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Flavonoid-Rich Cocoa Consumption Affects Multiple Cardiovascular Risk Factors in a Meta-Analysis of Short-Term Studies
Open accessAbstract
A growing body of evidence suggests that the consumption of foods rich in polyphenolic compounds, particularly cocoa, may have cardioprotective effects. No review, however, has yet examined the effect of flavonoid-rich cocoa (FRC) on all major cardiovascular risk factors or has examined potential dose-response relationships for these effects. A systematic review and meta-analysis of randomized, controlled trials was performed to evaluate the effect of FRC on cardiovascular risk factors and to assess a dose-response relationship. Inclusion and exclusion criteria as well as dependent and independent variables were determined a priori. Data were collected for: blood pressure, pulse, total cholesterol, HDL cholesterol, LDL cholesterol, TG, BMI, C-reactive protein, flow-mediated vascular dilation (FMD), fasting glucose, fasting insulin, serum isoprostane, and insulin sensitivity/resistance indices. Twenty-four papers, with 1106 participants, met the criteria for final analysis. In response to FRC consumption, systolic blood pressure decreased by 1.63 mm Hg (P = 0.033), LDL cholesterol decreased by 0.077 mmol/L (P = 0.038), and HDL cholesterol increased by 0.046 mmol/L (P = 0.037), whereas total cholesterol, TG, and C-reactive protein remained the same. Moreover, insulin resistance decreased (HOMA-IR: -0.94 points; P < 0.001), whereas FMD increased (1.53%; P < 0.001). A nonlinear dose-response relationship was found between FRC and FMD (P = 0.004), with maximum effect observed at a flavonoid dose of 500 mg/d; a similar relationship may exist with HDL cholesterol levels (P = 0.06). FRC consumption significantly improves blood pressure, insulin resistance, lipid profiles, and FMD. These short-term benefits warrant larger long-term investigations into the cardioprotective role of FRC.
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“A few short-term trials of other dietary sources (e.g., tea, red wine, grapes) or specific flavonoid extracts have not consistently improved BP, lipid levels, or endothelial function.295-297”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [295]
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“In laboratory studies and randomized trials, flavonoid-rich cocoa has small but measurable benefits on BP, endothelial function, insulin resistance, and blood lipids.295-297”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [295]
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Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
Meta-analyses involving cross-over trials: methodological issues
Elbourne, D. R., Altman, D. G., Higgins, J. P., Curtin, F., Worthington, H. V., & Vail, A. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.140 · Cited by 2,305
Hooper, L., Kroon, P. A., Rimm, E. B., Cohn, J. S., Harvey, I., Le Cornu, K. A., Ryder, J. J., Hall, W. L., & Cassidy, A. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.1.38 · Cited by 1,097
Grassi, D., Necozione, S., Lippi, C., Croce, G., Valeri, L., Pasqualetti, P., Desideri, G., Blumberg, J. B., & Ferri, C. (2005) · Hypertension · doi:10.1161/01.hyp.0000174990.46027.70 · Cited by 546
Grassi, D., Lippi, C., Necozione, S., Desideri, G., & Ferri, C. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.3.611 · Cited by 510
Grassi, D., Desideri, G., Necozione, S., Lippi, C., Casale, R., Properzi, G., Blumberg, J. B., & Ferri, C. (2008) · The Journal of Nutrition · doi:10.1093/jn/138.9.1671 · Cited by 481
Taubert, D., Roesen, R., Lehmann, C., Jung, N., & Schömig, E. (2007) · JAMA · doi:10.1001/jama.298.1.49 · Cited by 476
Engler, M. B., Engler, M. M., Chen, C. Y., Malloy, M. J., Browne, A., Chiu, E. Y., Kwak, H., Milbury, P. E., Paul, S. M., Blumberg, J. B., et al. (2004) · Journal of the American College of Nutrition · doi:10.1080/07315724.2004.10719361 · Cited by 465
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Research works printed but not linked: 1
- Higgins JP, Green S, editors. Analysing and reporting results. In:Cochrane handbook for systematic reviews of interventions 8.7.2 (updated May 2005). Cichester (UK): Wiley & Sons, Ltd; 2007.
