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

Lisheng Yu, Shunshun Cao, Botian Song, Yangyang Hu

Neurosurgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.Neurosurgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. · pubmed

Paper

Abstract

Testosterone deficiency (TD) is a clinically significant condition strongly associated with aging and metabolic syndrome. While previous studies have established links between muscle mass and TD, evidence regarding the relationship between muscle quality index (MQI) and TD remains limited. This study aimed to investigate the association between MQI and TD in adult males in the United States and to develop an interpretable machine learning (ML) model based on SHapley Additive exPlanation (SHAP) for predicting TD risk.

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Research summary

The study investigates the association between muscle quality index and testosterone deficiency in adult males. This research is relevant as it explores a potential link between muscle quality and testosterone levels, which could have implications for understanding age-related metabolic changes and their impact on longevity.

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