Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose–Response Meta-Analysis of Prospective Cohort Studies
Open accessAbstract
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.
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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.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 41 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The imputed correlation coefficient between risks of stroke and CHD within the same cohort (0 < ρ ≤ 1) did not affect the relative risk of CVD for each category of coffee consumption.
“the imputed correlation coefficient between the risks of stroke and CHD within the same cohort (0 < ρ ≤ 1) did not have an effect on the relative risk of CVD for each category of coffee consumption.”
Quote in the paperNot a substantial claim - Findingown data
Compared with the lowest category of coffee consumption, the RR of CHD was 0.90 (95% CI 0.84 to 0.97; P for heterogeneity = 0.02; I2 = 40.3%) for the second highest category.
“0.90 (95% CI, 0.84 to 0.97; P for heterogeneity = 0.02; I2 = 40.3%) for the second highest category”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption (median and mean 0 cups/d), the pooled relative risk of incident CVD was 0.85 (95% CI 0.80 to 0.90) for the second highest category (median 3.5 cups/d; mean 3 cups/d).
“0.85 (95% CI, 0.80 to 0.90) for the second highest (median: 3.5 cups/d; mean: 3 cups/d)”
- Also stated in: § Methods and Results · plain
“0.85 (0.80 to 0.90) for the second highest (median: 3.5 cups/d)”
Quote in the paperSubstantial claim - Also stated in: § Methods and Results · plain
- Findingown data
Among four studies providing age-stratified results, comparing highest with lowest coffee intake, the RR of CVD was 0.96 (95% CI 0.65 to 1.42) for age < 65 years.
“the RR of CVD was 0.96 (95% CI, 0.65 to 1.42) for age < 65 years”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [27] Klatsky AL Friedman GD Armstrong MA Coffee use prior to myocardial infarction restudied: Heavier intake may increase the risk Am J Epidemiol 1990 132 479 488 2389752 source
Not checked in the free run.
- cites [28] Lindsted KD Kuzma JW Anderson JL Coffee consumption and cause-specific mortality. Association with age at death and compression of mortality J Clin Epidemiol 1992 45 733 742 1619453 source
Not checked in the free run.
- cites [29] Bidel S Hu G Qiao Q Jousilahti P Antikainen R Tuomilehto J Coffee consumption and risk of total and cardiovascular mortality among patients with type 2 diabetes Diabetologia 2006 49 2618 2626 17019600 source
Not checked in the free run.
- cites [30] Greenberg JA Dunbar CC Schnoll R Kokolis R Kokolis S Kassotis J Caffeinated beverage intake and the risk of heart disease mortality in the elderly: A prospective analysis AmJ Clin Nutr 2007 85 392 398 17284734 source
Not checked in the free run.
- Findingown data
No interactions between categorized coffee consumption and stratification variables in relation to CVD risk were observed (all P for interactions > 0.05).
“No interactions between categorized coffee consumption and stratification variables in relation to CVD risk were observed (all P for interactions >0.05)”
Quote in the paperNot a substantial claim
- Findingown data
Compared with the lowest category of coffee consumption, the RR of stroke was 0.80 (95% CI 0.75 to 0.86; P for heterogeneity = 0.37; I2 = 6.5%) for the second highest category.
“0.80 (95% CI, 0.75 to 0.86; P for heterogeneity = 0.37; I2 = 6.5%) for the second category”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption, the RR of CHD was 0.89 (95% CI 0.85 to 0.94; P for heterogeneity = 0.83; I2 = 0.0%) for the third highest category.
“the RRs of CHD were 0.89 (95% CI, 0.85 to 0.94; P for heterogeneity = 0.83; I2 = 0.0%) for the third highest category”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption (median and mean 0 cups/d), the pooled relative risk of incident CVD was 0.95 (95% CI 0.87 to 1.03) for the highest category (median 5 cups/d; mean 5.5 cups/d).
“0.95 (95% CI, 0.87 to 1.03) for the highest (median: 5 cups/d; mean: 5.5 cups/d) category of coffee consumption”
- Also stated in: § Methods and Results · plain
“0.95 (95% CI, 0.87 to 1.03) for the highest (median: 5 cups/d) category”
Quote in the paperSubstantial claim - Also stated in: § Methods and Results · plain
- Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.92 (95% CI 0.88 to 0.95) for 2 cups/d.
“0.92 (95% CI, 0.88 to 0.95) for 2 cups/d”
Quote in the paperSubstantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.89 (95% CI 0.85 to 0.93) for 3 cups/d.
“0.89 (95% CI, 0.85 to 0.93) for 3 cups/d”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption, the RR of stroke was 0.89 (95% CI 0.84 to 0.94; P for heterogeneity = 0.58; I2 = 0.0%) for the third highest category.
“The corresponding RRs of stroke were 0.89 (95% CI, 0.84 to 0.94; P for heterogeneity = 0.58; I2 = 0.0%) for the third category”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption, the RR of CHD was 0.93 (95% CI 0.84 to 1.02; P for heterogeneity < 0.001; I2 = 52.8%) for the highest category.
“0.93 (95% CI, 0.84 to 1.02; P for heterogeneity < 0.001; I2 = 52.8%) for the highest category of coffee consumption.”
Quote in the paperSubstantial claim - Findingown data
Compared with the lowest category of coffee consumption (median and mean 0 cups/d), the pooled relative risk of incident CVD was 0.89 (95% CI 0.84 to 0.94) for the third highest category (median 1.5 cups/d; mean 1.48 cups/d).
“Compared with the lowest category of coffee consumption (median and mean: 0 cups/d), the pooled RR for incident CVD was 0.89 (95% CI, 0.84 to 0.94) for the third highest (median: 1.5 cups/d; mean: 1.48 cups/d)”
- Also stated in: § Methods and Results · plain
“0.89 (0.84 to 0.94) for the third highest category (median: 1.5 cups/d)”
Quote in the paperSubstantial claim - Also stated in: § Methods and Results · plain
- Findingown data
Among four studies providing age-stratified results, comparing highest with lowest coffee intake, the RR of CVD was 0.91 (95% CI 0.59 to 1.40) for age ≥ 65 years.
“the RR was 0.91 (95% CI, 0.59 to 1.40) for age ≥ 65 years.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [27] Klatsky AL Friedman GD Armstrong MA Coffee use prior to myocardial infarction restudied: Heavier intake may increase the risk Am J Epidemiol 1990 132 479 488 2389752 source
Not checked in the free run.
- cites [28] Lindsted KD Kuzma JW Anderson JL Coffee consumption and cause-specific mortality. Association with age at death and compression of mortality J Clin Epidemiol 1992 45 733 742 1619453 source
Not checked in the free run.
- cites [29] Bidel S Hu G Qiao Q Jousilahti P Antikainen R Tuomilehto J Coffee consumption and risk of total and cardiovascular mortality among patients with type 2 diabetes Diabetologia 2006 49 2618 2626 17019600 source
Not checked in the free run.
- cites [30] Greenberg JA Dunbar CC Schnoll R Kokolis R Kokolis S Kassotis J Caffeinated beverage intake and the risk of heart disease mortality in the elderly: A prospective analysis AmJ Clin Nutr 2007 85 392 398 17284734 source
Not checked in the free run.
- Findingown data
Low between-study variance in CVD risk was found for each category of coffee consumption (tau-squared = 0.00 for random-effects models).
“Low between-study variances of CVD risk were found for each category of coffee consumption (tau-squared = 0.00 for the random-effects models)”
Quote in the paperNot a substantial claim - Findingown data
Compared with the lowest category of coffee consumption, the RR of stroke was 0.95 (95% CI 0.84 to 1.07; P for heterogeneity = 0.001; I2 = 54.5%) for the highest category.
“0.95 (95% CI, 0.84 to 1.07; P for heterogeneity = 0.001; I2 = 54.5%) for the highest category.”
Quote in the paperSubstantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.95 (95% CI 0.93 to 0.97) for 1 cup/d.
“the RR estimated directly from the cubic spline model was 0.95 (95% CI, 0.93 to 0.97) for 1 cup/d”
Quote in the paperSubstantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.88 (95% CI 0.83 to 0.93) for 4 cups/d.
“0.88 (95% CI, 0.83 to 0.93) for 4 cups/d”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in the association between coffee consumption and CVD risk between cohorts with hypertensive and MI patients and general population cohorts.
“However, we observed no significant difference in the association between coffee consumption and CVD risk between cohorts with hypertensive and MI patients and the general population cohorts.”
Quote in the paperSubstantial claim - Findingown data
Heavy coffee consumption (≥6 cups/day) is not associated with either higher or lower risk of CVD.
“heavy coffee consumption (≥6 cups/day) was neither associated with a higher nor a lower risk of CVD.”
- Also stated in: § DISCUSSION · plain
“heavy coffee consumption was not associated with CVD risk.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Findingown data
Heavy coffee consumption was not associated with elevated CVD risk.
“heavy coffee consumption was not associated with elevated CVD risk.”
Quote in the paperSubstantial claim - Findingown data
In this meta-analysis, stratified analysis showed that coffee consumption was not associated with CVD risk in subgroups with a lower NOS score.
“Our stratified analysis showed that coffee consumption was not associated with CVD risk in subgroups with a lower NOS score.”
Quote in the paperNot a substantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.91 (95% CI 0.84 to 0.99) for 6 cups/d.
“0.91 (95% CI, 0.84 to 0.99) for 6 cups/d”
Quote in the paperNot a substantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.93 (95% CI 0.85 to 1.03) for 7 cups/d.
