The Relationship of Risk Factors to Incidence Prediabetes Young Age Groups
Abstract
Prediabetes is increasingly prevalent among young adults, presenting a critical opportunity for early intervention to prevent the onset of type 2 diabetes and associated cardiovascular complications. This study investigates the association between selected lifestyle-related risk factors and prediabetes incidence among undergraduate medical students. A total of 50 students from Diponegoro University (cohorts 2021 and 2022) were enrolled through purposive and random sampling methods. Clinical assessments included fasting blood glucose and 2-hour oral glucose tolerance tests, analyzed using the hexokinase method. Data on obesity (body mass index), sleep quality (Pittsburgh Sleep Quality Index), physical activity (International Physical Activity Questionnaire–Short Form), and family history of diabetes were collected through validated instruments. The prevalence of prediabetes was significantly higher among students with obesity (p < 0.001), poor sleep quality (p = 0.048), low physical activity (p = 0.005), and a family history of diabetes (p = 0.006). Multivariate analysis identified obesity as the most influential independent predictor (OR 7.30, 95% CI: 1.61–33.20, p = 0.010). These findings highlight the urgent need for preventive strategies targeting modifiable risk factors in young populations. Interventions focusing on healthy weight management, regular physical activity, and sleep hygiene may play a pivotal role in mitigating early metabolic risk
Keywords: Prediabetes, Young Adults, Sleep Quality, Physical Activity, Medical Students
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Amelia, R., Harahap, J., Harahap, N. S., Wijaya, H., Ariga, R. A., Fujiati, I. I., & Rusdiana, R. (2020). Effect of sleep quality on blood glucose level of type 2 diabetes mellitus patients in Medan, Indonesia. Open Access Macedonian Journal of Medical Sciences, 8(E), 574–577. https://doi.org/10.3889/oamjms.2020.5324
Andes, L. J., Cheng, Y. J., Rolka, D. B., Gregg, E. W., & Imperatore, G. (2020). Prevalence of prediabetes among adolescents and young adults in the United States, 2005-2016. JAMA Pediatrics, 174(2), e194498–e194498. https://doi.org/10.1001/jamapediatrics.2019.4498
Andriani, R. N., Fitriadi, Y., Danawati, C. W., Koesnanto, H., & Ikhsan, R. (2022). Analysis of prediabetes risk factors at primary health care centers. Review of Primary Care Practice and Education (Kajian Praktik Dan Pendidikan Layanan Primer), 5(2), 52–56. https://doi.org/10.22146/rpcpe.74552
Budiastutik, I., Kartasurya, M. I., Subagio, H. W., & Widjanarko, B. (2022). High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross‐Sectional Study. Journal of Obesity, 2022(1), 4851044. https://doi.org/10.1155/2022/4851044
Chai, Y., Liu, Y., Yang, R., Kuang, M., Qiu, J., & Zou, Y. (2022). Association of body mass index with risk of prediabetes in Chinese adults: A population‐based cohort study. Journal of Diabetes Investigation, 13(7), 1235–1244. https://doi.org/10.1111/jdi.13783
Chattu, V. K., Chattu, S. K., Burman, D., Spence, D. W., & Pandi-Perumal, S. R. (2019). The interlinked rising epidemic of insufficient sleep and diabetes mellitus. Healthcare, 7(1), 37. https://doi.org/10.3390/healthcare7010037
Ghoraba, M., Shiddo, O., Almuslmani, M., Jallad, I., Khan, A., Maranan, G., Alharbi, M., & Alsaygh, A. (2016). Prevalence of prediabetes in family and community medicine department, security forces hospital, Riyadh, Saudi Arabaia. Int J Med Sci Public Health, 5(777), 10–5455. https://doi.org/10.5455/ijmsph.2016.11122015277
Ghorbani, A., Esmailzadehha, N., Mohammadpoorasl, A., & Ziaee, A. (2015). Association of sleep quality and waking time with prediabetes: The qazvin metabolic diseases study, Iran. Sleep Disorders, 2015(1), 480742. https://doi.org/10.1155/2015/480742
Han, C., Song, Q., Ren, Y., Chen, X., Jiang, X., & Hu, D. (2022). Global prevalence of prediabetes in children and adolescents: A systematic review and meta‐analysis. Journal of Diabetes, 14(7), 434–441. https://doi.org/10.1111/1753-0407.13291
Hyun, M. K., Park, J. H., Kim, K. H., Ahn, S.-K., & Ji, S. M. (2021). Incidence and risk factors for progression to diabetes mellitus: a retrospective cohort study. International Journal of Environmental Research and Public Health, 19(1), 123. https://doi.org/10.3390/ijerph19010123
Kusumaningrum, N. S. D., Hidayati, W., & Muin, M. (2020). Prediabetes and Their Contributed Factors: A Study in Semarang. Jurnal Keperawatan Soedirman, 15(2), 39–48.
