Alcoholism in Childhood and Youth

Madden, Thomas More

doi:10.1136/bmj.2.1234.358

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Psychological and medical scientists have studied the causes, correlates, and consequences of alcohol use for more than 150 years. Given the broad demographics of those who use alcohol, and the wide-ranging consequence of alcohol use, there have been specific research subdomains related to alcohol consumption in men, women, and children for nearly as long (Madden, 1884). These literatures reveal invaluable contributions detailing topics as broad as the demographics of alcohol use, the biological mechanisms of alcohol metabolism, and the acute and chronic psychological effects of alcohol intoxication.…”

Section: College Drinkingmentioning

confidence: 99%

Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.

Soyster¹,

Ashlock²,

Fisher³

2022

Psychology of Addictive Behaviors

View full text Add to dashboard Cite

Background and Aims: The specific factors driving alcohol consumption, craving, and wanting to drink, are likely different for different people. The present study sought to apply statistical classification methods to idiographic time series data in order to identify person-specific predictors of future drinking-relevant behavior, affect, and cognitions in a college student sample. Design: Participants were sent 8 mobile phone surveys per day for 15 days. Each survey assessed the number of drinks consumed since the previous survey, as well as positive affect, negative affect, alcohol craving, drinking expectancies, perceived alcohol consumption norms, impulsivity, and social and situational context. Each individual’s data were split into training and testing sets, so that trained models could be validated using person-specific out-of-sample data. Elastic net regularization was used to select a subset of a set of 40 variables to be used to predict either alcohol consumption, craving, or wanting to drink, forward in time. Setting: A west-coast university. Participants: Thirty-three university students who had consumed alcohol in their lifetime. Measurements: Mobile phone surveys. Findings: Averaging across participants, accurate out-of-sample predictions of future drinking were made 76% of the time. For craving, the mean out-of-sample R 2 value was .27. For wanting to drink, the mean out-of-sample R 2 value was .27. Conclusion: Using a person-specific constellation of psychosocial and temporal variables, it may be possible to accurately predict drinking behavior, affect, and cognitions before they occur.

show abstract

Section: College Drinkingmentioning

confidence: 99%

Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.

Soyster¹,

Ashlock²,

Fisher³

2022

Psychology of Addictive Behaviors

View full text Add to dashboard Cite

show abstract

“…162 In fact, such assortment has been one of the driving forces for the notion that subtypes of disorders need to be demarcated. In the same vein, the association of severe alcoholism with poverty has a long and visible history, 163,164 and analyses at the microenvironmental level have documented an association between neighborhood disadvantage and alcoholism rates. 165 The most common explanation of this has been that poverty, and the neighborhood structure in which it is embedded, drive the alcoholism (ie, a top-down explanation).…”

Section: Risk Aggregationmentioning

confidence: 99%

Early Developmental Processes and the Continuity of Risk for Underage Drinking and Problem Drinking

et al. 2008

View full text Add to dashboard Cite

Developmental pathways to underage drinking emerge before the second decade of life. Many scientists, however, as well as the general public, continue to focus on proximal influences surrounding the initiation of drinking in adolescence, such as social, behavioral, and genetic variables related to availability and ease of acquisition of the drug, social reinforcement for its use, and individual differences in drug responses. In the past 20 years, a considerable body of evidence has accumulated on the early (often much earlier than the time of the first drink) predictors and pathways of youthful alcohol use and abuse. These early developmental influences involve numerous risk, vulnerability, promotive, and protective processes. Some of these factors are not related directly to alcohol use, whereas others involve learning and expectancies about later drug use that are shaped by social experience. The salience of these factors (identifiable in early childhood) for understanding the course and development of adult alcohol and other drug use disorders is evident from the large and growing body of findings on their ability to predict adult clinical outcomes. This review summarizes the evidence on early pathways toward and away from underage drinking, with a particular focus on the risk and protective factors and the mediators and moderators of risk for underage drinking that become evident during the preschool and early school years. It is guided by a developmental perspective on the aggregation of risk and protection and examines the contributions of biological, psychological, and social processes within the context of normal development. Implications of this evidence for policy, intervention, and future research are discussed. S EVERAL BASIC THEMES provide guidance for developing a perspective on the timing, processes, and experiences in earlier life relevant to the acquisition, use, and problem use of alcohol. First, much of the causal structure underlying youthful alcohol use and abuse is not specific to alcohol and in particular is either directly or indirectly the result of the development of externalizing and internalizing behaviors. 1-3 Family history of antisocial behavior, child maltreatment, and other negative life experiences are well-established precursors of later alcohol problems and alcohol use disorders (AUDs). These predictors are nonspecific risks for alcohol involvement, because they also predict a broad array of other problematic outcomes, including problems of undercontrolled or dysregulated behavior such as conduct problems, impulsivity, attention problems, aggressiveness, antisocial personality disorder, and depressive spectrum disorders.Second, at the same time that children develop behavior problems not specific to alcohol, they acquire knowledge about the existence of alcohol as an object in the social environment. Learning about alcohol includes developing beliefs about alcohol on the basis of an awareness of its special characteristics as a drug (how it produces changes in cognitio...

show abstract

Physical Dependence on Alcohol in Youth

Vingilis¹,

Smart²

1981

Research Advances in Alcohol and Drug Problems

View full text Add to dashboard Cite

Alcoholism in Childhood and Youth

Cited by 3 publications

References 0 publications

Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.

Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.

Early Developmental Processes and the Continuity of Risk for Underage Drinking and Problem Drinking

Physical Dependence on Alcohol in Youth

Contact Info

Product

Resources

About