scholarly journals Patterns of Alcohol Consumption and Related Behaviour in Great Britain: A Latent Class Analysis of the Alcohol Use Disorder Identification Test (AUDIT)

2008 ◽  
Vol 43 (5) ◽  
pp. 590-594 ◽  
Author(s):  
G. W. Smith ◽  
M. Shevlin
Keyword(s):  
Great Britain ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Alcohol Use Disorder ◽  
Latent Class ◽  
Class Analysis ◽  
Identification Test ◽  
Disorder Identification

scholarly journals A latent class analysis of alcohol and posttraumatic stress symptoms among offspring of parents with and without alcohol use disorder

2021 ◽  
Vol 112 ◽  
pp. 106640
Author(s):  
Annah K. Bender ◽  
Jacquelyn L. Meyers ◽  
Stacey Subbie-Saenz di Viteri ◽  
Marc Schuckit ◽  
Grace Chan ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Latent Class Analysis ◽  
Posttraumatic Stress ◽  
Alcohol Use Disorder ◽  
Latent Class ◽  
Posttraumatic Stress Symptoms ◽  
Class Analysis ◽  
Stress Symptoms

scholarly journals Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis. The Norwegian WIRUS screening study.

2019 ◽  
Author(s):  
Jens Christoffer Skogen ◽  
Tormod Bøe ◽  
Mikkel Magnus Thørrisen ◽  
Heleen Riper ◽  
Randi Wågø Aas
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Full Time ◽  
Response Patterns ◽  
Class Analysis ◽  
Negative Consequences ◽  
Potential Problems ◽  
Low Probability

Abstract Background: For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges – the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the ‘alcohol harm paradox’. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods: Employing data from the ongoing cross-sectional WIRUS-study, N=4,311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results: We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions: Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Further, our related the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.

Nurse-Led Delivery of Brief Interventions for At-Risk Alcohol Use: An Integrative Review

2019 ◽  
Vol 26 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Yovan Gonzalez ◽  
Sharon L. Kozachik ◽  
Bryan R. Hansen ◽  
Michael Sanchez ◽  
Deborah S. Finnell
Keyword(s):  
At Risk ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Alcohol Screening ◽  
Brief Interventions ◽  
Randomized Control Trials ◽  
Identification Test ◽  
Disorder Identification ◽  
Randomized Control

BACKGROUND: Nurses are in key positions to reduce the global burden associated with alcohol, yet many are ill-prepared to screen for alcohol use and intervene accordingly. The purpose of this integrative review was to identify best practices for educating nurses to work with patients who are at risk for alcohol-related adverse consequences, implement alcohol screening, and deliver alcohol brief interventions (ABIs). AIMS: To identify and synthesize findings from randomized control trials of ABIs delivered by nurses to patients identified through screening to be at risk because of alcohol use. METHOD: The results of 11 published randomized control trials identified from a multi-database search were synthesized. RESULTS: The Alcohol Use Disorder Identification Test was used for alcohol screening in more than half of the studies. Most of the ABIs were based on motivational interviewing and delivered in 30 minutes or less. While there was limited information on the characteristics of nurses who delivered the interventions and how nurses were prepared to deliver the ABIs, the exemplar was a full day workshop teaching nurses on an evidence-based framework for the ABI. All studies measured alcohol consumption as an outcome, yet few used rigorous methods for obtaining this self-reported data. CONCLUSIONS: A 1-day workshop is recommended as an educational modality to prepare nurses to implement the Alcohol Use Disorder Identification Test for identification of persons who are at risk because of alcohol use, deliver a structured brief intervention in less than 30 minutes, and utilize a standard measure of alcohol consumption for evaluation.

scholarly journals Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jens Christoffer Skogen ◽  
Tormod Bøe ◽  
Mikkel Magnus Thørrisen ◽  
Heleen Riper ◽  
Randi Wågø Aas
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Full Time ◽  
Response Patterns ◽  
Class Analysis ◽  
Negative Consequences ◽  
Potential Problems ◽  
Low Probability

Abstract Background For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges – the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the ‘alcohol harm paradox’. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods Employing data from the ongoing cross-sectional WIRUS-study, N = 4311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.

scholarly journals Prevalence and pattern of alcohol consumption using alcohol use disorder identification test among students at a medicalcollege in Goa, India

2018 ◽  
Vol 5 (7) ◽  
pp. 2935 ◽  
Author(s):  
Yash Jairam Verenkar ◽  
Frederick Satiro Vaz
Keyword(s):  
Social Issue ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Peer Pressure ◽  
Consumption Pattern ◽  
Cross Sectional ◽  
Medical College ◽  
Identification Test ◽  
Disorder Identification

Background: Alcohol use is a complex health and social issue, especially in developing countries like India and in particular the western Indian state of Goa moreover, adolescents are usually more vulnerable to alcohol-related harm from a same volume of alcohol compared to other age group individuals.Methods: A cross-sectional design was conducted over a period of two months in Goa medical college, Goa. Students pursuing the MBBS Course in all semesters for the academic year 2015-16 were the study partici pants. Data was collected by interviewing the students. The pre-tested structured questionnaire used to collect the data. Alcohol consumption pattern was assessed using alcohol use disorder identification test (AUDIT). Approval was obtained from the Institutional Ethics Committee of the Medical College. Informed written consent was obtained from the participant prior to the interview. SPSS Software Package was used for statistical analysis.Results: Prevalence of alcohol consumption was found to be 39.4%. Prevalence among females was higher (40.6%) compared to Males (38%). Among the alcohol consumers 82.3% were light drinkers (AUDIT <8) while 17.7% were identified as heavy drinkers. Hazardous alcohol consumption was identified in 46.7% of alcohol consumers. 20.9% of alcohol consumers showed signs of alcohol dependence.Conclusions: Awareness of ill effects of alcohol consumption, counselling to deal with stress related to studies, negotiating peer pressure etc. need to be the possible solutions to address this health and social issue of alcohol use among young adults.

scholarly journals Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis. The Norwegian WIRUS screening study.

2019 ◽  
Author(s):  
Jens Christoffer Skogen ◽  
Tormod Bøe ◽  
Mikkel Magnus Thørrisen ◽  
Heleen Riper ◽  
Randi Wågø Aas
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Full Time ◽  
Response Patterns ◽  
Class Analysis ◽  
Negative Consequences ◽  
Potential Problems ◽  
Low Probability

Abstract Background: For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges – the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the ‘alcohol harm paradox’. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods: Employing data from the ongoing cross-sectional WIRUS-study, N=4,311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results: We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions: Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Further, our related the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.

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