Evidence map›Paper›PMID 41794688›Full record

ArticleBMC psychiatry2026

Association between the oxidative balance score and depressive symptoms in adults with metabolic syndrome: a cross-sectional study from NHANES.

Jinshun You, Jiaqi Wu, Lingfang Zheng, Jingyi Pei, Shujie Xia, Shijie Qiao

Abstract read
In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jinshun YouCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.
Jiaqi WuCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.
Lingfang ZhengCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.
Jingyi PeiCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.
Shujie XiaCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China. xiashujie121@126.com.
Shijie QiaoCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.

Funding

Capacity Building and Continuing Education Center of the National Health Commission No.GWJJMB202510024190Fujian University of Traditional Chinese Medicine No. XQC2023002National Natural Science Foundation of China No. 82204977Open Project of the State Key Laboratory of Traditional Chinese Medicine Syndrome, Ministry of Science and Technology No.SKLKY2025B0015
6 · The paper itself

Abstract

objectiveThis study investigated the association between the Oxidative Balance Score (OBS) and the odds of depressive symptoms in adults with metabolic syndrome (MetS) using National Health and Nutrition Examination Survey data (2007-2018), and employed machine learning to enhance predictive insights.

methodsWe analyzed 6,244 U.S. adults with MetS. Multivariable logistic regression assessed the relationship between the OBS and the odds of depressive symptoms in U.S. adults with MetS, with subgroup and Restricted cubic spline (RCS) regression analyses. Four machine learning models (Decision Tree, k-Nearest Neighbors (KNN), Random Forest, and Extreme Gradient Boosting (XGBoost)) were developed and interpreted using Shapley Additive Explanations (SHAP).

resultsAmong the participants, 1052 individuals (16.85%) were identified as having depressive symptoms. Significant differences were observed between participants with MetS with depressive symptoms and those with MetS alone in terms of age, gender, race, poverty-to-income ratio (PIR), smoking status, educational level, marital status, hypertension, diabetes, and OBS. No significant difference was found in abdominal obesity. In the unadjusted model, partially adjusted models, and the fully adjusted model, higher OBS were consistently associated with reduced odds of depressive symptoms with MetS. Subgroup analyses revealed no significant differences in the association between OBS and depressive symptoms across the examined strata among adults with MetS. RCS indicated a linear negative correlation. Machine learning models demonstrated strong performance, with Random Forest achieving the highest AUC (0.914). SHAP analysis identified educational level, marital status, and gender as the top predictors.

conclusionA higher OBS is associated with reduced odds of depressive symptoms in U.S. adults with MetS, highlighting the significant role of socioeconomic factors. These findings align with existing evidence and warrant prospective validation.

Indexed as

DepressionMetabolic SyndromeOxidative StressAdultCross-Sectional StudiesFemaleHumansMachine LearningMaleMiddle AgedNutrition SurveysUnited StatesDepressive symptomsDietMetabolic syndromeNHANESOxidative balance score

Identifiers

PMID41794688
PMCPMC13352698

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.