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.

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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
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article

Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods

Shunshun Cao, Lisheng Yu, Yangyang Hu
BMC Public Health
Hormonal and reproductive studies
article

Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods

Shunshun Cao, Lisheng Yu, Yangyang Hu
article en

Abstract

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.

BMC Public HealthVol. 25(1)
Wenzhou Medical University (CN), Wenzhou Municipal Sci-Tech Bureau (CN)
Openalex Percentile: Top 69%
Hormonal and reproductive studies
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