Evidence map›Paper›PMID 36101549›Full record

ArticleAddictive behaviors reports2022

Associations between alcohol and cannabis use before and during the COVID-19 pandemic: Results of a community survey.

Kimberly Goodyear, Patience Moyo, Jaqueline C Avila, Jasjit S Ahluwalia, Mollie A Monnig

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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 1 institution in 1 country.

Kimberly GoodyearCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Patience MoyoCenter for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University, Providence, RI, USA.
Jaqueline C AvilaCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Jasjit S AhluwaliaCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Mollie A MonnigCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA.
Brown University · US

Funding

Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Tyler Blake Wray · 2019 to 2026
$22.0M
Immune Activation and Neurodegeneration in HIV Infection and Heavy DrinkingK23AA024704 · NIAAA · BROWN UNIVERSITY · PI MONNIG, MOLLIE A · 2016 to 2021
$1.1M
NIAAA NIH HHS K23 AA024704NIGMS NIH HHS P20 GM130414
6 · The paper itself

Abstract

The COVID-19 pandemic has impacted individuals around the world, creating unprecedented challenges. Due to lockdowns and social distancing measures, many people have turned to contactless modes of obtaining alcohol and other substances (e.g., home delivery). This study investigated associations between alcohol and cannabis use before and during the initial months of the COVID-19 pandemic and factors associated with use. An online, cross-sectional survey with a non-probability sample (

Indexed as

AlcoholCannabisCOVID-19 pandemicHome deliverySurvey

Identifiers

PMID36101549
PMCPMC9458547
OpenAlexW4295204496

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.