Relationship between physical strength measurements and anthropometric variables: multivariate analysis

Abstract

Muscular/ physical strength are fundamental in order to satisfy basic needs for survival and productivity, especially among labourer populations in developing countries. Anthropometric variables found to be one of the key determinants of strength; however, the overall relationship between physical body dimension and strength were yet to be explored. Aim of the study was to explore the relationship between strength and anthropometric variables. Crosssectional data on strength (handgrip and back strength) and anthropometric measurements were taken from 536 healthy adult Santal labourers (Male=251, Female=285) of Birbhum district, West Bengal, India. Statistical analysis including Pearson’s correlation and canonical correlation analysis (CCA) were used. Strength measurements negatively correlated with age and positively correlated with most of anthropometric measurements. CCA between strength and anthropometry were 0.765 (p<0.001, explained 85.53% total variance) and 0.611 (p<0.001, explained 71.41% total variance) for males and females respectively. Cross-loading value of CCA indicates fat-free-mass, forearm circumference and weight for male and fat-free mass, chest circumference and wrist breadth for female were most important predictors of strength. The CCA model indicate that fat-free mass, forearm circumference, weight, chest circumference and wrist breadth were the most important anthropometric variables related to overall strength measurements of Santal labourer population. However, further researches require for generalizing this model.

The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis

“…In contrast to descriptive analysis, canonical analysis is less used in Medicine (13.85%) and Social Sciences (5.32%). The following works using canonical analysis deserve attention: a new insight from canonical correlation analysis when determining the relationship between the quality of work of medical professionals was presented by Wang W. et al [83]; canonical correlation analysis of factors that influence the quality of life among patients was carried out by Liu Y. et al [84]; the combination of canonical correlation analysis and holo-Hilbert spectral analysis was used by Lee P. et al [85]; a canonical correlation analysis for testing the specificity of environmental risk factors for development was used by Bignardi G. et al [86]; and canonical correlation analysis was applied in determining relationships between anthropometric variables by Malakar B. et al [87]. Other notable uses of canonical analysis include Lyeonov S. V. et al [88] and Gavurova B. et al [89].…”

“…Thus, the theoretical basis of the main constructions of the research model is based on well-known and proven methods of this branch of science, namely, cluster analysis , factor analysis , descriptive analysis, and canonical analysis [83][84][85][86][87][88][89]. It is also based on previous authors' research [46,47,90], although these sources have not yet been properly disseminated in the field of health protection and have not been applied in the proposed integrated form of modeling.…”