Alcohol influences the use of decisional support.

Psychopharmacology (Berl)

School of Psychology and Psychiatry, Monash University, Clayton, VIC 3800, Australia.

Published: March 2010

Aim: Excess consumption of alcohol leads to impaired cognition and decision making; hence, alcohol-containing products and advertising contain warning messages about the adverse effects of excess drinking. However, there is a need to understand how alcohol influences the processing of advisory messages.

Method: The current study used a computerised gambling simulation and investigated whether intoxication would affect the use of a decision aid. Using a double-blind repeated measures design, 16 adult males (aged 18-29) completed the Alcohol Use Disorders Identification Test and the South Oaks Gambling Screen and played a computer blackjack program on two separate occasions, under differing doses of alcohol. On certain conditions, the computerised decision aid gave advice to participants as to whether the odds were in their favour.

Results: Participants were found to take longer to respond to the decision aid under higher risk conditions when they were losing.

Conclusion: Alcohol intoxication may lead to problems evaluating information pertaining to risk, and this has implications for the use of other decision aids designed to assist intoxicated individuals. The problems processing warning information were consistent with alcohol induced 'myopia' where intoxicated individuals had problems processing less salient cues.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00213-009-1762-6DOI Listing

Publication Analysis

Top Keywords

decision aid
12
alcohol influences
8
intoxicated individuals
8
individuals problems
8
problems processing
8
alcohol
7
decision
5
influences decisional
4
decisional support
4
support aim
4

Similar Publications

Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?

Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.

What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.

View Article and Find Full Text PDF

Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.

View Article and Find Full Text PDF

Introduction Acute appendicitis is a common surgical emergency that requires a timely and accurate diagnosis to prevent complications. Several laboratory markers have been assessed to improve the diagnostic accuracy of acute appendicitis, including C-reactive protein (CRP), white blood cell (WBC) count, and cytokines like interleukins and tumor necrosis factor-alpha. One less commonly used but potentially valuable marker is the mean platelet volume (MPV), which indicates the size of circulating platelets and has the potential to serve as a biomarker for inflammatory conditions.

View Article and Find Full Text PDF

The development of a decision support tool in the prehospital setting for acute chest pain - a study protocol for an observational study (BRIAN2).

Scand J Trauma Resusc Emerg Med

January 2025

PreHospen-Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden.

Introduction: Chest pain is one of the most common reasons for contacting the emergency medical services (EMS). It is difficult for EMS personnel to distinguish between patients suffering from a high-risk condition in need of prompt hospital care and patients suitable for non-conveyance. A vast majority of patients with chest pain are therefore transported to the emergency department (ED) for further investigation even if hospital care is not necessary.

View Article and Find Full Text PDF

Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment.

J Transl Med

January 2025

Fourth Clinical Medical College of Zhejiang Chinese Medical University, Zhejiang, 310006, Hangzhou, China.

Introduction: Cardiac arrest (CA), characterized by its heterogeneity, poses challenges in patient management. This study aimed to identify clinical subphenotypes in CA patients to aid in patient classification, prognosis assessment, and treatment decision-making.

Methods: For this study, comprehensive data were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) 2.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!