“0.93 (95% CI, 0.85 to 1.03) for 7 cups/d”
Quote in the paperNot a substantial claim - Findingown data
The lowest CVD risk is observed at 3 to 5 cups/day of coffee consumption.
“with the lowest CVD risk at 3 to 5 cups/d of coffee consumption”
Quote in the paperSubstantial claim - Findingown data
The non-linear association between coffee consumption and CVD risk is observed for both CHD risk and stroke risk.
“This non-linear association with coffee consumption was observed for both the risk of CHD and stroke.”
Quote in the paperSubstantial claim - Findingown data
In age-adjusted analyses, heavy coffee consumption was associated with higher risk of CVD.
“Heavy coffee consumption was associated with higher risk of CVD in age-adjusted analyses”
Quote in the paperNot a substantial claim - Findingown data
In the dose-response cubic spline model, compared with no coffee consumption, the RR of CVD was 0.89 (95% CI 0.83 to 0.95) for 5 cups/d.
“0.89 (95% CI, 0.83 to 0.95) for 5 cups/d”
Quote in the paperSubstantial claim - Findingown data
A non-linear association between coffee consumption and CHD risk was found (P for non-linearity < 0.001; P for trend < 0.001).
“Non-linear (p values for non-linearity <0.001) associations between coffee consumption and disease risk with significant trends (p values for trend <0.001) were found for both CHD and stroke”
- Also stated in: § Methods and Results · plain
“coffee consumption was non-linearly associated with both CHD (P for heterogeneity = 0.001, P for trend < 0.001, P for non-linearity < 0.001)”
Quote in the paperSubstantial claim - Also stated in: § Methods and Results · plain
- Findingown data
Moderate coffee consumption (3-5 cups/day) is associated with lower risk of CVD.
“Moderate coffee consumption (3–5 cups/day) was associated with lower CVD risk”
- Also stated in: § DISCUSSION · plain
“Moderate coffee consumption was associated with lower CVD risk”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Findingown data
A non-linear association between coffee consumption and stroke risk was found (P for non-linearity < 0.001; P for trend < 0.001).
“Non-linear (p values for non-linearity <0.001) associations between coffee consumption and disease risk with significant trends (p values for trend <0.001) were found for both CHD and stroke”
- Also stated in: § Methods and Results · plain
“stroke risks (P for heterogeneity = 0.07, P for trend < 0.001, P for non-linearity< 0.001)”
Quote in the paperSubstantial claim - Also stated in: § Methods and Results · plain
- Findingown data
No significant association between decaffeinated coffee consumption and CVD risk was observed in this meta-analysis.
“No significant association between decaffeinated coffee consumption with CVD risk was observed in this meta-analysis.”
Quote in the paperSubstantial claim - Findingown data
In this meta-analysis, stratified analysis by age revealed no significant differences in the association between coffee consumption and CVD risk across age groups.
“In our meta-analysis, stratified analysis by age revealed no significant differences in the association across age groups.”
Quote in the paperNot a substantial claim - Findingown data
In studies published in year 2000 or earlier, coffee consumption was not significantly associated with CHD risk (n=13, P for heterogeneity = 0.20).
“in studies published in year 2000 or earlier, coffee consumption was not significantly associated with CHD risk (n=13, P for heterogeneity = 0.20)”
Quote in the paperSubstantial claim - Findingown data
The trend for coffee consumption did not differ significantly between CHD and stroke outcomes (P for trend differences > 0.05).
“(P for trend differences > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
This meta-analysis did not observe a significant association between coffee consumption and CHD risk for earlier publications (2000 or earlier).
“We did not observe a significant association between coffee consumption and CHD risk for earlier publications (2000 or earlier).”
Quote in the paperSubstantial claim - Findingown data
Coffee consumption is non-linearly associated with risk of CVD.
“demonstrate a non-linear association between coffee consumption and risk of CVD.”
- Also stated in: § DISCUSSION · hedged
“our meta-analysis suggests a non-linear relationship between coffee consumption and CVD risk.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · hedged
- Findingreasoning
Multivariate adjustment strengthened the inverse association between moderate coffee consumption and CVD risk.
“Multivariate adjustment strengthened the inverse association between moderate consumption and CVD risk, most likely due to adjustment for smoking.”
Quote in the paperNot a substantial claim - Findingown data
In studies published after 2000, coffee consumption was nonlinearly associated with CHD risk (n=18, P for heterogeneity = 0.08).
“whereas in later studies, coffee consumption was nonlinearly associated with CHD risk (n= 18, P for heterogeneity = 0.08).”
Quote in the paperSubstantial claim - Findingown data
There was stronger evidence for heterogeneity in study results for the association of coffee consumption with CHD risk (P heterogeneity = 0.001) than for the association with stroke risk (P heterogeneity = 0.07).
“There was stronger evidence for heterogeneity in study results for the association of coffee consumption with CHD risk (P heterogeneity=0.001) than for the association with stroke risk (P heterogeneity=0.07).”
Quote in the paperNot a substantial claim - Findingown data
Adding the RR from the study with coffee consumption modeled as a continuous variable to the dose-response analysis by a two-stage method did not substantially change the results.
“we added the RR from this study to the dose-response analysis by a two stage method and the results did not substantially change.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Wilhelmsen L Tibblin G Elmfeldt D Wedel H Werko L Coffee consumption and coronary heart disease in middle-aged swedish men Acta Med Scand 1977 201 547 552 878912
Not checked in the free run.
- Premisecitation
Prior meta-analyses of prospective cohort studies did not support an association between coffee consumption and a higher risk of cardiovascular disease.
“These meta-analyses did not support an association between coffee consumption and a higher CVD risk, but the shape of the association remains uncertain.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [14] Sofi F Conti AA Gori AM Eliana Luisi ML Casini A Abbate R Gensini GF Coffee consumption and risk of coronary heart disease: A meta-analysis Nutr Metab Cardiovasc Dis 2007 17 209 223 17156982 source
Not checked in the free run.
- cites [15] Larsson SC Orsini N Coffee consumption and risk of stroke: A dose-response meta-analysis of prospective studies Am J Epidemiol 2011 174 993 1001 21920945 source
Not checked in the free run.
- cites [16] Mostofsky E Rice MS Levitan EB Mittleman MA Habitual coffee consumption and risk of heart failure: A dose-response meta-analysis Circ Heart Fail 2012 5 401 405 22740040 PMC3425948 source
Not checked in the free run.
- Interpretationreasoning
The higher risk of CVD associated with heavy coffee consumption in age-adjusted analyses is likely due to confounding by smoking.
“but this is likely due to confounding by smoking.”
Quote in the paperSubstantial claim - Study design and conductown data
The Egger test did not indicate publication bias for the association between any category of coffee consumption and CVD risk.
“The Egger test did not suggest publication bias for associations for any category of coffee consumption and risk of CVD (Supplemental Figure 3 and Table 2).”
Quote in the paperNot a substantial claim - Study design and conductown data
This study could not differentiate acute effects from long-term effects of habitual coffee consumption.
“However, we could not differentiate acute effects from long-term effects of habitual coffee consumption in this study.”
Quote in the paperNot a substantial claim - Interpretationown data
The lowest CVD risk was at 3 to 5 cups/d of coffee consumption.
“Moderate coffee consumption was inversely significantly associated with CVD risk, with the lowest CVD risk at 3 to 5 cups/d”
Quote in the paperSubstantial claim - Premisereasoning
Findings from prospective cohort studies on coffee consumption and CVD risk have remained inconsistent.
“Still, findings from prospective cohort studies on coffee consumption and CVD risk have remained inconsistent.”
Quote in the paperSubstantial claim - Interpretationreasoning
The null association between decaffeinated coffee consumption and CVD risk might be due to reverse causation, in that individuals with hypertension or other CVD-related conditions might switch from regular coffee to decaffeinated coffee, which may mitigate an inverse association.
“Second, the null association might be due to a reverse causation problem in that individuals with hypertension or other CVD-related conditions might switch from regular coffee to decaffeinated coffee. This reverse causation may mitigate an inverse association between decaffeinated coffee consumption and CVD risk.”
Quote in the paperSubstantial claim - Interpretationown data
Moderate coffee consumption was inversely significantly associated with CVD risk.
“Moderate coffee consumption was inversely significantly associated with CVD risk, with the lowest CVD risk at 3 to 5 cups/d”
Quote in the paperSubstantial claim - Interpretationreasoning
The strengthening of the inverse association between moderate coffee consumption and CVD risk by multivariate adjustment was most likely due to adjustment for smoking.
“Multivariate adjustment strengthened the inverse association between moderate consumption and CVD risk, most likely due to adjustment for smoking.”
Quote in the paperNot a substantial claim - Interpretationcitation
The results of the Liu et al cohort study contradict those of this meta-analysis and the majority of studies in the literature.
“The results from this study contradict those from this meta-analysis and the majority of studies in the literature.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Liu J Sui X Lavie CJ Hebert JR Earnest CP Zhang J Blair SN Association of coffee consumption with all-cause and cardiovascular disease mortality Mayo Clin Proc 2013 88 1066 74 doi: 10.1016/j.mayocp.2013.06.020. Epub 2013 Aug 15 23953850 PMC3835155 source
Not checked in the free run.
- Interpretationreasoning
Differences among studies in sample sizes, characteristics of study populations, assessment methods for coffee consumption, and statistical adjustments may have contributed to divergent results.
“Differences among studies in sample sizes, the characteristics of the study populations, the assessment methods for coffee consumption, and statistical adjustments may have contributed to divergent results.”
Quote in the paperSubstantial claim - Premisecitation
The CYP1A2 variant explains only a very small population variance.
