Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods
Our findings indicate that MQI is an independent and reliable predictor of TD in males. The interpretable LGBM model provides a cost-effective and clinically applicable tool for early TD risk assessment. These results underscore the importance of muscle quality in testosterone regulation and may inform preventive strategies to mitigate TD risk in adult males.
Authors
- Shunshun Cao (ORCID: https://orcid.org/0000-0003-0358-2782)
- Lisheng Yu (ORCID: https://orcid.org/0000-0002-5482-6954)
- Yangyang Hu (ORCID: https://orcid.org/0000-0001-6710-7425)
Institutions
- Wenzhou Medical University (CN)
- Wenzhou Municipal Sci-Tech Bureau (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1186/s12889-025-24212-y
- Primary Topic
- Hormonal and reproductive studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00