Evidence map›Paper›PMID 40329565›Full record

ArticleSubstance use & misuse2025

Distinguishing High-Intensity Drinking from Heavy-Episodic Drinking Events Among Heavy-Drinking U.S. adults.

Edwina Williams, Camillia K Lui, Libo Li, Yachen Zhu, Won Kim Cook, William C Kerr, Thomas K Greenfield

Abstract read
In one paragraph

Article in Substance use & misuse, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Edwina WilliamsAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Camillia K LuiAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Libo LiAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Yachen ZhuAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Won Kim CookAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
William C KerrAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Thomas K GreenfieldAlcohol Research Group, Public Health Institute, Emeryville, California, USA.

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MULIA, NINA · 1985 to 2025
$34.1M
NIAAA NIH HHS P50 AA005595
6 · The paper itself

Abstract

introductionHigh-intensity drinking (HID) poses significant health risks, yet research on its prevalence and contextual factors, among general adult populations, remains limited. To identify intervention points among heavy drinkers, this study compared event-level factors that were associated with higher risk for HID compared to heavy episodic drinking (5+ drinks).

methodsWe surveyed 756 adults (ages 18-65) who engaged in past-year 5+ drinking, answering questions on recent past 12-month drinking events at HED 5-7 drinks and HID 8-11 and 12+ drinks. Bivariate analyses were conducted to compare within-person differences between HED and HID events. Weighted conditional logistic regression models estimated within-person associations between event-specific (e.g., beverage type, day of the week, total hours spent drinking, drug co-use, drinking motives) characteristics and HID drinking levels (8-11 drinks and 12+ drinks separately), versus the HED drinking level (5-7 drinks).

resultsBivariate analyses revealed significant differences for several event-specific characteristics (beverage proportion, total hours, day of the week, group size, tobacco co-use, and drinking motives) between HED 5-7 and HID (8-11 and 12+ drinks). Conditional logistic regression models revealed longer drinking periods and the intention to drink a lot were associated with increased odds of a HID event (8-11 and 12+ drinks) versus a HED event. Drinking in small groups was also associated with increased odds of a HID event (8-11 drinks), while marginally significant for a HID event (12+ drinks).

conclusionUnderstanding distinct characteristics of HID events compared to HED events provides opportunities to identify prevention and early intervention strategies to reduce HID.

Indexed as

Alcohol DrinkingBinge DrinkingAdolescentAdultAgedFemaleHumansMaleMiddle AgedMotivationUnited StatesYoung Adultadult drinking patternsdrinking contextsevent-level factorsheavy episodic drinkingHigh-intensity drinking

Identifiers

PMID40329565
PMCPMC12289291

What OpenQuestion holds

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Registered trials

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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.