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

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.

Authors

Institutions

Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-05-22
DOI
https://doi.org/10.55214/25768484.v9i5.7441
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Qunyan Shen, Xinghui Lv, Jing Fang
Edelweiss Applied Science and Technology
Cardiac Health and Mental Health
article

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

Qunyan Shen, Xinghui Lv, Jing Fang
article en

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.

Edelweiss Applied Science and TechnologyVol. 9(5)
Sir Run Run Shaw Hospital (CN)
Openalex Percentile: Top 79%
Cardiac Health and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Molecular regulatory mechanisms and nursing preventive measures of depression-related thrombosis risk — Qunyan Shen, Xinghui Lv, et al. · Edelweiss Applied Science and Technology (2025) | TGRS Research Map | TGRS