Role of alcohol drinking pattern in type 2 diabetes in Japanese men: the Toranomon Hospital Health Management Center Study 11 (TOPICS 11)
Open accessAbstract
Background Findings of past studies on the effect of drinking patterns on diabetes risk have been inconsistent.Objective We aimed to investigate the role of drinking frequency and usual quantity consumed in the development of type 2 diabetes.Design Enrolled were 1650 Japanese men without diabetes (diabetes: fasting plasma glucose ≥7.0 mmol/L, glycated hemoglobin ≥6.5%, or self-reported clinician-diagnosed diabetes). Average alcohol consumption and 12 combinations of frequency and usual quantity per drinking occasion were assessed at the baseline examination. The absolute risk and HR for the development of diabetes were calculated.Results During a mean follow-up period of 10.2 y, 216 individuals developed diabetes. Lifetime abstainers (n = 153) had a relatively low incidence of diabetes (9.1/1000 person-years), similar to moderate consumers (99-160 g ethanol/wk; 9.0/1000 person-years). Increasingly higher quantities of alcohol usually consumed per occasion increased the risk of diabetes regardless of drinking frequency. The lowest incidence rate of diabetes (8.5/1000 person-years) was associated with the consumption of <1 drink (<23 g ethanol) per occasion over ≥6 times/wk. Binge drinking (≥3 drinks per occasion) significantly increased the risk of future diabetes regardless of frequency (HR: 1.79; 95% CI: 1.17, 2.74) compared with <1 drink per occasion.Conclusions Among current drinkers, a drinking pattern of <1 drink per occasion regularly over 6 times within a week was associated with the lowest risk of developing diabetes. Usual quantity per drinking occasion was a more important determinant than was weekly drinking frequency in the association between alcohol consumption and risk of diabetes in Japanese men.
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Irregular heavy drinking occasions may play a role in explaining the differences between studies and reviews on alcohol and diabetes.
“Irregular heavy drinking occasions may play a role in explaining the differences between studies and in the reviews (e.g. 196, 197), but there are not enough epidemiological studies on diabetes including this dimension of alcohol exposure to settle this question.”
From The relationship between different dimensions of alcohol use and the burden of disease—an update (2017) · cites this paper as [196]
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- Authors
- Heianza, Y., Arase, Y., Saito, K., Tsuji, H., Fujihara, K., Hsieh, S. D., Kodama, S., Shimano, H., Yamada, N., Hara, S., & Sone, H.
- Affiliations
- Niigata University (JP)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 97
- Issue
- 3
- Pages
- 561-568
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2164481914
- Cited by
- 46
- References
- 42
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 5 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 10 · 2016: 4 · 2015: 1 · 2014: 12
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (24300233)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- type 2 diabetes, alcohol drinking patterns, binge drinking, drinking frequency, alcohol consumption, diabetes risk, Japanese men
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alcohol Drinking, Alcoholic Beverages, Diabetes Mellitus, Type 2, Feeding Behavior, Female, Follow-Up Studies, Humans, Male, Middle Aged, Surveys and Questionnaires, Risk Factors, Cohort Studies, Health Behavior, Incidence, Proportional Hazards Models, Asian People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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