Molecular regulatory mechanisms and nursing preventive measures of depression-related thrombosis risk

Jing Fang (), Qunyan Shen () and Xinghui Lv ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 5, 2185-2205

Abstract: Depression, affecting over 280 million individuals globally, is increasingly linked to heightened thrombosis risk through molecular pathways such as inflammatory cytokine activation, platelet hyperreactivity, and endothelial dysfunction. This systematic review aims to explore the biological mechanisms of depression-induced thrombosis and assess the impact of nursing-led preventive measures. A structured search of PubMed, ScienceDirect, CINAHL, Google Scholar, and Web of Science was performed, identifying 40 high-quality studies for meta-analysis. Key findings indicate that endothelial dysfunction (Cohen’s d = 0.81, β = 0.499, p < 0.001) emerged as the strongest predictor of thrombosis, followed by inflammatory markers (Cohen’s d = 0.78, β = 0.438, p < 0.001) and platelet aggregation (Cohen’s d = 0.65, β = 0.363, p < 0.001). Although nursing interventions (β = 0.069, p = 0.139) demonstrated limited direct effect, their role in early screening, lifestyle modifications, and adherence monitoring remains crucial. The study underscores the need for interdisciplinary strategies, integrating psychiatric, cardiovascular, and nursing care to mitigate thrombotic risk in depression. Practical implications highlight the importance of routine thrombosis screening and structured nursing interventions in psychiatric settings to enhance patient outcomes. Further research should focus on biomarker-guided preventive strategies and randomized controlled trials to validate these findings.

Keywords: Biomechanics; depression; Endothelial dysfunction; Inflammation; Meta-analysis; Nursing interventions; Platelet aggregation; Thrombosis. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/7441/2556 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:5:p:2185-2205:id:7441

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().