Evidence map›Paper›PMID 37097736›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2023

Differences in mental health and alcohol use across profiles of COVID-19 disruptions.

Aaliyah Gray, Tingting Liu, Salvatore Giorgi, Celia B Fisher, Brenda Curtis

Open access · hybridAbstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

5 authors at 4 institutions in 1 country.

Aaliyah GrayDepartment of Psychology, Fordham University, Bronx, NY 10458, United States.
Tingting LiuTechnology and Translational Research Unit, Translational Addiction Medicine Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, United States.
Salvatore GiorgiTechnology and Translational Research Unit, Translational Addiction Medicine Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, United States.
Celia B FisherDepartment of Psychology, Fordham University, Bronx, NY 10458, United States.
Brenda CurtisTechnology and Translational Research Unit, Translational Addiction Medicine Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, United States.
Fordham University · USNational Institute on Drug Abuse · USNational Institutes of Health · USUniversity of Pennsylvania · US

Funding

NIDA IRP Clinical Core support of the NIDA IRP HIV Clinical ProgramZIDDA000623 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI LEGGIO, LORENZO · 2018 to 2025
$17.6M
Digital Markers in Relapse and RecoveryZIADA000628 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2019 to 2025
$10.0M
Changes in Substance Use Following COVID-19: Harnessing Digital PhenotypingZIADA000632 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2020 to 2022
$1.3M
Intramural NIH HHS ZIA DA000632NIDA NIH HHSNIH HHS ZIA-DA000632
6 · The paper itself

Abstract

This study aimed to examine differences in mental health and alcohol use outcomes across distinct patterns of work, home, and social life disruptions associated with the COVID-19 pandemic. Data from 2093 adult participants were collected from September 2020 to April 2021 as a part of a larger study examining the impacts of the COVID-19 pandemic on substance use. Participants provided data on COVID-19 pandemic experiences, mental health outcomes, media consumption, and alcohol use at baseline. Alcohol use difficulties, including problems related to the use, desire to use alcohol, failure to cut down on alcohol use, and family/friend concern with alcohol use, were measured at 60-day follow-up. Factor mixture modeling followed by group comparisons, multiple linear regressions, and multiple logistic regressions was conducted. A four-profile model was selected. Results indicated that profile membership predicted differences in mental health and alcohol use outcomes above and beyond demographics. Individuals experiencing the most disruption reported the strongest daily impact of COVID-19 and significantly high levels of depression, anxiety, loneliness, overwhelm, alcohol use at baseline, and alcohol use difficulties measured at 60-day follow-up. The findings highlight the need for integrated mental health and/or alcohol services and social services targeting work, home, and social life during public health emergencies in order to respond effectively and comprehensively to the needs of those requiring different types of support.

Indexed as

COVID-19Mental HealthAdultAlcohol DrinkingAnxietyEthanolHumansPandemicsEthanolalcohol useCOVID-19health disparitiesmental healthpsychological distress

Identifiers

PMID37097736
PMCPMC10331928
OpenAlexW4366982853

What OpenQuestion holds

Textmetadata
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.