ArticleThe American journal of clinical nutrition2012
Caffeinated and decaffeinated coffee and tea intakes and risk of colorectal cancer in a large prospective study.
Article in The American journal of clinical nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00340015 (NCI-AARP Diet and Health Study), which is not on this map. Cited by 50 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
NCI-AARP Diet and Health Study
Who cites it
50 citing papers in PubMed, 8 syntheses or guidelines pooled it, 106 citations in OpenAlex.
- Does drinking coffee reduce the risk of colorectal cancer? A qualitative umbrella review of systematic reviews.Techniques in coloproctology · 2023Pooled it
- Association between tea consumption and colorectal cancer: a systematic review and meta-analysis of a population-based study.BMC gastroenterology · 2023Pooled it
- Coffee Consumption and Cancer Risk: An Assessment of the Health Implications Based on Recent Knowledge.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021Pooled it
- Tea consumption and colorectal cancer risk: a meta-analysis of prospective cohort studies.European journal of nutrition · 2020Pooled it
- Coffee Consumption and Risk of Colorectal Cancer: A Systematic Review and Meta-Analysis of Prospective Studies.Nutrients · 2019Pooled it
- Pooled it
- Association of coffee consumption with risk of colorectal cancer: a meta-analysis of prospective cohort studies.Oncotarget · 2017Pooled it
- Tea consumption and the risk of five major cancers: a dose-response meta-analysis of prospective studies.BMC cancer · 2014Pooled it
- Association of Coffee Consumption With Overall and Cause-Specific Mortality in a Large US Prospective Cohort Study.American journal of epidemiology · 2015Trial
- Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015Trial
- Caffeic acid suppresses cyclin D1 expression by directly binding to ribosomal protein S5 in colorectal cancer cells.Scientific reports · 2026Article
- Caffeine attenuates cisplatin induced microglial reactivity and cognitive dysfunction.Frontiers in molecular neuroscience · 2026Article
- Decaffeinated coffee consumption and risk of total and site-specific cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2025Article
- Article
- Exploring the causal role of multiple metabolites on ovarian cancer: a two sample Mendelian randomization study.Journal of ovarian research · 2024Article
- The relationship between caffeine consumption and colon cancer prevalence in a nationally representative population.Frontiers in nutrition · 2024Article
- Does caffeine have a double-edged sword role in inflammation and carcinogenesis in the colon?Intestinal research · 2023Review
- Association between Diet-related Behaviour and Risk of Colorectal Cancer: A Scoping Review.Journal of cancer prevention · 2022Article
- Antioxidant and Anti-Inflammatory Activity of Coffee Brew Evaluated after Simulated Gastrointestinal Digestion.Nutrients · 2021Article
- Predictors of CRC Stage at Diagnosis among Male and Female Adults Participating in a Prospective Cohort Study: Findings from Alberta's Tomorrow Project.Current oncology (Toronto, Ont.) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundCoffee and tea are widely consumed globally and are rich sources of potential chemopreventive compounds. Epidemiologic data for coffee and tea intakes in relation to colorectal cancer remain unclear. Despite differences in gut physiology, few studies have conducted investigations by anatomic subsites.
objectiveWe evaluated coffee and tea intakes (caffeinated and decaffeinated) in relation to colon (proximal and distal) and rectal cancers.
designThe NIH-AARP Diet and Health Study included 489,706 men and women who completed a baseline (1995-1996) self-administered questionnaire of demographics, diet, and lifestyle. Over a median of 10.5 y of follow-up, we identified 2863 proximal colon, 1993 distal colon, and 1874 rectal cancers. Multivariable HRs and 95% CIs were estimated by using Cox regression.
resultsApproximately 16% of participants drank ≥4 cups coffee/d. Compared with nondrinkers, drinkers of 4-5 cups coffee/d (HR: 0.85; 95% CI: 0.75, 0.96) and ≥6 cups coffee/d (HR: 0.74; 95% CI: 0.61, 0.89; P-trend < 0.001) had a lower risk of colon cancer, particularly of proximal tumors (HR for ≥6 cups/d: 0.62; 95% CI: 0.49, 0.81; P-trend < 0.0001). Results were similar to those overall for drinkers of predominantly caffeinated coffee. Although individual HRs were not significant, there was a significant P-trend for both colon and rectal cancers for people who drank predominantly decaffeinated coffee. No associations were observed for tea.
conclusionsIn this large US cohort, coffee was inversely associated with colon cancer, particularly proximal tumors. Additional investigations of coffee intake and its components in the prevention of colorectal cancer by subsites are warranted. The NIH-AARP Diet and Health Study was registered at clinicaltrials.gov as NCT00340015.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.