Journal of family medicine and primary care · 2026
Performance of Indian diabetic risk score in identifying the undiagnosed type-2 diabetes mellitus among the rural population of Dehradun.
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Singh Mahendra, Mishra Ashutosh, Bahurupi Yogesh, Kishore Surekha, Aggarwal Pradeep, Kant Ravi, Goyal Bela, Sharma Madhurima
Аннотация
BACKGROUND: Burden of diabetes and prediabetes has risen among adults in India. Over 50% of individuals do not know their diabetes condition. This research was carried out to assess the efficacy of Indian diabetes risk score (IDRS) in detecting undiagnosed type-2 diabetes mellitus within the rural community of Dehradun.
MATERIALS AND METHODS: Over the course of two years, a cross-sectional study was carried out with a sample size of 128 adult patients (age >18 years) attending OPD at peripheral health center, functional under Community and Family Medicine department, AIIMS Rishikesh. As a study tool, the Indian diabetes risk score was used for the detection of undiagnosed type-2 diabetes mellitus and simultaneously its validity was checked. Data analysis was conducted using SPSS version 23.0 for Windows. A P value below 0.05 was deemed significant for the entire statistical test.
RESULTS: Participants in the study had mean age of 46 years ± 10.9 SD. Based on the IDRS, proportion of risk of diabetes was high among 52.3% of the study participants. Almost 30.5% of the participants aged ≥50 years with an IDRS of 30 were at the highest risk of getting diabetes. The IDRS of ≥60 demonstrated the best sensitivity (80%) and specificity (35.92%) for identifying the undiagnosed cases of diabetes.
CONCLUSION: It has been determined that the Indian diabetes risk score is a practical and economical method to screen for undiagnosed cases of diabetes.
MATERIALS AND METHODS: Over the course of two years, a cross-sectional study was carried out with a sample size of 128 adult patients (age >18 years) attending OPD at peripheral health center, functional under Community and Family Medicine department, AIIMS Rishikesh. As a study tool, the Indian diabetes risk score was used for the detection of undiagnosed type-2 diabetes mellitus and simultaneously its validity was checked. Data analysis was conducted using SPSS version 23.0 for Windows. A P value below 0.05 was deemed significant for the entire statistical test.
RESULTS: Participants in the study had mean age of 46 years ± 10.9 SD. Based on the IDRS, proportion of risk of diabetes was high among 52.3% of the study participants. Almost 30.5% of the participants aged ≥50 years with an IDRS of 30 were at the highest risk of getting diabetes. The IDRS of ≥60 demonstrated the best sensitivity (80%) and specificity (35.92%) for identifying the undiagnosed cases of diabetes.
CONCLUSION: It has been determined that the Indian diabetes risk score is a practical and economical method to screen for undiagnosed cases of diabetes.