Implementation of whole body scanner for determining somatotype index at Chang Gung Memorial Hospital

Body mass index (BMI) and waist-hip ratio (WHR) using 1-dimensional circumference data have been proven to be highly related to blood pressure and total cholesterol; these 2 indices have been widely used as health indicators in preventive diagnosis and health examination. Sophisticated software, which allows calculation of the triangular mesh related to the body surface in 3D space, is capable of computing the circumference, width, sectional surface, volume, and surface area of the body.

Chang Gung Whole Body Scanner (CGWBS) was used to capture 3D whole body surface images. In this study, the human body was divided into 10 segments consisting of the head, breast, wrist, hip, upper arm, forearm, hand, thigh, calf, and foot. Five independent assessments were made on a total of 32 anthropometric sites, including 12 circumferences, 3 widths, 3 profile areas, 7 surface areas, and 7 volumes. In this study, the somatotype index (SI) was computed through anthropometric data after 1,323 subjects were investigated. Correlation analysis was used to describe the relationship between BMI, WHR, SI, and anthropometric data. One-way analysis of variance (ANOVA) and Duncan's multiple range tests were used to examine differences between examination variables across sex and SI groups.

This study found 4 somatotypes from anthropometric data. SI determined by CGWBS has better correlation with anthropometry than WHR or BMI. Of the 644 male subjects, 155 were in the ectomorph group, 232 in the semi-mesomorph group, 136 in the full-mesomorph group, and 121 in the endomorph group. Of the 679 female subjects, 160 were in the ectomorph group, 235 in the semi-mesomorph group, 168 in the full-mesomorph group, and 116 in the endomorph group.

The results show that SI has great potential to perform precise somatotype classification.