“However, this variant explains only a very small population variance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Cornelis MC Monda KL Yu K Paynter N Azzato EM Bennett SN Berndt SI Boerwinkle E Chanock S Chatterjee N Couper D Curhan G Heiss G Hu FB Hunter DJ Jacobs K Jensen MK Kraft P Landi MT Nettleton JA Purdue MP Rajaraman P Rimm EB Rose LM Rothman N Silverman D Stolzenberg-Solomon R Subar A Yeager M Chasman DI van Dam RM Caporaso NE Genome-wide meta-analysis identifies regions on 7p21 (ahr) and 15q24 (cyp1a2) as determinants of habitual caffeine consumption PLoS Genet 2011 7 e1002033 21490707 PMC3071630 source
Not checked in the free run.
- Premisecitation
Cafestol in unfiltered coffee increases serum total cholesterol concentrations.
“In addition, cafestol in unfiltered coffee increases serum total cholesterol concentrations.43”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Urgert R Katan MB The cholesterol-raising factor from coffee beans Annu Rev Nutr 1997 17 305 324 9240930 source
Not checked in the free run.
- Premisereasoning
The debate about the relation between coffee consumption and CVD risk mainly stemmed from inconsistent results according to different study designs.
“The debate about the relation between coffee consumption and CVD risk mainly stemmed from inconsistent results according to different study designs.”
Quote in the paperSubstantial claim - Study design and conductnone given
Coffee brewing methods were not assessed in the included studies.
“In addition, coffee brewing methods were not assessed in the included studies.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Given the observational nature of the included studies, the possibility of residual confounding cannot be excluded.
“Given the observational nature of the studies, the possibility of residual confounding cannot be excluded.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because of the observational nature of the included studies, a causal relationship cannot be established with these data alone.
“Nonetheless, because of the observational nature of the included studies, a causal relationship cannot be established with these data alone.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results of this meta-analysis may not apply to unfiltered coffee (e.g., French press, Scandinavian boiled, or Turkish/Greek coffee).
“As a result, our results may not apply to unfiltered coffee (e.g. French press, Scandinavian boiled, or Turkish/Greek coffee).”
Quote in the paperSubstantial claim
- May combine two claims. 32
- Classified as probably not a substantial claim. 20
May combine two claims.
Findingown dataA non-linear association between coffee consumption and risk of CVD was observed (P for non-linearity < 0.001), with a significant trend (P for trend < 0.001) and limited heterogeneity (P for heterogeneity = 0.09).
“we observed a non-linear association between coffee consumption and risk of CVD (P for non-linearity < 0.001) with a significant trend (P for trend <0.001) and limited heterogeneity in study results (P for heterogeneity = 0.09)”
- Also stated in: § Methods and Results · plain
“A non-linear relationship of coffee consumption with CVD risk was identified (P for heterogeneity = 0.09, P for trend < 0.001, P for non-linearity < 0.001).”
- Also stated in: § Conclusions · plain
“A non-linear association between coffee consumption with CVD risk was observed in this meta-analysis.”
Quote in the paperSubstantial claim- Also stated in: § Methods and Results · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThirty-six prospective cohort studies remained in the meta-analysis after screening and exclusions.
“Thirty-six studies remained in the meta-analysis (Figure 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe included studies comprised approximately 1,283,685 participants and 47,779 CVD cases, including 28,347 CHD cases, 12,030 stroke cases and 7,402 other CVD cases.
“The included studies comprised approximately 1,283,685 study participants and 47,779 CVD cases, including 28,347 CHD cases, 12,030 stroke cases and 7,402 other CVD cases.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSensitivity analysis including only one of CHD or stroke as the outcome left results largely unchanged and non-linear curves were found.
“Our results remained largely unchanged and non-linear curves were found with including either CHD or stroke as the outcome”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningThe vast majority of participants in this meta-analysis were Caucasians, so the allele frequency was expected to be consistent across various cohorts.
“Since the vast majority of our participants were Caucasians, the allele frequency was expected to be consistent across various cohorts.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningAfter adjustment for smoking and other covariates, heavy coffee consumption was not significantly associated with CVD, and the inverse association between moderate coffee consumption and CVD became stronger.
“After adjustment for smoking and other covariates, heavy coffee was consumption was not significantly associated with CVD and the inverse association between moderate consumption and CVD became stronger.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataStudy eligibility assessment and data extraction were performed by one author and independently double-checked by another author.
“One author (M. D.) assessed study eligibility and extracted the data, the other author (A. S.) independently double-checked the available data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataPotential for publication bias was assessed using Egger's regression symmetry test.
“We assessed the potential for publication bias using Egger's regression symmetry test.25”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Egger M Davey Smith G Schneider M Minder C Bias in meta-analysis detected by a simple, graphical test BMJ 1997 315 629 634 9310563 PMC2127453 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSensitivity analysis was conducted by imputing different correlation coefficients (0 < ρ ≤ 1) between CHD and stroke outcomes to evaluate robustness of effect estimates.
“Sensitivity analysis was conducted by imputing different ρ (0 < ρ ≤ 1) to evaluate the robustness of the effect estimates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe Newcastle-Ottawa quality assessment scale was used to evaluate the quality of included studies.
“The Newcastle-Ottawa quality assessment scale (NOS) 22was used to evaluate the quality of the included studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Wells GA SB O'Connell D Peterson J Welch V Losos M Tugwell P The newcastle-ottawa scale (nos) for assessing the quality of nonrandomized studies in meta-analysis 2011 www.ohri.ca/programs/clinical_epidemiology/oxford.asp
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationA recent meta-analysis showed that heavy coffee consumption was not associated with risk of cardiovascular disease mortality.
“one recent meta-analysis paper showed that heavy coffee consumption was not associated with risk of CVD mortality.20”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Malerba S Turati F Galeone C Pelucchi C Verga F La Vecchia C Tavani A A meta-analysis of prospective studies of coffee consumption and mortality for all causes, cancers and cardiovascular diseases Eur J Epidemiol 2013 28 527 39 doi: 10.1007/s10654-013-9834-7. Epub 2013 Aug 11 23934579 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe meta-analysis was designed, implemented, analysed and reported following the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) protocol.
“We followed the Meta-Analysis of Observational Studies in Epidemiology21 protocol throughout the design, implementation, analysis, and reporting of our meta-analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Stroup DF Berlin JA Morton SC Olkin I Williamson GD Rennie D Moher D Becker BJ Sipe TA Thacker SB Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis of observational studies in epidemiology (moose) group JAMA 2000 283 2008 2012 10789670 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataPubMed and EMBASE were searched for prospective studies evaluating the association between coffee consumption and cardiovascular disease risk from January 1966 to March 2013.
“We searched the PubMed and EMBASE databases for prospective studies that had evaluated the association between coffee consumption and risk of CVD between January 1966 and March 2013.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe Newcastle-Ottawa quality assessment scores of included studies ranged from 3 to 8, and 31 studies had scores of 5 or higher.
“The scores of the NOS quality assessment ranged from 3 to 8, and 31 studies had scores of 5 or higher.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningPossible reasons for the discrepancy between the Liu et al study and this meta-analysis include a relatively small sample size, lack of updated dietary assessment, and subgroup analysis.
“Possible reasons for this discrepancy include a relatively small size, lack of updated dietary assessment, and subgroup analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Liu J Sui X Lavie CJ Hebert JR Earnest CP Zhang J Blair SN Association of coffee consumption with all-cause and cardiovascular disease mortality Mayo Clin Proc 2013 88 1066 74 doi: 10.1016/j.mayocp.2013.06.020. Epub 2013 Aug 15 23953850 PMC3835155 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA genome-wide association study found a highly significant association between a variant on CYP1A2 and coffee intake.
“Recently, a genome-wide association study (GWAS) found a highly significant association between a variant on CYP1A2 and coffee intake48.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Cornelis MC Monda KL Yu K Paynter N Azzato EM Bennett SN Berndt SI Boerwinkle E Chanock S Chatterjee N Couper D Curhan G Heiss G Hu FB Hunter DJ Jacobs K Jensen MK Kraft P Landi MT Nettleton JA Purdue MP Rajaraman P Rimm EB Rose LM Rothman N Silverman D Stolzenberg-Solomon R Subar A Yeager M Chasman DI van Dam RM Caporaso NE Genome-wide meta-analysis identifies regions on 7p21 (ahr) and 15q24 (cyp1a2) as determinants of habitual caffeine consumption PLoS Genet 2011 7 e1002033 21490707 PMC3071630 source
Not checked in the free run.
May combine two claims.
Interpretationnone givenThe consumption of decaffeinated coffee was much lower than caffeinated coffee, diminishing the power to detect any association.
“First, the consumption of decaffeinated coffee was much lower than caffeinated coffee, diminishing the power to detect any association.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDrinking boiled coffee increases serum cholesterol, an important risk factor for CVD.
“It has been shown that drinking boiled coffee increases serum cholesterol, an important risk factor for CVD5.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Bak AA Grobbee DE The effect on serum cholesterol levels of coffee brewed by filtering or boiling N Engl J Med 1989 321 1432 1437 2811958 source
Not checked in the free run.
May combine two claims.
PremisecitationThe Cornelis et al. analysis was based on a case-control study conducted in Costa Rica, and the results have not been replicated in prospective cohort studies.
