Dietary antioxidants and CKM–depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms

Specific anthocyanidins were cross-sectionally associated with lower CKM-depression comorbidity and, for petunidin and total anthocyanidins, with lower mortality hazard. Given the observational design and potential residual confounding, these findings should be interpreted as associations rather than causal or protective effects.

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Publication Details

Journal
European journal of medical research
Published
2025-11-27
DOI
https://doi.org/10.1186/s40001-025-03524-0
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
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article

Dietary antioxidants and CKM–depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms

Juncang Wu, Xun He, Qiuwan Liu, Jie Hu et al.
European journal of medical research
Metabolomics and Mass Spectrometry Studies
article

Dietary antioxidants and CKM–depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms

Juncang Wu, Xun He, Qiuwan Liu, Jie Hu, Yu Wang, Yueyu Zhang, Kangrui Zhang, Sheng Wang, Hongwei Liu, Xinyi Chen, Yi Tang, Z D Yue, Zhengfei Ye
article en

Abstract

Specific anthocyanidins were cross-sectionally associated with lower CKM-depression comorbidity and, for petunidin and total anthocyanidins, with lower mortality hazard. Given the observational design and potential residual confounding, these findings should be interpreted as associations rather than causal or protective effects.

European journal of medical researchVol. 30(1)
Shanxi Medical University (CN), Anhui Medical University (CN), Bozhou People's Hospital (CN), Anhui Provincial Hospital (CN), Third People's Hospital of Hefei (CN)
Openalex Percentile: Top 66%
Metabolomics and Mass Spectrometry Studies
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Dietary antioxidants and CKM–depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms — Juncang Wu, Xun He, et al. · European journal of medical research (2025) | TGRS Research Map | TGRS