Relationship Between Finnish Diabetic Risk Score (FINDRISC) with Health-Related Quality of Life in Yogyakarta

Ninda Sari Wahyuningtyas (1) , Dyah Aryani Perwitasari (2) , Satibi Satibi (3)
(1) Universitas Ahmad Dahlan , Indonesia
(2) Universitas Ahmad Dahlan , Indonesia
(3) Universitas Gadjah Mada , Indonesia

Abstract

The number of people with type 2 diabetes mellitus (T2DM) in Indonesia increases every year. Control of the development of T2DM can be done by screening using Finnish Diabetic Risk Score (FINDRISC)-Indonesian. FINDRISC is a valid tool for estimating the risk of T2DM within the next 10 years. This condition can have a major impact on the estimated life span and quality of life in the future. The purpose of this research is to determine the relationship between FINDRISC-Indonesian and respondent characteristics with HRQoL from EuroQol-5 Dimension-5 Level (EQ-5D-5L) in Yogyakarta. The cross-sectional study was conducted on 125 respondents who met the inclusion criteria. The risk of developing T2DM was assessed using a validated and widely used FINDRISC (range 0-26 points), and quality of life was measured by the EQ-5D-5L instrument. Overall data were analyzed using the Pearson correlation test and Independent t-test. The results showed the domain of pain was the domain that reported most respondents' most problems (28.8%). The respondent's utility value was 0.958 ± 0.69, and the VAS value was 79.4 ± 0.7. There was a significant difference in utility value based on age characteristics (p = 0.013). There was a relationship between age and utility value (p = 0.006) and FINDRISC score with utility value (p = 0.003). This study concludes that a high FINDRISC score affects the quality of life, and older age has a lower quality of life.

