Abstract
Introduction. Hypertension and diabetes are among the most prevalent non-communicable diseases (NCDs) and contribute substantially to premature morbidity and mortality worldwide. Early identification of factors associated with these conditions is essential for developing effective prevention strategies. However, evidence regarding factors associated with hypertension and diabetes among university students and staff in Indonesia remains limited. This study aimed to identify factors associated with hypertension and diabetes among university students and staff.
Methods. A cross-sectional study was conducted among 503 students, lecturers, and administrative staff at a private university in Yogyakarta, Indonesia. Data were collected using a structured online questionnaire to obtain information on socio-demographic characteristics, smoking status, physical activity, fruit and vegetable consumption, body mass index (BMI), and self-reported physician-diagnosed hypertension and diabetes. Fisher’s exact test was performed for bivariate analysis, followed by multivariable logistic regression to identify factors independently associated with hypertension and diabetes.
Results. The prevalence of self-reported hypertension and diabetes was 6.6% and 1.8%, respectively. Participants aged 46–65 years had significantly higher odds of hypertension than those aged 17-45 years (adjusted odds ratio [AOR]=3.23; 95% confidence interval [CI]: 1.11-9.43; p=0.032). Fruit and vegetable consumption was also independently associated with hypertension (AOR=2.56; 95% CI: 1.11-5.90; p=0.027). For diabetes, age (AOR=35.37; 95% CI: 3.07-407.40; p=0.004) and sex (AOR=0.16; 95% CI: 0.03-0.89; p=0.037) remained independently associated with the outcome.
Conclusion. Hypertension and diabetes mellitus among university students and staff were independently associated with selected demographic and lifestyle-related factors. Identifying individuals at increased risk may facilitate targeted health promotion, routine screening, and preventive interventions to reduce the burden of NCDs in university populations.
References
Luciani S, Nederveen L, Martinez R, Caixeta R, Chavez C, Sandoval RC, Severini L, Cerón D, Gomes AB, Malik S, Gomez F, Ordunez P, Maza M, Monteiro M, Hennis A. Noncommunicable diseases in the Americas: a review of the Pan American Health Organization’s 25-year program of work. Rev Panam Salud Publica 2023;47:e13. https://doi.org/10.26633/RPSP.2023.13.
WHO. Invisible numbers: the true extent of noncommunicable diseases and what to do about them World Health Organisation. 2022. Available at: https://iris.who.int/items/4d21314f-587c-43d9-807e-4460dbd441e4. Accessed on: 05/09/2026.
Ministry of Health Republic of Indonesia. Laporan RISKESDAS Tahun 2018. Jakarta: Badan Penelitian dan Pengembangan Kesehatan (Balitbangkes) 2019.
WHO. “Best buys” and other recommended interventions for the prevention and control of noncommunicable diseases. World Heal Organ 2017;17:28. Available at: http://apps.who.int/iris/bitstream/10665/259232/1/WHO-NMH-NVI-17.9-eng.pdf?ua=1. Accessed on: 05/09/1016.
WHO. Global report on hypertension The race against a silent killer. Vol. 01. 2023. Available at: https://www.who.int/publications/i/item/9789240081062. Accessed on: 05/09/2026.
Budreviciute A, Damiati S, Sabir DK, Onder K, Schuller-Goetzburg P, Plakys G, Katileviciute A, Khoja S, Kodzius R. Management and Prevention Strategies for Non-communicable Diseases (NCDs) and Their Risk Factors. Front Public Health 2020;8:574111. https://doi.org/10.3389/fpubh.2020.574111.
Ahmed MT, Jadhav J, Sobagaiah RT. Assessment of risk factors of non- communicable diseases among healthcare workers in Nelamangala: a cross sectional study. Int J Community Med Public Heal 2018;5:745.
Mnatzaganian G, Lee CMY, Cowen G, Boyd JH, Varhol RJ, Randall S, Robinson S. Sex disparities in the prevalence, incidence, and management of diabetes mellitus: an Australian retrospective primary healthcare study involving 668,891 individuals. BMC Med 2024;22:475. https://doi.org/10.1186/s12916-024-03698-0
Sithey G, Li M, Thow AM. Strengthening non-communicable disease policy with lessons from Bhutan: linking gross national happiness and health policy action. J Public Health Policy 2018;39:327-42. https://doi.org/10.1057/s41271-018-0135-y
Tian Y, Li C, Shilko TA, Sosunovsky VS, Zhang Y. The relationship between physical activity and diabetes in middle-aged and elderly people. Medicine (Baltimore) 2023;102:e32796. https://doi.org/10.1097/MD.0000000000032796.
