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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

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Published on: June 7, 2024

Predicting sasang constitution using body-shape information.

Eunsu Jang¹, Jun-Hyeong Do, Heejeong Jin

¹Division of Constitutional Medicine/Diagnosis Research Group, Korea Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Daejeon 305-811, Republic of Korea.

Evidence-Based Complementary and Alternative Medicine : Ecam

|July 14, 2012

Summary

This summary is machine-generated.

A new tool using body shape can predict Sasang constitution (SC), a type of Traditional Korean Medicine. It is more accurate for Tae-eumin types than Soyangin types.

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Area of Science:

Integrative and Complementary Medicine
Anthropometry
Personalized Medicine

Background:

Body measurements are crucial for disease diagnosis and typological classification.
Sasang constitutional medicine (SC), a form of Traditional Korean Medicine, is linked to body shape.
Developing objective tools for SC assessment is essential.

Purpose of the Study:

To evaluate the predictive capability of a Sasang constitutional analytic tool based on body shape information (SCAT-B).
To determine if SCAT-B can accurately predict Sasang constitution types.

Main Methods:

Collected body shape data from 2,677 subjects across 23 Oriental medical clinics.
Developed SCAT-B models for males and females using multinomial logistic regression.
Employed stepwise forward-variable selection with score statistic and Wald's test for model refinement.

Main Results:

The SCAT-B demonstrated varying predictive rates across Sasang constitution types in both training and test sets.
Predictive accuracy was higher for Tae-eumin (TE) types compared to Soyangin (SY) types.
A trend indicated that higher constitutional probability scores correlated with increased predictability.

Conclusions:

The Sasang constitutional analytic tool (SCAT-B) shows potential for predicting Sasang constitution based on body shape.
The tool appears relatively more predictive for the Tae-eumin type.
Predictive performance for the Soyangin type may require further improvement.