search

Active clinical trials for "Alcoholism"

Results 241-250 of 1343

Genetic and Neural Factors in Alcohol-Related Cognition

Alcohol Abuse

This study is about how genetic and brain factors impact cognitive processes and behavior after alcohol consumption. Participation in this project will contribute to a better understanding of biological factors that influence alcohol misuse. This study will be completed in two laboratory visits.

Recruiting12 enrollment criteria

Anxiety/Depression, Sleep and Alcohol in Elderly Anxiety/Depression, Sleep Disturbances and Alcohol...

Anxiety StateSleep Disturbance3 more

The goal of MEM-ASA is to investigate the prevalence of anxiety/depression, sleep disturbances and alcohol use disorder in elderly with cognitive complaints. In memory clinics of Normandy (France), all patients aged over 50 year-old are systematically questioned about anxiety, depression, sleep quality and alcohol use disorder. They also perform a neuropsychological assessment. Questionnaires are given to the patient and his/her caregiver to be filled in at home. Levels of anxiety/depression, sleep quality and alcohol consumption are related to neuropsychological performance, diagnosis and responses to the questionaires.

Recruiting5 enrollment criteria

Cue Effects in Human Addiction: Pavlovian to Instrumental Transfer

Alcohol Use Disorder (AUD)Alcoholism5 more

Individuals with substance use disorders (SUD) have to cope with drug-related cues and contexts, which can affect instrumental drug seeking as shown with Pavlovian to instrumental transfer (PIT) paradigms in animals and humans. The investigators aimed to investigate the impact of acute and chronic stress on Pavlovian-to-instrumental transfer (PIT), how PIT it is associated with cognitive control abilities and whether such effects predict losing vs. regaining control in subjects with AUD. Moreover, the investigators aimed to develop a novel full transfer task that assesses both, general and specific PIT to investigate whether specific PIT differs between alcohol use disorder (AUD) and control subjects.

Recruiting20 enrollment criteria

TREAT Child Alcohol Use Disorder (C-AUD) in Eastern Uganda

Alcohol AbuseAlcohol Drinking9 more

The investigators will investigate the existence of alcohol drinking among children living under adult supervision and care, living within the communities. The investigators will focus on the age group 6-13 years overlapping with the recommended age for primary school attendance. The project is approaching the research topic using quantitative and qualitative methods. The TREAT C-AUD research project will therefore document to which degree alcohol drinking is a problem among children in Mbale, Eastern Uganda.

Recruiting6 enrollment criteria

Factors Predicting Outcome in Group Treatment of Alcohol Use Disorders (AUDs)

Alcohol Use Disorder (AUD)Alcohol Abuse6 more

Harmful alcohol use is a global risk factor for disease, injuries and death. Research on treatment of Alcohol use disorders (AUDs) indicates that different treatment modalities are equally effective, but also that a large group of patients do not change their drinking pattern despite being in treatment. It is assumed that it is not random who benefits from treatment. Thirty to forty percent of outcome variance in treatment is probably explained by patient factors, and we need more knowledge on how different patient factors moderate treatment effects. Further, clinicians also need more knowledge about selecting patients to different therapies. The present study will investigate how patient factors predict outcome in group treatment of AUDs, and what predicts positive treatment outcomes over time. The study is designed as a quasi-experimental, multi-centre, follow-up study. Patients will be included from Vestfold Hospital Trust, Borgestadklinikken, Blue Cross Clinic, Behandlingssenteret Eina, Blue Cross Clinic and A-senteret, Oslo, Church City Mission. The Project will provide more knowledge about patients seeking treatment for AUDs, and specifically how patient factors predict outcome in group treatment. These results will in turn lead to better selection of treatment modalities, and patients will receive a more effective treatment earlier on. Main aims: 1) How do patient factors predict outcome in group treatment of alcohol use disorders (AUDs)? 2) Do positive treatment outcomes last over time? Specifically, do the following factors: a) psychiatric comorbidity b) severity of alcohol use pre-treatment c) personality disorders and d) cognitive impairments predict 1) completion of group treatment and 2) positive outcome after 1 year. As an additional aim, we will investigate if the Montreal Cognitive Assessment test (MoCa) is feasible as a brief screening instrument for mild cognitive impairments for AUD patients.

Recruiting4 enrollment criteria

Baclocur® Post-Authorisation Safety Study in Real-life Settings in France

Alcohol Use Disorder

The overall goal of the study is to further characterize the risks and the safety profile of Baclocur® in real life settings, over a 12-month follow-up period.

