Summary: Women in their 20’s who frequently binge drink had the highest self-reported prevalence of COVID-19 infection among subgroups within a study of alcohol and drug usage during the pandemic. Researchers say the increased infection risk was due to binge drinkers being less vigilant with their social behaviors as a result of intoxication.
Source: Rutgers University
Women in their mid 20s who reported frequent binge drinking during the COVID-19 pandemic were more likely to become infected with COVID-19, according to Rutgers researchers who said physicians need to develop pandemic-related prevention methods to tackle substance use issues.
The study, published in Drug and Alcohol Dependence, found that young Black and white women ranging from ages 25 to 28 who reported binge drinking – four or more drinks in one sitting – had the highest self-reported prevalence of COVID-19 infection among the subgroups studied.
“Our research shows that when young women binge drink, they’re also heightening their risk of contracting COVID-19. This can be due to several factors associated with binge drinking, such as being less vigilant in using preventive behaviors such as social distancing when intoxicated,” said Tammy Chung, a professor of psychiatry and director of the Center for Population Behavioral Health at the Rutgers Institute for Health, Health Care Policy and Aging Research and a corresponding author in the study.
Researchers analyzed whether people’s use of alcohol and substances changed from before the COVID-19 pandemic to during the pandemic in a sample of young Black and white women. They examined how characteristics such as socioeconomic status and COVID-19 infection status were associated with certain patterns of substance and alcohol use during the COVID-19 pandemic.
The study focused on young women, an understudied group whose rates of substance use are catching up to or matching that of men for most substances, because young women experience disproportionate financial strain because of job loss and increased caregiving responsibilities.
“Identifying these characteristic profiles can inform tailored intervention to address disparities associated with risk for COVID-19 infection and its intersection with specific patterns of substance use among young women to guide more personalized public health response,” said Chung.
The study looked at seven subgroups of young women who showed similar patterns of substance use before and during the COVID-19 pandemic. Groups included those with low use of substances, cannabis use, binge drinking, cigarette or e-cigarette use combined with binge drinking and other patterns.
Researchers also examined the characteristics that were associated with these patterns of substance use, such as socioeconomic status, COVID-19 infection status and COVID-19 impacts on mental health and financial situations.
Each subgroup correlated with a different response to COVID-19 impacts. Using the profiles of the subgroups, researchers could better understand how personal characteristics are associated with patterns of substance abuse. Researchers also found that individuals who reported using more than one drug were more likely to report pandemic-related psychological health and job or income loss.
“Women who report use of multiple substances warrant intervention not only for substance use, but also would benefit from mental health services and job or income-loss support,” said Chung.
Future research could analyze subgroups of males, women who don’t identify as Black or white and other age groups.
Coauthors of the study include Carolyn Sartor, Ashley Grosso and Yanping Jiang of Rutgers Institute for Health, Health Care Policy and Aging Research; and Alison Hipwell of the University of Pittsburgh School of Medicine.
About this binge drinking and COVID-19 research news
Author: Andrew Smith
Source: Rutgers University
Contact: Andrew Smith – Rutgers University
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Original Research: Closed access.
“Person-centered patterns of substance use during the COVID-19 pandemic and their associations with COVID-related impacts on health and personal finances in young Black and White women” by Tammy Chung et al. Drug and Alcohol Dependence
Person-centered patterns of substance use during the COVID-19 pandemic and their associations with COVID-related impacts on health and personal finances in young Black and White women
Population-level statistics on pandemic-related change in substance use can obscure patterns of use (e.g., polysubstance use) within individuals. This longitudinal study used a person-centered approach to identify subgroups with respect to patterns of substance use prior to and during the COVID-19 pandemic, and to examine profile correlates (e.g., socio-demographic characteristics), which can inform tailored intervention.
The two youngest age cohorts of the Pittsburgh Girls Study (n = 938; 59.1 % Black, 40.9 % White; mean age= 26.2 (SD= 0.8)), a longitudinal community sample, provided data on past year frequency of cigarette/e-cigarette use, binge drinking (>4 drinks per occasion), and cannabis use prior to and during the pandemic, and perceived change in use. Latent profile analysis identified subgroups. Profile correlates were examined (e.g., sociodemographics, COVID-19 infection status and reported exposure, COVID-19 impacts on psychological health and finances).
Seven profiles were identified: “Low use”, “Occasional binge drinking”, “Cannabis use”, “Cigarette/e-cigarette & binge drinking”, “Occasional binge drinking & cannabis”, “Binge drinking & cannabis”, and “Polysubstance use”. Black women were overrepresented in “Low use”, which was associated with fewer pandemic effects on health. Profiles associated with more frequent binge drinking were more likely to report COVID-19 infection, whereas “Cannabis use” had lower reported infection prevalence. “Polysubstance use” had more COVID-related depression and income loss, on average, than “Low use”.
Distinct subgroups representing single substance use, co-use, and polysubstance use prior to and during the pandemic were identified. The profiles show differential response to COVID-19 impacts, ranging from relative hardiness to specific needs to guide personalized treatment.