Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)

<Previous Article In Volume
Next Article In Volume>

Abdomen Together with Waist-Hip Ratio as Prediction of Body Fat Percentage

Authors
Sane Yu1, *, Wanus Srimaharaj1
1Payap University, International College, Super-highway Chiang Mai – Lumpang Road Amphur, Mueang Chiang Mai District, Chiang Mai, Thailand, 50000
*Corresponding author. Email: sane_yu@payap.ac.th
Corresponding Author
Sane Yu
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-831-8_35How to use a DOI?
Keywords
Abdomen size; Weight-Hip-Ratio; BMI; K-mean; Eulidean Distance
Abstract

Formulas for body fat percentage such as the Siri and U.S. Navy methods require multiple measurements or assumptions about body density, making them less practical in everyday settings. Therefore, Body Mass Index (BMI) has been widely used to estimate obesity and body fat pacentage; however BMI’s accuracy has been increasingly questioned due to their inability to account for fat distribution and body composition. This study proposes a simpler alternative using only abdomen circumference and waist-hip ratio (WHR) for body fat prediction. Using a dataset of 252 samples from a publicly available body composition dataset, key features were engineered and standardized. K-Means clustering revealed clear groupings based on body composition, while Euclidean distance analysis demonstrated that abdomen circumference had the closest alignment with body fat percentage. Specifically, abdomen measurements achieved 45.5% lower distance than BMI, and a combination of abdomen and WHR further improved prediction by 49.1% over BMI. The results indicate that central adiposity measures provide significantly more accurate estimations of body fat, supporting their prioritization over BMI in clinical and predictive health applications.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
Series
Advances in Health Sciences Research
Publication Date
31 August 2025
ISBN
978-94-6463-831-8
ISSN
2468-5739
DOI
10.2991/978-94-6463-831-8_35How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sane Yu
AU  - Wanus Srimaharaj
PY  - 2025
DA  - 2025/08/31
TI  - Abdomen Together with Waist-Hip Ratio as Prediction of Body Fat Percentage
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 289
EP  - 296
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_35
DO  - 10.2991/978-94-6463-831-8_35
ID  - Yu2025
ER  -