Literature DB >> 34582281

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.

Kimberly Goodyear1,2,3, Talia R Vasaturo-Kolodner1,4, George A Kenna2, Robert M Swift2,5, Lorenzo Leggio1,3,5,6,7,8, Carolina L Haass-Koffler1,2,3.   

Abstract

BACKGROUND: Participants who are enrolled in randomized controlled trials (RCTs) may be more motivated to change their behaviors after being enrolled in a study and that motivation may vary by treatment status.
OBJECTIVES: The objectives of this secondary analysis were to investigate if changes in alcohol-related behaviors/characteristics from the baseline to the randomization session differed overall and to assess those differences between non-treatment and treatment seeking individuals with alcohol use disorder (AUD).
METHODS: Our sample included participants from eight RCTs conducted at Brown University (N = 281, 34% female). To assess differences across alcohol-related behaviors/characteristics, we investigated changes in craving (obsessive compulsive drinking scale) and alcohol drinking (percent abstinent days, drinks per week (DPW) and percent heavy drinking days (HDD)) overall and between treatment status.
RESULTS: Results showed that there were baseline differences, such as increased AUD severity and craving for alcohol in treatment seeking participants (p's < .05) in the overall sample. Next, we showed that craving, DPW and HDD decreased and percent abstinent days increased from baseline to randomization (p's < .05). When controlling for treatment status and sociodemographic characteristics, treatment seeking, compared to non-treatment seeking participants, had a greater reduction in alcohol craving (p < .001) and a greater increase in percentage of drinking days (p < .01).
CONCLUSIONS: These findings demonstrated that alcohol-related behaviors and characteristics changed after enrollment. Severity, craving and drinking behaviors also differed between treatment-seeking status, which can potentially impact medication development stages for AUD such as clinical trial eligibility, enrollment and study outcomes.

Entities:  

Keywords:  Treatment seekers; alcohol use disorder; baseline; motivation; non-treatment seekers; randomization; session

Mesh:

Year:  2021        PMID: 34582281      PMCID: PMC8711071          DOI: 10.1080/00952990.2021.1961799

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  28 in total

1.  The DSM-5: Classification and criteria changes.

Authors:  Darrel A Regier; Emily A Kuhl; David J Kupfer
Journal:  World Psychiatry       Date:  2013-06       Impact factor: 49.548

Review 2.  Role of expectations in health.

Authors:  Luana Colloca; Franklin G Miller
Journal:  Curr Opin Psychiatry       Date:  2011-03       Impact factor: 4.741

3.  Comparing alcohol cue-reactivity in treatment-seekers versus non-treatment-seekers with alcohol use disorder.

Authors:  Alexandra Venegas; Lara A Ray
Journal:  Am J Drug Alcohol Abuse       Date:  2019-07-11       Impact factor: 3.829

4.  Differences between treatment-seeking and non-treatment-seeking participants in medication studies for alcoholism: do they matter?

Authors:  Lara A Ray; Spencer Bujarski; Megan M Yardley; Daniel J O Roche; Emily E Hartwell
Journal:  Am J Drug Alcohol Abuse       Date:  2017-04-20       Impact factor: 3.829

5.  Pretreatment alcohol drinking goals are associated with treatment outcomes.

Authors:  Kelly E Dunn; Eric C Strain
Journal:  Alcohol Clin Exp Res       Date:  2013-06-25       Impact factor: 3.455

6.  Alcohol dependence syndrome: measurement and validation.

Authors:  H A Skinner; B A Allen
Journal:  J Abnorm Psychol       Date:  1982-06

7.  Women's motivators for seeking treatment for alcohol use disorders.

Authors:  Justine A Grosso; Elizabeth E Epstein; Barbara S McCrady; Ayorkor Gaba; Sharon Cook; Lindsey M Backer-Fulghum; Fiona S Graff
Journal:  Addict Behav       Date:  2013-02-19       Impact factor: 3.913

8.  The obsessive compulsive drinking scale: A new method of assessing outcome in alcoholism treatment studies.

Authors:  R F Anton; D H Moak; P K Latham
Journal:  Arch Gen Psychiatry       Date:  1996-03

9.  Educational attainment impacts drinking behaviors and risk for alcohol dependence: results from a two-sample Mendelian randomization study with ~780,000 participants.

Authors:  Daniel B Rosoff; Toni-Kim Clarke; Mark J Adams; Andrew M McIntosh; George Davey Smith; Jeesun Jung; Falk W Lohoff
Journal:  Mol Psychiatry       Date:  2019-10-25       Impact factor: 15.992

Review 10.  A Critical Review of Alcohol Administration Guidelines in Laboratory Medication Screening Research: Is It Time to Include Treatment Seekers?

Authors:  Walter Roberts; Terril L Verplaetse; Vijay A Ramchandani; Sherry A McKee
Journal:  Alcohol Clin Exp Res       Date:  2020-12-20       Impact factor: 3.928

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