Evidence map›Paper›PMID 35532741›Full record

ArticleAlcoholism, clinical and experimental research2022

Alcohol use trajectories among U.S. adults during the first 42 weeks of the COVID-19 pandemic.

Adam M Leventhal, Junhan Cho, Lara A Ray, Rosalie Liccardo Pacula, Brian P Lee, Norah Terrault, Eric Pedersen, Jungeun Olivia Lee, Jordan P Davis, Haomiao Jin and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
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  3. Trajectories of Alcohol-Related Problems Among First-Year Nursing Students: Nature, Predictors, and Outcomes.Stress and health : journal of the International Society for the Investigation of Stress · 2026
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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

13 authors at 2 institutions in 1 country.

Adam M LeventhalInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-1217-525X
Junhan ChoInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Lara A RayDepartment of Psychology, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-5734-9444
Rosalie Liccardo PaculaInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Brian P LeeInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Norah TerraultInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Eric PedersenInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Jungeun Olivia LeeInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Jordan P DavisInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-6108-4936
Haomiao JinInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Jimi HuhInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
John P WilsonInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
Reid C WhaleyInstitute for Addiction Science, University of Southern California, Los Angeles, California, USA.
University of Southern California · USUniversity of California, Los Angeles · US

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Raina Pang · 2018 to 2026
$39.0M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
Clinical Neuroscience of Alcoholism: Integrating Neuroscience and Clinical TrialsK24AA025704 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY · 2018 to 2026
$1.3M
Molecular Mechanisms of Stellate Cell Activation in Liver FibrosisI01BX001991 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI HIDEKAZU TSUKAMOTO · 2014 to 2026
–
NCI NIH HHS U54 CA180905NIAAA NIH HHS K24 AA025704NIDA NIH HHS K24 DA048160
6 · The paper itself

Abstract

backgroundThis study characterized the prevalence, drinking patterns, and sociodemographic characteristics of U.S. adult subpopulations with distinct drinking trajectories during the COVID-19 pandemic's first 42 weeks.

methodsAdult respondents (n = 8130) in a nationally representative prospective longitudinal study completed 21 biweekly web surveys (March 2020 to January 2021). Past-week alcohol drinking frequency (drinking days [range: 0 to 7]) and intensity (binge drinking on usual past-week drinking day [yes/no]) were assessed at each timepoint. Growth mixture models identified multiple subpopulations with homogenous drinking trajectories based on mean drinking days or binge drinking proportional probabilities across time.

resultsFour drinking frequency trajectories were identified: Minimal/stable (72.8% [95% CI = 71.8 to 73.8]) with <1 mean past-week drinking days throughout; Moderate/late decreasing (6.7% [95% CI = 6.2 to 7.3) with 3.13 mean March drinking days and reductions during summer, reaching 2.12 days by January 2021; Moderate/early increasing (12.9% [95% CI = 12.2 to 13.6) with 2.13 mean March drinking days that increased in April and then plateaued, ending with 3.20 mean days in January 2021; and Near daily/early increasing (7.6% [95% CI = 7.0 to 8.2]) with 5.58 mean March drinking days that continued increasing without returning to baseline. Four drinking intensity trajectories were identified: Minimal/stable (85.8% [95% CI = 85.0% to 86.5%]) with <0.01 binge drinking probabilities throughout; Low-to-moderate/fluctuating (7.4% [95% CI = 6.8% to 8%]) with varying binge probabilities across timepoints (range:0.12 to 0.26); Moderate/mid increasing (4.2% [95% CI = 3.7% to 4.6%]) with 0.39 April binge drinking probability rising to 0.65 during August-September without returning to baseline; High/early increasing trajectory (2.7% [95% CI = 2.3% to 3%]) with 0.84 binge drinking probability rising to 0.96 by June without returning to baseline. Males, Whites, middle-aged/older adults, college degree recipients, those consistently working, and those above the poverty limit were overrepresented in various increasing (vs. minimal/stable) frequency trajectories. Males, Whites, nonmarried, those without college degree, 18 to 39-year-olds, and middle aged were overrepresented in increasing (vs. minimal/stable) intensity trajectories.

conclusionsSeveral distinct U.S. adult sociodemographic subpopulations appear to have acquired new drinking patterns during the pandemic's first 42 weeks. Frequent alcohol use assessment in the COVID-19 era could improve personalized medicine and population health efforts to reduce drinking.

Indexed as

Binge DrinkingCOVID-19AgedAlcohol DrinkingEthanolHumansLongitudinal StudiesMaleMiddle AgedPandemicsProspective StudiesEthanolalcohol use trajectoriesCOVID-19 pandemicepidemiology

Identifiers

PMID35532741
PMCPMC9246926
OpenAlexW4229451194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.