“However, this analysis was based on a case-control study conducted in Costa Rico and the results have not been replicated in prospective cohort studies yet.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Cornelis MC El-Sohemy A Kabagambe EK Campos H Coffee, cyp1a2 genotype, and risk of myocardial infarction JAMA 2006 295 1135 1141 16522833 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA study by Cornelis et al. showed that CYP1A2 genotype was an effect modifier between coffee consumption and risk of myocardial infarction: coffee consumption was related to higher risk of myocardial infarction for slow caffeine metabolizers and was not related for fast caffeine metabolizers.
“A study by Cornelis MC et al.47 showed that CYP1A2 genotype was an effect modifier between coffee consumption and risk of myocardial infarction: coffee consumption was related to higher risk of myocardial infarction for the slow caffeine metabolizer, and was not related to myocardial infarction for the fast caffeine metabolizer.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Cornelis MC El-Sohemy A Kabagambe EK Campos H Coffee, cyp1a2 genotype, and risk of myocardial infarction JAMA 2006 295 1135 1141 16522833 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationResults from case-crossover studies suggest that coffee consumption transiently increases the risk of nonfatal myocardial infarction, ischemic stroke onset, and sudden cardiac death.
“Results from case crossover studies suggest that coffee consumption transiently increases risk of nonfatal myocardial infarction, ischemic stroke onset, and sudden cardiac death.44–46”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [44] Baylin A Hernandez-Diaz S Kabagambe EK Siles X Campos H Transient exposure to coffee as a trigger of a first nonfatal myocardial infarction Epidemiology 2006 17 506 511 16837823 source
Not checked in the free run.
- cites [45] Selb Semerl J Selb K Coffee and alcohol consumption as triggering factors for sudden cardiac death: Case-crossover study Croat Med J 2004 45 775 780 15578815
Not checked in the free run.
- cites [46] Mostofsky E Schlaug G Mukamal KJ Rosamond WD Mittleman MA Coffee and acute ischemic stroke onset: The stroke onset study Neurology 2010 75 1583 1588 20881275 PMC3120108 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA previous meta-analysis of 21 prospective cohort studies found no association between moderate coffee consumption and CHD risk in the overall population.
“a previous meta-analysis summarizing 21 prospective cohort studies31 found no association between moderate coffee consumption and CHD risk in the overall population.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Wu JN Ho SC Zhou C Ling WH Chen WQ Wang CL Chen YM Coffee consumption and risk of coronary heart diseases: A meta-analysis of 21 prospective cohort studies Int JCardiol 2009 137 216 225 18707777 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningSmoking is likely an important confounder for the association between coffee consumption and CVD risk and could bias the relative risks upwards.
“Second, smoking is likely to be an important confounder for the association between coffee consumption and CVD risk, and could bias the relative risks upwards.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationLong-term heavy coffee consumption has been associated with a slightly elevated risk of hypertension and a higher level of plasma homocysteine.
“Long-term heavy coffee consumption has been associated with a slightly elevated risk of hypertension,40 and a higher level of plasma homocysteine.41, 42”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [40] Zhang Z Hu G Caballero B Appel L Chen L Habitual coffee consumption and risk of hypertension: A systematic review and meta-analysis of prospective observational studies Am JClin Nutr 2011 93 1212 1219 21450934 source
Not checked in the free run.
- cites [41] Verhoef P Pasman WJ Van Vliet T Urgert R Katan MB Contribution of caffeine to the homocysteine-raising effect of coffee: A randomized controlled trial in humans Am J Clin Nutr 2002 76 1244 1248 12450889 source
Not checked in the free run.
- cites [42] Olthof MR Hollman PC Zock PL Katan MB Consumption of high doses of chlorogenic acid, present in coffee, or of black tea increases plasma total homocysteine concentrations in humans Am J Clin Nutr 2001 73 532 538 11237928 source
Not checked in the free run.
May combine two claims.
PremisecitationShort-term metabolic studies have shown that caffeine can acutely increase blood pressure and could also acutely adversely affect arterial stiffness and endothelium-dependent vasodilation.
“However, short-term metabolic studies have shown that caffeine can acutely increase blood pressure by antagonizing the adenosine A1 and A2A receptor,35–37 and could also acutely adversely affect arterial stiffness and endothelium dependent vasodilation.38, 39”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [35] Nurminen ML Niittynen L Korpela R Vapaatalo H Coffee, caffeine and blood pressure: A critical review Eur J Clin Nutr 1999 53 831 839 10556993 source
Not checked in the free run.
- cites [36] Mesas AE Leon-Munoz LM Rodriguez-Artalejo F Lopez-Garcia E The effect of coffee on blood pressure and cardiovascular disease in hypertensive individuals: A systematic review and meta-analysis Am J Clin Nutr 2011 94 1113 1126 21880846 source
Not checked in the free run.
- cites [37] Fredholm BB Battig K Holmen J Nehlig A Zvartau EE Actions of caffeine in the brain with special reference to factors that contribute to its widespread use Pharmacol Rev 1999 51 83 133 10049999 source
Not checked in the free run.
- cites [38] Karatzis E Papaioannou TG Aznaouridis K Karatzi K Stamatelopoulos K Zampelas A Papamichael C Lekakis J Mavrikakis M. Acute effects of caffeine on blood pressure and wave reflections in healthy subjects: Should we consider monitoring central blood pressure? Int JCardiol 2005 98 425 430 15708175 source
Not checked in the free run.
- cites [39] Papamichael CM Aznaouridis KA Karatzis EN Karatzi KN Stamatelopoulos KS Vamvakou G Lekakis JP Mavrikakis ME Effect of coffee on endothelial function in healthy subjects: The role of caffeine Clin Sci (Lond) 2005 109 55 60 15799717 source
Not checked in the free run.
May combine two claims.
Study design and conductown dataNone of the included cohorts assessed CYP1A2 genotypes, so this meta-analysis was unable to conduct a stratified analysis by genotype.
“However, none of the included cohorts assessed the genotypes and thus we were unable to conduct such a stratified analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenCoffee brewing methods have changed over time, with filter method becoming more popular and replacing unfiltered forms such as boiled coffee that were more widely consumed in earlier studies.
“First, coffee brewing methods have changed over time and nowadays the filter method has become more popular, effectively replacing unfiltered forms of coffee such as boiled coffee that was more widely consumed by participants in earlier studies.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBecause the true association between coffee consumption and CVD risk is likely modest and nonlinear, differences in coffee assessments and covariate adjustments may change the magnitude and even the direction of the associations and thus lead to different conclusions.
“Since the true association between coffee consumption and CVD risk is likely to be modest and nonlinear, the differences in coffee assessments and covariate adjustments may result in changes the magnitude and even the direction of the associations and thus lead to different conclusions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningA possible reason the previous meta-analysis found no association is that it included 7 studies without adjustment for confounders, which might have biased the relative risks upwards because of confounding by factors such as smoking.
“One possible reason is that the previous meta-analysis included 7 studies without adjustment for confounders, which might have biased the relative risks upwards because of confounding by factors such as smoking.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Wu JN Ho SC Zhou C Ling WH Chen WQ Wang CL Chen YM Coffee consumption and risk of coronary heart diseases: A meta-analysis of 21 prospective cohort studies Int JCardiol 2009 137 216 225 18707777 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone givenIndividuals with hypertension or other conditions related to CVD risk might have changed their coffee consumption before baseline, so baseline disease, especially hypertension, as a confounder could result in reverse causation.
“First, individuals with hypertension or other conditions related to CVD risk might have changed their coffee consumption before baseline. Thus, baseline disease, especially hypertension, as a confounder could result in reverse causation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe non-linear U-shaped association between coffee consumption and CVD risk might also be true based on plausible biological mechanisms.
“The non-linear U-shaped between coffee consumption and CVD risk might also be true based on plausible biological mechanisms.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCoffee consumption has been associated with higher insulin sensitivity, a lower risk of type 2 diabetes, and lower concentrations of inflammatory markers such as C-reactive protein and E-selectin.
“Coffee consumption has been associated with higher insulin sensitivity, a lower risk of type 2 diabetes, and lower concentrations of inflammatory markers such as C-reactive protein and E-selectin.33, 34”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] van Dam RM Hu FB Coffee consumption and risk of type 2 diabetes: A systematic review JAMA 2005 294 97 104 15998896 source
Not checked in the free run.
- cites [34] Williams CJ Fargnoli JL Hwang JJ van Dam RM Blackburn GL Hu FB Mantzoros CS Coffee consumption is associated with higher plasma adiponectin concentrations in women with or without type 2 diabetes: A prospective cohort study Diabetes Care 2008 31 504 507 18070989 PMC2737446 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA recent cohort study found that 4 cups/day of coffee consumption was associated with increased mortality, but the association was significant only for participants under 55 years old.
“A recent cohort study by Liu et al32 found that 4 cups per day of coffee consumption was associated with increased mortality, but the association was only significant for participants under 55 years old.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Liu J Sui X Lavie CJ Hebert JR Earnest CP Zhang J Blair SN Association of coffee consumption with all-cause and cardiovascular disease mortality Mayo Clin Proc 2013 88 1066 74 doi: 10.1016/j.mayocp.2013.06.020. Epub 2013 Aug 15 23953850 PMC3835155 source
Not checked in the free run.
May combine two claims.
PremisecitationCase-control studies, which are prone to recall bias and selection bias, tended to show a positive association between coffee consumption and CVD risk, whereas cohort studies generally showed a null association.
“Case-control studies, which are prone to recall bias and selection bias, tended to show a positive association, whereas cohort studies generally showed a null association.10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Greenland S A meta-analysis of coffee, myocardial infarction, and coronary death Epidemiology 1993 4 366 374 8347748 source
Not checked in the free run.
May combine two claims.
