Evidence map›Paper›PMID 42885170›Full record

ArticleAlcohol, clinical & experimental research2026

Age 18-30 Trajectories of Beverage-Specific Binge Drinking Prevalence Over 30 Years for Men and Women in the United States.

Justin Jager, Jin Yan, Paul Espinoza, Megan E Patrick, Katherine M Keyes

Abstract read
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Article in Alcohol, clinical & experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Justin JagerDepartment of Psychology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-0067-0920
Jin YanT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, Arizona, USA.
Paul EspinozaT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, Arizona, USA.ORCID https://orcid.org/0000-0001-8834-1114
Megan E PatrickSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-3594-4944
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-5624-021X

Funding

NIAAA NIH HHS R01-AA026861NIDA NIH HHS R01-DA001411NIDA NIH HHS R01-DA016575
6 · The paper itself

Abstract

backgroundBinge drinking contributes to substantial mortality, morbidity, and economic costs in the United States. Although trends in and determinants of overall binge drinking are well characterized, little is known about how binge drinking trends vary by beverage type (beer, wine, liquor) across young adulthood and over historical time. Understanding beverage-specific patterns may clarify shifts in alcohol-related risks and inform beverage-specific policy.

methodsData were drawn from the Monitoring the Future longitudinal study, which sampled representative cohorts of US high-school seniors from 1976 through 2008 and followed them across seven waves through age 30 from 1988 through 2020 (N = 20,684). Piecewise latent-growth models assessed age trends, cohort trends, and age-by-cohort interactions in overall, beer, wine, and liquor binge drinking prevalence separately for each sex.

resultsFor both sexes, overall binge drinking followed an inverted U pattern across age (increases from age 18-22, decreases through age 30); beer and liquor binge drinking followed the overall inverted U pattern, whereas wine was flat. Cohort trends varied sharply by age and differentially so by beverage type. For both sexes, historical decreases in overall binge drinking at the outset of young adulthood (age 18) were a function of historical decreases in beer and wine. However, due to historical increases in liquor and wine during the latter portion of young adulthood, for both sexes age 18 decreases in overall binge drinking were not maintained through age 30, where levels were flat for men and increased for women.

conclusionsBeverage-specific trends reveal that historical declines in binge drinking at younger ages of young adulthood are concentrated in beer and wine, whereas increases in liquor and wine at older ages offset these initial declines. Beverage-specific policies with evidence-based efficacy and cost effectiveness, such as increasing price and reducing availability, may help reduce emerging risks related to liquor and wine binge drinking.

Indexed as

Alcoholic BeveragesBinge DrinkingAdolescentAdultAge FactorsBeerFemaleHumansLongitudinal StudiesMalePrevalenceUnited StatesWineYoung Adultbeverage typebinge drinkinghistorical trendstrajectoriesyoung adulthood

Identifiers

PMID42885170
PMCPMC13673115

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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.