Literature DB >> 33016306

Baseline Drinking Patterns in Non-Treatment Seeking Problem Drinkers.

Wave-Ananda Baskerville1, Steven J Nieto1, Diana Ho1, Brandon Towns1, Erica N Grodin1, Caesar Li2, Elizabeth Burnette1,3, Suzanna Donato1, Lara A Ray1,3,4.   

Abstract

AIMS: Natural processes of change have been documented in treatment-seekers who begin to reduce their drinking in anticipation of treatment. The study examined whether non-treatment-seeking problem drinkers would engage in drinking reduction in anticipation of participating in a research study.
METHODS: Non-treatment-seeking problem drinkers (n = 935) were culled from five behavioral pharmacology studies. Participants reported on their alcohol use during the past 30 days using the Timeline Followback. Cluster analysis identified distinct groups/clusters based on drinking patterns over the 30-day pre-visit period. The identified clusters were compared on demographic and clinical measures.
RESULTS: Three distinct clusters were identified (a) heavy-decreasing drinking group (n = 255, 27.27%); (b) a moderate-stable drinking group (n = 353, 37.75%) and (c) low-stable drinking group (n = 327, 34.97%). The three clusters differed significantly on a host of measures including pre-visit drinking (age at first drink, drinking days, drinks per week, drinks per drinking day), alcohol use severity, alcohol craving, readiness for change, depression and anxiety levels. These differences were alcohol dose-dependent such that the heavier drinking group reported the highest levels on all constructs, followed by the moderate group, and the low drinking group last.
CONCLUSIONS: Baseline drinking patterns of non-treatment-seekers were generally stable and pre-visit reductions were only observed among the heavy drinking group. This generally stable pattern stands in contrast to previous reports for treatment-seeking samples. Nevertheless, the heavier drinking group, which is most similar to treatment-seekers, displayed pre-study drinking reduction. Overall, naturalistic processes of change may pose less of a threat to randomization and testing in this population.
© The Author(s) 2020. Medical Council on Alcohol and Oxford University Press. All rights reserved.

Entities:  

Year:  2021        PMID: 33016306      PMCID: PMC7768624          DOI: 10.1093/alcalc/agaa098

Source DB:  PubMed          Journal:  Alcohol Alcohol        ISSN: 0735-0414            Impact factor:   2.826


  31 in total

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Journal:  Addiction       Date:  1993-06       Impact factor: 6.526

7.  Can assessment reactivity predict treatment outcome among adolescents with alcohol and other substance use disorders?

Authors:  Yifrah Kaminer; Joseph A Burleson; Rebecca Burke
Journal:  Subst Abus       Date:  2008       Impact factor: 3.716

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Journal:  BMC Public Health       Date:  2005-07-14       Impact factor: 3.295

10.  A robustness metric for biological data clustering algorithms.

Authors:  Yuping Lu; Charles A Phillips; Michael A Langston
Journal:  BMC Bioinformatics       Date:  2019-12-24       Impact factor: 3.169

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  4 in total

Review 1.  A Meta-Regression of Trial Features Predicting the Effects of Alcohol Use Disorder Pharmacotherapies on Drinking Outcomes in Randomized Clinical Trials: A Secondary Data Analysis.

Authors:  Erica N Grodin; Suzanna Donato; Han Du; ReJoyce Green; Spencer Bujarski; Lara A Ray
Journal:  Alcohol Alcohol       Date:  2022-09-10       Impact factor: 3.913

2.  Alcohol-related changes in behaviors and characteristics from the baseline to the randomization session for treatment and non-treatment seeking participants with alcohol use disorder.

Authors:  Kimberly Goodyear; Talia R Vasaturo-Kolodner; George A Kenna; Robert M Swift; Lorenzo Leggio; Carolina L Haass-Koffler
Journal:  Am J Drug Alcohol Abuse       Date:  2021-09-28       Impact factor: 3.829

3.  Lifetime heavy drinking years predict alcohol use disorder severity over and above current alcohol use.

Authors:  Steven J Nieto; Wave Baskerville; Suzanna Donato; Spencer Bujarski; Lara Ray
Journal:  Am J Drug Alcohol Abuse       Date:  2021-06-16       Impact factor: 3.912

4.  Initial Study on COMT and DRD2 Gene Polymorphisms as Well as the Influence of Temperament and Character Trait on the Severity of Alcohol Craving in Alcohol-Dependent Patients.

Authors:  Damian Czarnecki; Marcin Ziółkowski; Jan Chodkiewicz; Anna Długosz; Joanna Feldheim; Napoleon Waszkiewicz; Agnieszka Kułak-Bejda; Marta Gorzkiewicz; Jacek Budzyński; Anna Junkiert-Czarnecka; Agnieszka Siomek-Górecka; Krzysztof Nicpoń; Aleksandra Kawala-Sterniuk; Raffaele Ferri; Mariusz Pelc; Piotr Walecki; Ewa Laskowska; Edward Jacek Gorzelańczyk
Journal:  J Clin Med       Date:  2021-12-15       Impact factor: 4.241

  4 in total

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