A STUDY ON DISTRIBUTION AND DETERMINANTS OF INDIAN DIABETIC RISK SCORE (IDRS) AMONG RURAL POPULATION OF WEST BENGAL
Keywords:Indian Diabetic Risk Score, Rural area, BMI, Multinomial logistic regression
Background: The burden of diabetes is expected to increase by 58%, from 51 million people in 2010 to 87 million in 2030. In rural India the prevalence rate has increased from 1% to 4-10% over last 20 years. IDRS is a cost-effective & simple method for identifying undiagnosed diabetic subject at community level.
Objectives: To find out the distribution of IDRS among the study population and to determine the association of IDRS with socio-demographic & anthropometric factors.
Methods: This community based cross-sectional study was carried out in the rural practice area of (Daspara, Amdanga Block) Dept. of Community Medicine, R.G.Kar Medical College among 250 undiagnosed diabetic people aged ≥ 20 years in August’11 by using a predesigned & pretested schedule containing age, Physical activity, H/o Diabetes in family sex& waist circumference (IDRS component) and religion, SE status, , blood pressure and various anthropometric measurements.
Results: Out of 250, 235 (94%) responded. 133(56.6%) were females & 102 (43.4%) were males. 108 (46%) had moderate risk (IDRS 30-50); 74(31.5%) had high risk (IDRS≥60) and 53(22.6%) had low risk (IDRS<30). In Multinomial Logistic Regression if low IDRS is compared with moderate IDRS female sex (OR-.183), BMI, hypertension (OR-.194) were found to be statistically significant and if low IDRS is compared with high IDRS female sex (OR-.202) , hypertension (OR-.13) & BMI were found to be statistically significant. By doing multinomial logistic regression hip circumference was also found to be statistical significantly associated with IDRS in both male and female.
Conclusion: As the study finds that percentage of low IDRS is low among the three categories of IDRS, it is essential to implement the simple IDRS tool in the community for mass screening so that proper intervention can be carried out to reduce the burden of diabetes.
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