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Effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health: a systematic review and meta-analysis of randomized trials
Open accessAbstract
Background There is substantial interest in chocolate and flavan-3-ols for the prevention of cardiovascular disease (CVD).Objective The objective was to systematically review the effects of chocolate, cocoa, and flavan-3-ols on major CVD risk factors.Design We searched Medline, EMBASE, and Cochrane databases for randomized controlled trials (RCTs) of chocolate, cocoa, or flavan-3-ols. We contacted authors for additional data and conducted duplicate assessment of study inclusion, data extraction, validity, and random-effects meta-analyses.Results We included 42 acute or short-term chronic (≤18 wk) RCTs that comprised 1297 participants. Insulin resistance (HOMA-IR: -0.67; 95% CI: -0.98, -0.36) was improved by chocolate or cocoa due to significant reductions in serum insulin. Flow-mediated dilatation (FMD) improved after chronic (1.34%; 95% CI: 1.00%, 1.68%) and acute (3.19%; 95% CI: 2.04%, 4.33%) intakes. Effects on HOMA-IR and FMD remained stable to sensitivity analyses. We observed reductions in diastolic blood pressure (BP; -1.60 mm Hg; 95% CI: -2.77, -0.43 mm Hg) and mean arterial pressure (-1.64 mm Hg; 95% CI: -3.27, -0.01 mm Hg) and marginally significant effects on LDL (-0.07 mmol/L; 95% CI: -0.13, 0.00 mmol/L) and HDL (0.03 mmol/L; 95% CI: 0.00, 0.06 mmol/L) cholesterol. Chocolate or cocoa improved FMD regardless of the dose consumed, whereas doses >50 mg epicatechin/d resulted in greater effects on systolic and diastolic BP. GRADE (Grading of Recommendations, Assessment, Development and Evaluation, a tool to assess quality of evidence and strength of recommendations) suggested low- to moderate-quality evidence of beneficial effects, with no suggestion of negative effects. The strength of evidence was lowered due to unclear reporting for allocation concealment, dropouts, missing data on outcomes, and heterogeneity in biomarker results in some studies.Conclusions We found consistent acute and chronic benefits of chocolate or cocoa on FMD and previously unreported promising effects on insulin and HOMA-IR. Larger, longer-duration, and independently funded trials are required to confirm the potential cardiovascular benefits of cocoa flavan-3-ols.
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“In this regard, the level of flavanols used in this current study is comparable to the level of cocoa flavanols fed in previous studies where improvements in brain blood flow, 19 vascular function, and blood pressure were observed.25”
From Benefits in Cognitive Function, Blood Pressure, and Insulin Resistance Through Cocoa Flavanol Consumption in Elderly Subjects With Mild Cognitive Impairment: The Cocoa, Cognition, and Aging (CoCoA) Study (2012) · cites this paper as [25]
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“In this regard, although we did not specifically evaluate the effect of cocoa flavanols on endothelial function, a number of studies, some also from our group, clearly demonstrated the ability of flavonoids to improve NO bioavailability in vasculature, 17,18,25 which, in turn, plays a pivotal role in modulating cerebrovascular tone.28”
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Moher, D., Pham, B., Jones, A., Cook, D. J., Jadad, A. R., Moher, M., Tugwell, P., & Klassen, T. P. (1998) · The Lancet · doi:10.1016/s0140-6736(98)01085-x · Cited by 3,560
Research works printed but not linked: 1
- Review Manager (RevMan). Version 5.0. Copenhagen, Denmark: The Nordic Cochrane Centre, The Cochrane Collaboration, 2008.
Cited by
Sorted by citations
Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216
Benefits of polyphenols on gut microbiota and implications in human health
Cardona, F., Andrés‐Lacueva, C., Tulipani, S., Tinahones, F. J., & Queipo‐Ortuño, M. I. (2013) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2013.05.001 · Cited by 1,615
“chronic diseases [42–48].”
The effects of polyphenols and other bioactives on human health
Fraga, C. G., Croft, K. D., Kennedy, D. O., & Tomás-Barberán, F. A. (2019) · Food & Function · doi:10.1039/c8fo01997e · Cited by 1,200
Rodriguez‐Mateos, A., Vauzour, D., Krueger, C. G., Shanmuganayagam, D., Reed, J. D., Calani, L., Mena, P. R., Rio, D. D., & Crozier, A. (2014) · Archives of Toxicology · doi:10.1007/s00204-014-1330-7 · Cited by 623
Williamson, G., Kay, C. D., & Crozier, A. (2018) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12351 · Cited by 620
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Metadata
- Authors
- Hooper, L., Kay, C., Abdelhamid, A., Kroon, P. A., Cohn, J. S., Rimm, E. B., & Cassidy, A.
- Affiliations
- University of East Anglia (GB)
- Corresponding author
- Hooper, Lee
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 95
- Issue
- 3
- Pages
- 740-751
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2129761592
- Cited by
- 610
- References
- 90
- Citations by year
- 2026: 15 · 2025: 19 · 2024: 32 · 2023: 24 · 2022: 29 · 2021: 35 · 2020: 37 · 2019: 43 · 2018: 63 · 2017: 56 · 2016: 64 · 2015: 54 · 2014: 50 · 2013: 66 · 2012: 22
- FWCI
- 6.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Research Portal (Queen's University Belfast) (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- GlaxoSmithKline
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council (BBS/E/F/00044434)
- Topics
- Health Sciences › Medicine › Biochemistry (medical) › Phytochemicals and Antioxidant Activities
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Chemistry and Fat Analysis
- Health Sciences › Medicine › Pharmacology (medical) › Coffee research and impacts
- Keywords
- chocolate, Theobroma cacao, flavan-3-ols, epicatechin, cardiovascular disease prevention, insulin resistance, flow-mediated dilation, endothelial function, blood pressure, LDL cholesterol, HDL cholesterol, cardiovascular risk factors, dose-response relationship, quality of evidence, GRADE, adverse effects
- MeSH terms
- Blood Glucose, Blood Pressure, Cacao, Candy, Cardiovascular Diseases, Cardiovascular System, Flavonoids, Humans, Insulin, Risk Factors, Reproducibility of Results, Biomarkers, Randomized Controlled Trials as Topic
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