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Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.

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Title: Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.
Authors: ShangGuan Y; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Lin Z; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Huang K; Department of Health and Physical Education, The Education University of Hong Kong, Tai Po, Hong Kong., Sim YJ; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Hou Y; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Yan L; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China., Wu K; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea. Electronic address: wuk9388@gmail.com., Li H; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China. Electronic address: lihuan1317@sina.com.
Source: Journal of affective disorders [J Affect Disord] 2026 Feb 01; Vol. 394 (Pt A), pp. 120555. Date of Electronic Publication: 2025 Oct 24.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.
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  Data: <searchLink fieldCode="AU" term="%22ShangGuan+Y%22">ShangGuan Y</searchLink>; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lin+Z%22">Lin Z</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Huang+K%22">Huang K</searchLink>; Department of Health and Physical Education, The Education University of Hong Kong, Tai Po, Hong Kong.<br /><searchLink fieldCode="AU" term="%22Sim+YJ%22">Sim YJ</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hou+Y%22">Hou Y</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yan+L%22">Yan L</searchLink>; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China.<br /><searchLink fieldCode="AU" term="%22Wu+K%22">Wu K</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea. Electronic address: wuk9388@gmail.com.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China. Electronic address: lihuan1317@sina.com.
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  Data: <searchLink fieldCode="JN" term="%227906073%22">Journal of affective disorders</searchLink> [J Affect Disord] 2026 Feb 01; Vol. 394 (Pt A), pp. 120555. <i>Date of Electronic Publication: </i>2025 Oct 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%2FNorth-Holland+Biomedical+Press%22">Elsevier/North-Holland Biomedical Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7906073 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2517 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201650327%22">01650327 </searchLink><i>NLM ISO Abbreviation: </i>J Affect Disord <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.jad.2025.120555
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      – Code: eng
        Text: English
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        StartPage: 120555
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      – TitleFull: Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.
        Type: main
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            NameFull: ShangGuan Y
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            NameFull: Lin Z
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            NameFull: Huang K
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            NameFull: Yan L
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            – D: 01
              M: 02
              Text: 2026 Feb 01
              Type: published
              Y: 2026
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            – Type: issn-electronic
              Value: 1573-2517
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              Value: 394
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              Value: Pt A
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            – TitleFull: Journal of affective disorders
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