The DOI matches its Crossref record, with a small difference in title or year; 28 of the 28 references it cites were found in a registry or an index.
Insomnia and risk of cardiovascular disease: a meta-analysis
Abstract
OBJECTIVE: Increasing evidence suggests an association between insomnia and cardiovascular disease. We performed a systematic review with meta-analysis of all the available prospective studies that investigated the association between insomnia and risk of developing and/or dying from cardiovascular disease. DESIGN: Systematic review and meta-analysis of prospective cohort studies. METHODS: We conducted an electronic literature search through MedLine, Embase, Google Scholar, Web of Science, The Cochrane Library and bibliographies of retrieved articles up to December 2011. Studies were included if they were prospective, had assessment of insomnia or sleep complaints at baseline, evaluated subjects free of cardiovascular disease at baseline and measured the association between insomnia and risk of developing and/or dying from cardiovascular disease. RESULTS: After the review process 13 prospective studies were included in the final analysis. These studies included 122,501 subjects followed for a time ranging from three to 20 years. A total of 6332 cardiovascular events occurred during the follow-up. Insomnia was assessed through questionnaire and defined as either difficulty of initiating or maintaining sleep or presence of restless, disturbed nights. The cumulative analysis for all the studies under a random-effects model showed that insomnia determined an increased risk (+45%) of developing or dying from cardiovascular disease during the follow-up (relative risk 1.45, 95% confidence interval 1.29-1.62; p < 0.00001), with no evidence of heterogeneity across the studies (I 2: 19%; p = 0.14). CONCLUSION: Insomnia is associated with an increased risk of developing and/or dying from cardiovascular disease.
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“Although these studies have shown a significant association between insomnia, mainly “poor sleep”, and CVD risk, the effect sizes reported were modest and most studies did not include PSG and could not control for SDB.”
From Sleep: important considerations for the prevention of cardiovascular disease (2016) · cites this paper as [176]
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“and that for incident myocardial infarction (MI) and coronary heart disease (CHD) between 41% and 55%, respectively(176, 177)”
From Sleep: important considerations for the prevention of cardiovascular disease (2016) · cites this paper as [176]
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Metadata
- Authors
- Sofi, F., Cesari, F., Casini, A., Macchi, C., Abbate, R., & Gensini, G. F.
- Affiliations
- Azienda Ospedaliero-Universitaria Careggi (IT)
- Don Carlo Gnocchi Foundation (IT)
- University of Florence (IT)
- Corresponding author
- Sofi, Francesco
- Venue
- European Journal of Preventive Cardiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-08-31
- Volume
- 21
- Issue
- 1
- Pages
- 57-64
- ISSN
- 2047-4873 (ISSN-L)
- 2047-4881
- OpenAlex
- W2121052523
- Cited by
- 713
- References
- 28
- Citations by year
- 2026: 50 · 2025: 70 · 2024: 70 · 2023: 78 · 2022: 66 · 2021: 84 · 2020: 58 · 2019: 60 · 2018: 38 · 2017: 44 · 2016: 40 · 2015: 30 · 2014: 12 · 2013: 13
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Preventive Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- insomnia, cardiovascular disease, cardiovascular mortality, sleep disorders, sleep complaints, risk factors
- MeSH terms
- Cardiovascular Diseases, Humans, Sleep Initiation and Maintenance Disorders, Risk Factors, Sleep, Chi-Square Distribution, Odds Ratio, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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