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Year : 2016  |  Volume : 7  |  Issue : 3  |  Page : 4

Identifying Insulin Resistance by Fasting Blood Samples in Bangladeshi population with Normal Blood Glucose

1 Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
2 Department of Pathology, Ibrahim Medical College, Diabetic Association of Bangladesh, Dhaka, Bangladesh
3 Department of Community Medicine, Rajshahi Medical College, Bangladesh
4 Department of Endocrinology, Bangladesh Institutes of Research and Rehabilitation of Diabetes, Endocrine and Metabolic Disorders, Dhaka, Bangladesh

Correspondence Address:
B Bhowmik
Coordinator, Centre for Global Health Research

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Source of Support: None, Conflict of Interest: None

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Insulin resistance (IR) is a major determinant for a number of chronic cardio metabolic diseases including type 2 diabetes (T2DM) and cardiovascular diseases (CVD). Therefore, identifying IR cases would help to better prevent the progression of these diseases. To identify simple indirect methods for detection of IR in Bangladeshi adults with normal blood glucose by using fasting blood samples. A total of 2293 randomly selected subjects (aged ≥20 years) in a rural community were investigated in population-based cross- sectional study. IR was assessed in 1915 individuals with normal blood glucose by fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR), fasting insulin resistance index (FIRI), quantitative insulin-sensitivity check index (QUICKI) and McAuley Index. The 75th percentile values as the cut-off point to define IR corresponded with a fasting insulin level of 12.0 mU/l, a HOMA-IR of 2.6, a FIRI of 2.3, a 25th percentile for QUICKI of 0.24 and a McAuley Index of 6.0. Significant correlation was observed between calculated indirect indexes of IR and different components of metabolic syndrome. Simple indirect methods by using fasting samples would be useful to identify IR cases in population-based cross sectional survey especially in facility constraints areas like rural Bangladesh.

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