Related Experiment Video
Updated: Aug 31, 2025

Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model
Published on: September 8, 2023
Factors Associated With Trabecular Bone Score and Bone Mineral Density; A Machine Learning Approach
Fahimeh Moafian1, Payam Sharifan2, Reza Assaran Darban3
1Department of Pure Mathematics, Center of Excellence in Analysis on Algebraic Structures (CEAAS), Ferdowsi University of Mashhad, P.O. Box 1159, Mashhad 91775, Iran; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Serum vitamin D, pro-oxidant-oxidant balance (PAB), and physical activity level (PAL) are key factors influencing bone health, including trabecular bone score (TBS) and bone mineral density (BMD). These insights were identified using advanced XGBoost modeling in the SUVINA study.
Area of Science:
- Bone health research
- Biomedical data analysis
- Nutritional science
Background:
- Bone health is influenced by various factors, including physical activity, vitamin D, and lifestyle.
- Trabecular bone score (TBS) and bone mineral density (BMD) are key indicators of bone health.
- Identifying critical factors affecting bone health is crucial for developing targeted interventions.
Purpose of the Study:
- To determine the most significant factors associated with TBS and BMD within the SUVINA dataset.
- To leverage advanced modeling techniques for identifying key predictors of bone health.
Main Methods:
- Utilized data from the Survey of Ultraviolet Intake by Nutritional Approach (SUVINA study) comprising 306 subjects.
- Employed the XGBoost modeling software to analyze all available parameters.
- Focused on identifying the most important features related to TBS and BMD across various skeletal sites.
Main Results:
- XGBoost modeling achieved high accuracy (90-93%) in identifying key variables for TBS and BMD.
- Serum vitamin D levels, pro-oxidant-oxidant balance (PAB), and physical activity level (PAL) emerged as the most influential factors.
- These factors were consistently associated with bone indices across different body sites.
Conclusions:
- XGBoost is a highly effective tool for identifying critical determinants of bone health, with >90% accuracy for TBS and BMD.
- Serum vitamin D, PAB, and PAL are identified as the primary modifiable factors impacting bone health.
- These findings highlight the importance of vitamin D status, oxidative balance, and physical activity in maintaining bone integrity.

