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A Cross Sectional Study to Ascertain the Ability of the FINDRISC Diabetes Risk Assessment Tool to Detect Pre-Diabetes
Current Issue
Volume 3, 2018
Issue 5 (September)
Pages: 91-96   |   Vol. 3, No. 5, September 2018   |   Follow on         
Paper in PDF Downloads: 29   Since Oct. 26, 2018 Views: 1262   Since Oct. 26, 2018
Authors
[1]
Satvinderjit Singh Hullon, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
[2]
Muhammad Fariz Zaqwan, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
[3]
Yi Bohrt Lau, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
[4]
Manpreet Kaur, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
[5]
Foung Zoung Loi, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
[6]
Hui Yen Wong, Faculty of Medicine, Melaka Manipal Medical College (Manipal Academy of Higher Education (MAHE)), Melaka, Malaysia.
Abstract
Prediabetes is characterized by blood glucose levels that are higher than normal but not high enough to be classed as diabetes, and known to be a high risk state. According to the Ministry of Health, pre-diabetic people are 2-3 times more likely to develop diabetes, which is known to be one of the top 10 deadliest diseases in Malaysia. A new screening tool to screen for diabetes was developed in the form of a questionnaire which provided a cheaper and convenient tool as compared to using laboratory based diagnostic tests, that is the Finnish Diabetes Risk Score (FINDRISC). It is the most valid tool preferred for resource-limited settings by International Diabetes Federation (IDF). However, it was derived and validated for the specific Caucasian population and not the Malaysian population. A cross sectional study was performed among medical undergraduates of Melaka Manipal Medical College (MMMC), Malaysia, with a sample size of 180 participants selected by simple random sampling. Any healthy participant between the age of 18-30, not diagnosed with diabetes mellitus, and students from MMMC were included however those that did not give informed consent, did not complete the questionnaire, and participants that fasted prior to the study were excluded. Data was collected by self-administered questionnaires, filled prior to finger prick for blood glucose. Following multivariate analysis, a positive association between the FINDRISC Score and Waist Circumference, BMI, Physical Activity of less than 30 minutes, first degree relatives with diabetes and previous high glucose. An association was also found between the FINDRISC Score and Waist circumference as well as blood glucose. The sensitivity was 46.67% and specificity 64.55%, with Positive Predictive Value 59.35% and Negative predictive value 74.74%, hence the use of the FINDRISC Diabetes Risk Assessment Score is a moderate to poor screening tool for pre-diabetics, this is attributable to its’ poor sensitivity and high specificity, and a negative predictive value higher than positive predictive value.
Keywords
FINDRISC, Diabetes, Pre-diabetes, Malaysia
Reference
[1]
Tabák, Adam G, et al. "Prediabetes: a high-risk state for diabetes development." The Lancet 379.9833 (2012): 2279-2290.
[2]
Diabetes Mellitus. Merriam-Webster.com. Merriam-Webster, n.d. Web. 28 Aug. 2017. https://www.merriam-webster.com/dictionary/diabetes%20mellitus.
[3]
Ministry of Health, “Clinical Practice Guidelines: Management of Type 2 Diabetes Mellitus” 5th Edition, MOH/P/PAK/303.15 (GU), 2016.
[4]
Letchuman GR, Wan Nazaimoon WM, Wan Mohamad WB, et al.: Prevalence of diabetes in the Malaysian National Health Morbidity Survey III 2006, Med J Malaysia, 65 (2010), pp. 180-186.
[5]
Scheuner MT, Wang SJ, Raffel LJ, Larabell SK, et al. Family history: a comprehensive genetic risk assessment method for the chronic conditions of adulthood. Am J Med Genet 1997; 71: 315–324.
[6]
Weiss, Ram, et al. "Prediabetes in obese youth: a syndrome of impaired glucose tolerance, severe insulin resistance, and altered myocellular and abdominal fat partitioning." The Lancet 362.9388 (2003): 951-957.
[7]
Ibrahim N, Moy FM, Awalludin IAN, Ali Z, Ismail IS. The health-related quality of life among pre-diabetics and its association with body mass index and physical activity in a semi-urban community in Malaysia- a cross sectional study. BMC Public Health 2014; 14: 298. doi: 10.1186/1471-2458-14-298.
[8]
Schwarz PE, Li J, Lindstrom J, Tuomilehto J Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res 2009; 41: 86–97. pmid: 19021089.
[9]
Icks, Andrea, et al. Cost-effectiveness analysis of different screening procedures for type 2 diabetes. Diabetes Care 27.9 (2004): 2120-2128.
