Evidence map›Paper›PMID 40400054›Full record

ArticleAddiction (Abingdon, England)2025

Long-term alcohol consumption and incident health risk conditions related to cardiometabolic risk markers: A 20-year prospective cohort study.

Sooyeun Choi, Taeyoung Park, Youjin Je

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Sooyeun ChoiDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-4245-8437
Taeyoung ParkDepartment of Applied Statistics, Yonsei University, Seoul, South Korea.
Youjin JeDepartment of Food and Nutrition, Kyung Hee University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-2099-4204

Funding

Institute for Information and Communications Technology Planning and Evaluation RS-2023-00259934National Research Foundation of Korea 2020R1A2C1A01005949National Research Foundation of Korea RS-2023-00217705National Research Foundation of Korea RS-2025-00562173Son Jiho Research Grant of Yonsei University 2023-22-0006
6 · The paper itself

Abstract

BACKGROUND AND

aimsAmid questions about a perceived association between low-to-moderate alcohol consumption and reduced cardiovascular risk from recent studies, research examining the impact of alcohol consumption on cardiometabolic risk markers has reported inconsistent results. We measured the association between long-term alcohol consumption and incident health risk conditions related to cardiometabolic risk markers. DESIGN, SETTING AND

participantsA prospective cohort analysis was conducted using data from a population-based cohort (2001-2020) of 4708 Koreans aged 40-69 years who were free of chronic diseases, including metabolic syndrome, at baseline. MEASUREMENTS: Alcohol consumption and incident cases related to cardiometabolic risk markers were assessed biennially using interviewer-administered questionnaires or health examinations. The average alcohol intake was calculated to reflect long-term consumption. Alcohol consumption was categorized as none or rarely (0-2 g/day), light (2 < -16 g/day, within guideline limits), medium (16 < -32 g/day) and heavy (>32 g/day).

findingsAfter full adjustment for covariates, light, medium or heavy alcohol consumption was positively associated with metabolic syndrome [hazard ratio (HR) = 1.55, 95% confidence interval (CI) = 1.32-1.83], abdominal obesity (HR = 1.41, 95% CI = 1.17-1.70), hyperglycemia (HR = 1.91, 95% CI = 1.62-2.26), high blood pressure (HR = 2.04, 95% CI = 1.72-2.41) and hypertriglyceridemia (HR = 1.59, 95% CI = 1.30-1.93), with the results presented for heavy alcohol consumption only (p-values for trend <0.001 for all cases). By sex, positive associations between light alcohol intake and hyperglycemia and high blood pressure were observed only in women (p-values for interaction and p-values for trend <0.05 for all cases).

conclusionsLong-term light (within guideline limits), medium or heavy alcohol consumption appears to be positively and linearly associated with incident health risk conditions related to cardiometabolic risk markers. The threshold dose of alcohol for developing hyperglycemia and high blood pressure appears to be lower in women.

Indexed as

Alcohol DrinkingCardiometabolic Risk FactorsCardiovascular DiseasesMetabolic SyndromeAdultAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRepublic of KoreaRisk FactorsBiomarkersabdominal obesityalcoholhigh blood pressurehigh C‐reactive proteinhigh LDL‐cholesterolhyperglycemiahypertriglyceridemialow HDL‐cholesterolmetabolic syndrome

Identifiers

PMID40400054
PMCPMC12319665

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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.