ArticleScientific reports2025
Association between alcohol consumption and risk of type 2 diabetes in Japan: a population-base longitudinal cohort study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Baseline and longitudinal joint associations of alcohol consumption and obesity with diabetes risk: evaluating multiplicative and additive interactions.Diabetologia · 2026Article
- Impact of Moderate Wine Consumption on Type 2 Diabetes.Nutrients · 2026Review
- Global Burden of Type 2 Diabetes Attributable to Behavioral Risks: Insights and Projections to 2050 Based on the Global Burden of Disease Study 2021.International journal of public health · 2026Article
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Authors and funding
6 authors.
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Abstract
Heavy alcohol consumption is a known risk factor for type 2 diabetes (T2D), However, the moderating effect of fasting plasma glucose (FPG) levels remains unclear. This study explores the relationship between alcohol intake and T2D risk across FPG strata in a Japanese cohort. Data from 15,453 participants in the NAGALA cohort were analyzed over 5.4 years. Baseline assessments included alcohol consumption and FPG, categorizing individuals into elevated FPG (EFPG, 100-125 mg/dL) and normal FPG (NFPG, < 100 mg/dL). Cox proportional hazards regression assessed alcohol intake levels and T2D risk, stratified by FPG. Among EFPG individuals, heavy drinkers (Men > 280 g/week, Women > 140 g/week) had an 88% increased T2D risk (HR 1.88, 95% CI 1.24-2.84). Conversely, in NFPG, heavy alcohol intake did not significantly affect T2D risk (HR 1.10, 95% CI 0.48-2.53). Men with EFPG and heavy alcohol intake had an HR of 1.83 (95% CI 1.08-3.08), supported by propensity score matching (HR 1.94, 95% CI 1.13-3.34). No significant relationships were found in NFPG. Heavy alcohol consumption significantly raises T2D risk in Japanese men with EFPG but not in women or those with NFPG. Further studies are warranted for validation and gender-specific insights.
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