Full text article

Generated from XML file

References

1. Ministry of Health of the Republic of Indonesia. InfoDatin Pusat Data dan Informasi Kementerian Kesehatan RI: Hari Diabetes Sedunia Tahun 2018. Jakarta, Indonesia: Ministry of Health of the Republic of Indonesia; 2018.
2. International Diabetes Federation. International Diabetes Federation Diabetes Atlas. 9th edition. Brusesels, Belgium: International Diabetes Federation; 2019.
3. Al-Moosa S, Allin S, Jemiai N, Al-Lawati J, Mossialos E. Diabetes and urbanization in the Omani population: an analysis of national survey data. Popul Health Metr. 2006;4:5. doi:10.1186/1478-7954-4-5
4. Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012;2(2):1143-211. doi:10.1002/cphy.c110025
5. Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137-49. doi:10.1016/j.diabres.2013.11.002
6. Lee WJ, Song KH, Noh JH, Choi YJ, Jo MW. Health-related quality of life using the EuroQol 5D questionnaire in Korean patients with type 2 diabetes. J Korean Med Sci. 2012;27(3):255-60. doi:10.3346/jkms.2012.27.3.255
7. Arifin B, Idrus LR, van Asselt ADI, Purba FD, Perwitasari DA, At Thobari J, et al. Health-related quality of life in Indonesian type 2 diabetes mellitus outpatients measured with the Bahasa version of EQ-5D. Qual Life Res. 2019;28(5):1179-90. doi:10.1007/s11136-019-02105-z
8. Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31. doi:10.2337/diacare.26.3.725
9. Featherstone T, Eurich DT, Simpson SH. Limited Effectiveness of Diabetes Risk Assessment Tools in Seniors’ Facility Residents. Value Health. 2017;20(3):329-35. doi:10.1016/j.jval.2016.09.2403
10. Saleem SM, Khan SMS, Jan SS. Finnish Diabetic Risk Score: A Tool for Predicting Risk of Undiagnosed Type 2 Diabetes Mellitus. Ann Med Health Sci Res. 2017;7:295-8.
11. Pertiwi P. Validasi Finnish Diabetic Risk Score Versi Indonesia di Yogyakarta [master's thesis]. Yogyakarta, Indonesia: Universitas Ahmad Dahlan; 2020.
12. Väätäinen S, Cederberg H, Roine R, Keinänen-Kiukaanniemi S, Saramies J, Uusitalo H, et al. Does Future Diabetes Risk Impair Current Quality of Life? A Cross-Sectional Study of Health-Related Quality of Life in Relation to the Finnish Diabetes Risk Score (FINDRISC). PLoS One. 2016;11(2):e0147898. doi:10.1371/journal.pone.0147898
13. Zhang L, Zhang Z, Zhang Y, Hu G, Chen L. Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010. PLoS One. 2014;9(5):e97865. doi:10.1371/journal.pone.0097865
14. Heidemann C, Boeing H, Pischon T, Nöthlings U, Joost HG, Schulze MB. Association of a diabetes risk score with risk of myocardial infarction, stroke, specific types of cancer, and mortality: a prospective study in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort. Eur J Epidemiol. 2009;24(6):281-8. doi:10.1007/s10654-009-9338-7
15. Lemeshow S, Hosmer DW, Klar J, Lwanga SK. Adequacy of Sample Size in Health Studies. New Jersey, US: John Wiley & Sons, Inc; 1990.
16. Purba FD, Hunfeld JAM, Iskandarsyah A, Fitriana TS, Sadarjoen SS, Ramos-Goñi JM, et al. The Indonesian EQ-5D-5L Value Set. Pharmacoeconomics. 2017;35(11):1153-65. doi:10.1007/s40273-017-0538-9
17. Trisnawati SK, Setyorogo S. Faktor Risiko Kejadian Diabetes Melitus Tipe II Di Puskesmas Kecamatan Cengkareng Jakarta Barat Tahun 2012. Jurnal Ilmiah Kesehatan. 2013;5(1):6-11.
18. American Diabetes Association. Standards of Medical Care in Diabetes—2019 Abridged for Primary Care Providers. Clin Diabetes. 2019;37(1):11-34. doi:10.2337/cd18-0105
19. Astrup A, Finer N. Redefining type 2 diabetes: 'diabesity' or 'obesity dependent diabetes mellitus'? Obes Rev. 2000;1(2):57-9. doi:10.1046/j.1467-789x.2000.00013.x
20. Schienkiewitz A, Schulze MB, Hoffmann K, Kroke A, Boeing H. Body mass index history and risk of type 2 diabetes: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Am J Clin Nutr. 2006;84(2):427-33. doi:10.1093/ajcn/84.1.427
21. Feller S, Boeing H, Pischon T. Body-mass-Index, Taillenumfang und Risiko für Diabetes mellitus Typ 2. Dtsch Arztebl Int. 2010;107(26):470-6. doi:10.3238/arztebl.2010.0470
22. Lin X, Zhang X, Guo J, Roberts CK, McKenzie S, Wu WC, et al. Effects of Exercise Training on Cardiorespiratory Fitness and Biomarkers of Cardiometabolic Health: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Am Heart Assoc. 2015;4(7):e002014. doi:10.1161/jaha.115.002014
23. Colberg SR, Sigal RJ, Yardley JE, Riddell MC, Dunstan DW, Dempsey PC, et al. Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association. Diabetes Care. 2016;39(11):2065-79. doi:10.2337/dc16-1728
24. Kim MJ, Lim NK, Choi SJ, Park HY. Hypertension is an independent risk factor for type 2 diabetes: the Korean genome and epidemiology study. Hypertens Res. 2015;38(11):783-9. doi:10.1038/hr.2015.72
25. Meigs JB, Hu FB, Rifai N, Manson JE. Biomarkers of endothelial dysfunction and risk of type 2 diabetes mellitus. JAMA. 2004;291(16):1978-86. doi:10.1001/jama.291.16.1978
26. Hamilton SJ, Watts GF. Endothelial Dysfunction in Diabetes: Pathogenesis, Significance, and Treatment. Rev Diabet Stud. 2013;10(2-3):133-56. doi:10.1900/RDS.2013.10.133
27. Agarwal A, Hegde A, Yadav C, Ahmad A, Manjrekar PA, Srikantiah RM. Assessment of oxidative stress and inflammation in prediabetes-A hospital based cross-sectional study. Diabetes Metab Synd. 2016;10(2 Suppl 1):S123-6. doi:10.1016/j.dsx.2016.03.009
28. InterAct Consortium; Scott RA, Langenberg C, Sharp SJ, Franks PW, Rolandsson O, et al. The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study. Diabetologia. 2013;56(1):60-9. doi:10.1007/s00125-012-2715-x
29. Perwitasari DA, Urbayatun S, Faridah IN, Masyithah N. Relationship of therapeutic outcome with quality of life on type 2 diabetes mellitus patients in Abdul Azis Singkawang hospital. IOP Conf Ser Mater Sci Eng. 2017;259:012023. doi:10.1088/1757-899X/259/1/012023
30. Silventoinen K, Pankow J, Lindström J, Jousilahti P, Hu G, Tuomilehto J. The validity of the Finnish Diabetes Risk Score for the prediction of the incidence of coronary heart disease and stroke, and total mortality. Eur J Cardiovasc Prev Rehabil. 2005;12(5):451-8. doi:10.1097/01.hjr.0000174793.31812.21
31. Lindström J, Peltonen M, Eriksson JG, Ilanne-Parikka P, Aunola S, Keinänen-Kiukaanniemi S, et al. Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS). Diabetologia. 2013;56(2):284-93. doi:10.1007/s00125-012-2752-5
32. Lindström J, Peltonen M, Eriksson JG, Aunola S, Hämäläinen H, Ilanne-Parikka P, et al. Determinants for the effectiveness of lifestyle intervention in the Finnish Diabetes Prevention Study. Diabetes Care. 2008;31(5):857-62. doi:10.2337/dc07-2162

Authors

Ninda Sari Wahyuningtyas
nindasari23@gmail.com (Primary Contact)
Dyah Aryani Perwitasari
Satibi Satibi
1.
Wahyuningtyas NS, Perwitasari DA, Satibi S. Relationship Between Finnish Diabetic Risk Score (FINDRISC) with Health-Related Quality of Life in Yogyakarta. Borneo J Pharm [Internet]. 2021Feb.28 [cited 2024Apr.17];4(1):68-77. Available from: https://journal.umpr.ac.id/index.php/bjop/article/view/1579

Article Details

Most read articles by the same author(s)