Multivariate Relationships Between Physiologic and Anthropometric Variables: A Data Based Analysis

Baidyanath Pal, Babulal Seal


To establish the relationship between two sets of variables measured on the same subject, canonical correlation analysis (CCA) is the most appropriate and popular method. In this study we consider two sets of variables which consist of different types of measurements. Here one set has three physiologic variables whereas the other set has eighteen anthropometric variables (mentioned in section 3.1 with abbreviations). The aim of this study is to evaluate the relationship between two sets and to find out the factors which influence the relationship between the two sets. This study has revealed that first two canonical correlations were significant and WT, APC, TVC, CCN, MUAC and WC (anthropometric variables) are the risk factors for SBP and DBP (physiologic variables). Furthermore considering these risk factors, General Linear Model (GLM) indicated that CCN and WC are highly significant factors which influence the physiologic set. Thus the model (CCA+GLM) provide the most important factors which influence physiologic variables.

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International Journal of Statistics and Probability   ISSN 1927-7032(Print)   ISSN 1927-7040(Online)

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