Predictors of Short-Term Alcohol Drinking in Patients with Alcohol Use Disorders during the Third Wave of the COVID-19 Pandemic: Prospective Study in Three Addiction Outpatient Centers in France.
Aymery ConstantMarlène SanzRomain MoirandPublished in: International journal of environmental research and public health (2022)
The present study investigates the extent to which the COVID-19 crisis disturbed different life domains of patients with alcohol use disorder (AUD) and assessed the associations between these disturbances and the risk of short-term alcohol drinking. All patients aged >18 years receiving outpatient care at three addiction treatment facilities from 15 April to 30 May 2021 were eligible for inclusion in the study. A trained resident assessed the extent to which the COVID-19 crisis affected their professional activity, social life, access to healthcare, and drinking problems, together with craving, drinking behavior, psychological distress, physical/mental health, and sociodemographic and clinical data. The same investigator assessed alcohol drinking 1 month after their visit. Nearly half of the patients felt that the COVID-19 crisis had a serious impact on their drinking problems, despite minor disruptions in access to healthcare. These disturbances significantly influenced short-term alcohol drinking in univariate analysis, together with psychological distress, craving, and drinking problems. Only craving predicted alcohol drinking in multivariate analyses, suggesting that psychological and drinking problems, as well as COVID-19 disturbances, increased the risk of alcohol drinking by increasing craving. Craving should be systematically investigated in patients with AUD to establish adapted social support systems during pandemics.
Keyphrases
- alcohol consumption
- mental health
- healthcare
- coronavirus disease
- sars cov
- end stage renal disease
- social support
- public health
- newly diagnosed
- chronic kidney disease
- ejection fraction
- alcohol use disorder
- peritoneal dialysis
- patient reported outcomes
- high resolution
- mass spectrometry
- smoking cessation
- data analysis
- big data
- machine learning
- body composition
- patient reported
- health information
- electronic health record
- single molecule