Abstrait

Relationship of body mass index with diabetes and breast cancer biomarkers

Rabindra Nath Das*, Youngjo Lee, Sabyasachi Mukherjee & Seungyoung Oh

Body mass index (BMI=Weight(kg)/Height(m2) is generally computed for each patient under some clinical studies, considering that it may be related with the disease. The report has derived the effects of BMI on diabetes & breast cancer markers for some cancer patients with the help of probabilistic modeling. It has been obtained that mean BMI is positively associated with fasting glucose (p=0.0753), insulin (p=0.0002), leptin (p<0.0001), monocyte chemoattractant protein-1 (MCP-1) (p=0.0002), and it is negatively associated with homeostasis model assessment score (HOMA) (p<0.0001), adiponectin (p=0.0003), and class of patients (p=0.0116). The variance of BMI is partially positively associated with age (p=0.1751), and it is negatively associated with resistin (p=0.1450) and insulin (p=0.2413). These three variance explanatory factors are known as confounder according to Epidemiology. Therefore, high BMI increases glucose, insulin, leptin, MCP-1, and it decreases HOMA & adiponectin.