Premisenone givenIn earlier studies, the sample size was typically small, measurement of baseline characteristics was typically crude, statistical control of confounders such as diet was inadequate, and the average NOS study quality score was lower.
“Second, in earlier studies, the sample size was typically small; the measurement of baseline characteristics was typically crude; statistical control of confounders such as diet was inadequate; and the average NOS study quality score was lower.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe non-linear U-shaped association between coffee consumption and CVD risk might be due to a combination of beneficial and detrimental effects: for moderate coffee consumption, beneficial effects may be greater than adverse effects, whereas for heavy consumption, detrimental effects may counterbalance beneficial effects.
“The non-linear U-shaped between coffee consumption and risk of CVD might be due to a combination of beneficial and detrimental effects: for moderate coffee consumption, beneficial effects may be greater than adverse effects; whereas for heavy consumption, detrimental effect may counterbalance beneficial effects.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBecause higher coffee consumption was generally associated with a less healthy lifestyle such as higher prevalence of cigarette smoking, less physical activity, and a less healthy diet, the observed association between moderate coffee consumption and lower CVD risk is unlikely to be explained by these confounders.
“However, since higher coffee consumption was generally associated with a less healthy lifestyle such as a higher prevalence of cigarette smoking, less physical activity, and a less healthy diet, the observed association between moderate coffee consumption and a lower CVD risk is unlikely to be explained by these confounders.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningResidual confounding by smoking may have biased the association for heavy coffee consumption upward, which may explain the finding that adjustment for smoking and other covariates strengthened the inverse association.
“In addition, residual confounding by smoking may have biased the association for heavy coffee consumption upward, which may explain our finding that adjustment for smoking and other covariates actually strengthened the inverse association.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataBoth semi-parametric and parametric methods indicated a U-shaped relationship between coffee consumption and CVD risk.
“Third, we used both semi-parametric and parametric methods, and both analyses indicated a U-shaped relationship between coffee consumption and CVD risk.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenGiven coffee consumption habits in the studied populations, most consumed coffee is likely to have been filtered coffee.
“However, given coffee consumption habits in the studied populations most consumed coffee is likely to have been filtered coffee.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataStratified analyses according to disease endpoints, geographic locations, type of coffee, and baseline characteristics of study populations were conducted, and the subgroup results are highly consistent and robust.
“Finally, we conducted stratified analyses according to disease endpoints, geographic locations of the studies, type of coffee, and baseline characteristics of the study populations. The subgroup results are highly consistent and robust.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThis meta-analysis included 35 cohort studies and 1,283,685 participants, which provided sufficient power to detect modest associations.
“First, our meta-analysis included 35 cohort studies and 1,283,685 participants, which provided sufficient power to detect modest associations.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningBecause all included studies had a prospective design, differential misclassification of coffee consumption due to recall bias was minimized and the likelihood of selection bias was reduced.
“Second, because of the prospective design of all included studies, differential misclassification of coffee consumption due to recall bias was minimized and the likelihood of selection bias is reduced.”
Quote in the paperSubstantial claim
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.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In Ding et al. (2014), compared with the lowest coffee consumption, RRs of CHD were 0.89 (95% CI 0.85-0.94) for the first category (median 1.5 cups/day), 0.90 (0.84-0.97) for the second (3.5 cups/day), and 0.93 (0.84-1.02) for the third (5 cups/day).
“Compared with the lowest category of coffee consumption (median zero cups per day), the RRs of CHD were 0.89 (95 % CI = 0.85-0.94)for the first category (median 1.5 cups per day), 0.90 (95 % CI = 0.84-0.97)for the second category (median 3.5 cups per day) and 0.93 (95 % CI = 0.84-1.02)for the third category of coffee consumption (median five cups per day).”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al., 2014
In Ding et al. (2014), coffee consumption was inversely associated with risk of CVD up to eight cups/day; no association was observed between coffee consumption and CHD risk at higher intake.
“Coffee consumption was inversely associated with the risk of CVD up to eight cups per day.No association was observed between coffee consumption and CHD risk at higher intake.”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al., 2014
In the dose-response meta-analysis by Ding et al. (2014), coffee consumption was inversely associated with the risk of CVD up to six cups per day.
“In the dose-response analysis, coffee consumption was inversely associated with the risk of CVD up to six cups per day.”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al. (2014)
In the dose-response meta-analysis by Ding et al. (2014), no association was observed between coffee consumption of higher intakes and the risk of stroke.
“No association was observed between coffee consumption of higher intakes and the risk of stroke.”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al. (2014)
In the dose-response meta-analysis by Ding et al. (2014), coffee consumption up to about four cups per day was inversely associated with the risk of stroke.
“Coffee consumption up to about four cups per day was inversely associated with the risk of stroke.”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al. (2014)
In the dose-response meta-analysis by Ding et al. (2014), no association was observed between coffee consumption and CVD risk at higher intake.
“No association was observed between coffee consumption and CVD risk at higher intake.”
From Scientific Opinion on the safety of caffeine (2015) · cites this paper as Ding et al. (2014)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Participant totals differ between abstract and results
MajorThe abstract reports 1,279,804 participants in 36 studies, whereas the Results reports approximately 1,283,685 participants in the same number of studies.
“Thirty-six studies were included with 1,279,804 participants and 36,352 CVD cases.”
“The included studies comprised approximately 1,283,685 study participants and 47,779 CVD cases”
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“For the parametric method, a dose–response meta-analysis was performed.(24) The number of cases and participants in each coffee consumption category was extracted to estimate the covariance of the RR in each study.”
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“Short-term metabolic studies found that caffeine ingestion acutely induces cardiac arrhythmias and increases plasma renin activity, catecholamine concentrations, and blood pressure.(2,3) In the 1980s, cross-sectional studies found a positive association between coffee consumption and serum total cholesterol concentrat…”
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“The relationship between coffee consumption and risk of coronary heart disease was first studied in the 1960s, given that the prevalences of both coffee drinking and coronary heart disease (CHD) were high in Western countries.(1) Short-term metabolic studies found that caffeine ingestion acutely induces cardiac arrhyt…”
Association of Coffee Drinking with Total and Cause-Specific Mortality
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Coffee, CYP1A2 genotype, and risk of myocardial infarction
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THE CHOLESTEROL-RAISING FACTOR FROM COFFEE BEANS
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“Recently, a genome-wide association study found a highly significant association between a variant of CYP1A2 and coffee intake.(48) However, this variant explains only a very small population variance.”
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“Long-term heavy coffee consumption has been associated with a slightly elevated risk of hypertension(40) and a higher level of plasma homocysteine.(41,42) In addition, cafestol in unfiltered coffee increases serum total cholesterol concentrations.”
Coffee Consumption and Coronary Heart Disease in Men and Women: A Prospective Cohort Study
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Self-citationCoffee and Myocardial Infarction
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Coffee Consumption and Risk of Stroke: A Dose-Response Meta-Analysis of Prospective Studies
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The Effect on Serum Cholesterol Levels of Coffee Brewed by Filtering or Boiling
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“It has been shown that drinking boiled coffee increases serum cholesterol, an important risk factor for CVD.(5) Second, in earlier studies, the sample size was typically small, the measurement of baseline characteristics was typically crude, statistical control of confounders such as diet was inadequate, and the avera…”
InfluentialWu, J.-N., Ho, S. C., Zhou, C., Ling, W.-H., Chen, W.-Q., Wang, C.-L., & Chen, Y.-M. (2009) · International Journal of Cardiology · doi:10.1016/j.ijcard.2008.06.051 · Cited by 185 · see citing works
Habitual Coffee Consumption and Risk of Heart Failure: A Dose-Response Meta-Analysis
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“Meta-analyses have been published to summarize the association between coffee and risk of CHD,(14) stroke,(15) and heart failure.(16) These meta-analyses did not support an association between coffee consumption and Background—Considerable controversy exists on the association between coffee consumption and cardiovasc…”
Coffee Consumption and the Risk of Coronary Heart Disease and Death
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The Arrhythmogenic Effects of Caffeine in Human Beings
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“Short-term metabolic studies found that caffeine ingestion acutely induces cardiac arrhythmias and increases plasma renin activity, catecholamine concentrations, and blood pressure.(2,3) In the 1980s, cross-sectional studies found a positive association between coffee consumption and serum total cholesterol concentrat…”
Coffee Consumption and Risk of Stroke in Women
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A meta‐analysis of coffee, myocardial infarction, and coronary death
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“In contrast, meta-analyses of prospective cohort studies tended to find no association, although results varied substantially across studies.(9,10)”
Effect of Coffee on Endothelial Function in Healthy Subjects: The Role of Caffeine
PAPAMICHAEL, C. M., AZNAOURIDIS, K. A., KARATZIS, E. N., KARATZI, K. N., STAMATELOPOULOS, K. S., VAMVAKOU, G., LEKAKIS, J. P., & MAVRIKAKIS, M. E. (2005) · Clinical Science · doi:10.1042/cs20040358 · Cited by 161 · cited 1× · see citing works
“However, shortterm metabolic studies have shown that caffeine can acutely increase blood pressure by antagonizing the adenosine A 1 and A 2A receptors and could acutely affect arterial stiffness and endothelium-dependent vasodilation adversely.(38,39) Long-term heavy coffee consumption has been associated with a sligh…”
Williams, C. J., Fargnoli, J. L., Hwang, J. J., van Dam, R. M., Blackburn, G. L., Hu, F. B., & Mantzoros, C. S. (2008) · Diabetes Care · doi:10.2337/dc07-1952 · Cited by 159 · see citing works
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“Long-term heavy coffee consumption has been associated with a slightly elevated risk of hypertension(40) and a higher level of plasma homocysteine.(41,42) In addition, cafestol in unfiltered coffee increases serum total cholesterol concentrations.”
