Cited by 565Coffee research and impactsNutritional Studies and DietAlcohol Consumption and Health Effects

The DOI matches its Crossref record, with a small difference in title or year; 74 of the 74 references it cites were found in a registry or an index; none of the 41 sources its claims cite is checked for support yet.

Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose–Response Meta-Analysis of Prospective Cohort Studies

Open access
Ding, Ming, Bhupathiraju, Shilpa N., Satija, Ambika, van Dam, Rob M., Hu, Frank B.·2014·Circulation

Abstract

Background—: Considerable controversy exists on the association between coffee consumption and cardiovascular disease (CVD) risk. A meta-analysis was performed to assess the dose–response relationship of long-term coffee consumption with CVD risk. Methods and Results—: PubMed and EMBASE were searched for prospective cohort studies of the relationship between coffee consumption and CVD risk, which included coronary heart disease, stroke, heart failure, and CVD mortality. Thirty-six studies were included with 1 279 804 participants and 36 352 CVD cases. A nonlinear relationship of coffee consumption with CVD risk was identified ( P for heterogeneity=0.09, P for trend <0.001, P for nonlinearity <0.001). Compared with the lowest category of coffee consumption (median, 0 cups per day), the relative risk of CVD was 0.95 (95% confidence interval, 0.87–1.03) for the highest category (median, 5 cups per day) category, 0.85 (95% confidence interval, 0.80–0.90) for the second highest category (median, 3.5 cups per day), and 0.89 (95% confidence interval, 0.84–0.94) for the third highest category (median, 1.5 cups per day). Looking at separate outcomes, coffee consumption was nonlinearly associated with both coronary heart disease ( P for heterogeneity=0.001, P for trend <0.001, P for nonlinearity <0.001) and stroke ( P for heterogeneity=0.07, P for trend <0.001, P for nonlinearity <0.001; P for trend differences >0.05) risks. Conclusions—: A nonlinear association between coffee consumption and CVD risk was observed in this meta-analysis. Moderate coffee consumption was inversely significantly associated with CVD risk, with the lowest CVD risk at 3 to 5 cups per day, and heavy coffee consumption was not associated with elevated CVD risk.

Overview

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Written from the paper’s full text.

TL;DR

This systematic review and dose–response meta-analysis found a non-linear, U-shaped association between long-term coffee consumption and cardiovascular disease risk, with the lowest risk at 3 to 5 cups/day. Moderate coffee consumption was inversely associated with CVD, CHD, and stroke, while heavy consumption was not associated with elevated CVD risk.

Key findings

  • Compared with the lowest coffee consumption category (median 0 cups/day), pooled relative risks for CVD were 0.89 (95% CI, 0.84–0.94) for the third highest category (median 1.5 cups/day), 0.85 (95% CI, 0.80–0.90) for the second highest category (median 3.5 cups/day), and 0.95 (95% CI, 0.87–1.03) for the highest category (median 5 cups/day).
  • In the dose–response spline model, RRs versus no coffee consumption were 0.95 (0.93–0.97) at 1 cup/day, 0.92 (0.88–0.95) at 2 cups/day, 0.89 (0.85–0.93) at 3 cups/day, 0.88 (0.83–0.93) at 4 cups/day, 0.89 (0.83–0.95) at 5 cups/day, 0.91 (0.84–0.99) at 6 cups/day, and 0.93 (0.85–1.03) at 7 cups/day.
  • Non-linear associations with significant trends were found for both CHD and stroke; heterogeneity was stronger for CHD (P for heterogeneity = 0.001) than for stroke (P for heterogeneity = 0.07).
  • Stratified analyses found no significant interactions between categorized coffee consumption and baseline hypertension/MI, smoking status, publication year, NOS quality score, dietary assessment method, outcome, country, sex, or coffee type (all P for interactions > 0.05). Egger tests did not suggest publication bias.

Methods

  • Systematic review and dose–response meta-analysis of prospective cohort studies, following the MOOSE protocol; PubMed and EMBASE were searched from January 1966 to March 2013.
  • The abstract reports 36 included studies with 1,279,804 participants and 36,352 CVD cases; the Results and Discussion report approximately 1,283,685 participants and 47,779 CVD cases, including 28,347 CHD, 12,030 stroke, and 7,402 other CVD cases. The main analysis included 35 studies, and 29 studies were included in the dose–response analysis.
  • Analyses used semi-parametric and parametric methods, random- or fixed-effects models, generalized least squares, and restricted cubic splines with 3 knots; stratified analyses and Egger’s regression symmetry test were also performed.

Limitations

  • The paper states that, given the observational nature of included studies, residual confounding cannot be excluded and a causal relationship cannot be established; residual confounding by smoking may have biased heavy coffee consumption upward.
  • The paper states that coffee brewing methods were not assessed, so results may not apply to unfiltered coffee (e.g., French press, Scandinavian boiled, or Turkish/Greek coffee).
  • The paper states that none of the included cohorts assessed CYP1A2 genotype, so genotype-stratified analysis was not possible. Evident from the text: participant and CVD case counts differ between the abstract and the Results/Discussion sections.

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Integrity signals

Registry

Crossref · 10.1161/circulationaha.113.005925

Cites

74 of 74 references verified0 citation errors · 0 not checkable

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39 Own result · 23 Not checked yet · 17 Own interpretation · 14 Own method · 8 No basis given · 1 Sources not found

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  • It may state two separate claims as one. 32
  • Probably not a substantial claim. 20
43 of 43
  • The paper relies on this without support.

    Coffee is one of the most widely consumed beverages around the world.

    “Coffee is one of the most widely consumed beverages around the world; thus, investigating whether or not coffee consumption is associated with chronic disease risk has important public health implications.”
  • The paper relies on this without support.

    The shape of the association between coffee consumption and cardiovascular disease risk remains uncertain.

    “These meta-analyses did not support an association between coffee consumption and a higher CVD risk, but the shape of the association remains uncertain.”
2 of 2

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Metadata

Authors
Ding, M., Bhupathiraju, S. N., Satija, A., van Dam, R. M., & Hu, F. B.
Affiliations
  • Brigham and Women's Hospital (US)
  • From the Departments of Nutrition (M.D., S.N.B., A.S., R.M.v.D., F.B.H.) and Epidemiology (F.B.H.), Harvard School of Public Health, Boston, MA; Saw Swee Hock School of Public Health and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore (R.M.v.D.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (F.B.H.).
Venue
Circulation
Published
2014-02-11
Volume
129
Issue
6
Pages
643-659
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2137201442
Cited by
565
References
74
Citations by year
2026: 29 · 2025: 49 · 2024: 64 · 2023: 45 · 2022: 56 · 2021: 43 · 2020: 54 · 2019: 34 · 2018: 51 · 2017: 51 · 2016: 41 · 2015: 30 · 2014: 17
FWCI
21.82
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • National University of Singapore (submittedVersion)
Funders
National Heart, Lung, and Blood Institute (HL60712, R01HL060712)
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, cardiovascular risk, coronary artery disease, stroke, heart failure, cardiovascular mortality, dose-response relationship, nonlinear relationship
MeSH terms
Cardiovascular Diseases, Coffee, Coronary Disease, Heart Failure, Humans, Prospective Studies, Risk Factors, Nonlinear Dynamics, Stroke

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