Evidence map›Paper›PMID 36949243›Full record

ArticleScientific reports2023

Coffee consumption and associations with blood pressure, LDL-cholesterol and echocardiographic measures in the general population.

Juliana Senftinger, Julius Nikorowitsch, Katrin Borof, Francisco Ojeda, Ghazal Aarabi, Thomas Beikler, Carola Mayer, Christian-Alexander Behrendt, Carolin Walther, Birgit-Christiane Zyriax and 3 more

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 20 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

13 authors at 3 institutions in 1 country.

Juliana Senftinger *Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Julius Nikorowitsch *Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Katrin BorofDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Francisco OjedaDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ghazal AarabiDepartment of Periodontics, Preventive and Restorative Dentistry, Hamburg, Germany.
Thomas BeiklerDepartment of Periodontics, Preventive and Restorative Dentistry, Hamburg, Germany.
Carola MayerDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christian-Alexander BehrendtDepartment of Vascular Medicine, German Aortic Center Hamburg, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Carolin WaltherDepartment of Periodontics, Preventive and Restorative Dentistry, Hamburg, Germany.
Birgit-Christiane ZyriaxMidwifery Science - Health Care Research and Prevention, Institute for Health Services in Dermatology and Nursing (IVDP), Hamburg, Germany.
Raphael TwerenboldDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Stefan BlankenbergDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jan-Per WenzelDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. ja.wenzel@uke.de.
Universität Hamburg · DEUniversity Medical Center Hamburg-Eppendorf · DEInstitute for Therapy and Health Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee, next to water the most widespread beverage, is attributed both harmful and protective characteristics concerning cardiovascular health. This study aimed to evaluate associations of coffee consumption with cardiac biomarkers, echocardiographic, electrocardiographic parameters and major cardiovascular diseases. We performed a cross-sectional analysis of 9009 participants of the population-based Hamburg City Health Study (HCHS), enrolled between 2016 and 2018 median age 63 [IQR: 55; 69] years. Coffee consumption was classified into three groups: < 3 cups/day (low), 3-4 cups/day (moderate), > 4 cups/day (high). In linear regression analyses adjusted for age, sex, body mass index, diabetes, hypertension, smoking, and additives, high coffee consumption correlated with higher LDL-cholesterol (β = 5.92; 95% CI 2.95, 8.89; p < 0.001). Moderate and high coffee consumption correlated with lower systolic (β = - 1.91; 95% CI - 3.04, - 0.78; p = 0.001; high: β = - 3.06; 95% CI - 4.69, - 1.44; p < 0.001) and diastolic blood pressure (β = - 1.05; 95% CI - 1.67, - 0.43; p = 0.001; high: β = - 1.85; 95% CI - 2.74, - 0.96; p < 0.001). Different levels of coffee consumption did neither correlate with any investigated electrocardiographic or echocardiographic parameter nor with prevalent major cardiovascular diseases, including prior myocardial infarction and heart failure. In this cross-sectional analysis, high coffee consumption correlated with raised LDL-cholesterol levels and lower systolic and diastolic blood pressure. However, major cardiovascular diseases including heart failure and its diagnostic precursors were not associated with coffee consumption, connoting a neutral role of coffee in the context of cardiovascular health.

Indexed as

Heart FailureMyocardial InfarctionBlood PressureCholesterol, LDLCoffeeCross-Sectional StudiesEchocardiographyHumansMiddle AgedRisk FactorsCholesterol, LDLCoffee

Identifiers

PMID36949243
PMCPMC10033706
OpenAlexW4353090018

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read42
identifiers read1
Read underepoch 390

Registered trials

None linked

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.