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Journal of Applied Sciences

Year: 2011 | Volume: 11 | Issue: 15 | Page No.: 2843-2848
DOI: 10.3923/jas.2011.2843.2848

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Authors


Badaruddoza

Country: India

Kushal Gill

Country: India

Preet Kamal Sandhu

Country: India

Keywords


  • PCFA
  • obesity
  • lipids
  • blood pressures
  • cardiovascular disease
Research Article

Factor Analysis of Anthropometric, Physiometric and Metabolic Risk Traits Associated with Cardiovascular Diseases in North Indian Punjabi Adults

Badaruddoza, Kushal Gill and Preet Kamal Sandhu
The aim of the present study was to identify the clusters of risk factors of cardiovascular diseases among north Indian Punjabi population in India. The clustering of variables was evaluated by Principal Component Factor Analysis (PCFA) with varimax rotation on 616 individuals (350 males and 266 females) from north Indian Punjabi population in Punjab (a north Indian state). Principal component factor analysis was performed to extract orthogonal factors from 13 cardiovascular risk factors. A total of 6 and 5 principal factors accounting for 87 and 84% of the total variance were derived among males and females, respectively. Factor 1 was loaded with glucose and lipids for males; glucose and blood pressures for females. Factor 2 was loaded with obesity in males; glucose and lipid in females. Factor 3 was loaded with blood pressure in males and obesity in females. Therefore, principal component factor analysis has identified a number of cardiovascular risk factors in Punjabi population in north India. This finding indicated the importance of principal component factor analysis to identify the cluster of risk factors for chronic disease like cardiovascular disease.
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How to cite this article

Badaruddoza, Kushal Gill and Preet Kamal Sandhu, 2011. Factor Analysis of Anthropometric, Physiometric and Metabolic Risk Traits Associated with Cardiovascular Diseases in North Indian Punjabi Adults. Journal of Applied Sciences, 11: 2843-2848.

DOI: 10.3923/jas.2011.2843.2848

URL: https://scialert.net/abstract/?doi=jas.2011.2843.2848

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