Evidence map›Paper›PMID 33587290›Full record

ArticleAlcoholism, clinical and experimental research2021

Trends in US Alcohol Consumption Frequency During the First Wave of the SARS-CoV-2 Pandemic.

Sarah McKetta, Christopher N Morrison, Katherine M Keyes

Open access · bronzeAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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

3 authors at 2 institutions in 3 countries.

Sarah McKettaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0001-8953-1809
Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0001-6522-6420
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0002-5624-021X
Columbia University · USGeneral Department of Preventive Medicine · VN

Funding

Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
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
Influences Of In-Person Social Networks, Digital Social Networks And Neighborhoods On Adolescent Alcohol ConsumptionK01AA026327 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORRISON, CHRISTOPHER NEIL · 2018 to 2022
$903k
Bill and Melinda Gates FoundationNIAAA NIH HHS K01 AA026327NIAAA NIH HHS R01 AA026861NIAAA NIH HHS R01-AA026861NIA NIH HHS U01 AG054580NIA NIH HHS U01AG054580
6 · The paper itself

Abstract

backgroundThe SARS-CoV-2 pandemic created disruptions and stressors which may have influenced alcohol consumption frequency trends. Varying COVID-19 health burden and alcohol policies may have contributed to different consumption trends between states. The aim of this study is to assess trends in alcohol consumption and moderation by state of residence.

methodsWe examined trends in adult drinking days, during the first wave of the pandemic (March 10 to June 8) using longitudinal data from the Understanding America Study (N = 6,172 unique participants; N = 28,059 observations). Because state mandates were responsive to disease burden, we modeled the interaction of time by COVID-19 burden, defined as whether the state had the median (or higher) daily incidence of COVID-19 cases on the survey date, and state random effects. We controlled for individual sociodemographics, perceived personal/familial COVID-19 burden, mental health symptomology, and risk avoidance.

resultsDrinking days increased throughout the duration (incidence risk ratio [IRR] for drinking per increase in one calendar day = 1.003, 95% CI 1.001, 1.004); trends were heterogeneous by disease burden, with individuals living in states with lower COVID-19 burden increasing (IRR = 1.005, 95% CI 1.003, 1.007) faster than those living in states with higher COVID-19 burden (IRR = 1.000, 95% CI 0.998, 1.002). Trends were heterogeneous between states, but there was no evidence of systematic geographic clustering of state trends.

conclusionsDrinking days increased during the first months of the COVID-19 pandemic, particularly among residents of states with lower disease burden.

Indexed as

Surveys and QuestionnairesAdultAgedAlcohol DrinkingCOVID-19FemaleHumansLongitudinal StudiesMaleMiddle AgedPandemicsSelf ReportUnited StatesAlcoholSARS-CoV-2Trends

Identifiers

PMID33587290
PMCPMC8014717
OpenAlexW3131822256

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.