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.
Highlights
The relationships between type 2 diabetes mellitus (T2DM), anthropometric variables and blood pressures are statistically complex [1,2]
All right skewed distributions have converted to a normal distribution by square root transformation whereas; reciprocal transformation is used for left skewed distribution among type 2 diabetic males, pre- and postmenopausal females
The highest mean age for onset of T2DM was found among post-menopausal females (52.46 ± 6.22years) and the lowest mean age for the onset of disease was found among pre-menopausal females (36.97 ± 5.96 years) as compared to males (45.19 ± 7.79 years)
Summary
The relationships between type 2 diabetes mellitus (T2DM), anthropometric variables and blood pressures are statistically complex [1,2]. The objective of the present study using principal component factor analysis is to compare the relationship between anthropometric and physiometric components with diabetic males, pre- and post-meno-pausal females in North Indian Punjabi population. 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 post-menopausal females in North Indian Punjabi population. Principal component factor analysis (PCFA) was applied to identify the components which are more close to type 2 diabetes among the three groups. Conclusion: Higher clustering of obesity and blood pressures were found in diabetic males as compared to pre- and post-menopausal diabetic females in North Indian Punjabi population whereas, waist to hip ratio (WHR) has maximum loading in post-menopausal females as compared to others
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