwide, often linked to impaired insulin secretion or function. Specific Background: Dyslipidemia and hyperuricemia are frequent metabolic disturbances in DM, and body mass index (BMI) is commonly used to assess nutritional status, yet its role in predicting cholesterol and uric acid levels among DM patients remains unclear. Knowledge Gap: While previous studies suggest possible associations, evidence on whether BMI significantly correlates with cholesterol and uric acid in DM is inconsistent. Aim: This study investigated the relationship between BMI and cholesterol and uric acid levels in DM patients. Results: A cross-sectional study of 30 respondents at Anna Medika Madura General Hospital used CHOD-PAP and Uricase-PAP methods, showing cholesterol levels ranging 136–278 mg/dl, uric acid 3.4–12.1 mg/dl, and BMI 18.0–34.5 kg/m². Statistical analysis (Chi-square, p > 0.05) indicated no significant association between BMI and cholesterol or uric acid. Novelty: This study emphasizes that BMI alone is insufficient to predict lipid and uric acid abnormalities in DM patients. Implications: Findings highlight the need for comprehensive metabolic assessment beyond BMI for effective DM management.


Highlights:



  1. No significant link between BMI and cholesterol or uric acid in DM.

  2. BMI values ranged from normal to obese, but metabolic changes varied.

  3. Clinical monitoring of DM requires broader parameters beyond BMI.


Keywords: Diabetes Mellitus, Body Mass Index, Cholesterol, Uric Acid, Cross-Sectional Study

References

[1] A. S. Al-Goblan, M. A. Al-Alfi, and M. Z. Khan, “Mechanism Linking Diabetes Mellitus and Obesity,” Metabolic Syndrome and Obesity: Targets and Therapy, vol. 7, pp. 587–591, 2014, doi: 10.2147/DMSO.S67400.

[2] G. K. Medhi, G. Dutta, P. Borah, M. Lyngdoh, and A. Sarma, “Prevalence of Diabetes and Its Relationship With Body Mass Index Among Elderly People in a Rural Area of Northeastern State of India,” Cureus Journal of Medical Science, vol. 13, no. 1, pp. 1–7, 2021.

[3] A. M. Harahap, A. Ariati, and Z. A. Siregar, “Hubungan Indeks Massa Tubuh dengan Kadar Gula Darah Pada Penderita Diabetes Mellitus di Desa Sisumut, Kecamatan Kotapinang,” Ibnu Sina: Jurnal Kedokteran dan Kesehatan Fakultas Kedokteran Universitas Islam Sumatera Utara, vol. 19, no. 2, pp. 81–86, 2020.

[4] S. Webber, “International Diabetes Federation,” Diabetes Research and Clinical Practice, vol. 102, p. 147–148, 2013.

[5] M. Mushlih, F. K. Sari, H. S. Amin, and S. A. Iknan, “Identification of Molecular Markers for Type 2 Diabetes Mellitus in Sidoarjo, Indonesia,” Journal Tekno Lab, vol. 9, no. 2, pp. 186–191, 2020.

[6] M. Mushlih, F. K. Sari, D. A. Hadie, and S. Ardiyansyah, “Genetic Polymorphism in Individuals With Type II Diabetes Mellitus Using PCR-RAPD in Sidoarjo District,” Journal of Health Science, vol. 14, no. 2, pp. 153–159, 2021.

[7] G. V. Z. Dedoussis, A. C. Kaliora, and D. B. Panagiotakos, “Genes, Diet and Type 2 Diabetes Mellitus: A Review,” Review of Diabetic Studies, vol. 4, no. 1, pp. 13–24, 2007, doi: 10.1900/RDS.2007.4.13.

[8] L. Del Bosque-Plata, E. Martínez-Martínez, M. Á. Espinoza-Camacho, and C. Gragnoli, “The Role of TCF7L2 in Type 2 Diabetes,” Diabetes Journal, vol. 70, no. 6, pp. 1220–1228, 2021, doi: 10.2337/db20-0573.

[9] E. Kurniawaty and B. Yanita, “Faktor-Faktor yang Berhubungan Dengan Kejadian Diabetes Mellitus Tipe II,” Jurnal Majority, vol. 5, no. 2, pp. 27–31, 2016. [Online]. Available: http://juke.kedokteran.unila.ac.id/index.php/majority/article/view/1073

[10] I. Kusumasari, Y. P. Kurniati, Y. A. Romadhon, and I. N. N. Mahmuda, “Hubungan Kadar Glukosa Darah Puasa dan HbA1c Dengan Kadar Asam Urat Pada Pasien Diabetes Mellitus Tipe 2,” in Proceeding Book National Symposium and Workshop Continuing Medical Education XIV, 2021.

[11] I. Saputra, S. Anggraeni, and T. Prasetya, “Hubungan Kadar HbA1c Dengan Kadar Kolesterol Total Pada Penderita Diabetes Mellitus Tipe 2 di Rumah Sakit Pertemina Bintang Amin Husada Bandar Lampung,” Medical Profession Journal of Lampung, vol. 12, no. 2, pp. 347–352, 2022, doi: 10.53089/medula.v12i2.368.

[12] M. Mushlih, “Difference of Red Blood Cell Count (RBC) Levels in Diabetes Mellitus Type II With Ulcers and Without Ulcers,” Jurnal Riset Biologi dan Aplikasinya, vol. 2, no. 1, pp. 6–10, 2020, doi: 10.26740/jrba.v2n1.p6-10.

[13] S. Rahmah, A. Voutama, and S. Sobur, “Sistem Pakar Diagnosis Obesitas Pada Orang Dewasa Menggunakan Metode Backward Chaining,” INTECOMS: Journal of Information Technology and Computer Science, vol. 4, no. 2, pp. 169–177, 2021, doi: 10.31539/intecoms.v4i2.2538.

[14] A. S. Susilo, Z. Zulfian, and I. Artini, “Korelasi Nilai HbA1c Dengan Kadar Kolesterol Total Pada Pasien Diabetes Mellitus Tipe 2,” Jurnal Ilmiah Kesehatan Sandi Husada, vol. 12, no. 2, pp. 640–645, 2020, doi: 10.35816/jiskh.v11i1.262.

[15] J. Tremblay and P. Hamet, “Environmental and Genetic Contributions to Diabetes,” Metabolism: Clinical and Experimental, vol. 100, pp. 1–6, 2019, doi: 10.1016/j.metabol.2019.153952.