Aim To assess ten-year risk of diabetes mellitus type 2 (T2DM) using the Finnish Diabetes Risk Score (FINDRISC) in respondents over 18, in Primary Health Centre in Banja Luka. Methods A prospective study was conducted using data from a population with undiagnosed T2DM in Primary Health Centre in Banja Luka. Eligible respondents were those aged 18 to 70 years. Sociodemographic, behavioural and anthropometric variables were those related to the risk models evaluated by FINDRISC. Results Data were collected from 520 individuals, 58.8% female and 41.2% male (p=0.005). A very high risk of developing T2DM in the next ten years was found in 5.6% females and 3.7% males. A high risk was found in 12.4% females and 15.9% males, 34.2% respondents ≥ 65 years, 28.8% with body mass index >30 kg/m 2 , 26.6% who were not practicing physical activity (p=0.000), 24.0% who took antihypertensive drugs, 42.3% who were diagnosed with impaired glycaemia, 30.4% and 22.9% respondents whose parents and distant relatives, respectively, had T2DM. A moderate risk occurred in 31.4% females with waist circumference >88 cm. Half (50%) males with waist circumference >102 cm and 33.2% respondents who were not eating fruits and vegetables every day had a slightly increased risk of developing T2DM (p<0.05). Conclusion The FINDRISC may be used as a tool which would help general practitioners in everyday work, to detect patients with T2DM risk factors and to encourage them to change life style towards healthy habits.
Khunti K, Mani H, Achana F, Cooper N, Gray L, Davies M. Systematic review and meta-analysis of response rates and diagnostic yield of screening for type 2 diabetes and those at high risk of diabetes. PloS One. 2015;135702.
2.
Kolb H, Martin S. Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes. BMC Med. 2017;131.
3.
Costa B, Barrio F, Cabré J, Piñol J, Cos X, Solé C, et al. Delaying progression to type 2 diabetes among high-risk Spanish individuals is feasible in real-life primary healthcare settings using intensive lifestyle intervention. Diabetologia. 2012;1319–28.
4.
Diego G, Laura A, Miguel A, Leonardo F, Paul A, Patricio L. Evaluation of the Finnish Diabetes Risk Score to predict type 2 diabetes mellitus in a Colombian population: A longitudinal observational study. Journal ListWorld J Diabetes. 2015;1337–44.
5.
Grujić R, Grabež V, Petković M, Novaković V, Prtina B, A. Abstract book Treći međunarodni kongres Ekologija zdravlje rad sport. Banja Luka Udruženje ''Zdravlje za sve" (Associations ’ ’Health for all. 2009;170–3.
6.
Meijnikman A, Block D, Verrijken C, Mertens A, Corthouts I, B, et al. Screening for type 2 diabetes mellitus in overweight and obese subjects made easy by the FINDRISC Score. J Diabetes Complications. 2016;(16):30131–3.
7.
Bergmann A Li J, Wang L, Schulze J, Bornstein S, Schwarz P. A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res. 2007;677–82.
8.
Vandersmissen G, Godderis L. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) for diabetes screening in occupational health care. Int J Occup Med Environ Health. 2015;587–91.
9.
Perelb P, Miranda J, Smeeth L. Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Primary Care Diabetes. 2018;517–25.
10.
Atayoglu A, Inanc N, Başmisirli E, Çapar A. Evaluation of the Finnish Diabetes Risk Score (FIND-RISC) for diabetes screening in Kayseri. Turkey Prim Care Diabetes. 2020;30514–5.
11.
Jølle A, Midthjell K, Holmen J, Carlsen M, Tuomilehto S, J, et al. Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study. BMJ Open Diabetes Research and Care. 2019;769.
12.
Zhang L, Zhang Z, Zhang Y, Hu G, Chen L. Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among US adults by gender and race: NHANES 1999-2010. PloS One. 2014;97865.
13.
Schwarz P, Li J, Reimann M, Schutte A, Bergmann A, Hanefeld M, et al. The Finnish Diabetes Risk Score is associated with insulin resistance and progression towards type 2 diabetes. J Clin Endocrinol Metab. 2009;920–6.
14.
Saaristo T, Peltonen M, Lindstrom J, Saarikoski L, Sundvall J, Eriksson J, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes. Abnormal glucose tolerance and metabolic syndrome. DiabVasc Dis Res. 2005;67–72.
15.
Schwarz P, Li J, Lindstrom J, Tuomilehto J. Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res. 2009;86–97.
16.
Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;725–31.
17.
Kuzmanović R, Mirjanić D, Danelišen D, Vulić D, Šošić M, Vuković M. Dijabetes mellitus: Savremena dostignuća i izazovi (Diabetes mellitus: Contemporary Achievements and Challenges). 2017;
18.
Brown N, Critchley J, Bogowicz P, Mayige M, Unwin N. Risk scores based on self-reported or available clinical data to detect undiagnosed type 2 diabetes: a systematic review. Diabetes Res Clin Pract. 2012;369–85.
19.
Lifestyle Management. Diabetes Care. 2018;
20.
Standards of Medical Care in Diabetes-2018.
21.
Selph S, Dana T, Blazina I, Bougatsos C, Patel H, Chou R. Screening for type 2 diabetes mellitus: A systematic review for the US. Preventive Services Task Force. Ann Intern Med. 2015;765–76.
22.
Savić S, Stanetić K, Račić M, Petrović V, Jatić Z, Savić S, et al. Narodna i univerzitetska biblioteka Republike Srpske. Udruženje doktora porodične medicine Republike Srpske. :77–98.
23.
Who. Diabetes country profiles. 2016;
24.
Šiljak S, Štrikić D, Lj J, Bratić R, Danojević D, Rudić G, et al. Arsenović S. Analysis of Population Health in Republic of Srpska. 2016;
25.
Šiljak S, Štrikić D, Lj J, Bratić R, Danojević D, Rudić G, et al. Arsenović S. Analysis of Population Health in Republic of Srpska. 2014;
26.
International Diabetes Federation. IDF Diabetes Atlas. 8th edition. 2017;
27.
Ncd-Risc ). Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;1513–30.
28.
Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease. Chronic kidney disease. and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol. 2014;634–47.
29.
Gbd. Causes of Death Collaborators. Global regional and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study. Lancet. 2016;1151–210.
30.
International Diabetes Federation. 2017;
31.
Savić S. Banja Luka: Medicinski fakultet Univerziteta u Banjoj Luci (Faculty of Me-dicine. 2019;165–83.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.