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Updated: Sep 13, 2025

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
Published on: June 23, 2023
Biopsychosocial Profile of Chronic Alcohol Users: Insights from a Cross-Sectional Study
Luciana Angela Ignat1,2, Raluca Oana Tipa2,3, Alina Roxana Cehan4
1Doctoral School, 'George Emil Palade' University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540142 Targu Mures, Romania.
Abstract:
Introduction: Chronic alcohol use is a complex condition influenced by psychological, behavioral, and socio-demographic factors. This study aimed to develop a comprehensive psychosocial profile of individuals with alcohol use disorder (AUD) by examining associations between psychometric variables and relapse risk including repeated psychiatric hospitalizations. Methodology: A cross-sectional observational analytical study was conducted on a sample of 104 patients admitted for alcohol withdrawal management at the "Prof. Dr. Al. Obregia" Psychiatric Clinical Hospital in Bucharest between March 2023 and September 2024. Participants completed a set of validated psychometric tools: the Drinker Inventory of Consequences-Lifetime Version (DrInC), Readiness to Change Questionnaire-Treatment Version (RTCQ), Drinking Expectancy Questionnaire (DEQ), and Drinking Refusal Self-Efficacy Questionnaire (DRSEQ). Additional data were collected on the socio-demographic (education level, socio-professional category), genetic (family history of alcohol use), and behavioral factors (length of abstinence, tobacco use, co-occurring substance use disorders). Results: Higher alcohol-related consequence scores (DrInC) were significantly associated with lower education (p < 0.001, η2 = 0.483), disadvantaged socio-professional status (p < 0.001, η2 = 0.514), and family history of alcohol use (p < 0.001, η2 = 0.226). Self-efficacy (DRSEQ) was significantly lower among individuals with co-occurring substance use (p < 0.001) and nicotine dependence (p < 0.001). Logistic regression showed that the DrInC scores significantly predicted readmission within three months (OR = 1.09, p = 0.001). Conclusions: Psychometric tools are effective in identifying individuals at high risk. Personalized, evidence-based interventions tailored to both psychological and socio-professional profiles, combined with structured post-discharge support, are essential for improving long-term recovery and reducing the readmission rates.
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