Evidence map›Paper›PMID 31237129›Full record

ArticleDiabetes & metabolism journal2019

Association between Change in Alcohol Consumption and Metabolic Syndrome: Analysis from the Health Examinees Study.

Seulggie Choi, Kyuwoong Kim, Jong Koo Lee, Ji Yeob Choi, Aesun Shin, Sue Kyung Park, Daehee Kang, Sang Min Park

Abstract read
In one paragraph

Article in Diabetes & metabolism journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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  17. Lifestyle Factors Associated with Metabolic Syndrome in Urban Cambodia.International journal of environmental research and public health · 2022
    Article
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  19. Observational
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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

8 authors.

Seulggie ChoiDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.ORCID https://orcid.org/0000-0002-0581-165X
Kyuwoong KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
Jong Koo LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Ji Yeob ChoiDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Aesun ShinDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sue Kyung ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
Daehee KangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.ORCID https://orcid.org/0000-0002-7498-4829

Funding

Korea Centers for Disease Control & Prevention 2004-E71004-00Korea Centers for Disease Control & Prevention 2005-E71009-00Korea Centers for Disease Control & Prevention 2005-E71011-00Korea Centers for Disease Control & Prevention 2006-E71001-00Korea Centers for Disease Control & Prevention 2006-E71003-00Korea Centers for Disease Control & Prevention 2006-E71004-00Korea Centers for Disease Control & Prevention 2006-E71010-00Korea Centers for Disease Control & Prevention 2007-E71004-00Korea Centers for Disease Control & Prevention 2007-E71006-00Korea Centers for Disease Control & Prevention 2008-E71006-00Korea Centers for Disease Control & Prevention 2008-E71008-00Korea Centers for Disease Control & Prevention 2009-E71009-00Korea Centers for Disease Control & Prevention 2010-E71006-00Korea Centers for Disease Control & Prevention 2011-E71006-00Korea Centers for Disease Control & Prevention 2012-E71001-00Korea Centers for Disease Control & Prevention 2013-E71009-00
6 · The paper itself

Abstract

backgroundThe association between change in alcohol intake and metabolic syndrome is unclear.

methodsThis retrospective cohort consisted of 41,368 males and females from the Health Examinees-GEM study. Participants were divided into non-drinkers (0.0 g/day), light drinkers (male: 0.1 to 19.9 g/day; female: 0.1 to 9.9 g/day), moderate drinkers (male: 20.0 to 39.9 g/day; female: 10.0 to 19.9 g/day), and heavy drinkers (male: ≥40.0 g/day; female: ≥20.0 g/day) for each of the initial and follow-up health examinations. Logistic regression analysis was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for developing metabolic syndrome according to the change in alcohol consumption between the initial and follow-up health examinations. Adjusted mean values for the change in waist circumference, fasting serum glucose (FSG), blood pressure, triglycerides, and high density lipoprotein cholesterol (HDL-C) levels were determined according to the change in alcohol consumption by linear regression analysis.

resultsCompared to persistent light drinkers, those who increased alcohol intake to heavy levels had elevated risk of metabolic syndrome (aOR, 1.45; 95% CI, 1.09 to 1.92). In contrast, heavy drinkers who became light drinkers had reduced risk of metabolic syndrome (aOR, 0.61; 95% CI, 0.44 to 0.84) compared to persistent heavy drinkers. Increased alcohol consumption was associated with elevated adjusted mean values for waist circumference, FSG, blood pressure, triglycerides, and HDL-C levels (all

conclusionHeavy drinkers who reduce alcohol consumption could benefit from reduced risk of metabolic syndrome.

Indexed as

Alcohol drinkingDyslipidemiasHypertensionMetabolic syndromeObesity

Identifiers

PMID31237129
PMCPMC6834843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.