RISK OF TYPE 2 DIABETES MELLITUS AMONG HEALTHY INDIVIDUALS IN TIGO BALEH AND RASIMAH AHMAD AREA IN BUKITTINGGI IN 2017
DOI:
https://doi.org/10.31674/mjmr.2018.v02i02.007Abstract
The negative impact of Diabetes Mellitus are shortening the life expectancy, increasing morbidity rates and worsening the quality of life. These impacts are rising due to the growth of number of patients, particularly unidentified sufferer. International Diabetes Federation estimates that by 2035 there will be 592 million people suffering from DM Dan At least more than 85% of them will have type 2 DM. According to health ministry of RI, in west Sumatera, there were around 44000 DM Sufferers in 2014 and 40% of population group was known as undiagnosed DM with high risk level. Meanwhile in Bukittinggi the highest DM sufferer is on public health Center Tigo Baleh followed by Public Health Center Rasimah Ahmad. However there were not a single data released about DM risk. This research aimed to identify type 2 DM prevalency risk through screening of healthy individuals in 2017. The method of this research was quantitative survey in Tigo Baleh and rasimah Ahmad Areas. Data was collected from 500 respondents by using FINDRISC instrument. The result revealed 5 levels of DM risk, there were Low risk 25%, Slightly Elevated Risk 32%, Moderate Risk 21.2%, High Risk 19.2%, and Very High Risk 2.6%.
Keywords:
Type 2DM risk, Findrisc, BukittinggiDownloads
References
Bahjiri, S.M., Jambi, H.A., Al Raddadi, R.M, Ferns, G. & Tuomilehto, J.(2016). The Prevalence of Diabetes and Prediabete in the Adult Population of Jeddah,Saudi Arabia-A Community-Based Survey. Plose one, 11(4), pp 1-14.
Bhalero,S.D.,Somannavar,M.,Vernekar, S.S., Ravishankar, R. & Goudar, S.S. (3014). Risk Factor for Type 2 Diabetes Mellitus in rural population of north Karnataka: a community-based cross-sectional study.International Journal of Pharma Medicine and Biological Science, 3(1), pp 1-14.
Centers for Disease Control and Prevention (2014). National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States. Atlanta, GA: U.S. Department of Health andHuman Services.
Kementrian Kesehatan RI (2014). Situasi Dan Analisis Diabetes. Infodatin : Jakarta Selatan.
Lima,A.C.S, Araujo,M.F.M, Freitas,R.W.J.S, Zanetti, M.L., Almeida, P.C. & Damasceno, M.M.C. (2014). Risk factors for type 2 diabetes mellitus in college students: association with sociodemographic variables. Revista Latino- Americana de Enfermagem, 22(3), pp 484-90.
Lindstrom,J. & Tuomilehto, J. (2003). The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care, 26(3), pp 725-731.
Meigs, J.B., Hu, F.B., Rifai, N. & Manson, J.E. (2004). Biomarkers of endothelial dysfunction and risk of type 2 diabetes mellitus. JAMA, 291(16), pp 1978–1986.
Majgi, S.M., Soudarssane, B., Roy. G. & Das, A.K. (2012). Risk factor of Diabetes in rural Puducherry. Online Journal of Health and Allied Sciences, 11(1),
pp 1-7.
Makrilakis,K.,Liatis, S., Grammatikou, S., Perrea. D., Stathi. C., Tsiligros, P. & Katsilambros, N. (2010).Validation of Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dyshlycaemia and the metabolic syndrome in Greece. Journal of Diabetes, 37(2), pp 144-51.
Nguyen, T.T., Wang, J.J., Islam, F.M., Mitchell, P., Tapp, R.J., Zimmet, P.Z., Simpson, R., Shaw, J. & Wong,
T.Y. (2008). Retinal arteriolar narrowing predicts incidence of diabetes: the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study. Diabetes, 57(3), pp 536–539.
Oba, S., Noda, M., Waki, K., Nanri, A., Kato, M., Takahashi.Y., Poudel-Tandukar, K., Matsushita, Y., Inoue, M., Mizoue, T., Tsugane, S. and for the Japan Public Health Center-based Prospective Study Group (2012). Smoking cessation increases short-term risk of type 2 diabetes irrespective of weight gain: the Japan public Health Center-Based prospective study. Plose one, 7(2), pp 1-9.
Wagner,R.,Thorand, B.,Osterhoff, M. A.,Muller,G., Bohm. A., Meisinger., C., Kowall, B., Rathmann, W., Kronenberg, F., Staiger, H., Stefan, N., Roden, M., Schwarz, P.E., Pfeiffer, A.F., Häring, H.U. & Fritsche
A. (2013). Family history of diabetes is associated with higherrisk for prediabetes: a multicentre analysis from the GermanCenter for Diabetes Research. Diabetologia, 56(10), pp 2176-80..
Wang, J., Stancakova, A., Kuusisto, J. & Laakso, M. (2010). Identification of undiagnosed type 2 diabetis individuals by Finnish Diabetic Risk Score and Biochemical and Genetic Markers: a populayion- based study of 7232 finnish men. Journal Clinical Endocrinology Metabolic, 95(8), pp 3858-62.
World Health Organization (2006). Definition and diagnosis of diabetes melitus and intermediate hyperglycemia. Geneva: WHO Press.
Wu, Y, Ding, Y, tanaka. Y& Zhang, W.( 2014). Risk factor contributing to type 2 Diabetes and recent advance in the treatment and prevention. International Journal of Medical Sciences, 11(11), pp 1185-200.
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Malaysian Journal of Medical Research (MJMR)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.