Coffee consumption and death from coronary heart disease in middle aged Norwegian men and women
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Tea and Coffee Consumption and Cardiovascular Morbidity and Mortality
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Coffee consumption and risk of coronary heart disease: a meta‐analysis
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Does coffee drinking increase the risk of coronary heart disease? Results from a meta‐analysis
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“In contrast, meta-analyses of prospective cohort studies tended to find no association, although results varied substantially across studies.(9,10)”
Coffee and tea consumption and risk of stroke subtypes in male smokers
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Coffee Drinking Is Dose-Dependently Related to the Risk of Acute Coronary Events in Middle-Aged Men
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“Moreover, a number of additional studies have been published since the publication of these meta-analyses, and 1 recent meta-analysis showed that heavy coffee consumption was not associated with risk of CVD mortality.(20) To examine the dose–response association of coffee consumption with CVD risk, we conducted a syst…”
Karatzis, E., Papaioannou, T. G., Aznaouridis, K., Karatzi, K., Stamatelopoulos, K., Zampelas, A., Papamichael, C., Lekakis, J., & Mavrikakis, M. (2005) · International Journal of Cardiology · doi:10.1016/j.ijcard.2003.11.013 · Cited by 116 · cited 1× · see citing works
“However, shortterm metabolic studies have shown that caffeine can acutely increase blood pressure by antagonizing the adenosine A 1 and A 2A receptors and could acutely affect arterial stiffness and endothelium-dependent vasodilation adversely.(38,39) Long-term heavy coffee consumption has been associated with a sligh…”
Floegel, A., Pischon, T., Bergmann, M. M., Teucher, B., Kaaks, R., & Boeing, H. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.023648 · Cited by 107 · see citing works
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Coffee and cholesterol in epidemiological and experimental studies
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Transient Exposure to Coffee as a Trigger of a First Nonfatal Myocardial Infarction
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Coffee Consumption and Risk of Stroke in Women
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Association of Coffee Consumption With All-Cause and Cardiovascular Disease Mortality
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In Reply—Association of Coffee Consumption With All-Cause and Cardiovascular Disease Mortality
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Coffee Consumption and Risk of Cardiovascular Events After Acute Myocardial Infarction
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Coffee Consumption in Hypertensive Men in Older Middle-Age and the Risk of Stroke
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Coffee consumption and mortality in a 14-year follow-up of an elderly northern Finnish population
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Coffee Consumption and Coronary Heart Disease in Middle‐aged Swedish Men
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“One study with coffee consumption modeled as a continuous variable was excluded from the main analysis.(26) We added the RR from this study to the dose–response analysis by a”
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Coffee intake and coronary heart disease
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2018 ESC/ESH Guidelines for the management of arterial hypertension
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Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes
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Mendelian randomization for cardiovascular diseases: Principles and applications
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“82 It should be noted that MR analyses have assumed a linear relationship be-tween coffee consumption and CVD, and results might therefore have been attenuated to the null if the relationship is non-linear as suggested by observational studies (lowest CVD risk at three to five cups per day).”
InfluentialScientific Opinion on the safety of caffeine
EFSA Panel on Dietetic Products, N. A. A. (. (2015) · EFSA Journal · doi:10.2903/j.efsa.2015.4102 · Cited by 613 · see citing works
Coffee, Caffeine, and Health Outcomes: An Umbrella Review
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Self-citationThe 2015 Dutch food-based dietary guidelines
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Cardiovascular Disease Prevention by Diet Modification
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“Regular consumption of coffee has been consistently associated with lower risk of CVD, with the greatest risk reduction occurring at around 3–5 cups per day conferring an 11% lower risk (43).”
BackgroundSelf-citationNutrition and Cardiovascular Health
Casas, R. M., Castro‐Barquero, S., Estruch, R., & Sacanella, E. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123988 · Cited by 344 · see citing works
“A meta-analysis [223], including 14 prospective cohort studies with 1,279,804 participants and 36,352 CVD cases, showed that moderate consumption of coffee (three to five cups/day) was associated with a lower CVD risk compared with non-consumers.”
Dose–Response Relationship Between Physical Activity and Risk of Heart Failure: A Meta-Analysis
Pandey, A., Garg, S., Khunger, M., Darden, D., Ayers, C., Kumbhani, D. J., Mayo, H. G., de Lemos, J. A., & Berry, J. D. (2015) · Circulation · doi:10.1161/circulationaha.115.015853 · Cited by 272 · see citing works
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Long‐Term Cardiovascular Risk After Radiotherapy in Women With Breast Cancer
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Neuroprotective Effects of Coffee Bioactive Compounds: A Review
Socała, K., Szopa, A., Serefko, A., Poleszak, E., & Właź, P. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms22010107 · Cited by 263 · see citing works
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“However, the overall evidence from epidemiological studies indicates nonlinear relationships between coffee consumption and risk of total cardiovascular disease, coronary heart disease, and stroke.(64) In a meta-analysis of 36 prospective cohort studies with almost 1.”
BackgroundCaffeine Consumption through Coffee: Content in the Beverage, Metabolism, Health Benefits and Risks
DePaula, J., & Farah, A. (2019) · Beverages · doi:10.3390/beverages5020037 · Cited by 240 · see citing works
Cafestol and Kahweol: A Review on Their Bioactivities and Pharmacological Properties
Ren, Y., Wang, C., Xu, J., & Wang, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174238 · Cited by 209 · see citing works
“Statistics show that moderate consumption of coffee (3 to 5 cups/day) reduces the risk of cardiovascular disease [2].”
BackgroundEffects of coffee/caffeine on brain health and disease: What should I tell my patients?
Nehlig, A. (2015) · Practical Neurology · doi:10.1136/practneurol-2015-001162 · Cited by 206 · see citing works
Ding, M., Satija, A., Bhupathiraju, S. N., Hu, Y., Sun, Q., Han, J., López‐García, E., Willett, W. C., van Dam, R. M., & Hu, F. B. (2015) · Circulation · doi:10.1161/circulationaha.115.017341 · Cited by 203 · see citing works
“Coffee consumption has been inversely associated with risks of type 2 diabetes mellitus,(1) liver cancer,(2) endometrial cancer,(3) lethal prostate cancer,(4) basal cell carcinoma of the skin,(5) and neurologic diseases,(6) as well as with risk of cardiovascular disease (CVD) when consumed in moderation.(7)”
BackgroundSelf-citationThe Impact of Coffee on Health
Nieber, K. (2017) · Planta Medica · doi:10.1055/s-0043-115007 · Cited by 203 · see citing works
“Interestingly, a meta-analysis published in 2014 [28] concluded that moderate coffee consumption (3–5 cups/day) was associated with a lower CVD risk, and heavy coffee consumption (≥ 6 cups/day) was neither associated with a higher nor a lower risk of CVD.”
BackgroundZhang, Y., Yang, H., Li, S., Li, W., & Wang, Y. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003830 · Cited by 196 · see citing works
“In the spline models, we adjusted for sex, age, ethnicity, education, income, body mass index (BMI), physical activity, alcohol status, smoking status, diet pattern, consumption of sugar-sweetened beverages, HDL, LDL, history of cancer, history of diabetes, history of CAD, and hypertension; PLOS Medicine | https://doi…”
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Nordestgaard, A. T., Thomsen, M., & Nordestgaard, B. G. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv083 · Cited by 189 · see citing works
Coffee consumption and disease correlations
Gökcen, B. B., & Şanlıer, N. (2017) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2017.1369391 · Cited by 188 · see citing works
“As a result of a meta-analysis by Ding et al. (2013), 3–5 cups/day (moderate) consumption was related to lower risk of cardiovascular disease and 6 cups/day B. B.”
BackgroundMonteiro, J., Alves, M. G., Oliveira, P. F., & Silva, B. M. (2016) · Molecules · doi:10.3390/molecules21080974 · Cited by 189 · see citing works
“Moreover, epidemiologic studies have provided evidence of the cardioprotective actions of methylxanthine-containing beverages, in reducing the risk of coronary heart disease and stroke [263–265].”
