The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Coffee and its Consumption: Benefits and Risks
Abstract
Coffee is the leading worldwide beverage after water and its trade exceeds US $10 billion worldwide. Controversies regarding its benefits and risks still exist as reliable evidence is becoming available supporting its health promoting potential; however, some researchers have argued about the association of coffee consumption with cardiovascular complications and cancer insurgence. The health-promoting properties of coffee are often attributed to its rich phytochemistry, including caffeine, chlorogenic acid, caffeic acid, hydroxyhydroquinone (HHQ), etc. Many research investigations, epidemiological studies, and meta-analyses regarding coffee consumption revealed its inverse correlation with that of diabetes mellitus, various cancer lines, Parkinsonism, and Alzheimer's disease. Moreover, it ameliorates oxidative stress because of its ability to induce mRNA and protein expression, and mediates Nrf2-ARE pathway stimulation. Furthermore, caffeine and its metabolites help in proper cognitive functionality. Coffee lipid fraction containing cafestol and kahweol act as a safeguard against some malignant cells by modulating the detoxifying enzymes. On the other hand, their higher levels raise serum cholesterol, posing a possible threat to coronary health, for example, myocardial and cerebral infarction, insomnia, and cardiovascular complications. Caffeine also affects adenosine receptors and its withdrawal is accompanied with muscle fatigue and allied problems in those addicted to coffee. An array of evidence showed that pregnant women or those with postmenopausal problems should avoid excessive consumption of coffee because of its interference with oral contraceptives or postmenopausal hormones. This review article is an attempt to disseminate general information, health claims, and obviously the risk factors associated with coffee consumption to scientists, allied stakeholders, and certainly readers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lindsay, J. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf074 · Cited by 1,261
Effects of caffeine on human health
Nawrot, P., Jordan, S., Eastwood, J., Rotstein, J., Hugenholtz, A., & Feeley, M. (2003) · Food Additives and Contaminants · doi:10.1080/0265203021000007840 · Cited by 1,199
Food sources and intakes of caffeine in the diets of persons in the United States
Frary, C. D., Johnson, R. K., & Wang, M. Q. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.10.027 · Cited by 681
Johnston, K. L., Clifford, M. N., & Morgan, L. M. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.4.728 · Cited by 590 · cited 1×
“7 Trigonelline • Improves glucose metabolism 8 Lignan secoisolariciresinol • Improves glucose metabolism ∗Sources: (van Dijk et al., 2009; Zhang et al., 2009; Shearer et al., 2007; Rodriguez de Sotillo et al., 2002; van Dam et al., 2002; Johnston et al., 2003; Yoshioka et al., 2003)”
BackgroundCoffee, CYP1A2 genotype, and risk of myocardial infarction
Cornelis, M. C., El-Sohemy, A., Kabagambe, E. K., & Campos, H. (2006) · JAMA · doi:10.1001/jama.295.10.1135 · Cited by 490 · cited 1×
“Some genetic factors also influence the speed and fate of caffeine as effects are more pronounced in subjects showing slow caffeine metabolism (Cornelis et al., 2006).”
BackgroundNoordzij, M., Uiterwaal, C. S., Arends, L. R., Kok, F. J., Grobbee, D. E., & Geleijnse, J. M. (2005) · Journal of Hypertension · doi:10.1097/01.hjh.0000166828.94699.1d · Cited by 376
Diet, nutrition and the prevention of type 2 diabetes
Steyn, N., Mann, J., Bennett, P., Temple, N., Zimmet, P., Tuomilehto, J., Lindström, J., & Louheranta, A. (2004) · Public Health Nutrition · doi:10.1079/phn2003586 · Cited by 367
Caffeine Can Decrease Insulin Sensitivity in Humans
Keijzers, G. B., De Galan, B. E., Tack, C. J., & Smits, P. (2002) · Diabetes Care · doi:10.2337/diacare.25.2.364 · Cited by 358
van Dijk, A. E., Olthof, M. R., Meeuse, J. C., Seebus, E., Heine, R. J., & van Dam, R. M. (2009) · Diabetes Care · doi:10.2337/dc09-0207 · Cited by 293
Search for natural products related to regeneration of the neuronal network
Tohda, C., Kuboyama, T., & Komatsu, K. (2005) · Neurosignals · doi:10.1159/000085384 · Cited by 257
Cited by
Functional Properties of Coffee and Coffee By-Products
Esquivel, P., & Jiménez, V. M. (2012) · Food Research International · doi:10.1016/j.foodres.2011.05.028 · Cited by 847
Beverage caffeine intakes in the U.S.
