scholarly journals Causal Network Modeling of the Determinants of Drinking Behavior in Comorbid Alcohol Use and Anxiety Disorder

2018 ◽  
Vol 43 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Justin J. Anker ◽  
Erich Kummerfeld ◽  
Alexander Rix ◽  
Scott J. Burwell ◽  
Matt G. Kushner
Keyword(s):  
Anxiety Disorder ◽  
Alcohol Use ◽  
Network Modeling ◽  
Drinking Behavior ◽  
Causal Network

Alcohol use in daily life: Examining the role of trait and state impulsivity facets

2020 ◽  
Author(s):  
Sarah A Griffin ◽  
Timothy J Trull
Keyword(s):  
Alcohol Use ◽  
Sensation Seeking ◽  
Daily Life ◽  
Drinking Behavior ◽  
Cross Sectional ◽  
Trait Level ◽  
Trait Impulsivity ◽  
Drinking Behaviors ◽  
Ecological Momentary

Objectives: Using Ecological Momentary Assessment methods (EMA) we aimed to investigate the influence of trait and state (momentary) impulsivity on alcohol use behaviors in daily life. Facets of the UPPS trait model of impulsivity (Whiteside and Lynam, 2001) have been found to differentially relate to alcohol-related outcomes and behaviors in cross-sectional and longitudinal studies. The present work expands on this by assessing UPPS facets in daily life and examining the contributions of trait and state impulsivity facets to daily life drinking behavior. Methods: 49 participants were prompted at least six times per day for 21 days. A total of 4,548 collected EMA reports were included in analyses. Multi-level models were computed predicting daily life alcohol use behaviors from state and trait impulsivity facets and relevant covariates. Results: Individual facets of momentary impulsivity differentially related to alcohol outcomes, such that (lack of) premeditation and, to a lesser extent, sensation seeking showed unique patterns of association with drinking and drinking quantity. Only trait levels of (lack of) premeditation were related to drinking behavior in daily life; no other trait UPPS scale significantly related to alcohol use. Conclusions: These results highlight state difficulties with premeditation as particularly relevant to drinking behavior in daily life. Our results also support the incremental validity of state impulsivity facets over trait level measures in relation to drinking behavior in daily life. These findings offer important insight into the phenomenology of daily-life alcohol use and highlight possible avenues for intervention and prevention efforts. Public Health Statement: Momentary fluctuations in premeditation predict alcohol use in daily life. Treatments targeting planning or forethought in relation to alcohol use may interrupt this process contributing to daily life drinking behaviors.

Rethinking the Alcohol Problem: A Natural Processes Model

1984 ◽  
Vol 14 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Harold A. Mulford
Keyword(s):  
Alcohol Use ◽  
Alcohol Abuse ◽  
Drinking Behavior ◽  
Alcohol Problem ◽  
Social Psychological ◽  
Rehabilitation Process ◽  
Natural Processes ◽  
Traditional Notion ◽  
Way Of Thinking ◽  
Single Set

A multivariate natural processes model for thinking about alcohol use and abuse is offered as an alternative to the traditional static-entity, single-cause way of thinking that historically generated a series of formal institutional attacks on different supposed causes of alcohol abuse, but which failed to solve the alcohol problem. The work seeks a model that better fits what is known about the alcohol problem, and one that leads to more effective informal constraints on alcohol abuse. Alcoholics are viewed as being at some stage of an alcoholic process, a rehabilitation process, a labeling process, a clinicalization process and a dissocialization process. This way of thinking challenges the traditional notion that alcoholics are all-of-a-kind entities and that there is a single cause, or even a single set of causes, that account for the drinking of all alcoholics, or that explains the drinking of the same person at different times. Rather, it directs us to consider the dynamics of the changing combinations of interacting social, psychological and physiological forces influencing a person's drinking behavior as he progresses in the several processes.

scholarly journals Alcohol Use Disorder among Patients Suffered from Road Collisions in a Vietnamese Delta Province

2019 ◽  
Vol 16 (13) ◽  
pp. 2423 ◽  
Author(s):  
Hai Minh Vu ◽  
Tung Thanh Tran ◽  
Giang Thu Vu ◽  
Cuong Tat Nguyen ◽  
Chau Minh Nguyen ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Drinking Behavior ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Problematic Drinking ◽  
Current Context ◽  
Educational Campaign ◽  
Causes Of Deaths ◽  
The Relationship

Traffic collisions have continuously been ranked amongst the top causes of deaths in Vietnam. In particular, drinking has been recognized as a major factor amplifying the likelihood of traffic collisions in various settings. This study aims to examine the relationship between alcohol use and traffic collisions in the current context of Vietnam. A cross-sectional study was conducted on 413 traffic collisions patients in six health facilities in the Thai Binh Province to investigate the level of alcohol consumption and identify factors influencing alcohol use among these patients. The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) scale was used to determine the problematic drinking behavior of the participants. The percentage of patients having problematic drinking was more than 30%. Being male, having a high household income, and working as farmer/worker were risk factors for alcohol abuse. People causing accidents and patients with a traumatic brain injury had a higher likelihood of drinking alcohol before the accidents. This study highlights the necessity of more stringent laws on reducing drink-driving in Vietnam. In addition, more interventions, especially those utilizing mass media like educational campaign of good behavior on social networks, are necessary to reduce alcohol consumption in targeted populations in order to decrease the prevalence and burden of road injuries.

scholarly journals The Truth About Alcohol and Health

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
James McIntosh
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Health Service ◽  
Service Utilization ◽  
Health Service Utilization ◽  
Drinking Behavior ◽  
Health It ◽  
Standard Drink ◽  
Individual Health ◽  
Reported Health

