Evidence map›Paper›PMID 42104279›Full record

ArticleBMC cardiovascular disorders2026

Bidirectional associations between anxiety disorders and myocardial infarction: a retrospective longitudinal cohort study.

Hui-Fen Fang, Yi-Hsuan Hsu, Tirza Jo Lawrence, Tsai-Wei Huang, Min-Huey Chung

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Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Hui-Fen FangAdministration Department, Taipei Cancer Center, Taipei Medical University, Taipei, Taiwan.
Yi-Hsuan HsuSchool of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Xinyi District, Taipei City, 11031, Taiwan.
Tirza Jo LawrenceSchool of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Xinyi District, Taipei City, 11031, Taiwan.
Tsai-Wei HuangSchool of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Xinyi District, Taipei City, 11031, Taiwan. tsaiwei@tmu.edu.tw.
Min-Huey ChungSchool of Nursing, College of Nursing, Taipei Medical University, 250 Wuxing Street, Xinyi District, Taipei City, 11031, Taiwan. minhuey300@tmu.edu.tw.

Funding

Taipei Medical University Hospital 108TMU-TMUH-28
6 · The paper itself

Abstract

backgroundDespite anxiety and coronary heart disease being associated, longitudinal research investigating the bidirectional relationship between the formal diagnosis of anxiety disorders and myocardial infarction (MI) remains scarce.

objectiveTo investigate the bidirectional relationship between anxiety disorders and MI through a 15-year (2002-2016) longitudinal population-based retrospective cohort study using the National Health Insurance Research Database.

methodsWe selected 34,979 patients diagnosed with an anxiety disorder based on their claim records during 2002-2004 and 5,189 patients with a diagnosis of MI based on their claim records during 2002-2004. In both analyses, the size of the comparison group was four times larger than that of the exposed group. A Cox proportional hazards model was used to estimate adjusted hazard ratios for developing anxiety disorders or MI after adjusting for sociodemographic factors.

resultsIn the first analysis, patients with anxiety disorders had a statistically significant 1.28-fold higher risk of MI than those without. Among the patients with anxiety, those with higher age, male sex, or lower comorbidity had a significantly higher risk of MI after adjusting for sociodemographic variables. In the second analysis, patients with MI had a statistically significantly 2.08-fold higher risk of anxiety disorders than those without MI. Among the patients with MI, women and patients with lower comorbidities had a significantly higher risk of anxiety disorders after adjusting for sociodemographic variables.

conclusionOur results demonstrate a meaningful connection between anxiety disorders and MI. By recognizing this relationship, healthcare providers can develop constructive strategies to effectively manage both conditions and improve patient outcomes.

Indexed as

Anxiety DisordersMyocardial InfarctionAdultAgedComorbidityDatabases, FactualFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSex FactorsTaiwanAnxiety disordersLongitudinal studyMyocardial infarctionPopulation-based study

Identifiers

PMID42104279
PMCPMC13321595

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