BackgroundAssociation of Coffee Drinking With Mortality by Genetic Variation in Caffeine Metabolism
Loftfield, E., Cornelis, M. C., Caporaso, N. E., Yu, K. F., Sinha, R. R., & Freedman, N. D. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.2425 · Cited by 179 · see citing works
Natural Products to Counteract the Epidemic of Cardiovascular and Metabolic Disorders
Waltenberger, B., Mocan, A., Šmejkal, K., Heiß, E. H., & Atanasov, A. G. (2016) · Molecules · doi:10.3390/molecules21060807 · Cited by 177 · see citing works
Consumers’ Perceptions of Coffee Health Benefits and Motives for Coffee Consumption and Purchasing
Samoggia, A., & Riedel, B. (2019) · Nutrients · doi:10.3390/nu11030653 · Cited by 179 · see citing works
Grosso, G., Micek, A., Godos, J., Sciacca, S., Pająk, A., Martínez‐González, M. Á., Giovannucci, E. L., & Galvano, F. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0202-2 · Cited by 175 · see citing works
Man, A. W. C., Li, H., & Xia, N. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/1496462 · Cited by 173 · see citing works
Coffee and tea on cardiovascular disease (CVD) prevention
Chieng, D., & Kistler, P. M. (2021) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2021.08.004 · Cited by 172 · see citing works
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Atheroprotective effects of (poly)phenols: a focus on cell cholesterol metabolism
Zanotti, I., Dall’Asta, M., Mena, P. R., Mele, L., Bruni, R., Ray, S., & Rio, D. D. (2014) · Food & Function · doi:10.1039/c4fo00670d · Cited by 158 · see citing works
Barrea, L., Pugliese, G., Frías-Toral, E., Ghoch, M. E., Castellucci, B., Chapela, S. P., Carignano, M. D. L. A., Laudisio, D., Savastano, S., Colao, A., et al. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1963207 · Cited by 159 · see citing works
Acidity and Antioxidant Activity of Cold Brew Coffee
Rao, N. Z., & Fuller, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-34392-w · Cited by 144 · see citing works
Relationship of Daily Step Counts to All-Cause Mortality and Cardiovascular Events
Stens, N. A., Bakker, E. A., Mañas, A., Buffart, L. M., Ortega, F. B., Lee, D.-C., Thompson, P. D., Thijssen, D. H. J., & Eijsvogels, T. M. H. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.07.029 · Cited by 137 · see citing works
Loftfield, E., Freedman, N. D., Graubard, B. I., Guertin, K. A., Black, A., Huang, W., Shebl, F. M., Mayne, S. T., & Sinha, R. R. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv146 · Cited by 124 · see citing works
“The association between coffee and risk of coronary heart disease continues to be debated (4) because of inconsistent results derived by varying study designs (33, 34), as well as small experimental studies showing that acute intake of coffee and caffeine can increase blood pressure (35) and adversely affect endotheli…”
BackgroundZhou, A., & Hyppönen, E. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy297 · Cited by 120 · see citing works
“2014 (6), adjustments vary between studies.”
BackgroundResultInfluentialThe Medicinal Chemistry of Caffeine
Faudone, G., Arifi, S., & Merk, D. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c00261 · Cited by 122 · see citing works
Vinke, P. C., Corpeleijn, E., Dekker, L. H., Jacobs, D. R., Navis, G. J., & Kromhout, D. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0205-z · Cited by 118 · see citing works
“2 diabetes.(36,37) Combined with the methodological constraint that most dietary assessment 265”
BackgroundLiu, D., Li, Z., Shen, D., Zhang, P., Song, W.-Q., Zhang, W., Huang, Q., Chen, P., Zhang, X., & Mao, C. (2022) · Annals of Internal Medicine · doi:10.7326/m21-2977 · Cited by 120 · see citing works
“The current findings were consistent with findings from previous meta-analyses of observational studies (2, 3, 22) that moderate coffee consumption was associated with a U-shaped low risk for all-cause mortality.”
ResultUnderstanding the Links Between Cardiovascular Disease and Parkinson's Disease
Potashkin, J., Huang, X., Becker, C., Chen, H., Foltynie, T., & Marras, C. (2019) · Movement Disorders · doi:10.1002/mds.27836 · Cited by 117 · see citing works
Natural Bioactive Compounds Useful in Clinical Management of Metabolic Syndrome
Noce, A., Lauro, M. D., Daniele, F. D., Zaitseva, A. P., Marrone, G., Borboni, P., & Daniele, N. D. (2021) · Nutrients · doi:10.3390/nu13020630 · Cited by 116 · see citing works
“Furthermore, caffeine has been associated with a dose-dependent reduction in glucose absorption [114,161,162].”
BackgroundLebeau, P. F., Byun, J. H., Platko, K., Saliba, P., Sguazzin, M. A., MacDonald, M. E., Paré, G., Steinberg, G. R., Janssen, L. J., Igdoura, S. A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28240-9 · Cited by 112 · see citing works
Coffee for Cardioprotection and Longevity
O’Keefe, J. H., DiNicolantonio, J. J., & Lavie, C. J. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.02.002 · Cited by 106 · see citing works
The Potential of Spent Coffee Grounds in Functional Food Development
Bevilacqua, E., Cruzat, V. F., Singh, I., Rose’Meyer, R. B., Panchal, S. K., & Brown, L. (2023) · Nutrients · doi:10.3390/nu15040994 · Cited by 114 · see citing works
“In addition, a meta-analysis showed those who consume three to five cups of caffeinated coffee a day have lower incidence of coronary artery disease, stroke and death due to cardiovascular causes [130].”
BackgroundSurma, S., Sahebkar, A., & Banach, M. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106596 · Cited by 99 · see citing works
Grosso, G., Micek, A., Godos, J., Pająk, A., Sciacca, S., Bes‐Rastrollo, M., Galvano, F., & Martínez‐González, M. Á. (2017) · Nutrients · doi:10.3390/nu9080890 · Cited by 102 · see citing works
“cardiovascular disease (CVD), including coronary heart disease and stroke [5], and mortality [6] suggesting that moderate consumption is key for its beneficial effects.”
BackgroundRodríguez‐Artalejo, F., & López‐García, E. (2017) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.7b04506 · Cited by 99 · see citing works
Shin, S., Lee, J. E., Loftfield, E., Shu, X., Abe, S. K., Rahman, M. S., Saito, E., Islam, M. R., Tsugane, S., Sawada, N., et al. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyab161 · Cited by 98 · see citing works
Pharmacological potential of methylxanthines: Retrospective analysis and future expectations
Monteiro, J., Alves, M. G., Oliveira, P. F., & Silva, B. M. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1461607 · Cited by 103 · see citing works
“It seems that caffeine may not be the only responsible for the effects produced by coffee, since both caffeinated and decaffeinated coffee were associated with reduced diabetes risk (Ding et al. 2014a; Pereira, Parker, and Folsom 2006; van Dam et al. 2006).”
BackgroundInfluentialHow coffee affects metabolic syndrome and its components
Başpınar, B., Eskici, G., & Özçelik, A. Ö. (2017) · Food & Function · doi:10.1039/c7fo00388a · Cited by 90 · see citing works
A Clinician’s Guide for Trending Cardiovascular Nutrition Controversies
Freeman, A. M., Morris, P. B., Aspry, K. E., Gordon, N. F., Barnard, N. D., Esselstyn, C. B., Ros, E., Devries, S. R., O’Keefe, J. H., Miller, M. J., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.05.030 · Cited by 93 · see citing works
“Overall, large analyses indicate that coffee intake is correlated with a doseresponse protective benefit: habitual consumption of coffee is associated with lower risks of all-cause mortality and CVD mortality (69,70), but not with an increased risk of arrhythmias, hypertension, or hyperlipidemia.”
BackgroundAkomolafe, S. F., Akinyemi, A. J., Ogunsuyi, O. B., Oyeleye, S. I., Oboh, G., Adeoyo, O. O., & Allismith, Y. R. (2017) · NeuroToxicology · doi:10.1016/j.neuro.2017.04.008 · Cited by 89 · see citing works
Chieng, D., Cánovas, R., Segan, L. A., Sugumar, H., Voskoboinik, A., Prabhu, S., Ling, L., Lee, G., Morton, J. B., Kaye, D. M., et al. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac189 · Cited by 89 · see citing works
Lifestyle and clinical determinants of skin autofluorescence in a population‐based cohort study
van Waateringe, R. P., Slagter, S. N., van der Klauw, M. M., van Vliet‐Ostaptchouk, J. V., Graaff, R., Paterson, A. D., Lutgers, H. L., & Wolffenbuttel, B. H. R. (2016) · European Journal of Clinical Investigation · doi:10.1111/eci.12627 · Cited by 88 · see citing works
Bartella, L., Donna, L. D., Napoli, A., Siciliano, C., Sindona, G., & Mazzotti, F. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2018.11.072 · Cited by 88 · see citing works
Zimmermann-Viehoff, F., Thayer, J., Koenig, J., Herrmann, C., Weber, C. S., & Deter, H.-C. (2016) · Nutritional Neuroscience · doi:10.1179/1476830515y.0000000018 · Cited by 87 · see citing works
Leptin and Nutrition in Gestational Diabetes
Pérez‐Pérez, A., Vilariño‐García, T., Guadix, P., Dueñas, J. L., & Sánchez‐Margalet, V. (2020) · Nutrients · doi:10.3390/nu12071970 · Cited by 91 · see citing works
Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers
Loftfield, E., Shiels, M. S., Graubard, B. I., Katki, H. A., Chaturvedi, A. K., Trabert, B. L., Pinto, L. A., Kemp, T. J., Shebl, F. M., Mayne, S. T., et al. (2015) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-15-0038-t · Cited by 84 · see citing works
“In contrast, themore recent epidemiologic evidence suggests inverse associations with cardiovascular disease (41), total and cardiovascular disease mortality (2–4) as well as type II diabetes (10), Parkinson's disease (42), chronic liver disease (11), and certain cancers (5, 6, 8).”
BackgroundResultCoffee consumption and risk of fractures: A systematic review and dose–response meta-analysis
Lee, D. R., Lee, J., Rota, M., Lee, J., Ahn, H. S., Park, S. M., & Shin, D. (2014) · Bone · doi:10.1016/j.bone.2014.02.007 · Cited by 83 · see citing works
“M aa tt a [2 3] 20 12 1 1 0 1 2 1 1 0 7”
Nordestgaard, A. T., & Nordestgaard, B. G. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw325 · Cited by 79 · see citing works
Nia, N. A., Foroughi, M. M., & Jahani, S. (2020) · Talanta · doi:10.1016/j.talanta.2020.121563 · Cited by 78 · see citing works
Association Between Coffee Intake After Diagnosis of Colorectal Cancer and Reduced Mortality
Hu, Y., Ding, M., Yuan, C., Wu, K., Smith-Warner, S. A., Hu, F. B., Chan, A. T., Meyerhardt, J. A., Ogino, S., Fuchs, C. S., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2017.11.010 · Cited by 75 · see citing works
Coffee consumption and risk of hypertension: a dose–response meta-analysis of prospective studies
D’Elia, L., Fata, E. L., Galletti, F., Scalfi, L., & Strazzullo, P. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1591-z · Cited by 77 · see citing works
“These results are in keeping with the evidence of a statistical inverse association between regular coffee consumption and risk of cardiovascular disease [6, 7].”