Recruiting7 enrollment criteria

Neural and Hormonal Influences on Sex Differences in Risk for AUD

Alcohol Use Disorder

The sex gap in alcohol consumption is closing rapidly, due to alarming increases among women. From 2002-2013, Alcohol Use Disorder (AUD) increased 84% for women, compared to 35% for men. As such, there is an urgent need to determine the factors underlying sex differences in risk for AUD. Current addiction models propose three domains that drive problematic alcohol use and serve as candidate sex-specific risk factors: executive function, negative emotionality, and incentive salience. Data suggest that poor inhibitory control, a key component of executive function, is a stronger risk factor for women than for men. Moreover, there is have preliminary evidence that female drinkers show less engagement of neural inhibitory circuitry, and that this sex difference is influenced by estradiol. However, the degree to which hormonally-moderated sex differences in executive function extend to the negative emotionality and incentive salience domains, and how these sex differences influence current and future drinking is unknown. The goal of this study is to identify the mechanisms underlying sex-specific risk for AUD, and ultimately to help develop sex-specific prevention and treatment efforts. The overall objective of this trial is to determine the neural and hormonal factors contributing to sex-specific risk for AUD in three addiction domains: inhibitory control (executive function), negative emotionality, and alcohol cue reactivity (incentive salience).

Recruiting13 enrollment criteria

Real-Time fMRI to Enhance Interventions That Change Delay Discounting

Alcohol Use Disorder (AUD)

The investigators will use real-time fMRI neurofeedback to enhance participants' ability to control their temporal window, and hence their ability to modulate delay discounting and alcohol valuation.

Recruiting8 enrollment criteria

Adverse Childhood Experiences in Alcohol Use Disorder

Alcohol Use DisorderTrauma1 more

Adverse childhood experiences (ACE) and their relation to the development of an alcohol use disorder (AUD) will be measured with functional magnetic resonance imaging (fMRI).

Recruiting15 enrollment criteria

Nottingham Community Liver Biomarkers Cohort

Chronic Liver DiseaseAlcohol Use Disorder3 more

Deaths due to advanced liver scarring (liver cirrhosis) continue to increase, and liver disease is now the 3rd leading cause of premature death in the United Kingdom. The majority of liver disease is lifestyle related (alcohol, obesity and associated type 2 diabetes, injecting drug use) and therefore reversible if caught at a precirrhosis stage. However, current liver function blood tests are poor inadequate, and subsequently a large burden of liver disease is currently missed. A variety of noninvasive liver biomarkers (blood and imaging tests) have been developed which identify liver disease accurately at earlier stages of scarring. The identification of liver disease in the community, where previous studies have discovered a large burden of previously unidentified but significant liver disease, is therefore a feasible place to develop new liver disease investigation pathways using these noninvasive markers. In collaboration with the Department of Health, Nottingham University Hospitals have commenced a pilot community liver disease pathway in two General Practices in Nottingham in February 2012. Patients with liver risk factors (hazardous alcohol use, obesity or type 2 diabetes)are invited to take part in the pathway. Patients undergo a simple blood test (AST:ALT ratio and BARD score), with a high test result requiring referral for a liver stiffness scan (Fibroscan)which is performed in the community setting. High threshold scan values are reviewed by a consultant liver specialist in a community liver clinic. Preliminary findings show that the pathway accurately identifies patients with early liver scarring and previously unidentified significant liver disease. The participating General Practitioners have also noted a striking number of patients finally engaging in important lifestyle changes following pathway implementation. A second phase of the pilot pathway, in 2 Inner City General Practices with a total practice population of c.14,000 patients commenced in June 2013. We have subsequently designed this cohort study, where pilot participants will be consented for follow up over a long period. We will assess future liver-related and cardiovascular events (including death), and perform qualitative patient interviews to assess the reasons for and persistence of lifestyle changes after liver disease investigation. We hypothesize that stratification of liver disease in the community will unearth a significant amount of previously undetected but significant chronic liver disease. Moreover, we will evaluate whether stratification of liver disease using these tests predicts future liver and cardiovascular disease and death, and whether stratification has an impact on patient's future lifestyle choices.

Recruiting8 enrollment criteria
1...242526...135

Need Help? Contact our team!


We'll reach out to this number within 24 hrs