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Rai, E., Sharma, S., Koul, A., Bhat, A.K., Bhanwer, A.J. and Bamezai, R.N. (2007) Interaction between the UCP2866G/A, mtDNA 10398G/A and PGC1alpha p.Thr394Thr and p.Gly482Ser polymorphisms in type 2 diabetes in North Indian population. Human Genetics, 122(5), 535540.

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• TITLE: Comparison of factor loadings for anthropometric and physiometric measures among type 2 diabetic males, pre and postmenopausal females in North Indian Punjabi population

  AUTHORS: Badarud Doza

  KEYWORDS: Factor Analysis; Blood Pressure; Type 2 Diabetes; Anthropometry; Punjabi Population

  JOURNAL NAME: Natural Science, Vol.2 No.7, July 30, 2010

  ABSTRACT: Background: The objective of the present study was to compare the relationship of anthropometric and physiometric characteristics using principal component factor analysis among three groups of type 2 diabetic subjects such as males, pre and postmenopausal females in North Indian Punjabi population. Method: A total of 349 type 2 diabetic subjects (males 157; females 192; 88 pre and 104 postmenopausal) were ascertained for the present study. Different anthropometric and physiometric measurements were taken. Principal component factor analysis (PCFA) was applied to identify the components which are more close to type 2 diabetes among the three groups. Results: PCFA revealed five uncorrelated components which explained 79% of the total variance among diabetic males and six unrelated components which explained 78% of the total variance among pre and postmenopausal females. The important two factors could be identified as central obesity (factor 1) and blood pressure (factor 2) among these three groups. Conclusion: Higher clustering of obesity and blood pressures were found in diabetic males as com pared to pre and postmenopausal diabetic females in North Indian Punjabi population whereas, waist to hip ratio (WHR) has maximum loading in postmenopausal females as compared to others.