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The Impact of Hypertension and Obesity on the Risk of Diabetes Mellitus among Indonesian Urban Workers

*Mahmudah Mahmudah orcid  -  Division Population Biostatistics, Faculty of Public Health, Universitas Airlangga, Indonesia
Nailul Izza orcid scopus  -  Research Center for Public Health and Nutrition, National Research and Innovation Agency, Indonesia
Lely Indrawati orcid scopus  -  Research Center for Public Health and Nutrition, National Research and Innovation Agency, Indonesia
Astridya Paramita orcid  -  Research Center for Public Health and Nutrition, National Research and Innovation Agency, Indonesia
Diah Indriani orcid  -  Division Population Biostatistics, Faculty of Public Health, Universitas Airlangga Surabaya, Indonesia
Open Access Copyright (c) 2025 by the Authors, Published by Department of Nursing, Faculty of Medicine, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

Background: Diabetes mellitus (DM) is a non-communicable disease (NCD) with high morbidity rates and is the third leading cause of death in Indonesia. The number of diabetes sufferers aged 20–79 years continues to increase: in 2013, there were around 9.1 million cases, and by 2021, this had risen to 19.5 million. Many risk factors contribute to the development of diabetes.

Purpose: This study aimed to examine the impact of hypertension and obesity on the occurrence of DM among workers in urban areas of Indonesia.

Methods: The study used secondary health status data obtained from the 2018 Basic Health Survey conducted by the Ministry of Health Research and Development Agency, using a cross-sectional approach. The participants consisted of 15,745 urban adults with working status, aged 15–64 years, who underwent blood glucose examination. The correlation between variables was analyzed using a multivariate logistic regression test.

Results: The study showed that 14.8% of DM patients also had hypertension, and 14.9% were obese. The percentage of women with diabetes increased with age, particularly affecting informal workers more frequently. Hypertension, central obesity (aOR = 1.7; 95% CI: 1.5–1.9), smoking (aOR = 0.6; 95% CI: 0.5–0.7), and age (aOR = 8.9; 95% CI: 5.2–15.1) were identified as significant factors contributing to the worsening of DM. However, education, physical activity, consumption of fruits and vegetables, and employment had no discernible impact.

Conclusion: Hypertension and obesity significantly increased the risk of worsening DM in individuals. It is recommended that companies collaborate with Posbindu for NCDs to regularly monitor blood pressure, blood sugar, and measure the height and weight of workers.

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Keywords: Diabetes mellitus; hypertension; obesity; urban worker

