Impact of COVID-19 restrictions on alcohol consumption behaviours

Background We aimed to evaluate how coronavirus (COVID-19) restrictions had altered individual's drinking behaviours, including consumption, hangover experiences, and motivations to drink, and changing levels of depression and anxiety. Method We conducted an online cross-sectional self-report survey. Whole group analysis compared pre- versus post-COVID restrictions. A correlation coefficient matrix evaluated the associations between all outcome scores. Self-report data was compared with Alcohol Use Disorders Identification Test (AUDIT) scores from the 2014 Adult Psychiatric Morbidity Survey. Multiple linear modelling (MLM) was calculated to identify factors associated with increasing AUDIT scores and post-restriction AUDIT scores. Results In total, 346 individuals completed the survey, of which 336 reported drinking and were therefore analysed. After COVID-19 restrictions 23.2% of respondents reported an increased AUDIT score, and 60.1% a decreased score. AUDIT score change was positively correlated with change in depression (P < 0.01, r = 0.15), anxiety (P < 0.01, r = 0.15) and drinking to cope scores (P < 0.0001, r = 0.35). MLM revealed that higher AUDIT scores were associated with age, mental illness, lack of a garden, self-employed or furloughed individuals, a confirmed COVID-19 diagnosis and smoking status. Conclusions COVID-19 restrictions decreased alcohol consumption for the majority of individuals in this study. However, a small proportion increased their consumption; this related to drinking to cope and increased depression and anxiety.

Building a Model to Predict Sexual Assault Victimization Frequency Among Undergraduate Women

Previous research has identified several factors, including sexual risk behaviors, alcohol consumption, sexual refusal assertiveness, impulse control difficulties, drinking to cope, and sex to cope, as being associated with sexual assault victimization. Data were collected from 465 adult, undergraduate women, and analyzed using structural equation modeling to determine how these variables related to one another. Results showed that together, these factors predicted 17.1% of the variance in victimization frequency. These findings may help future researchers better understand the etiology of sexual assault victimization on college campuses and prove crucial to the development of future intervention programs which reduce victimization.