Evidence map›Paper›PMID 39965054›Full record

ArticleDiabetes care2025

Alcohol Intake, Drinking Pattern, and Risk of Type 2 Diabetes in Three Prospective Cohorts of U.S. Women and Men.

Xinyi Li, Jinhee Hur, Stephanie A Smith-Warner, Mingyang Song, Liming Liang, Kenneth J Mukamal, Eric B Rimm, Edward L Giovannucci

Abstract read
In one paragraph

Article in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xinyi LiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-0221-0525
Jinhee HurDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-0968-208X
Stephanie A Smith-WarnerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Mingyang SongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-1324-0316
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0001-8261-3174
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Eric B RimmDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-6123-0219

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Marine Omega-3 Polyunsaturated Fatty Acid, Gut Microbiome, and Colorectal Cancer PreventionR00CA215314 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI SONG, MINGYANG · 2018 to 2020
$679k
American Cancer Society CRP-23-1014041American Cancer Society MRSG-17-220-01-NECNational Research Foundation of Korea RS-2024-00349274NCI NIH HHS R00 CA215314NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA067262NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NIH HHS R00 CA215314NIH HHS R01 CA49449NIH HHS R01 CA67262NIH HHS U01 CA167552NIH HHS U01 CA176726NIH HHS UM1 CA186107Ottogi Ham Taiho Foundation
6 · The paper itself

Abstract

objectiveAlthough the adverse effects of excessive alcohol consumption are well established, the association between light to moderate alcohol consumption (≤30 g ethanol per day) and risk of type 2 diabetes (T2D) remains controversial and holds substantial public health implications. We aimed to examine the association of total alcohol intake and drinking pattern with T2D among three cohorts, Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), and Health Professionals Follow-up Study (HPFS). RESEARCH DESIGN AND

methodsFormer regular drinkers were excluded from baseline nondrinkers. Hazard ratios (HRs) and 95% CIs were estimated by Cox models.

resultsOver 3 decades of follow-up, 20,551 T2D cases were documented among 200,969 participants. In total alcohol intake analyses, alcohol consumption was associated with a lower risk of T2D, with either nondrinkers or 0.1-4.9 g/day as the reference. The association was robust to extended latency periods and alternative modeling of exposure. Higher drinking frequency was associated with a lower T2D risk. For example, compared with drinking 1-2 days per week, the HRs (95% CIs) for drinking 5-6 days were 0.73 (0.65, 0.83), 0.73 (0.62, 0.86), and 0.76 (0.67, 0.86) in the NHS, NHSII, and HPFS cohorts, respectively. When modeled jointly, the lower risk of T2D among drinkers was primarily driven by the drinking frequency. The inverse association began at drinking 1-2 days per week in women and 3-4 days per week in men and was strongest for ≥5 days per week, regardless of drinking <10 g or ≥30 g per drinking day.

conclusionsLight to moderate alcohol consumption, especially regular light drinking, was associated with a lower risk of T2D in both men and women.

Indexed as

Alcohol DrinkingDiabetes Mellitus, Type 2AdultAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited States

Identifiers

PMID39965054
PMCPMC12178616

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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.