Characteristics Associated With High-Intensity Binge Drinking in Alcohol Use Disorder

被引:5
作者
Gowin, Joshua L. [1 ,2 ]
Sloan, Matthew E. [3 ,4 ,5 ]
Morris, James K. [2 ]
Schwandt, Melanie L. [6 ,7 ]
Diazgranados, Nancy [6 ,7 ]
Ramchandani, Vijay A. [2 ]
机构
[1] Univ Colorado, Dept Radiol, Anschutz Med Campus, Aurora, CO 80045 USA
[2] NIAAA, Lab Human Psychopharmacol, Bethesda, MD 20892 USA
[3] Ctr Addict & Mental Hlth, Addict Div, Toronto, ON, Canada
[4] Campbell Family Mental Hlth Res Inst, Ctr Addict & Mental Hlth, Toronto, ON, Canada
[5] Univ Toronto, Dept Psychiat, Div Neurosci & Clin Translat, Toronto, ON, Canada
[6] Univ Toronto, Dept Pharmacol & Toxicol, Toronto, ON, Canada
[7] NIAAA, Off Clin Director, Bethesda, MD USA
来源
FRONTIERS IN PSYCHOLOGY | 2021年 / 12卷
关键词
binge alcohol consumption; elastic net; random forests; substance use and misuse; alcohol; DEPENDENCE; PREVALENCE; RELIABILITY; DEPRESSION; IMPACT; SCALE;
D O I
10.3389/fpsyg.2021.750395
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
High-intensity binge drinking, defined as consuming 2-3 times the level of a binge (4 or 5 drinks for women or men), increases the risks of overdose and alcohol-related cancer relative to lower levels of drinking. This study examined the relationship between high-intensity binge drinking and three domains hypothesized to contribute to alcohol use disorder (AUD): incentive salience, negative emotionality, and executive function. This cross-sectional study at the National Institute on Alcohol Abuse and Alcoholism examined 429 adults with AUD and 413 adults without a history of AUD. Drinking was assessed using the 90-day Timeline Followback interview. The AUD sample was divided into training and testing sets, and a machine learning model was generated in the training set and then applied to the testing set, to classify individuals based on if they had engaged in high-intensity binge drinking. We also conducted regression models for the following dependent variables: the presence of high-intensity binge drinking, frequency of high-intensity binge drinking, and number of drinks per of binge. Independent variables in these regression models were determined by variable selection from the machine learning algorithm and included time thinking about alcohol, depression rating, and positive urgency as representative variables for the three domains. These variables were assessed using self-report measures. The models were applied to the adults without a history of AUD to determine generalizability. The machine learning algorithm displayed reasonable accuracy when classifying individuals as high-intensity binge drinkers (area under ROC=0.74, 95% CI 0.67, 0.80). In adults with AUD, greater depression rating (OR=1.04, 95% CI 1.01, 1.070) and amount of time thinking about alcohol (OR=1.48, 95% CI 1.20, 1.91) were associated with greater likelihood of high-intensity binge drinking. They were also associated with greater frequency of high-intensity binge drinking days and greater number of drinks on binge occasions. Our findings suggest that incentive salience may contribute to high-intensity binge drinking in both controls and individuals with AUD. Negative emotionality was only associated with high-intensity binge drinking in individuals diagnosed with AUD, suggesting that it may be a consequence rather than a cause of high-intensity binge drinking.
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页数:11
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