Clinical and lifestyle risk determinants of undiagnosed diabetes and pre-diabetes in a blood donor population
DOI:
https://doi.org/10.18203/2320-6012.ijrms20261336Keywords:
Blood donors, Diabetes, PrediabetesAbstract
Background: Diabetes and its related complications constitute a major public health challenge due to their high prevalence, healthcare costs, and associated morbidity and mortality. Therefore, this study aimed to identify clinical and lifestyle factors associated with undiagnosed diabetes and pre-diabetes among blood donors in Bangladesh.
Methods: This cross-sectional study at the department of transfusion medicine, Bangladesh Medical University (BMU), Dhaka, enrolled 135 healthy blood donors aged 18-60 years. Participants were assessed for BMI, physical activity, family history of diabetes, FINDRISC score, and HbA1c, with blood analyzed using an automated analyzer (Capillary 3 Octa/Variant II). Data were analyzed in SPSS 24.0 using Chi-square tests (p<0.05).
Results: Among 135 blood donors, 83% were 25-44 years and 91.1% male. BMI showed 51.8% overweight and 17.8% obese. FINDRISC scores were mainly 7-11 (52.6%) and 12-14 (25.9%). Glycemia: 49.6% normal, 41.5% prediabetic, 8.9% diabetic. Dysglycemia was higher with obesity (41.7%), overweight prediabetes (57.1%), inactivity (p=0.029), and positive family history (73.2-75%; p<0.001). FINDRISC scores correlated with risk, with 58.3% diabetes in the 15-20 group (p<0.001).
Conclusions: Higher BMI, low physical activity, positive family history, and elevated FINDRISC scores are associated with undiagnosed dysglycemia among apparently healthy blood donors.
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References
World Health Organization. Global report on diabetes. Geneva: World Health Organization; 2016. Available at: https://www.who.int/publications/i/item/9789241565257. Accessed on 17 May 2025.
Khan RM, Chua ZJ, Tan JC, Yang Y, Liao Z, Zhao Y. From pre-diabetes to diabetes: diagnosis, treatments and translational research. Medicina. 2019;55(9):546. DOI: https://doi.org/10.3390/medicina55090546
Sicree R. The global burden of diabetes. In: International Diabetes Federation. Diabetes Atlas. Brussels: International Diabetes Federation; 2003.
Rutkowski M, Wojciechowska A, Śmigielski W, Drygas W, Piwońska A, Pająk A, et al. Prevalence of diabetes and impaired fasting glucose in Poland in 2005-2014: results of the WOBASZ surveys. Diabetic Med. 2020;37(9):1528-35. DOI: https://doi.org/10.1111/dme.14333
Atlas D. International diabetes federation. IDF Diabetes Atlas, 7th edn. Brussels, Belgium: International Diabetes Federation. 2015;33(2):3-6.
Rashad B, Hussein NR, Dirbas VH, Naqid IA. Prevalence and determinants of undiagnosed diabetes mellitus among adults in Zakho City, Kurdistan Region, Iraq: a community-based cross-sectional study. Cureus. 2025;17(1). DOI: https://doi.org/10.7759/cureus.77618
Heydari I, Radi V, Razmjou S, Amiri A. Chronic complications of diabetes mellitus in newly diagnosed patients. Int J Diabetes Mellitus. 2010;2(1):61-3. DOI: https://doi.org/10.1016/j.ijdm.2009.08.001
Ogurtsova K, Guariguata L, Barengo NC, Ruiz PL, Sacre JW, Karuranga S, et al. IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res Clin Pract. 2022;183:109118. DOI: https://doi.org/10.1016/j.diabres.2021.109118
Strojek K, Rokicka D, Szymborska-Kajanek A, Wróbel M. Empagliflozin. Results of the EMPA-REG OUTCOME trial. A breakthrough in treatment of type 2 diabetes? Clin Diabetol. 2016;5(3):107-10. DOI: https://doi.org/10.5603/DK.2016.0018
Agyei-Mensah S, de-Graft Aikins A. Epidemiological transition and the double burden of disease in Accra, Ghana. J Urban Health. 2010;87(5):879-97. DOI: https://doi.org/10.1007/s11524-010-9492-y
Jenson A, Omar AL, Omar MA, Rishad AS, Khoshnood K. Assessment of hypertension control in a district of Mombasa, Kenya. Glob Public Health. 2011;6(3):293-306. DOI: https://doi.org/10.1080/17441692.2010.510478
Pasnoor M, Dimachkie MM, Kluding P, Barohn RJ. Diabetic neuropathy part 1: overview and symmetric phenotypes. Neurol Clin. 2013;31(2):425. DOI: https://doi.org/10.1016/j.ncl.2013.02.004
Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V, Indian Diabetes Prevention Programme (IDPP). The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006;49(2):289-97. DOI: https://doi.org/10.1007/s00125-005-0097-z
Young TK, Mustard CA. Undiagnosed diabetes: does it matter? Cmaj. 2001;164(1):24-8.
