Evidence map›Paper›PMID 37287728›Full record

ArticleCannabis (Albuquerque, N.M.)2023

Understanding Changes in Social Cannabis Use among Young Adults During the COVID-19 Pandemic: A Social Network Analysis.

Graham T DiGuiseppi, Ekaterina V Fedorova, Bridgid Conn, Stephen E Lankenau, Jordan P Davis, Janna Ataiants, Carolyn F Wong

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Article in Cannabis (Albuquerque, N.M.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Graham T DiGuiseppiSuzanne Dworak-Peck School of Social Work, University of Southern California.
Ekaterina V FedorovaDrexel University, Dornsife School of Public Health, Department of Community Health and Prevention.
Bridgid ConnChildren's Hospital Los Angeles, Division of Adolescent and Young Adult Medicine.
Stephen E LankenauDrexel University, Dornsife School of Public Health, Department of Community Health and Prevention.
Jordan P DavisSuzanne Dworak-Peck School of Social Work, University of Southern California.
Janna AtaiantsDrexel University, Dornsife School of Public Health, Department of Community Health and Prevention.
Carolyn F WongChildren's Hospital Los Angeles, Division of Adolescent and Young Adult Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As the COVID-19 pandemic has caused historic morbidity and mortality and disrupted young people's social relationships, little is known regarding change in young adults' social cannabis use following social distancing orders, or other factors associated with such changes before and during the pandemic. Methods: 108 young adult cannabis users in Los Angeles reported on their personal (egocentric) social network characteristics, cannabis use, and pandemic-related variables before (July 2019 - March 2020) and during the COVID-19 pandemic (August 2020 - August 2021). Multinomial logistic regression identified factors associated with increasing or maintaining the number of network members (alters) participants used cannabis with before and during the pandemic. Multilevel modeling identified ego- and alter-level factors associated with dyadic cannabis use between each ego and alter during the pandemic. Results: Most participants (61%) decreased the number of alters they used cannabis with, 14% maintained, and 25% increased. Larger networks were associated with a lower risk of increasing (vs. decreasing); more supportive cannabis-using alters was associated with a lower risk of maintaining (vs. decreasing); relationship duration was associated with a greater risk of maintaining and increasing (vs. decreasing). During the COVID-19 pandemic (August 2020 - August 2021), participants were more likely to use cannabis with alters they also used alcohol with and alters who were perceived to have more positive attitudes towards cannabis. Conclusions: The present study identifies significant factors associated with changes in young adults' social cannabis use following pandemic-related social distancing. These findings may inform social network interventions for young adults who use cannabis with their network members amid such social restrictions.

Indexed as

cannabisCOVID-19egocentric networkssocial distancingsocial network analysisyoung adults

Identifiers

PMID37287728
PMCPMC10212261

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LicenceCC BY-NC-ND
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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.