Mitchell, D. C., Knight, C. A., Hockenberry, J., Teplansky, R., & Hartman, T. J. (2014) · Food and Chemical Toxicology · doi:10.1016/j.fct.2013.10.042 · Cited by 565
Coffee: Biochemistry and Potential Impact on Health
Ludwig, I. A., Clifford, M. N., Lean, M. E. J., Ashihara, H., & Crozier, A. (2014) · Food Funct. · doi:10.1039/c4fo00042k · Cited by 537
Clark, I., & Landolt, H. P. (2017) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.01.006 · Cited by 499
Variations in Caffeine and Chlorogenic Acid Contents of Coffees: What Are We Drinking?
Ludwig, I. A., Mena, P., Calani, L., Cid, C., Del Rio, D., Lean, M. E. J., & Crozier, A. (2014) · Food Funct. · doi:10.1039/c4fo00290c · Cited by 226
Coffee components and cardiovascular risk: beneficial and detrimental effects
Godos, J., Pluchinotta, F. R., Marventano, S., Buscemi, S., Li Volti, G., Galvano, F., & Grosso, G. (2014) · International Journal of Food Sciences and Nutrition · doi:10.3109/09637486.2014.940287 · Cited by 210
Nordestgaard, A. T., Thomsen, M., & Nordestgaard, B. G. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv083 · Cited by 189
Chen, Y.-P., Lu, F.-B., Hu, Y.-B., Xu, L.-M., Zheng, M.-H., & Hu, E.-D. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.11.030 · Cited by 106
Nakayama, T., & Oishi, K. (2013) · FEMS Microbiology Letters · doi:10.1111/1574-6968.12142 · Cited by 97
Coffee Consumption and the Risk of Colorectal Cancer
Schmit, S. L., Rennert, H. S., Rennert, G., & Gruber, S. B. (2016) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-15-0924 · Cited by 94
Ronga, D., Pane, C., Zaccardelli, M., & Pecchioni, N. (2016) · Communications in Soil Science and Plant Analysis · doi:10.1080/00103624.2015.1122803 · Cited by 87
Stress and cognition: A user’s guide to designing and interpreting studies
Shields, G. S. (2020) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104475 · Cited by 80
Assessing caffeine intake in the United Kingdom diet
Fitt, E., Pell, D., & Cole, D. (2013) · Food Chemistry · doi:10.1016/j.foodchem.2012.07.092 · Cited by 74
Coffee with High but Not Low Caffeine Content Augments Fluid and Electrolyte Excretion at Rest
Seal, A. D., Bardis, C. N., Gavrieli, A., Grigorakis, P., Adams, J. D., Arnaoutis, G., Yannakoulia, M., & Kavouras, S. A. (2017) · Frontiers in Nutrition · doi:10.3389/fnut.2017.00040 · Cited by 55
Performance of plasma trigonelline as a marker of coffee consumption in an epidemiologic setting
Midttun, Ø., Ulvik, A., Nygård, O., & Ueland, P. M. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy059 · Cited by 50
Coffee Consumption Is Associated with DNA Methylation Levels of Human Blood
Chuang, Y.-H., Quach, A., Absher, D., Assimes, T., Horvath, S., & Ritz, B. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2016.175 · Cited by 40
Chang, H.-C., Hsieh, C.-F., Lin, Y.-C., Tantoh, D. M., Ko, P.-C., Kung, Y.-Y., Wang, M.-C., Hsu, S.-Y., Liaw, Y.-C., & Liaw, Y.-P. (2018) · BMC Public Health · doi:10.1186/s12889-018-6168-0 · Cited by 39
Park, G. H., Song, H. M., & Jeong, J. B. (2016) · Food and Chemical Toxicology · doi:10.1016/j.fct.2016.07.008 · Cited by 35
Lardeau, A., & Poquet, L. (2013) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2012.12.016 · Cited by 27
Lee, J., Lee, J.-E., & Kim, Y. (2017) · Nutrition Journal · doi:10.1186/s12937-017-0232-y · Cited by 27
Soares, P. V., Kannen, V., Jordão Junior, A. A., & Garcia, S. B. (2019) · Nutrition and Cancer · doi:10.1080/01635581.2018.1506489 · Cited by 19
Metadata
- Authors
- Butt, M. S., & Sultan, M. T.
- Venue
- Critical Reviews in Food Science and Nutrition
- Publisher
- Informa UK Limited
- Published
- 2011-03-25
- Volume
- 51
- Issue
- 4
- Pages
- 363-373
- ISSN
- 1040-8398 (ISSN-L)
- 1549-7852
- OpenAlex
- W2149502014
- Cited by
- 612
- References
- 21
- FWCI
- 24.41
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
