Evidence map›Paper›PMID 41111899›Full record

ArticleGlobal heart2025

Exploring the Causal Relationships and Mediating Factors Between Mental Disorders and Hypertension: A Multivariable Mendelian Randomization Study.

Kunyan Li, Chun Yin, Hao Yang, Zhichun Gao, Wang Dong, Jun Jin

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Article in Global heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kunyan Li *Department of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-5901-9780
Chun Yin *Department of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.ORCID 0000-0001-8462-4096
Hao YangDepartment of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.ORCID 0009-0001-5482-4107
Zhichun GaoDepartment of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-0200-0173
Wang DongDepartment of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Jun JinDepartment of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have demonstrated a correlation between mental disorders and hypertension. However, the direction of this association and the specific risk factors that mediate the causal effects remain unknown. The present study aimed to investigate the causal relationship between mental disorders and hypertension, as well as identify the risk factors that mediate it. Methods: We used univariate Mendelian randomization (UVMR) and multivariate Mendelian randomization (MVMR) to evaluate the causal relationship between depression, anxiety, or panic attacks and hypertension using the summarized statistics from eleven extensive genome-wide association studies in European populations. Furthermore, MVMR was used to evaluate seven potential mediators of this association and calculate their mediated proportions. The robustness of our findings was evaluated using sensitivity analyses. Results: UVMR analysis revealed that genetically predicted higher risk of depression (OR: 1.140, 95%CI: [1.075, 1.210], p < 0.001), anxiety (OR: 2.679, 95%CI: [1.328, 5.408], p < 0.01), and panic attacks (OR: 1.054, 95%CI: [1.016, 1.092], p < 0.01) were associated with increased risk of hypertension. Higher risk of hypertension was also associated with higher risk of depression (OR: 1.101, 95%CI: [1.009, 1.202], p < 0.05). Of seven candidate mediators, two met the screening criteria and were included in the mediation MR analyses. The MVMR analysis revealed that even after adjusting for depression, there was a persistent causal relationship between type 2 diabetes and hypertension (OR: 1.010, 95%CI: [1.005, 1.015], p < 0.001). Similarly, the causal relationship between smoking and hypertension remained significant after accounting for depression (OR: 1.037, 95%CI: [1.015, 1.060], p < 0.001). Mediation analyses indicated that diabetes and smoking have mediation effects of 8.71% and 5.79% between depression and hypertension, with mediation proportions of 41.7% and 27.7%, respectively. Conclusion: This study provided compelling evidence supporting a bidirectional phenotypic association between depression and hypertension, while highlighting diabetes and smoking as significant mediators in the association's pathway to hypertension development.

Indexed as

HypertensionMendelian Randomization AnalysisMental DisordersFemaleGenome-Wide Association StudyHumansMaleRisk Factorsdepressionhypertensionmediation analysismental disordersMultivariable Mendelian randomization

Identifiers

PMID41111899
PMCPMC12533420

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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.