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  1. Al-Goblan, A. S., Al-Alfi, M. A., & Khan, M. Z. (2014). Mechanism linking diabetes mellitus and obesity. Diabetes, Metabolic Syndrome and Obesity, 7, 587–591. https://doi.org/10.2147/DMSO.S67400
  2. Ali, N., Ahmed, S., Mahmood, S., Trisha, A. D., & Mahmud, F. (2023). The prevalence and factors associated with obesity and hypertension in university academic staff: a cross-sectional study in Bangladesh. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-34574-1
  3. Anjajo, E. A., Workie, S. B., Tema, Z. G., Woldegeorgis, B. Z., & Bogino, E. A. (2023). Determinants of hypertension among diabetic patients in southern Ethiopia: a case-control study. BMC Cardiovascular Disorders, 23(1), 1–11. https://doi.org/10.1186/s12872-023-03245-4
  4. Asogwa, O. A., Boateng, D., Marzà-Florensa, A., Peters, S., Levitt, N., Van Olmen, J., & Klipstein-Grobusch, K. (2022). Multimorbidity of non-communicable diseases in low-income and middle-income countries: A systematic review and meta-analysis. BMJ Open, 12(1), 1–16. https://doi.org/10.1136/bmjopen-2021-049133
  5. Bi, Y., Wang, L., Xu, Y., Jiang, Y., He, J., Zhang, M., Zhou, M., Li, Y., Xu, M., Lu, J., Wang, T., Ding, L., Dai, M., Zhang, D., Chen, C. S., Lai, S., Wang, W., Wang, L., & Ning, G. (2016). Diabetes-related metabolic risk factors in internal migrant workers in China: A national surveillance study. The Lancet Diabetes and Endocrinology, 4(2), 125–135. https://doi.org/10.1016/S2213-8587(15)00366-6
  6. Corwin, E. J. (2008). Pankreas dan Diabetes Melitus (B. S. D. E. J. C. Patofisiologi (ed.); 3rd ed.)
  7. Czech, M. P. (2017). Insulin action and resistance in obesity and type 2 diabetes. Nature Medicine, 23(7), 804–814. https://doi.org/10.1038/nm.4350
  8. De Boer, I. H., Bangalore, S., Benetos, A., Davis, A. M., Michos, E. D., Muntner, P., Rossing, P., Zoungas, S., & Bakris, G. (2017). Diabetes and hypertension: A position statement by the American diabetes association. Diabetes Care, 40(9), 1273–1284. https://doi.org/10.2337/dci17-0026
  9. Directorate General of Disease Prevention and Control. (2016). Guide to implementing World Diabetes Day 2016: EYES ON. Directorate General of Disease Prevention and Control, Ministry of health Republic of Indonesia
  10. Huda, S. A. (2016). The relationship between blood glucose levels with human blood pressure In RW 03 Kebayoran Lama Village, South Jakarta. BIOEDUKASI (Jurnal Pendidikan Biologi), 7(2), 144–152. https://doi.org/10.24127/bioedukasi.v7i2.617
  11. Indonesian Ministry of Health. (2019). RISKESDAS national report 2018. In National Institute of Health Research and Development (p. 674)
  12. Indrawati, Lely; Nainggolan, Olwin; Kristanto, Yudi A.; Paramita, Astridya; Wurisastuti, Tri; Kusrini, I. (2021). Portrait of workers’ health in Indonesia (D. hapsari; S. Tjandrarini (ed.); First). Nas Media Pustaka
  13. International Diabetes Federation. (2019). IDF Diabetes atlas, 9th edition. https://diabetesatlas.org/idfawp/resource-files/2019/07/IDF_diabetes_atlas_ninth_edition_en.pdf
  14. International Diabetes Federation. (2021). IDF Diabetes Atlas 10th Edition. In Diabetes Research and Clinical Practice (Vol. 10). https://doi.org/10.1016/j.diabres.2013.10.013
  15. International Health Metrics Monitoring and Evaluation (IHME). (2019). Indonesia 2019: What causes the most deaths (Vol. 6736, Issue 20, pp. 1–9). https://doi.org/https://doi.org/10.1016/S0140-6736(20)30925-9
  16. Isnaini, N., & Ratnasari, R. (2018). Risk factors was affects of diabetes mellitus type 2. Jurnal Kebidanan Dan Keperawatan Aisyiyah, 14(1), 59–68. https://doi.org/10.31101/jkk.550
  17. Jiang, L., Chang, J., Ziogas, A., Deapen, D., Reynolds, P., Bernstein, L., & Anton-Culver, H. (2019). Secondhand smoke, obesity, and risk of type II diabetes among California teachers. Annals of Epidemiology, 32, 35–42. https://doi.org/10.1016/j.annepidem.2019.01.011
  18. Julianti, I. M. D. (2021). The relationship between blood sugar levels with blood pressure on the patient type II diabetes melitus [Universitas Wijaya Kusuma Faculty of Medicine Surabaya]. https://erepository.uwks.ac.id/9185/
  19. Kabosu, R. A. S., Adu, A. A., & Hinga, I. A. T. (2019). Faktor risiko kejadian diabetes melitus tipe dua di RS Bhayangkara Kota Kupang. Timorese Journal of Public Health, 1(1), 11–20. https://doi.org/10.35508/tjph.v1i1.2122
