Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS

The nomogram and SHAP visualization provide reliable tools for predicting depression in patients with MetS. The clinical utility of models applying LR and XGBoost is noteworthy, offering crucial insights for earlier detection and preventative actions for community staff and doctors.

Authors

Yisi Lin
Jiahao Chen (ORCID: https://orcid.org/0000-0001-7563-8023)
Chen Hu (ORCID: https://orcid.org/0000-0003-0553-969X)
Rui Hu (ORCID: https://orcid.org/0000-0002-5081-2256)

Institutions

Wenzhou Medical University (CN)
Ruian People's Hospital (CN)
Jinhua Academy of Agricultural Sciences (CN)
Jinhua Central Hospital (CN)
Ningbo First Hospital (CN)
Zhejiang University (CN)

Publication Details

Journal: BMC Psychiatry
Published: 2025-10-14
DOI: https://doi.org/10.1186/s12888-025-07434-7
Citations: 3
Primary Topic: Cardiovascular Health and Risk Factors
Type: article
Field-Weighted Citation Impact: 4.16

Funders

Bijzonder Onderzoeksfonds UGent

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article

Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS

Yisi Lin, Jiahao Chen, Chen Hu, Rui Hu

Oct 14, 2025

3 citations

BMC Psychiatry

Cardiovascular Health and Risk Factors

4.16

article

Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS

Yisi Lin, Jiahao Chen, Chen Hu, Rui Hu

October 14, 2025article en

3 citations

Abstract

The nomogram and SHAP visualization provide reliable tools for predicting depression in patients with MetS. The clinical utility of models applying LR and XGBoost is noteworthy, offering crucial insights for earlier detection and preventative actions for community staff and doctors.

BMC PsychiatryVol. 25(1)

Wenzhou Medical University (CN), Ruian People's Hospital (CN), Jinhua Academy of Agricultural Sciences (CN), Jinhua Central Hospital (CN), Ningbo First Hospital (CN), Zhejiang University (CN)

Bijzonder Onderzoeksfonds UGent

Openalex Percentile: Top 5%

Cardiovascular Health and Risk Factors

4.16

DOI Open Access PDF OpenAlex

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Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS — Yisi Lin, Jiahao Chen, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS