ArticleComprehensive psychoneuroendocrinology2025
Systemic inflammatory indices and the risk of depression in individuals with sleep difficulties: A cohort study based on NHANES 2005-2020.
Article in Comprehensive psychoneuroendocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Association Between Systemic Inflammation Response Index and Specific Depressive Symptoms: Evidence From a Cross-Sectional Survey.Brain and behavior · 2026Article
- Association of Blood Cell-Derived Inflammatory Markers with Symptoms and Short-Term Treatment Response in Late-Life Depression.Neuropsychiatric disease and treatment · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep difficulties are common and often precede depressive disorders. We aimed to explore the associations between systemic inflammatory markers and depression risk in individuals with difficulty sleeping. We utilized data from the National Health and Nutrition Examination Survey (NHANES, 2005-2020), encompassing 7916 participants who reported having difficulty sleeping. The systemic inflammation response index (SIRI) and neutrophil‒platelet ratio (NPR) were calculated using peripheral blood cell counts. Odds ratios (ORs) and 95 % confidence intervals (CIs) of the SIRI/NPR for depression risk were calculated via logistic regression models. Restricted cubic spline (RCS) analysis was used to examine the dose‒response relationships between these indices and depression risk, whereas receiver-operating characteristic (ROC) analysis was used to evaluate their prognostic accuracy for depression risk. Participants in the highest SIRI and NPR quartile groups had significantly greater depression risk than those in the lowest quartile group did (OR (SIRI): 1.50, 95 % CI = 1.10-2.04; OR (NPR): 1.49, 95 % CI = 1.04-2.13). Subgroup analyses revealed consistent associations across different demographics and clinical subgroups. RCS analyses revealed a nonlinear association between depression risk and the SIRI (J-shaped, P nonlinearity <0.001) but not the NPR (P nonlinearity >0.05). ROC analysis revealed moderate discriminative ability for both the SIRI (AUC = 0.66, 95 % CI = 0.64-0.68) and the NPR (AUC = 0.65, 95 % CI = 0.63-0.67) in predicting depression among individuals with difficulty sleeping. These findings suggest that the SIRI and NPR are independently associated with increased depression risk among individuals with difficulty sleeping.
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