Evidence map›Paper›PMID 31019247›Full record

ArticleEuropean journal of clinical nutrition2020

Caffeine and caffeine metabolites in relation to hypertension in U.S. adults.

Gerard Ngueta

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Article in European journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Gerard NguetaFaculté de Pharmacie, Université Laval, Québec, QC, Canada. Ngueta@hotmail.com.
Université Laval · CA

Funding

Canadian Institute of Health Research 146885
6 · The paper itself

Abstract

BACKGROUND/

objectivesMost studies assessing the association between coffee consumption and hypertension ascertained caffeine intake in terms of number of cups per days, and yield mixed results. Although the inter-individuals variability in the caffeine metabolism is known, the relation of caffeine metabolites with hypertension remains unsettled. We examined the association of caffeine and 13 direct and indirect caffeine metabolites with hypertension in U.S. adults.

methodsUsing data from 2009-2010 National Health and Nutrition Examination Survey, we included 2278 individuals aged 18 to 80 years. Urinary methyluric acids (MU) and methylxanthines (MX) products of caffeine metabolism were measured using high performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry. We used multivariate logistic regression to model hypertension (systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg) as functions of urinary coffee metabolites.

resultsThe odds of hypertension decreased across quartiles of 3-MU, 7-MU, 3-MX and 7-MX, with 7-MU being the more powerful metabolite. Compared with adults in the bottom quartile of 7-MU, the odds of hypertension decreased by 81% (95% CI: -90 to -22%) in those in the upper quartile. In contrast, the odds ratio for being hypertensive from the bottom to the upper quartile were 4.47 (95% CI: 1.21-16.50) for 1,3-dimethyluric acid, 4.45 (95% CI: 1.48-13.39) for 1,3-dimethylxanthine, and 5.08 (95% CI: 1.11-23.36) for 1,7-dimethylxanthine. Neither insulin resistance nor abdominal obesity were moderators in these associations.

conclusionsFinal metabolites of caffeine (namely 3-MU, 7-MU, 3-MX and 7-MX), but not caffeine, significantly reduce the odds for hypertension in this population.

Indexed as

CaffeineHypertensionAdultBlood PressureCoffeeHumansNutrition SurveysCaffeineCoffee

Identifiers

PMID31019247
OpenAlexW2940721202

What OpenQuestion holds

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Registered trials

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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.