Rasesemola RM, Mmusi-Phetoe RM, Havenga Y. Social determinants of health in non-communicable diseases prevention policies in South Africa. Curationis 2023;46:e1-e8. https://doi.org/10.4102/curationis.v46i1.2387.
Caldas MP. Research design: qualitative, quantitative, and mixed methods approaches. Rev Adm Contemp 2009;7:223-3. https://doi.org/10.1590/S1415-65552003000100015.
Creswell JW. Pengantar Penelitian Mixed Methods. Cetakan 1. Malini H, ed. Yogyakarta: Pustaka Pelajar 2020.
Swarjana IK. Metodologi Penelitian Kesehatan (Edisi Revisi). Yogyakarta: ANDI 2016, pp. 1-216.
World Health Organization RO for the WP, Obesity IA for the S of, Force IOT. The Asia-Pacific Perspective: Redefining Obesity and Its Treatment . Sydney: Health Communications Australia 2000. Available at: https://iris.who.int/handle/10665/206936. Accessed on: 05/09/2026.
Sugiyono. Metode Penelitian Kuantitatif, Kualitatif, R&D. 6th ed. Bandung: Alfabeta 2024.
Sugiyono. Metode Penelitian Kuantitatif. Bandung: Penerbit Alfabeta 2019.
Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. 3rd ed. Wiley 2013. Available at: https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781118548387.fmatter?src=getftr&utm_source=mendeley&getft_integrator=mendeley. Accessed on: 04/05/2026.
WHO. Noncommunicable diseases. 2023;1. Available at: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed on: 05/09/2026.
Ministry of Health Republic of Indonesia. Laporan Riskesdas 2018 Nasional. Jakarta: Kemenkes RI 2019, p. 674.
Baek TH, Lee HY, Lim NK, Park HY. Gender differences in the association between socioeconomic status and hypertension incidence: the Korean Genome and Epidemiology Study (KoGES). BMC Public Health 2015;15:852. https://doi.org/10.1186/s12889-015-2175-6.
Rothman KJ, Greenland S, Lash TL. Modern Epidemiology. 4th ed. Philadelphia: Wolters Kluwer 2021.
Li X, Ariell N, Braakhuis A, Li Z, Roy R. How do they eat: a digital diet ethnography of dietary behavior determinants among New Zealand and Chinese university students. Front Nutr 2026;12:1729437. https://doi.org/10.3389/fnut.2025.1729437.
Hartley L, Igbinedion E, Holmes J, Flowers N, Thorogood M, Clarke A, Stranges S, Hooper L, Rees K. Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases. Cochrane Database Syst Rev 2013;2013:CD009874. https://doi.org/10.1002/14651858.CD009874.
Al-Goblan AS, Al-Alfi MA, Khan MZ. Mechanism linking diabetes mellitus and obesity. Diabetes Metab Syndr Obes 2014;7:587-91. https://doi.org/10.2147/DMSO.S67400.
Al-Saeed AH, Constantino MI, Molyneaux L, D’Souza M, Limacher-Gisler F, Luo C, An Inverse Relationship Between Age of Type 2 Diabetes Onset and Complication Risk and Mortality: The Impact of Youth-Onset Type 2 Diabetes. Diabetes Care 2016;39:823-9. https://doi.org/10.2337/dc15-0991.
Baker P. 1 in 10: the diabetes crisis in men. Trends Urol Men’s Heal 2018;9:25-8. Available at: https://wchh.onlinelibrary.wiley.com/doi/10.1002/tre.627. Accessed on: 05/09/2026.
Siddiqui S, Zainal H, Harun SN, Sheikh Ghadzi SM, Ghafoor S. Gender differences in the modifiable risk factors associated with the presence of prediabetes: A systematic review. Diabetes Metab Syndr 2020;14:1243-52. https://doi.org/10.1016/j.dsx.2020.06.069.
World Health Organization. Hypertension fact sheet. 2023. Available at: https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed on: 05/09/2026.
Li Y, Fan X, Wei L, Yang K, Jiao M. The impact of high-risk lifestyle factors on all-cause mortality in the US non-communicable disease population. BMC Public Health 2023;23:1-9. https://doi.org/10.1186/s12889-023-15319-1.
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008;61:344-9. https://doi.org/10.1016/j.jclinepi.2007.11.008.