Rashad BH, Abdi BA, Naqid IA, Hussein NR, Ibrahim ZA, Rashad JA, et al. Risk factors associated with poor glycemic control in patients with type two diabetes mellitus in Zakho city. J Contemp Med Sci. 2021;7(3):167-70. DOI: https://doi.org/10.22317/jcms.v7i3.970
Mohammed LY, Jamal SA, Hussein NR, Naqid IA. The prevalence of vitamin D deficiency and associated risk factors among general populations in Duhok Province, Kurdistan region, Iraq. J Contemp Med Sci. 2021;7(6):330-3. DOI: https://doi.org/10.22317/jcms.v7i6.1073
Rashad BH, Abdi BA, Naqid IA, Hussein NR, Mosa AA, Dawoud LH, et al. False beliefs about diabetes mellitus in the Kurdistan region of Iraq: a population-based study. Galician Med J. 2023;30(3):E202331. DOI: https://doi.org/10.21802/gmj.2023.3.1
Singh AK, Shivhare A, Mohan Y, Bharati JK, Singh N. Retrospective analysis of whole blood donor demographics at a rural University in India. Bioinformation. 2025;21(5):952-6. DOI: https://doi.org/10.6026/973206300210952
Parvin F, Dipta TF, Tarin TM, Aleem MA, Akter Z, Reshma JF, et al. The Frequency of ABO and Rhesus Blood groups among blood donor-Experience in a Tertiary care Hospital at Dhaka, Bangladesh. Haematol J Bangladesh. 2025;9(1):03-8. DOI: https://doi.org/10.37545/haematoljbd2025137
Choudhury P, Chakrabarti JS, Chowdhury PS. Frequency and distribution of blood groups in tribal blood donors of Tripura. J Med Soc. 2016;30(3):158-61. DOI: https://doi.org/10.4103/0972-4958.191181
Marić I. Donor health beyond donation: cardiovascular risk factors in blood donor populations. A cross-sectional study. Blood Transfus. 2025.
Murphy EL, Schlumpf K, Wright DJ, Cable R, Roback J, Sacher R, et al. BMI and obesity in US blood donors: a potential public health role for the blood centre. Public Health Nutr. 2012;15(6):964-71. DOI: https://doi.org/10.1017/S1368980011003405
Samad NA, Yong PW, Mahendran K. Routine diabetes screening in blood donation campaigns. Malays J Pathol. 2015;37(2):137-40.
Anghebem-Oliveira MI, Costa CD, Baldanzi GR, Schmitt-Mansur JC, Picheth G, Rego FG. The blood bank for diabetes screening: a feasible alternative? Clin Lab. 2017;63(1):21-6. DOI: https://doi.org/10.7754/Clin.Lab.2016.160314
Tura FA, Mumu KF, Huda SA, Sharmin Z, Dutta S, Ferdaus F. Characterizing the multifactorial risk landscape of diabetes: a cross-sectional study of behavioral and genetic determinants. Bangladesh J Food Nutr. 2025;2(2):13-21. DOI: https://doi.org/10.70945/bjfn.2025.v02i02.024
National Institute of Diabetes and Digestive and Kidney Diseases. Risk factors for diabetes. NIDDK- National Institute of Diabetes and Digestive and Kidney Diseases; 2025. Available from: https://www.niddk.nih.gov/health-information/professionals/clinical-tools-patient-management/diabetes/game-plan-preventing-type-2-diabetes/prediabetes-screening-how-why/risk-factors-diabetes. Accessed on 22 February 2026.
Martin E, Ruf E, Landgraf R, Hauner H, Weinauer F, Martin S. FINDRISK questionnaire combined with HbA1c testing as a potential screening strategy for undiagnosed diabetes in a healthy population. Horm Metab Res. 2011;43(11):782-7. DOI: https://doi.org/10.1055/s-0031-1286333
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