Evidence map›Paper›PMID 35753040›Full record

ArticleAlcoholism, clinical and experimental research2022

Longitudinal assessment of drinking changes during the pandemic: The 2021 COVID-19 follow-up study to the 2019 to 2020 National Alcohol Survey.

William C Kerr, Yu Ye, Priscilla Martinez, Katherine J Karriker-Jaffe, Deidre Patterson, Thomas K Greenfield, Nina Mulia

Open access · greenAbstract 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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 40 citations in OpenAlex.

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  9. "My Health Is More Important than Drinking": A Qualitative Analysis of Alcohol Use During COVID-19.International journal of environmental research and public health · 2025
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  13. Discriminating Between Marijuana and Alcohol Gait Impairments Using Tile CNN With TICA Pooling.IEEE open journal of engineering in medicine and biology · 2025
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  17. Analysis of theInternational journal of molecular sciences · 2024
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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

7 authors at 2 institutions in 1 country.

William C KerrAlcohol Research Group, Public Health Institute, Emeryville, California, USA.ORCID 0000-0001-6612-9200
Yu YeAlcohol Research Group, Public Health Institute, Emeryville, California, USA.
Priscilla MartinezAlcohol Research Group, Public Health Institute, Emeryville, California, USA.ORCID 0000-0002-6797-1632
Katherine J Karriker-JaffeCommunity Health Research Division, RTI International, Berkeley, California, USA.ORCID 0000-0002-2019-0222
Deidre PattersonAlcohol Research Group, Public Health Institute, Emeryville, California, USA.ORCID 0000-0002-6775-9682
Thomas K GreenfieldAlcohol Research Group, Public Health Institute, Emeryville, California, USA.ORCID 0000-0002-3108-4812
Nina MuliaAlcohol Research Group, Public Health Institute, Emeryville, California, USA.ORCID 0000-0002-5847-9697
Public Health Institute · USInternational Computer Science Institute · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI KERR, WILLIAM C. · 1985 to 2025
$34.1M
Understanding longitudinal relationships between COVID-19 pandemic outcomes and alcohol use and problems from 2019 to 2020 and 2021 for the U.S. population and vulnerable groups.R01AA029921 · NIAAA · PUBLIC HEALTH INSTITUTE · PI MARTINEZ, PRISCILLA · 2021 to 2023
$1.1M
Inflammation and alcohol-related racial/ethnic health disparitiesK01AA024832 · NIAAA · PUBLIC HEALTH INSTITUTE · PI MARTINEZ, PRISCILLA · 2017 to 2021
$789k
NIAAA NIH HHS K01 AA024832NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA029921
6 · The paper itself

Abstract

backgroundSurveys of changes in drinking during the COVID-19 pandemic have primarily relied on retrospective self-report. Further, most such surveys have not included detailed measures of alcohol use patterns, such as beverage-specific consumption, nor measures of alcohol use disorder (AUD) symptoms that would allow a comprehensive understanding of changes in alcohol use.

methodsData from 1819 completed interviews from the N14C follow-up survey to the 2019 to 2020 National Alcohol Survey (N14) were conducted between January 30 and March 28, 2021. Questions on alcohol use from the Graduated Frequency series, beverage-specific quantity and frequency, and DSM-5 AUD items were asked in both surveys and used to estimate changes from pre-pandemic drinking to drinking during the pandemic. Analyses focus on changes in these measures over time and comparisons between key subgroups defined by gender, race/ethnicity, and age.

resultsKey findings include particularly large increases in drinking and AUD for African Americans and women, reduced drinking and heavy drinking prevalence among men and White respondents, and a concentration of increased drinking and AUD among respondents aged 35 to 49. Increases in alcohol use were found to be driven particularly by increases in drinking frequency and the consumption of spirits.

conclusionsResults confirm prior findings of overall increases and subgroup-specific changes, and importantly, provide detailed information on the patterns of change across major socio-demographic subgroups. Substantial increases in the prevalence of DSM-5 moderate to severe AUDs are a novel finding that is of particular concern.

Indexed as

AlcoholismCOVID-19Alcohol DrinkingFemaleFollow-Up StudiesHumansMalePandemicsRetrospective Studiesbeverage-specificCOVID-19graduated frequencyhigh-intensity drinkingnational alcohol surveypanel survey

Identifiers

PMID35753040
PMCPMC9350305
OpenAlexW4283513112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.