Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES.
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| Title: | Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES. |
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| Authors: | ShangGuan Y; Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Wu K; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Li D; School of Physical Education and Health, Zhaoqing University, Zhaoqing, China., Sim YJ; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Zhang C; Department of Global Sports Industry, Hanyang University, Seoul, Republic of Korea., Lin Z; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Yan L; Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.; Department of Articular Orthopedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China. |
| Source: | CNS neuroscience & therapeutics [CNS Neurosci Ther] 2026 Jun; Vol. 32 (6), pp. e70961. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101473265 Publication Model: Print Cited Medium: Internet ISSN: 1755-5949 (Electronic) Linking ISSN: 17555930 NLM ISO Abbreviation: CNS Neurosci Ther Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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