ResultVallejo, R. M., Schulz, C., van de Locht, K., Oluwagbemigun, K., Alexy, U., & Nöthlings, U. (2022) · Journal of Nutrition · doi:10.1093/jn/nxac094 · Cited by 74 · see citing works
“associated with lower risk of stroke and dementia (34), and an inverse association between CVD risk and moderate coffee consumption has been reported in a meta-analysis of 36 studies (35).”
BackgroundCoffee and Endothelial Function: A Coffee Paradox?
Higashi, Y. (2019) · Nutrients · doi:10.3390/nu11092104 · Cited by 75 · see citing works
Coffee consumption and risk of hypertension: A prospective analysis in the cohort study
Miranda, A. M., Goulart, A. C., Benseñor, I. M., Lotufo, P. A., & Marchioni, D. M. L. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.05.052 · Cited by 80 · see citing works
Li, J.-W., Xu, C., Ye, F., Wang, Y., & Xiao, Y.-B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102276 · Cited by 71 · see citing works
“If P for linearity is less than 0.05, we first got the estimating values directly from the cubic spine estimation, and then used semi-parametric methods described by Frank [9].”
InfluentialXiao, Q., Sinha, R. R., Graubard, B. I., & Freedman, N. D. (2014) · Hepatology · doi:10.1002/hep.27367 · Cited by 70 · see citing works
Mills, C. E., Flury, A., Marmet, C., Poquet, L., Rimoldi, S. F., Sartori, C. S., Rexhaj, E., Brenner, R., Allemann, Y., Zimmermann, D., et al. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.11.013 · Cited by 69 · see citing works
Spence, J. D. (2018) · Stroke and Vascular Neurology · doi:10.1136/svn-2017-000130 · Cited by 69 · see citing works
“44 As both decaffeinated and regular coffee appear to have equal benefit with regard to reduction of cardiovascular disase and diabetes, 45 46 it seems likely that benefits of coffee are from bioflavonoids.”
BackgroundKwok, M. K., Leung, G. M., & Schooling, C. M. (2016) · Scientific Reports · doi:10.1038/srep36500 · Cited by 69 · see citing works
Gaeini, Z., Bahadoran, Z., Mirmiran, P., & Azizi, F. (2019) · Nutrition & Metabolism · doi:10.1186/s12986-019-0355-6 · Cited by 76 · see citing works
Tverdal, A., Selmer, R. M., Cohen, J. M., & Thelle, D. S. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487320914443 · Cited by 68 · see citing works
Miranda, A. M., Steluti, J., Fisberg, R. M., & Marchioni, D. M. L. (2017) · Nutrients · doi:10.3390/nu9030276 · Cited by 67 · see citing works
Top 10 dietary strategies for atherosclerotic cardiovascular risk reduction
Sikand, G., & Severson, T. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100106 · Cited by 68 · see citing works
Hjartåker, A., Knudsen, M. D., Tretli, S., & Weiderpass, E. (2014) · European Journal of Nutrition · doi:10.1007/s00394-014-0741-9 · Cited by 66 · see citing works
Nutraceuticals and blood pressure control: a European Society of Hypertension position document
Borghi, C., Tsioufis, K. P., Agabiti‐Rosei, E., Burnier, M., Cicero, A. F. G., Clement, D. L., Coca, A., Desideri, G., Grassi, G. M., Lović, D. B., et al. (2020) · Journal of Hypertension · doi:10.1097/hjh.0000000000002353 · Cited by 67 · see citing works
“5 cups/day, and not higher for heavier drinkers [45].”
BackgroundMaso, M. D., Boffetta, P., Negri, E., Vecchia, C. L., & Bravi, F. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa177 · Cited by 64 · see citing works
“Comparable nonlinear associations between coffee consumption and CVD incidence/mortality in the US population were reported in previous dose–response meta-analyses (37, 38, 42) where no further risk reduction was observed for 1172 Di Maso et al.”
BackgroundResultWittenbecher, C., Cuadrat, R. R. C., Johnston, L., Eichelmann, F., Jäger, S., Kuxhaus, O., Prada, M., Fabiola Del Greco, M., Hicks, A. A., Hoffman, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28496-1 · Cited by 62 · see citing works
Self-citationChen, Y., Zhang, Y., Zhang, M., Yang, H., & Wang, Y. (2022) · BMC Medicine · doi:10.1186/s12916-022-02636-2 · Cited by 60 · see citing works
Tea consumption and attenuation of biological aging: a longitudinal analysis from two cohort studies
Xiang, Y., Xu, H., Chen, H., Tang, D., Huang, Z., Zhang, Y., Wang, Z., Wang, Z., Yangla, Han, M., et al. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.100955 · Cited by 68 · see citing works
“58 Possible mechanisms might involve the hormesis of bioactive substances in tea, which is characterized by low-dose stimulation and high-dose inhibition.”
BackgroundLarsson, S. C., Drca, N., Jensen‐Urstad, M., & Wolk, A. (2015) · BMC Medicine · doi:10.1186/s12916-015-0447-8 · Cited by 60 · see citing works
“Moderate coffee consumption has been associated with reduced risk of type 2 diabetes [2], coronary heart disease [3], stroke [3, 4], and mortality from all causes and cardiovascular disease [5].”
Hu, E. A., Selvin, E., Grams, M. E., Steffen, L. M., Coresh, J., & Rebholz, C. M. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.01.030 · Cited by 61 · see citing works
“Coffee consumption has been shown to be protective against multiple chronic conditions such as diabetes (3, 4), coronary heart disease (5), cancer (6, 7), and all-cause mortality (8– 11).”
BackgroundKinetic and Dynamic Description of Caffeine
Alsabri, S. G., Mari, W. O., Younes, S., Elsadawi, M., & Oroszi, T. L. (2018) · Journal of Caffeine and Adenosine Research · doi:10.1089/caff.2017.0011 · Cited by 61 · see citing works
Iacoviello, L., Bonaccio, M., Cairella, G., Catani, M. V., Costanzo, S., D’Elia, L., Giacco, R., Rendina, D., Sabino, P., Savini, I., et al. (2018) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2017.12.010 · Cited by 59 · see citing works
Shahinfar, H., Jayedi, A., Khan, T. A., & Shab‐Bidar, S. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.05.014 · Cited by 58 · see citing works
Kajikawa, M., Maruhashi, T., Hidaka, T., Nakano, Y., Kurisu, S., Matsumoto, T., Iwamoto, Y., Kishimoto, S., Matsui, S., Aibara, Y., et al. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1611-7 · Cited by 57 · see citing works
Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption
Karabegović, I., Portilla-Fernández, E., Li, Y., Ma, J., Maas, S. C. E., Sun, D., Hu, E. A., Kühnel, B., Zhang, Y., Ambatipudi, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22752-6 · Cited by 57 · see citing works
Coffee consumption and cardiometabolic health: a comprehensive review of the evidence
Ungvari, Z. I., & Kunutsor, S. K. (2024) · GeroScience · doi:10.1007/s11357-024-01262-5 · Cited by 64 · see citing works
“In stratified analyses, the results were similar across age, sex, smoking status, geographical location, and coffee subtype (caffeinated and decaf-feinated) [89].”
BackgroundResultInfluentialGan, Y., Wu, J., Zhang, S., Li, L., Cao, S., Mkandawire, N., Ji, K., Herath, C., Gao, C., Xu, H. W., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8627 · Cited by 55 · see citing works
“One potential interpretation of this finding was that coffee brewing methods had changed over time, and currently, the filter method is more popular, effectively replacing unfiltered forms of coffee, such as boiled coffee, which were more widely consumed by participants in earlier studies [39].”
Association of coffee consumption and chronic kidney disease: A meta-analysis
Wijarnpreecha, K., Thongprayoon, C., Thamcharoen, N., Panjawatanan, P., & Cheungpasitporn, W. (2016) · International Journal of Clinical Practice · doi:10.1111/ijcp.12919 · Cited by 55 · see citing works
The emerging role of sorting nexins in cardiovascular diseases
Yang, J., Villar, V. A. M., Rozyyev, S., Jose, P. A., & Zeng, C. (2019) · Clinical Science · doi:10.1042/cs20190034 · Cited by 55 · see citing works
Watanabe, T., Kobayashi, S., Yamaguchi, T. F., Hibi, M., Fukuhara, I., & Osaki, N. (2019) · Nutrients · doi:10.3390/nu11071617 · Cited by 61 · see citing works
Contributions of Interactions Between Lifestyle and Genetics on Coronary Artery Disease Risk
Said, M. A., van de Vegte, Y. J., Zafar, M., van der Ende, M. Y., Raja, G. K., Verweij, N., & van der Harst, P. (2019) · Current Cardiology Reports · doi:10.1007/s11886-019-1177-x · Cited by 54 · see citing works
The impact of coffee consumption on blood pressure, cardiovascular disease and diabetes mellitus
Chrysant, S. G. (2017) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2017.1287563 · Cited by 54 · see citing works
“11) Ding [16] Rev-Meta 1,279,804 20–83 5 2–32 CVD, death 0.”
Background
- 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
- PMC
- PMC3945962
- 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 · 2013: 1
- FWCI
- 21.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- 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 › 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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