Body Mass Index and Facial Cues in Sasang Typology for Young and Elderly Persons

Author:

Pham Duong Duc123,Do Jun-Hyeong1,Ku Boncho1,Lee Hae Jung1,Kim Honggie4,Kim Jong Yeol1

Affiliation:

1. Department of Medical Research, Korea Institute of Oriental Medicine (KIOM), 461-24 Jeonmin-dong, Yuseong-gu, Daejeon 305-811, Republic of Korea

2. Department of Korean Traditional Medicine and Biotechnology, University of Science and Technology, 176 Gajung-dong, 217 Gajung-ro, Yuseong-gu, Daejeon 305-350, Republic of Korea

3. Department of Internal Medicine, National Hospital of Traditional Medicine, 29 Nguyen Binh Khiem, Hanoi 112611, Vietnam

4. Department of Information and Statistic, Chungnam National University, 79 Daehang-ro, Yuseong-gu, Daejeon 305-764, Republic of Korea

Abstract

Facial characteristics may provide reliable information giving an insight into the inner nature of an individual. This study examines the differences in widely used facial metrics, including cheek-to-jaw width ratio (CJWR), width-to-height ratio (WHR), perimeter-to-area ratio (PAR), and facial masculinity indexes across Sasang constitutional types, to investigate the association between these facial cues and body mass index (BMI) and develop a predictive model for Sasang typing. 2D images of 911 participants were analyzed. The results indicated that TaeEum (TE) type generally has a squarer face, with the male TE type having a squarer and wider face than that of both SoYang (SY) and SoEum (SE) types. Male TE type has longer eyes than that of the SE type, and the lower face of the female TE type is longer than that of the SY type. PAR, WHR, CJWR, and eye size had associations with BMI, and the magnitude of correlation of CJWR in Korean men were twofold higher than that of the Caucasian and African men. BMI and facial metrics including PAR, WHR, CJWR, and eye size were good predictors for TE type, and the most parsimonious model for TE typing included BMI and CJWR with high predictive performances.

Funder

National Research Foundation of Korea

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

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1. AI-Integrated Single Platform to Enhance Personal Wellbeing;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

2. Facial features analysis of Sasang typology using facial images: A study on Caucasian American and native Korean populations;European Journal of Integrative Medicine;2023-01

3. An Approach to Estimate Body Mass Index Using Facial Features;Proceedings of International Conference on Computational Intelligence and Data Engineering;2023

4. BMI Estimation from 2D Face Images Using Support Vector Machine;2022 6th International Conference on Communication and Information Systems (ICCIS);2022-10-14

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