A Population-based Screening of Type 2 Diabetes in High-risk Population of Yasuj, Iran

Mitra Safari, Behrouz Yazdanpanah, Behzad Yazdanpanah, Ali Mobasheri


Complications associated with diabetes can be prevented by early diagnostics. A high-risk population was screened for diabetes, and the prevalence of undiagnosed diabetes mellitus (DM) and impaired fasting glucose (IFG) were used for examining the impacts of lifestyle, social and anthropometric features, and other risk factors. The target population comprised 30-65 years old residents from the western suburbs of Yasuj. Homes were approached, and a standard questionnaire was used for collecting information on sex, blood pressure, weight, height, and BMI for each participant. The high-risk participants were recognized according to the National Diabetes Prevention and Control Committee criteria and were introduced to an assigned laboratory. Blood samples were collected after 12-hour fasting for the measurement of total cholesterol, triglycerides and fasting glucose levels. The statistical analysis was performed with the SPSS statistical package, using a logistic regression model. Out of 2,569 individuals, 1,336 (52%) were with highrisk diabetes, 71.5% were female, and 28.5% were male. Of 191 (7.4%) individuals with known diabetes, 5 (2.6%) had type 1 diabetes; 881 (66.9%) out of 1,336 high-risk individuals were referred to assigned laboratory. Of 881 high-risk individuals, 157 (17.8%) had fasting blood sugar (FBS) ≥126 mg/dL and 118 (13.4%) had FBS between110 and 125 mg/dL. Percentages of participants with triglyceride ≥150 mg/dL and cholesterol ≥200 mg/dL were 298 (33.8%) and 207 (23.5%) respectively. Diabetes was associated with ageing, dyslipidaemia, family history of diabetes, lower physical activity on occupation, intake of lower dietary fibre, and non-literacy in the sampled population. This study suggests that diabetes is a common health problem in this area. Furthermore, considerable rate of newly-diagnosed diabetes signifies the importance of the screening programme.

Key words: Diabetes; Population-based studies; Risk factors; Screening; Iran

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