ArticleEuropean journal of medical research2025
Assessing the association between multiple indicators of inflammation and sleep disorders in young and middle-aged women: insights from traditional and machine learning approaches.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Association of lipoprotein(a) and composite inflammatory indices with functional outcomes in acute ischemic stroke: a prospective cohort study.Lipids in health and disease · 2026Article
- Assessing health, wellbeing, and working life impacts of a 4-day week: a multimodal protocol.Frontiers in psychology · 2026Article
- Article
- Dietary antioxidants and CKM-depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms.European journal of medical research · 2025Observational
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11 authors.
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Abstract
backgroundInteractions between inflammation and sleep disorders are increasingly recognized; however, limited research comprehensively evaluates the association between multiple inflammatory indicators and sleep disorders.
methodsThis cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES, 2015-2020) involving 2,342 participants. Machine learning algorithms were employed to identify inflammatory indicators with potential predictive value for sleep disorders, followed by Shapley value analysis to quantify their contributions. Weighted logistic regression and restricted cubic spline models were applied to examine associations between key inflammatory markers and sleep disorders. Mediation analysis was conducted to assess the role of depression in these relationships. Receiver operating characteristic (ROC) curves were generated to compare the predictive performance of individual inflammatory markers. Sensitivity analyses using E-values were performed to evaluate the robustness of findings against unmeasured confounding.
resultsAlpha-1-acid glycoprotein, C-reactive protein, and Naples Prognosis Score all showed significant positive correlations with sleep disorders. Among these, AGP and CRP contributed most significantly to the model (Shap value≈0.23). Furthermore, mediation analysis indicated that depression mediated 15.1% of the total effect of AGP on sleep disorders.
conclusionsThe study confirms a significant positive association between serum AGP levels and sleep disorders. Among the inflammatory markers evaluated, AGP exhibited the strongest correlation, underscoring its potential clinical relevance in the pathophysiology of sleep disturbances.
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