Literature DB >> 28412302

Who benefits from computer-based brief alcohol intervention? Day-to-day drinking patterns as a moderator of intervention efficacy.

Sophie Baumann1, Beate Gaertner2, Katja Haberecht3, Gallus Bischof4, Ulrich John3, Jennis Freyer-Adam5.   

Abstract

OBJECTIVE: to test if people with different day-to-day drinking patterns benefitted differently from two brief alcohol interventions (BAIs).
METHODS: A total of 1243 job-seekers with at-risk alcohol use aged 18-64 years (64% men) were randomized to (a) intervention tailored to the motivational stage (ST), (b) non-stage tailored intervention (NST), or (c) assessment only (AO). ST and NST contained individualized computer-generated feedback letters. Follow-ups were conducted at months 3, 6, and 15. Using growth mixture models, day-to-day drinking patterns were identified based on the number of drinks consumed on each day in the week prior to baseline assessment. To test drinking pattern-specific intervention effects, zero-inflated growth models were used. Outcomes were (1) the 15-month change in the likelihood of any alcohol use and (2) the 15-month change in the total number of drinks per week when alcohol was consumed.
RESULTS: Four day-to-day drinking patterns were found: daily medium use (2-4 drinks/day; 47%), daily low use (1-2 drinks/day; 29%), weekend only use (18%), and no use (6%). Only persons with daily low use benefitted from intervention, with higher odds of being abstinent after 15 months in the ST group compared to AO (odds ratio, OR=1.67, p=0.001) and NST group (OR=1.43, p=0.035). ST worked better among persons with daily low use compared to daily medium use (OR=1.91, p=0.001).
CONCLUSIONS: Among at-risk drinking persons with regular low-quantity alcohol use, stage tailored BAIs may be superior over no BAI and non-stage tailored BAIs.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alcohol; Brief intervention; Computerized intervention; Drinking patterns; Growth mixture modeling; Stage tailored intervention

Mesh:

Year:  2017        PMID: 28412302     DOI: 10.1016/j.drugalcdep.2017.01.040

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  4 in total

1.  The ATTAIN Solution Tested: Initial Pilot Results of an Automated, Web-based Screening Tool for Unhealthy Drinking Behaviors.

Authors:  Jiseung Yoon; Emma Fredua; Shahriar B Davari; Mohamed H Ismail
Journal:  Perm J       Date:  2021-05

2.  Unhealthy Drinking Behavior and the ATTAIN Solution: Web-based Automated Alcohol Misuse Interventions.

Authors:  Jennifer Chevinsky; Emma Fredua; Ebonie M Vazquez; Mohamed H Ismail
Journal:  Perm J       Date:  2021-05

3.  Predictors of treatment response in a web-based intervention for cannabis users.

Authors:  Benjamin Jonas; Marc-Dennan Tensil; Fabian Leuschner; Evelin Strüber; Peter Tossmann
Journal:  Internet Interv       Date:  2019-07-26

Review 4.  Understanding How and Why Alcohol Interventions Prevent and Reduce Problematic Alcohol Consumption among Older Adults: A Systematic Review.

Authors:  Jogé Boumans; Dike van de Mheen; Rik Crutzen; Hans Dupont; Rob Bovens; Andrea Rozema
Journal:  Int J Environ Res Public Health       Date:  2022-03-08       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.