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Updated: Feb 10, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Insomnia and Cardiovascular Disease: Untangling a Complex Relationship
Martino F Pengo1,2, Sogol Javaheri3, Giuseppe Maiolino4
1Department of Cardiology, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Insights
Insomnia, a common sleep disorder, is linked to increased cardiovascular disease (CVD) risk. While evidence suggests a causal relationship, more research is needed to confirm if treating insomnia reduces this risk.
Area of Science:
- Cardiology
- Sleep Medicine
- Genetics
Background:
- Insomnia affects one-third of adults and is linked to cardiovascular disease (CVD).
- CVD is a leading cause of global mortality.
- The relationship between insomnia and CVD requires further investigation.
Purpose of the Study:
- To review evidence on insomnia as a causal risk factor for CVD.
- To integrate epidemiological, genetic, and mechanistic data.
- To assess the impact of insomnia treatment on cardiovascular risk.
Main Methods:
- Narrative review of prospective cohort studies and meta-analyses.
- Inclusion of Mendelian randomization studies.
- Examination of biological mechanisms and treatment trial data.
Main Results:
- Insomnia is consistently associated with increased risks of hypertension, myocardial infarction, stroke, heart failure, and cardiovascular mortality.
- Genetic liability to insomnia correlates with higher cardiometabolic risk.
- Biological mechanisms include autonomic imbalance, HPA axis activation, and inflammation.
- Evidence for treatment reducing cardiovascular risk is limited; some treatments may pose harm.
Conclusions:
- Insomnia is a plausible and potentially causal risk factor for CVD.
- Definitive proof of cardiovascular risk reduction through insomnia treatment is lacking.
- Further trials are needed to determine if effective insomnia treatment lowers cardiovascular risk.
Abstract:
Insomnia is the most prevalent sleep disorder, affecting up to one third of the adult population and is increasingly recognised as a potential contributor to cardiovascular disease (CVD), a leading cause of global morbidity and mortality. This narrative review examines the complex relationship between insomnia and CVD, integrating epidemiological, genetic and mechanistic evidence to assess whether insomnia represents a causal cardiovascular risk factor. Large prospective cohort studies and meta-analyses consistently show that insomnia symptoms and clinically diagnosed insomnia are associated with increased risks of hypertension, myocardial infarction, stroke, heart failure and cardiovascular mortality, with stronger associations observed in individuals with short sleep duration or persistent insomnia. Mendelian randomization studies involving millions of participants further support a likely causal link, suggesting that genetic liability to insomnia increases the risk of multiple cardiometabolic outcomes. Biological plausibility is supported by evidence of autonomic imbalance, hypothalamic-pituitary-adrenal axis activation, inflammation and adverse blood pressure profiles in individuals with insomnia. However, insomnia is a heterogeneous condition, frequently coexisting with other sleep disorders and influenced by psychosocial and circadian factors, which complicates causal inference. Importantly, evidence that treatment of insomnia reduces cardiovascular risk remains limited. While cognitive behavioural therapy for insomnia improves sleep outcomes and some cardiometabolic biomarkers, randomised trials have not demonstrated clear benefits on blood pressure or other cardiovascular endpoints and some pharmacological treatments may even be associated with harm. Overall, current evidence suggests that insomnia is a plausible and potentially causal risk factor for CVD, but definitive proof of reversibility through treatment is lacking. Well-powered, rigorously designed trials targeting patients with clinically defined insomnia are needed to determine whether effective insomnia treatment can meaningfully reduce cardiovascular risk and inform future prevention strategies.
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