Lawal, Y., Bello, F., & Kaoje, Y. S. (2020). Prediabetes deserves more attention: a review. Clinical Diabetes, 38(4), 328–338. https://doi.org/10.2337/cd19-0101
Moonesinghe, R., Beckles, G. L. A., Liu, T., & Khoury, M. J. (2018). The contribution of family history to the burden of diagnosed diabetes, undiagnosed diabetes, and prediabetes in the United States: analysis of the National Health and Nutrition Examination Survey, 2009–2014. Genetics In Medicine, 20(10), 1159–1166. https://doi.org/10.1038/gim.2017.238
Mujiono, M., Udijono, A., & Kusuma, D. (2023). Faktor-faktor yang berhubungan dengan kejadian prediabetes. Media Kesehatan Masyarakat Indonesia, 22(5), 314–318. https://doi.org/10.14710/mkmi.22.5.314-318
Noor, N., Akturk, H. K., Desimone, M., Basina, M., Rioles, N., Rompicherla, S., Haw, J. S., Golden, L., & Ebekozien, O. (2022). 961-P: The effect of obesity on HbA1c among adults with type 1 diabetes: a US based multicenter study. Diabetes, 71(Supplement_1). https://doi.org/10.2337/db22-961-P
Rett, K., & Gottwald-Hostalek, U. (2019). Understanding prediabetes: definition, prevalence, burden and treatment options for an emerging disease. Current Medical Research and Opinion. 35(9), 1529-1534. https://doi.org/10.1080/03007995.2019.1601455
Rezavitawanti, R., & Helda, H. (2024). Central Obesity as A Risk Factor For Prediabetes. Asian Journal of Social and Humanities, 2(9), 2068–2078. https://doi.org/10.59888/ajosh.v2i9.347
Sherwood, Z. (2018). Prediabetes: Definition, diagnostic criteria and management. Journal of Diabetes Nursing, 22(3), 24. https://doi.org/10.1007/s00125-013-3002-1
Tuso, P. (2014). Prediabetes and lifestyle modification: time to prevent a preventable disease. The Permanente Journal, 18(3), 88. https://doi.org/ 10.7812/TPP/14-002
Wagenknecht, L. E., Lawrence, J. M., Isom, S., Jensen, E. T., Dabelea, D., Liese, A. D., Dolan, L. M., Shah, A. S., Bellatorre, A., & Sauder, K. (2023). Trends in incidence of youth-onset type 1 and type 2 diabetes in the USA, 2002–18: results from the population-based SEARCH for Diabetes in Youth study. The Lancet Diabetes & Endocrinology, 11(4), 242–250.
Wagner, R., Thorand, B., Osterhoff, M. A., Müller, G., Böhm, A., Meisinger, C., Kowall, B., Rathmann, W., Kronenberg, F., & Staiger, H. (2013). Family history of diabetes is associated with higher risk for prediabetes: a multicentre analysis from the German Center for Diabetes Research. Diabetologia, 56, 2176–2180.
Willemsen, G., Ward, K. J., Bell, C. G., Christensen, K., Bowden, J., Dalgård, C., Harris, J. R., Kaprio, J., Lyle, R., & Magnusson, P. K. E. (2015). The concordance and heritability of type 2 diabetes in 34,166 twin pairs from international twin registers: the discordant twin (DISCOTWIN) consortium. Twin Research and Human Genetics, 18(6), 762–https://doi.org/771. 10.1017/thg.2015.83
Zhang, H., Guo, Y., Hua, G., Guo, C., Gong, S., Li, M., & Yang, Y. (2024). Exercise training modalities in prediabetes: a systematic review and network meta-analysis. Frontiers in Endocrinology, 15, 1308959. https://doi.org/10.3389/fendo.2024.1308959
DOI: http://dx.doi.org/10.30829/contagion.v7i2.24117
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