  20. Kholifah, S. H., Budiwanto, S., & Katmawanti, S. (2020). Hubungan antara sosioekonomi, obesitas dan riwayat Diabetes Melitus (DM) dengan kejadian hipertensi di wilayah Puskesmas Janti Kecamatan Sukun Kota Malang. Jurnal Penelitian Dan Pengembangan Kesehatan Masyarakat Indonesia, 1(2), 157–165. https://doi.org/https://doi.org/10.15294/jppkmi.v1i2.40323
  21. Kurniawaty, E., & Yanita, B. (2016). Risk factor related type 2 Diabetes Mellitus Evidance. Majority: Medical Journal of Lampung University, 5(2), 27–31. https://juke.kedokteran.unila.ac.id/index.php/majority/article/view/1073
  22. Lailler, G., Fuentes, S., Kab, S., Piffaretti, C., Guion, M., Czernichow, S., Cosson, E., & Fosse-Edorh, S. (2023). Prevalence and risk factors associated with prediabetes and undiagnosed diabetes in France: The national CONSTANCES cohort. Diabetes Epidemiology and Management, 10. https://doi.org/10.1016/j.deman.2022.100121
  23. Lodhi, T. I. (2021). Diabetes Mellitus in Older Women. Clinics in Geriatric Medicine, 37(4), 491–507. https://doi.org/10.1016/j.cger.2021.06.003
  24. Marthias, T., Anindya, K., Ng, N., McPake, B., Atun, R., Arfyanto, H., Hulse, E. S. G., Zhao, Y., Jusril, H., Pan, T., Ishida, M., & Lee, J. T. (2021). Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: A population-based panel data analysis study. BMJ Open, 11(2), 1–13. https://doi.org/10.1136/bmjopen-2020-041870
  25. Niu, K., Lyu, Q., Zhang, S., Wang, C., Mao, Z., Cui, S., Gu, R., & Li, L. (2023). The dose-response relationship of fruit and vegetable intake and risk of type 2 diabetes among rural China: The Henan Rural Cohort study. Primary Care Diabetes, 17(2), 161–167. https://doi.org/10.1016/j.pcd.2023.01.012
  26. Paleva Rheza. (2019). Insulin resistance mechanisms related to obesity. Jurnal Ilmiah Kesehatan Sandi Husada, 10(2), 354–358. https://doi.org/10.35816/jiskh.v10i2.190
  27. Perkumpulan Endokrinologi Indonesia. (2021). Pedoman pengelolaan dan pencegahan diabetes melitus tipe 2 dewasa di Indonesia 2021. In PB Perkeni
  28. Poorolajal, J., Farbakhsh, F., Mahjub, H., Bidarafsh, A., & Babaee, E. (2016). How much excess body weight, blood sugar, or age can double the risk of hypertension? Public Health, 133, 14–18. https://doi.org/10.1016/j.puhe.2015.10.014
  29. Pratama Putra, I. D. G. I., Wirawati, I. A. P., & Mahartini, N. N. (2019). Hubungan kadar gula darah dengan hipertensi pada pasien diabetes mellitus tipe 2 di RSUP Sanglah. Intisari Sains Medis, 10(3), 797–800. https://doi.org/10.15562/ism.v10i3.482
  30. Sari, G. P., Chasani, S., Pemayun, T. G. D., Hadisaputro, S., & Nugroho, H. (2017). Faktor-faktor yang berpengaruh terhadap terjadinya hipertensi pada penderita diabetesmelitus tipe II (studi di wilayah Puskesmas Kabupaten Pati). Jurnal Epidemiologi Kesehatan Komunitas, 2(2), 54–61. https://doi.org/https://doi.org/10.14710/jekk.v2i2.3996
  31. Seo, D. C., Choe, S., & Torabi, M. R. (2017). Is waist circumference ≥ 102/88 cm better than Body Mass Index ≥ 30 to predict hypertension and diabetes development regardless of gender, age group, and race/ethnicity? Meta-analysis. Preventive Medicine, 97(2017), 100–108. https://doi.org/10.1016/j.ypmed.2017.01.012
  32. Sulistyorini, E., Noviati, T. D., Zainul, M., & Hartono, I. S. (2023). Konsumsi buah dan sayur dan kejadian diabetes melitus pada usia produktif. JKM : Jurnal Kesehatan Mahardika, 10(1), 8–13. https://doi.org/10.54867/jkm.v10i1.146
  33. Tesfaye, B., Alebel, A., Gebrie, A., Zegeye, A., Tesema Leshargie, C., Ferede, A., Abera, H., & Alam, K. (2019). Diabetes Mellitus and Its Association with Hypertension in Ethiopia: A Systematic Review and Meta-Analysis. Diabetes Research and Clinical Practice, 156, 107838. https://doi.org/10.1016/j.diabres.2019.107838
  34. Ugahari, L. E., Mewo, Y. M., & Kaligis, S. H. M. (2016). Gambaran kadar glukosa darah puasa pada pekerja kantor. Jurnal E-Biomedik, 4(2). https://doi.org/10.35790/ebm.4.2.2016.14616
  35. World Health Organization. (2015). Noncommunicable diseases (WHO, 2015). In World Health Organisation. https://www.who.int/health-topics/noncommunicable-diseases#tab=tab_1%0Ahttp://www.who.int/mediacentre/factsheets/fs355/en/

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