Predicting Risk of Type 2 Diabetes Mellitus: A Population-Based Study

被引:3
作者
Kilic, Mahmut [1 ]
Cetinkaya, Fevziye [2 ]
Kilic, Ali Ihsan [3 ]
机构
[1] Bozok Univ, Saglik Yuksekokulu, E Akdag Kampusu, TR-66900 Yozgat, Turkey
[2] Erciyes Univ, Tip Fak, Halk Sagligi ABD, Kayseri, Turkey
[3] Dokuz Eylul Univ, Ortopedi Travmatol ABD, Izmir, Turkey
关键词
Diabetes Mellitus; Risk Assessment; Community;
D O I
10.4328/JCAM.3887
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aim: One of the major risk factors that can cause death in the world is also type-2 diabetes mellitus (DM). Turkey does not have a vehicle in the society has been formulate predicting the risk of developing DM. The purpose of this study is to determine the level of DM risk in Turkish society using the Finnish Diabetes Risk Score (FINDRISC) tool. Material and Method: This is a cross-sectional study. The data has been obtained from "behavioral risk factors for chronic diseases study" that was made in the province of Yozgat, in 2011. The study population included 825 subjects between 25 to 79 years old who had measured their blood sugar before, but who were not diagnosed DM. DM risk level was calculated using FINDRISC tool. The scale score is between 0-26, >= 15 points are considered high risk (risk ratio 1/3). In analyzing the data, t-test, ANOVA and chi-square test and binary logistic regression were used. Results: Of the subjects 10 years of DM risk score's mean was 8.8 +/- 4.6. When FINDRISC score low / medium and high divided into 2 groups, the proportion of those in the high risk group is 11.5%. This rate is similar to the 10-year incidence of DM calculated (11-12.4%) for Turkey. In this study, all of the factors taken into FINDRISC calculations were statistically significant (p < 0.01). In univariate analysis, DM risk differently according to gender, marital status, education level, economic level, life satisfaction, employment status, and smoking status while in logistic analysis of these variables were not significant (p> 0.05). Discussion: FINDRISC used to be in the DM risk calculations of Turkish population. One out of every ten adults are at high risk of developing DM in 10 years. To avoid this problem urgently needs to be implemented by the various programs on an individual and societal level.
引用
收藏
页码:850 / 854
页数:5
相关论文
共 26 条
[1]  
Alwan A, 2011, GLOBAL STATUS REPORT ON NONCOMMUNICABLE DISEASES 2010, pVII
[2]  
Buijsse B, 2011, EPIDEMIOLOGIC REV
[3]   AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures [J].
Chen, Lei ;
Magliano, Dianna J. ;
Balkau, Beverley ;
Colagiuri, Stephen ;
Zimmet, Paul Z. ;
Tonkin, Andrew M. ;
Mitchell, Paul ;
Phillips, Patrick J. ;
Shaw, Jonathan E. .
MEDICAL JOURNAL OF AUSTRALIA, 2010, 192 (04) :197-202
[4]   External validation of QDSCORE® for predicting the 10-year risk of developing Type 2 diabetes [J].
Collins, G. S. ;
Altman, D. G. .
DIABETIC MEDICINE, 2011, 28 (05) :599-607
[5]  
CTFPHC, TYP 2 DIAB PAT FINDR
[6]   Screening for Type 1 and Type 2 Diabetes [J].
Ekoe, Jean-Marie ;
Punthakee, Zubin ;
Ransom, Thomas ;
Prebtani, Ally P. H. ;
Goldenberg, Ronald .
CANADIAN JOURNAL OF DIABETES, 2013, 37 :S12-S15
[7]   Global estimates of diabetes prevalence for 2013 and projections for 2035 [J].
Guariguata, L. ;
Whiting, D. R. ;
Hambleton, I. ;
Beagley, J. ;
Linnenkamp, U. ;
Shaw, J. E. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2014, 103 (02) :137-149
[8]   Feasibility of the FINDRISC questionnaire to identify individuals with impaired glucose tolerance in Swedish primary care. A cross-sectional population-based study [J].
Hellgren, M. I. ;
Petzold, M. ;
Bjorkelund, C. ;
Wedel, H. ;
Jansson, P. -A. ;
Lindblad, U. .
DIABETIC MEDICINE, 2012, 29 (12) :1501-1505
[9]  
Horasan, 2013, CHRONIC DIS RISK FAC, P169
[10]  
International Diabetes Federation, 2013, IDF DIABETES ATLAS