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Coffee consumption and risk of total and cardiovascular mortality among patients with type 2 diabetes
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Aims/hypothesis Higher habitual coffee drinking has been associated with a lower risk of developing type 2 diabetes. The relation between coffee consumption and risk of cardiovascular disease (CVD) has been examined in many studies, but the issue remains controversial. This study was designed to assess the association between coffee consumption and CVD mortality among patients with type 2 diabetes.Methods We prospectively followed 3,837 randomly ascertained Finnish patients with type 2 diabetes aged 25 to 74 years. Coffee consumption and other study parameters were determined at baseline. The International Classification of Diseases was used to identify CHD, CVD and stroke cases using computerised record linkage to the national Death Registry. The associations between coffee consumption at baseline and risk of total, CVD, CHD, and stroke mortality were analysed by using Cox proportional hazards models.Results During the average follow-up of 20.8 years, 1,471 deaths were recorded, of which 909 were coded as CVD, 598 as CHD and 210 as stroke. The respective multivariate-adjusted hazard ratios in participants who drank 0-2, 3-4, 5-6, and > or =7 cups of coffee daily were 1.00, 0.77, 0.68 and 0.70 for total mortality (P<0.001 for trend), 1.00, 0.79, 0.70 and 0.71 for CVD mortality (P=0.006 for trend), 1.00, 0.78, 0.70 and 0.63 for CHD mortality (p=0.01 for trend), and 1.00, 0.77, 0.64 and 0.90 for stroke mortality (p=0.12 for trend).Conclusions/interpretation In this large prospective study we found that in type 2 diabetic patients coffee drinking is associated with reduced total, CVD and CHD mortality.
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“the RR was 0.91 (95% CI, 0.59 to 1.40) for age ≥ 65 years.”
From Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose–Response Meta-Analysis of Prospective Cohort Studies (2014) · cites this paper as [29]
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“the RR of CVD was 0.96 (95% CI, 0.65 to 1.42) for age < 65 years”
From Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose–Response Meta-Analysis of Prospective Cohort Studies (2014) · cites this paper as [29]
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Metadata
- Authors
- Bidel, S., Hu, G., Qiao, Q., Jousilahti, P., Antikainen, R., & Tuomilehto, J.
- Affiliations
- University of Helsinki (FI)
- Tampere University (FI)
- Corresponding author
- Bidel, S.
- Venue
- Diabetologia
- Published
- 2006-09-21
- Volume
- 49
- Issue
- 11
- Pages
- 2618-2626
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2131410623
- Cited by
- 107
- References
- 54
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 9 · 2020: 6 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 8 · 2014: 7 · 2013: 11 · 2012: 10
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Foundation for Cardiovascular Research
- Academy of Finland (46558, 204274, 205657)
- Juho Vainion Säätiö
- Sydäntutkimussäätiö
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Coffee research and impacts
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- coffee consumption, type 2 diabetes, cardiovascular mortality, coronary heart disease mortality, stroke mortality, all-cause mortality, cardiovascular disease, mortality risk
- MeSH terms
- Adult, Cardiovascular Diseases, Coffee, Coronary Disease, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Female, Finland, Humans, Male, Middle Aged, Prospective Studies, Surveys and Questionnaires, Body Mass Index, Risk Assessment
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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.
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