Evidence map›Paper›PMID 29195109›Full record

ArticleAtherosclerosis2018

Association of alcohol consumption and aortic calcification in healthy men aged 40-49 years for the ERA JUMP Study.

Hemant Mahajan, Jina Choo, Kamal Masaki, Akira Fujiyoshi, Jingchuan Guo, Takashi Hisamatsu, Rhobert Evans, Siyi Shangguan, Bradley Willcox, Tomonori Okamura and 8 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 16 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

18 authors at 8 institutions in 3 countries.

Hemant MahajanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA. Electronic address: hdm12@pitt.edu.
Jina ChooDepartment of Nursing, College of Nursing, Korea University, Seoul, South Korea.
Kamal MasakiDepartment of Research, Kuakini Medical Center, and Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, USA.
Akira FujiyoshiDepartment of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, Japan.
Jingchuan GuoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Takashi HisamatsuDepartment of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University, Izumo, Japan.
Rhobert EvansDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Siyi ShangguanDepartment of Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Bradley WillcoxDepartment of Research, Kuakini Medical Center, and Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, USA.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
Abhishek VishnuDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Emma Barinas-MitchellDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Vasudha AhujaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, Japan.
Lewis KullerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
Chol ShinSleep and Critical Care Medicine, Department of Internal Medicine, Korea, University Ansan Hospital, Ansan, South Korea.
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, Japan.
Akira SekikawaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, USA.
University of Pittsburgh · USShiga University of Medical Science · JPUniversity of Hawaiʻi at Mānoa · USAnsan University · KRKeio University · JPKorea University · KRShimane University · JPUniversity of Pittsburgh Medical Center · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Foreign CohortR01HL068200 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEKIKAWA, AKIRA · 2003 to 2012
$5.6M
Epidemiology of CHD of Men Aged 40+ in US, Hawaii, JapanR01HL071561 · NHLBI · PACIFIC HEALTH RESEARCH INSTITUTE · PI CURB, JESS DAVID · 2003 to 2006
$1.7M
NCATS NIH HHS UL1 TR000005NCRR NIH HHS UL1 RR024153NHLBI NIH HHS R01 HL068200NHLBI NIH HHS R01 HL071561
6 · The paper itself

Abstract

BACKGROUND AND

aimsSeveral studies have reported a significant inverse association of light to moderate alcohol consumption with coronary heart disease (CHD). However, studies assessing the relationship between alcohol consumption and atherosclerosis have reported inconsistent results. The current study was conducted to determine the relationship between alcohol consumption and aortic calcification.

methodsWe addressed the research question using data from the population-based ERA-JUMP Study, comprising of 1006 healthy men aged 40-49 years, without clinical cardiovascular diseases, from four race/ethnicities: 301 Whites, 103 African American, 292 Japanese American, and 310 Japanese in Japan. Aortic calcification was assessed by electron-beam computed tomography and quantified using the Agatston method. Alcohol consumption was categorized into four groups: 0 (non-drinkers), ≤1 (light drinkers), >1 to ≤3 (moderate drinkers) and >3 drinks per day (heavy drinkers) (1 drink = 12.5 g of ethanol). Tobit conditional regression and ordinal logistic regression were used to investigate the association of alcohol consumption with aortic calcification after adjusting for cardiovascular risk factors and potential confounders.

resultsThe study participants consisted of 25.6% nondrinkers, 35.3% light drinkers, 23.5% moderate drinkers, and 15.6% heavy drinkers. Heavy drinkers [Tobit ratio (95% CI) = 2.34 (1.10, 4.97); odds ratio (95% CI) = 1.67 (1.11, 2.52)] had significantly higher expected aortic calcification score compared to nondrinkers, after adjusting for socio-demographic and confounding variables. There was no significant interaction between alcohol consumption and race/ethnicity on aortic calcification.

conclusionsOur findings suggest that heavy alcohol consumption may be an independent risk factor for atherosclerosis.

Indexed as

AsianBlack or African AmericanWhite PeopleAdultAlcohol DrinkingAortic DiseasesAortographyComputed Tomography AngiographyCross-Sectional StudiesHawaiiHealthy VolunteersHumansJapanMaleMiddle AgedPennsylvaniaAlcoholAortaAtherosclerosisCalcificationMen

Identifiers

PMID29195109
PMCPMC5869702
OpenAlexW2769467997

What OpenQuestion holds

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LicenceTDM
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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.