ArticleClinical hypertension2023
Coffee intake and hypertension in Korean adults: results from KNHANES 2012-2016.
Article in Clinical hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Safety classification of herbal medicine use among hypertensive patients: a systematic review and meta-analysis.Frontiers in pharmacology · 2024Pooled it
- Associations Between Caffeinated Beverage Consumption and Blood Pressure Parameters in Nurses Based on 24-Hour Ambulatory Blood Pressure Monitoring: A Cross-Sectional Study.Health science reports · 2026Article
- Associations of Dietary Intake With Cardiovascular Diseases, Blood Pressure, and Lipid Profile in the Korean Population: An Updated Systematic Review and Meta-Analysis.Journal of lipid and atherosclerosis · 2026Article
- Threshold effects between caffeine intake and urine flow rate: a population-based cross-sectional study.International urology and nephrology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoffee is the most popular and widely consumed drink in the world. Coffee consumption seems to have both benefits and risk with respect to hypertension; results from studies evaluating effect of frequency of coffee consumption on risk of hypertension are mixed and inconsistent. Hence, we investigated the association of coffee consumption and hypertension in Korean adults.
methodsData from Korean National Health and Nutrition Examination Survey (KNHANES) 2012-2016 was obtained and 12,133 eligible participants were selected. The coffee consumption was attained using a food frequency questionnaire. Subsequently coffee intake was grouped into two categories: ≤2 and > 2 servings per day. Hypertension status was defined as systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg, use of antihypertensive drug treatment, or both. Multivariable logistic regression analysis was used to examine the association of coffee consumption and hypertension.
resultsLogistic regression analysis showed that consumption of more than two servings of coffee a day was inversely associated with hypertension with odds ratio (OR) 0.84 (95% confidence interval [CI], 0.73-0.99). Similar results were seen in the propensity score-matched analysis (OR, 0.83; 95% CI, 0.69-0.98). Adults having age more than median value (OR, 0.76; 95% CI, 0.65-0.89) and normal cholesterol (OR, 0.84; 95% CI, 0.70-0.99) had significantly inverse association with hypertension, when coffee consumption was more than two servings daily.
conclusionsMore than two servings of coffee intake per day was inversely associated with hypertension as compared to consumption of ≤ 2 servings coffee per day.
Indexed as
Identifiers
What OpenQuestion holds
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.