The paper discussed here claimed that the old guidelines for safe alcohol consumption should be replaced by much lower ones of about one standard drink per day. However the paper suffers from some statistical problems which lead to misleading results. In addition, by concentrating on mortality and older members of the population it fails to account for important aspects of the effect of alcohol use on individual health. It is shown when the effects of alcohol use on self-reported health and health service utilization are considered what has been traditionally been proposed as safe drinking behavior should continue to be used.

scholarly journals Behavioural cue reactivity to alcohol and non-alcohol-related stimuli among individuals with severe alcohol use disorder: an fMRI study with a visual task

2020 ◽  
Author(s):  
Shou Fukushima ◽  
Hironori Kuga ◽  
Naoya Oribe ◽  
Takeo Mutou ◽  
Takefumi Yuzuriha ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Brain Activity ◽  
Cue Reactivity ◽  
Drinking Behavior ◽  
Significant Negative Correlation ◽  
Blood Oxygen Level Dependent ◽  
Posterior Cingulate Cortex ◽  
Alcoholic Beverages ◽  
Bold Responses

AbstractPatients with alcohol use disorder (AUD) have difficulties controlling alcohol cravings and thus exhibit increased use and earlier relapse. Although patients tend to respond more strongly to alcohol-related images compared with non-alcohol-related images, few researchers examined the factors that modulate cravings. Here, we examined whole-brain blood oxygen level-dependent (BOLD) responses to behavioural cues in individuals with AUD and healthy controls (HCs). The participants included 24 patients with severe AUD and 15 HCs. We presented four beverage images (juice, drinking juice, sake, and drinking sake) and compared participant BOLD responses between the two groups. Multiple comparisons revealed that the AUD group had lower BOLD responses compared with the HC group to images of drinking juice in the left precuneus (p = 0.036) and the left posterior cingulate cortex (PCC) (p = 0.044) and higher BOLD responses to images of drinking sake in the left PCC (p = 0.044). Furthermore, compared to the HCs, the AUD patients had decreased BOLD responses associated with cue reactivity to drinking juice in the left precuneus during the period from 15 to 18 s (p = 0.004, df = 37) and 18 to 21 s (p = 0.002, df = 37). Using the Spearman correlation, we found a significant negative correlation between BOLD responses in the left PCC of the AUD patients and Mini–Mental State Examination (MMSE) scores (r = −0.619, p = 0.001). Our findings suggest that HCs and severe AUD patients differ in their responses not to images of alcoholic beverages but those related to alcohol drinking behavior. Thus, these patients appear to have different patterns of brain activity. This information may aid clinicians in developing treatments for patients with AUD.

Gender Differences in Collegiate Alcohol Use

1995 ◽  
Vol 25 (4) ◽  
pp. 817-836 ◽  
Author(s):  
Celia C. Lo
Keyword(s):  
Alcohol Use ◽  
Drinking Behavior ◽  
Female College Students ◽  
Deep South ◽  
State University ◽  
Social Mechanisms ◽  
The Social ◽  
Main Factors ◽  
Gender Groups ◽  
Peer Drinking

Using a survey of 808 male and female college students at a medium-sized state university in the Deep South, this study compared the drinking behavior of, and the social mechanisms leading to alcohol use, in the two gender groups. The results show that males are more likely than females to drink to intoxication. Three main factors can account for this difference. First, males are more likely than females to be associated with others who present prodrinking norms and drinking models. Second, females are more likely to be affected by their parents, and association with parents' more restrictive norms results in less favorable alcohol-use definitions among females, and, in turn, a lower level of alcohol use. Third, peer drinking norms, which are more permissive, exert a stronger impact on male definitions of alcohol use and level of intoxication than on female definitions.

The impact of alcohol use disorders and alcohol consumption on treatment-seeking individuals with social anxiety disorder

2021 ◽  
Vol 85 (2) ◽  
pp. 100-122
Author(s):  
Mirjana Subotic-Kerry ◽  
Andrew J. Baillie ◽  
Lexine A. Stapinski ◽  
Maree J. Abbott ◽  
Jo MacDonald ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Social Anxiety Disorder ◽  
Alcohol Use Disorders ◽  
Anxiety Symptoms ◽  
Social Situations ◽  
Low Incidence ◽  
The Impact

Comorbid social anxiety and alcohol use disorders (SAD-AUD) in the community and the complex interactions that occur between these disorders have emerged as a significant clinical, public health, and research issue. The authors examined (a) the rates of comorbid SAD-AUD, (b) the impact of comorbid SAD-AUD on outcomes targeting social anxiety disorder, and (c) the effect of pretreatment alcohol consumption and alcohol use before, during, and after social situations on a composite measure of social anxiety in 172 adults presenting with social anxiety disorder. There was low incidence of AUD in this sample of individuals with SAD. Results indicated that alcohol consumption did not lead to worse social anxiety symptoms; however, alcohol use before and during social situations was associated with more severe social anxiety symptoms. These findings suggest that the function of alcohol use may be more important than the overall level of alcohol use and has implications for treatment.

32.1 Machine Learning and Causal Network Modeling for Research on PTSD and Suicide

2018 ◽  
Vol 57 (10) ◽  
pp. S319
Author(s):  
Glenn N. Saxe ◽  
Sisi Ma ◽  
Leah J. Morales ◽  
Constantin Aliferis
Keyword(s):  
Machine Learning ◽  
Network Modeling ◽  
Causal Network
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