[10]
Waugh N, Scotland G, McNamee P, Gillett M, Brennan A, et al. (2007) Screening for type 2 diabetes: literature review and economic modelling. Health Technology Assessment 11: iii–iv, ix, – xi, 1–125.
[11]
Engelgau, Michael M., et al. screening for diabetes mellitus in adults: the utility of random capillary blood glucose measurements. Diabetes Care 18.4 (1995): 463-466.
[12]
Rolka, Deborah B., et al. Performance of recommended screening tests for undiagnosed diabetes and dysglycemia. Diabetes care 24.11 (2001): 1899-1903.
[13]
International Diabetes Federation, Clinical Guidelines Task Force Global Guideline for Type 2 Diabetes, 2012, (assed on 28 Aug. 2017). http://www.idf.org/sites/default/files/IDF-Guideline-for-Type-2-Diabetes.pdf.
[14]
Makrilakis K, Liatis S, Grammatikou S, Perrea D, Stathi C, Tsiligros P Et al. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes & Metabolism. 2011; 37 (2): 144-151.
[15]
Janghorbani M, Adineh H, Amini M. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a Screening Tool for the Metabolic Syndrome. The Review of Diabetic Studies: RDS. 2013; 10 (4): 283-292. doi: 10.1900/RDS.2013.10.283.
[16]
Ajala, MO, et al. Laboratory assessment of three glucometers. African journal of medicine and medical sciences 32.3 (2003): 279-282.
[17]
Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003; 26 (3): 725-731.
[18]
De Cocker J, Rietzschel E. VALIDATION OF THE FINNISH DIABETES RISK SCORE (FINDRISC) FOR DIABETES SCREENING IN THE BELGIAN POPULATION. 2015-2016; 8-9.
[19]
Show JE, Diabetes Research and Clinical Practice, Official Journal of the International Diabetes Federation, Published Online November 09, 2009.
[20]
Finnish Diabetes Association, Type 2 Diabetes Risk Assessment Form, https://www.diabetes.fi/files/502/eRiskitestilomake.pdf, Accessed: September 7th 2017
[21]
Abdel-Ellah A, Amjad AS, Ahmad AA et al, Diabetes Risk Score in a Young Student Population in Jordan: A Cross Sectional Study, J Diabetes Res 2017; 2017: 8290710, Published online April 29th 2017.
[22]
Lindsay, Robert S, et al. Secular trends in birth weight, BMI, and diabetes in the offspring of diabetic mothers Diabetes Care, 23 (9), 1249-1254.
[23]
Odegaard, Andrew O, et al. BMI and diabetes risk in Singaporean Chinese Diabetes care, 32. 6 (2009): 1104-1106.
[24]
Healy, Genevieve N, et al. Objectively measured sedentary time, physical activity and metabolic risk Diabetes care 31.2 (2008): 369-371.
[25]
Snijder, Marieke et al. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes mellitus: the Hoorn Study. The American journal of clinical nutrition 77.5 (2003) 1192-1197.
[26]
Gerich, John E. The genetic basis of type 2 diabetes mellitus: impaired insulin secretion versus impaired insulin sensitivity. Endocrine Reviews 19.4 (1998): 491-503.
[27]
Nilsen, TI Lund, and L J Vatten. "Prospective study of colorectal cancer risk and physical activity, diabetes, blood glucose and BMI: exploring the hyperinsulinaemia hypothesis." British journal of cancer 84.3 (2001): 417.
[28]
Siren, Reijo, Johan G, Eriksson, and Vanhanen H "Waist circumference a good indicator of future risk for type 2 diabetes and cardiovascular disease." BMC Public Health 12.1 (2012): 631.
[29]
Zimmet, Paul, et al. "The metabolic syndrome in children and adolescents." The Lancet 369.9579 (2007): 2059.
[30]
The IDF consensus worldwide definition of the METABOLIC SYNDROME, International Diabetes Federation, 2006 (accessed September 20 2017) https://www.idf.org/e- library/consensus-statements/60-idfconsensus-worldwide-definitionof-the-metabolic-syndrome.
[31]
Mokdad, Ali H, et al. "The continuing epidemics of obesity and diabetes in the United States." Jama 286.10 (2001): 1195-1200.
[32]
Kahn, Steven E, Rebecca LH, and Kristina MU "Mechanisms linking obesity to insulin resistance and type 2 diabetes." Nature 444.7121 (2006): 840.
[33]
Fisher, Edwin B, et al. "Healthy coping, negative emotions, and diabetes management." The Diabetes Educator 33.6 (2007): 1080-1103.
[34]
American Diabetes Association. "Diagnosis and classification of diabetes mellitus." Diabetes care 27. suppl 1 (2004): s5-s10.
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