Measuring Alcohol Use-Related Shame and Guilt: Development and Validation of the Perceptions of Drinking Scale

2019 ◽  
Vol 55 (3) ◽  
pp. 441-451 ◽  
Author(s):  
Matt S. Treeby ◽  
Simon M. Rice ◽  
Michael Wilson ◽  
Catherine E. Prado ◽  
Raimondo Bruno
Keyword(s):  
Alcohol Use ◽  
Shame And Guilt ◽  
Development And Validation

scholarly journals Development and validation of the Body-Focused Shame and Guilt Scale

2016 ◽  
Vol 8 ◽  
pp. 9-20 ◽  
Author(s):  
Hilary Weingarden ◽  
Keith D. Renshaw ◽  
June P. Tangney ◽  
Sabine Wilhelm
Keyword(s):  
The Body ◽  
Shame And Guilt ◽  
Development And Validation

Development and validation of a virtual agent to screen tobacco and alcohol use disorders

2018 ◽  
Vol 193 ◽  
pp. 1-6 ◽  
Author(s):  
Marc Auriacombe ◽  
Sarah Moriceau ◽  
Fuschia Serre ◽  
Cécile Denis ◽  
Jean-Arthur Micoulaud-Franchi ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorders ◽  
Virtual Agent ◽  
Development And Validation

scholarly journals Deep Neural Network to Identify Patients with Alcohol Use Disorder

2021 ◽  
Author(s):  
Ali Ebrahimi ◽  
Uffe Kock Wiil ◽  
Marjan Mansourvar ◽  
Amin Naemi ◽  
Kjeld Andersen ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Deep Neural Network ◽  
Model Development ◽  
Categorical Variables ◽  
Learning Approaches ◽  
Validation Data ◽  
Imbalanced Classes ◽  
Fully Connected ◽  
Development And Validation

This paper presents an application of deep neural networks (DNN) to identify patients with Alcohol Use Disorder based on historical electronic health records. Our methodology consists of four stages including data collection, preprocessing, predictive model development, and validation. Data are collected from two sources and labeled into three classes including Normal, Hazardous, and Harmful drinkers. Moreover, problems such as imbalanced classes, noise, and categorical variables were handled. A four-layer fully-connected feedforward DNN architecture was designed and developed to predict Normal, Hazardous, and Harmful drinkers. Results show that our proposed method could successfully classify about 96%, 82%, and 89% of Normal, Hazardous, and Harmful drinkers, respectively, which is better than classical machine learning approaches.

scholarly journals Development and validation of a scale of attitudes towards alcohol, alcoholism and alcoholics

2008 ◽  
Vol 16 (5) ◽  
pp. 895-902 ◽  
Author(s):  
Divane de Vargas ◽  
Margarita Antonia Villar Luis
Keyword(s):  
Factor Analysis ◽  
Nursing Students ◽  
Alcohol Use ◽  
Interpersonal Relations ◽  
Preliminary Test ◽  
Alcoholic Beverages ◽  
Reliable Tool ◽  
The Face ◽  
Development And Validation ◽  
General Scale

The objective of this study was the construction and validation of a scale that would measure the attitudes towards alcohol, alcoholism and the alcoholic, called the Scale of Attitudes Towards Alcohol, Alcoholism and the Alcoholic. The face and content validations, as well as the factor analysis of the data obtained in a preliminary test with 144 nursing students resulted in a scale consisting of 96 items, divided into 5 factors: Attitudes towards the alcoholic person: care and interpersonal relations; Etiology; Disease; Repercussions deriving from alcohol use/abuse; Alcoholic beverages. The general scale presented a consistency level of 0.90. The resulting instrument is concluded to be a reliable tool to evaluate attitudes towards alcohol, alcoholism and alcohol addicts.

Are shame and guilt personality styles associated with different alcohol use-related outcome expectancies?

2021 ◽  
pp. 1-4
Author(s):  
Matt S. Treeby ◽  
Simon M. Rice ◽  
Michael J. Wilson ◽  
Simon F. Crowe ◽  
David Kealy ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Outcome Expectancies ◽  
Personality Styles ◽  
Shame And Guilt

18: Measuring Quality-of-Life after Surgery: Development and Validation of the Convalescence and Recovery Evaluation (CARE)

2007 ◽  
Vol 177 (4S) ◽  
pp. 7-7
Author(s):  
Brent K. Hollenbeck ◽  
J. Stuart Wolf ◽  
Rodney L. Dunn ◽  
Martin G. Sanda ◽  
David P. Wood ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Development And Validation

Alcohol Use May Reduce Arthritis Risk, Study Finds

2010 ◽  
Vol 41 (8) ◽  
pp. 8
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  
Alcohol Use
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