Evidence map›Paper›PMID 41620974›Full record

ArticleAlcohol, clinical & experimental research2026

Maturing out or in? Demographic determinants of young adult drinking trajectories and midlife alcohol use disorder risks.

Sarah McKetta, Paul Espinoza, Katherine Keyes, Justin Jager

Abstract read
In one paragraph

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Sarah McKettaDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0001-8953-1809
Paul EspinozaT. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, Arizona, USA.
Katherine KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-5624-021X
Justin JagerDepartment of Psychology, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-0067-0920

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Age, period, and cohort effects on gender differences in alcohol use and alcohol use disorders in 47 national, longitudinally-followed cohortsR01AA026861 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JAGER, JUSTIN O, KEYES, KATHERINE M. · 2018 to 2022
$1.9M
Associations between stigma and alcohol use among women and their offspringR00AA031316 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Sarah Claibourne McKetta · 2025 to 2026
$498k
Associations between structural stigma and alcohol use among sexual minority women and their offspringK99AA031316 · NIAAA · HARVARD PILGRIM HEALTH CARE, INC. · PI MCKETTA, SARAH CLAIBOURNE · 2024 to 2025
$285k
NIAAA NIH HHS K99 AA031316NIAAA NIH HHS K99-AA031316NIAAA NIH HHS R00 AA031316NIAAA NIH HHS R01 AA026861NIAAA NIH HHS R01-AA026861NIDA NIH HHS R01 DA001411NIDA NIH HHS R01-DA001411NIDA NIH HHS R01 DA016575NIDA NIH HHS R01-DA016575
6 · The paper itself

Abstract

backgroundHeavy alcohol use in young adulthood impacts future health, including alcohol use disorder (AUD). Dynamic trajectories of adolescent to adult alcohol use are understudied, as are sociodemographic correlates of trajectories.

methodsWe employed repeated-measures latent class analysis to identify trajectories of age 18-30 alcohol use among participants from Monitoring the Future, a representative, ongoing national sample of US adults surveyed longitudinally from 1976 to 2020 (N = 32,121). In each survey, participants' alcohol use was categorized as abstinence, "higher risk" (daily or binge drinking), or "lower risk" (no daily or binge drinking). We assessed how class membership was associated with sociodemographic predictors (sex, ethnoracial identity, birth cohort, and parental education) and age 35 AUD symptomatology.

resultsAnalyses supported an eight-class solution, characterized by three broad trajectory categories: (1) stable, (2) movement toward higher intensity drinking, and (3) movement toward lower intensity drinking. Across demographics, later birth cohorts were more likely to move toward higher intensity drinking, as well as to abstain completely. Among drinkers, those who moved from lower risk drinking to abstention across ages 18-30 had a relatively low (4%) probability of age 35 AUD symptomatology. In contrast, participants with stable higher risk drinking patterns had a 67% probability of age 35 AUD symptomatology, as did 53% of participants whose alcohol trajectories increased from lower to higher risk.

conclusionsOver half of adults reported stable patterns of drinking across ages 18-30, but over half also reported at least one period of higher risk drinking. More recent cohorts are less likely to "mature out" of higher intensity alcohol use but also more likely to abstain. Even "lower risk" drinking conferred increased probability of AUD symptomatology relative to abstention. Our findings underscore the need to identify hazardous alcohol patterns during adolescence and young adulthood to prevent later life misuse and dependency.

Indexed as

Alcohol DrinkingAlcoholismAdolescentAdultBinge DrinkingFemaleHumansLongitudinal StudiesMaleRisk FactorsUnited StatesYoung Adultalcohol use disordercohortdemographicshazardous drinkingtrajectories

Identifiers

PMID41620974
PMCPMC12861171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.