Evidence map›Paper›PMID 33162252›Full record

ArticleDrug and alcohol dependence2021

Alcohol type and ideal cardiovascular health among adults of the Multi-Ethnic Study of Atherosclerosis.

Oluseye Ogunmoroti, Olatokunbo Osibogun, Robyn L McClelland, Mariana Lazo, Lena Mathews, Victor Okunrintemi, Ebenezer T Oni, Gregory L Burke, Erin D Michos

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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 6 institutions in 1 country.

Oluseye OgunmorotiCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address: seyeogunmoroti@gmail.com.
Olatokunbo OsibogunDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, United States.
Robyn L McClellandDepartment of Biostatistics, University of Washington, Seattle, WA, United States.
Mariana LazoDivision of General Internal Medicine, Johns Hopkins School of Medicine and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Lena MathewsCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Victor OkunrintemiDepartment of Internal Medicine, East Carolina University, Greenville, NC, United States.
Ebenezer T OniDivision of Cardiology, Albert Einstein Medical Center, Philadelphia, PA, United States.
Gregory L BurkeDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Erin D MichosCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Johns Hopkins University · USEast Carolina University · USEinstein Medical Center Philadelphia · USFlorida International University · USUniversity of Washington · USWake Forest University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095164 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1999 to 2001
$511k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095163 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1999 to 2001
$443k
NCATS NIH HHS UL1 TR003098NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR025005NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169
6 · The paper itself

Abstract

backgroundLight to moderate alcohol consumption is associated with favorable cardiovascular health (CVH). However, the association between alcohol type and ideal CVH has not been well-established. We examined the relationship between alcohol type and ideal CVH as measured by the American Heart Association's seven CVH metrics.

methodsWe analyzed data from 6,389 men and women aged 45-84 years from a multi-ethnic cohort free of cardiovascular disease. Alcohol type (wine, beer and liquor) was categorized as never, former, 0 but drink other alcohol types, >0 but <1 drink/day, 1-2 drinks/day and >2 drinks/day. A CVH score ranging from 0 to 14 points was created from the seven CVH metrics (Inadequate score, 0-8; average, 9-10; optimal, 11-14). We used multinomial logistic regression to examine the association between alcohol type and CVH, adjusting for age, sex, race/ethnicity, education, income, health insurance, field site and total calorie intake.

resultsThe mean (SD) age of participants was 62 (10) years and 53 % were women. Participants who consumed 1-2 drinks/day of wine had higher odds of optimal CVH scores compared to those who never drank wine [adjusted prevalence odds ratio (POR) 1.64 (1.12-2.40)]. In comparison to participants who never drank beer, those who consumed >2 drinks/day of beer had lower odds of optimal CVH scores [0.31 (0.14-0.69)]. Additionally, those who consumed >2 drinks/day of liquor had lower odds of optimal scores compared to those who never drank liquor [0.32 (0.16-0.65)].

conclusionModerate consumption of wine was associated with favorable CVH. However, heavy consumption of beer or liquor was associated with poorer CVH.

Indexed as

AdultAgedAged, 80 and overAlcohol DrinkingAtherosclerosisBeerCardiovascular DiseasesCross-Sectional StudiesEducational StatusEthanolEthnicityFemaleHumansLogistic ModelsMaleMiddle AgedEthanolAlcohol typeBeverage typeCardiovascular diseaseIdeal cardiovascular health metricsLife’s simple 7PreventionRisk factors

Identifiers

PMID33162252
PMCPMC7750284
OpenAlexW3092658086

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.