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Items 201–234 of 234
Weigant, J., Afchar, A., Barzen, M., Dicks, L., Zimmermann, B. F., Schmid, M. C., Weinhold, L., Stoffel‐Wagner, B., Ellinger, J., Stehle, P., et al. (2025) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202400490 · Cited by 2
Koga, J., Ojiro, K., Yanagida, A., Suto, T., Hiki, H., Inoue, Y., Sakai, C., Nakamoto, K., Fujisawa, Y., Orihara, A., et al. (2022) · Current Developments in Nutrition · doi:10.1093/cdn/nzac129 · Cited by 2
Alkhudaydi, H. M. S., & Spencer, J. P. E. (2024) · Nutrition and Healthy Aging · doi:10.3233/nha-230204 · Cited by 2
Hiroyuki, I. T. O., Shimonaka, A., Natsume, M., Yonekura, K., Fukasawa, T., Ito, S., Sawazaki, A., TAMURA, K., Kimura, I., & Koga, J. (2025) · Bioscience of Microbiota Food and Health · doi:10.12938/bmfh.2024-049 · Cited by 2
Cömert, T. K., & Merdol, T. K. (2018) · Journal of Nutrition and Dietetics · doi:10.33076/2018.bdd.288 · Cited by 2
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Habtemariam, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-08-102922-0.00025-0 · Cited by 2
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Cicero, A. F. G., & Colletti, A. (2021) · Springer eBooks · doi:10.1007/978-3-030-57469-7_7 · Cited by 1
Zhu, J., Xu, T., Cao, X., Pan, D., Yao, Z., Li, Y., Wang, H., & Han, Z. (2024) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000928 · Cited by 1
Santos, L. M. P., Mendonça, V. S., Rocha, G. S., Rocha, S. C. B. N., Neves, V. S., & Huguenin, G. V. B. (2025) · Nutrire · doi:10.1186/s41110-025-00372-0 · Cited by 1
Polyphenols for Cholesterol Management
van der Made, S. M., & Mensink, R. P. (2015) · Contemporary Endocrinology · doi:10.1007/978-1-60761-424-1_22 · Cited by 1
Cacao Polyphenols Influence the Regulation of Apolipoproteins
Osakabe, N. (2013) · Polyphenols in Human Health and Disease · doi:10.1016/b978-0-12-398456-2.00074-8 · Cited by 1
De, S., Das, D. C., & Mandal, T. (2017) · International Research Journal of Pharmacy · doi:10.7897/2230-8407.080223 · Cited by 1
Polyphenolic compounds in the loss of body fat
Abra, C. E., & de Assis, J. R. (2020) · Scientific Electronic Archives · doi:10.36560/13820201047 · Cited by 2
Functional nutrition option patients with non-alcoholic fatty liver disease
Baranovsky, A. Y., Kruglova, N. A., & Grigoreva, E. Y. (2024) · Экспериментальная и клиническая гастроэнтерология · doi:10.31146/1682-8658-ecg-218-10-189-196 · Cited by 1
Les polyphénols du thé et du cacao ont-ils des effets santé ?
Morand, C. (2013) · Phytothérapie · doi:10.1007/s10298-013-0770-1 · Cited by 1
Cocoa Flavonoids and Insulin Signaling
Martín, M. Á., Goya, L., & Ramos, S. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801585-8.00015-4 · Cited by 1
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Haskell‐Ramsay, C. F., & Watson, A. W. (2013) · doi:10.1002/9781118635551.ch16 · Cited by 1
Farhat, G. (2014) · Queen Margaret University Publications Repository (Queen Margaret University) · Cited by 1
Wightman, E. L. (2013) · Northumbria Research Link (Northumbria University)
Cocoa Consumption and Blood Pressure: A Systematic Review
Tcharkhoutian, T. (2015) · MOJ Public Health · doi:10.15406/mojph.2015.02.00023
Production of Hypoallergenic Cocoa Beans by a Pregermination Treatment Method
Handoyo, T., Akagawa, M., & Kim, K. (2015) · Journal of Plant Biotechnology · doi:10.5010/jpb.2015.42.2.123
Munir, K. M., Chandrasekaran, S., Gao, F., & Quon, M. J. (2013)
Smolders (2017) · doi:10.26481/dis.20170706ls
Nutraceuticals Supporting Heart Function in Heart Failure
Cicero, A. F. G., & Colletti, A. (2021) · Contemporary cardiology · doi:10.1007/978-3-030-62632-7_11
(2013) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e32835cb4f6
(2018) · Wiley eBooks · doi:10.1002/9781118829875.refs
Flavonoids and Their Relation to Human Health
Domínguez-Avila, J. A., Olivas-Aguirre, F. J., la Rosa, L. A. D., Wall‐Medrano, A., & González-Aguilar, G. A. (2017) · doi:10.1002/9781119158042.ch7
Arnesen, E., & Nylehn, P. (2013) · Norsk tidsskrift for ernæring · doi:10.18261/ntfe.11.2.3
Modern Chocolate Science and Human Health
(2012) · Royal Society of Chemistry eBooks · doi:10.1039/bk9781849734110-00127
Efecto de la ingesta de polifenoles en biomarcadores y riesgo cardiovascular
García, M. R. (2022) · Buleria (Universidad de León) · doi:10.18002/10612/15968
The effect of polyphenol-rich dark chocolate on serum lipids in healthy subjects
Küçükyilmaz, K., Okburan, G., & Gezer, C. (2024) · Revista de Nutrição · doi:10.1590/1678-9865202437e230073
Sonavane, O. A. P. A. K. B. (2026) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-31143
Cacao Polyphenols and Cardiovascular Health: Evidence from Clinical and Epidemiological Studies
Natsume, M. (2026) · Springer eBooks · doi:10.1007/978-981-95-7068-3_17
Metadata
- Authors
- Shrime, M. G., Bauer, S. R., McDonald, A. C., Chowdhury, N. H., Coltart, C. E. M., & Ding, E. L.
- Affiliations
- Harvard University (US)
- Brigham and Women's Hospital (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Shrime, Mark G.
- Ding, Eric L.
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 141
- Issue
- 11
- Pages
- 1982-1988
- ISSN
- 0022-3166 (ISSN-L)
- OpenAlex
- W2149628027
- Cited by
- 234
- References
- 41
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 11 · 2023: 8 · 2022: 13 · 2021: 11 · 2020: 12 · 2019: 17 · 2018: 23 · 2017: 27 · 2016: 23 · 2015: 17 · 2014: 22 · 2013: 27 · 2012: 14
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- 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
- cocoa consumption, cardiovascular risk factors, blood pressure, LDL cholesterol, HDL cholesterol, triglycerides, C-reactive protein, flow-mediated dilation, insulin resistance, HOMA-IR, dose-response relationship, polyphenols, cardioprotection, insulin sensitivity
- MeSH terms
- Cacao, Cardiovascular System, Dose-Response Relationship, Drug, Flavonoids, Humans, Risk Factors, Cross-Over Studies
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