"Changes in alcohol use during COVID-19 and associations with contextual and individual difference variables: A systematic review and meta-analysis." Correction to Acuff et al. (2022).

UNLABELLED

Reports an error in "Changes in alcohol use during COVID-19 and associations with contextual and individual difference variables: A systematic review and meta-analysis" by Samuel F. Acuff, Justin C. Strickland, Jalie A. Tucker and James G. Murphy (, 2022[Feb], Vol 36[1], 1-19). In the article, (https://doi.org/10.1037/adb0000796), Table 1 omitted information for the Start date and End date of data collection for the Alpers et al. (2021) study, and a clarifying note has been added to Table 1. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2022-04435-001.) Objective: The present study meta-analyzed studies examining changes in alcohol consumption during the coronavirus disease (COVID-19) pandemic and systematically reviewed contextual and individual difference factors related to these changes.

METHOD

Following the preferred reporting items for systematic reviews and meta-analysis (PRISMA) protocol, studies were gathered via PsycINFO, PubMed/MEDLINE, and preprint databases (published April 29, 2021) that examined individual-level changes in consumption during the initial COVID-19 mitigation measures (before October 2020). Next, sample proportion increases and decreases in consumption, in addition to mean change in consumption variables from pre- to during-COVID, were meta-analyzed, and contextual and individual difference variables related to consumption changes during the pandemic were summarized.

RESULTS

One hundred and twenty-eight studies provided data from 58 countries ( = 3,876; = 1,092; aggregate sample = 492,235). The average mean change in alcohol consumption was nonsignificant (Cohen's = -0.01, = .68); however, meta-analysis revealed that 23% of participants reported increases in consumption and 23% reported decreases. These changes were moderated by per capita gross domestic product and country. Narrative synthesis revealed multiple predictors of increased drinking, including contextual changes (e.g., children at home, income loss, working remotely), individual difference variables (being female, a young-to-middle aged adult, or Black), and mental health/alcohol-related risk factors (e.g., depression).

CONCLUSIONS

The identified factors associated with increased alcohol consumption should be considered in planning behavioral health services during future crisis events that abruptly alter everyday environments in ways that increase stress and decrease access to naturally occurring rewards. (PsycInfo Database Record (c) 2022 APA, all rights reserved).