Evidence map›Paper›PMID 26657046›Full record

Observational studyThe American journal of clinical nutrition2016

Coffee and caffeine consumption and the risk of hypertension in postmenopausal women.

Jinnie J Rhee, FeiFei Qin, Haley K Hedlin, Tara I Chang, Chloe E Bird, Oleg Zaslavsky, JoAnn E Manson, Marcia L Stefanick, Wolfgang C Winkelmayer

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The American journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
6.8field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  13. Coffee and Arterial Hypertension.Current hypertension reports · 2021
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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

9 authors at 7 institutions in 4 countries.

Jinnie J RheeDivisions of Nephrology and rheej@stanford.edu.
FeiFei QinBiomedical Informatics Research, Department of Medicine and.
Haley K HedlinBiomedical Informatics Research, Department of Medicine and.
Tara I ChangDivisions of Nephrology and.
Chloe E BirdRAND Corporation, Santa Monica, CA;
Oleg ZaslavskyFaculty of Health Sciences and Social Welfare, University of Haifa, Haifa, Israel;
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and.
Marcia L StefanickStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA;
Wolfgang C WinkelmayerSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX.
Stanford University · USTranslational Research Informatics Center (Japan) · JPBaylor College of Medicine · USBrigham and Women's Hospital · USRAND Corporation · USStanford Medicine · USUniversity of Haifa · IL

Funding

TRAINING PROGRAM IN ACADEMIC NEPHROLOGYT32DK007357 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 1986 to 2022
$4.8M
Racial and ethnic differences in diabetes treatment and outcomes in US hemodialysF32DK103473 · NIDDK · STANFORD UNIVERSITY · PI RHEE, JINNIE J. · 2014 to 2015
$106k
NHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIDDK NIH HHS F32 DK103473NIDDK NIH HHS T32 DK007357WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundThe associations of coffee and caffeine intakes with the risk of incident hypertension remain controversial.

objectiveWe sought to assess longitudinal relations of caffeinated coffee, decaffeinated coffee, and total caffeine intakes with mean blood pressure and incident hypertension in postmenopausal women in the Women's Health Initiative Observational Study.

designIn a large prospective study, type and amount of coffee and total caffeine intakes were assessed by using self-reported questionnaires. Hypertension status was ascertained by using measured blood pressure and self-reported drug-treated hypertension. The mean intakes of caffeinated coffee, decaffeinated coffee, and caffeine were 2-3 cups/d, 1 cup/d, and 196 mg/d, respectively. Using multivariable linear regression, we examined the associations of baseline intakes of caffeinated coffee, decaffeinated coffee, and caffeine with measured systolic and diastolic blood pressures at annual visit 3 in 29,985 postmenopausal women who were not hypertensive at baseline. We used Cox proportional hazards models to estimate HRs and their 95% CIs for time to incident hypertension.

resultsDuring 112,935 person-years of follow-up, 5566 cases of incident hypertension were reported. Neither caffeinated coffee nor caffeine intake was associated with mean systolic or diastolic blood pressure, but decaffeinated coffee intake was associated with a small but clinically irrelevant decrease in mean diastolic blood pressure. Decaffeinated coffee intake was not associated with mean systolic blood pressure. Intakes of caffeinated coffee, decaffeinated coffee, and caffeine were not associated with the risk of incident hypertension (P-trend > 0.05 for all).

conclusionIn summary, these findings suggest that caffeinated coffee, decaffeinated coffee, and caffeine are not risk factors for hypertension in postmenopausal women.

Indexed as

CoffeeFeeding BehaviorAgedBlood PressureCaffeineCentral Nervous System StimulantsDrinkingFemaleHumansHypertensionIncidenceLongitudinal StudiesMiddle AgedPostmenopauseProportional Hazards ModelsProspective StudiesCaffeineCentral Nervous System StimulantsCoffeeblood pressurecaffeinated coffeecaffeinedecaffeinated coffeehypertension

Identifiers

PMID26657046
PMCPMC4691674
OpenAlexW2194187625

What OpenQuestion holds

Textmetadata
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.