Literature DB >> 3172785

Predictors of reduction and cessation of drinking in community-dwelling men: results from the normative aging study.

J A Hermos1, J S Locastro, R J Glynn, G R Bouchard, L O De Labry.   

Abstract

As part of a longitudinal study of health and aging, the conditions and motivational factors that prospectively predicted either cessation or reduction in alcohol consumption were compared. Data were from 1,517 community-dwelling men who in 1973 (Time 1) and 1982 (Time 2) completed mailed questionnaires about their drinking behaviors. Time 2 quitters (n = 62) had consumed no alcohol for at least the 6 months before that survey; reducers (n = 255) had decreased their yearly alcohol consumption by at least one-half. Compared to 971 controls, quitters reported more drinking problems at Time 1; reducers reported higher consumption at Time 1, which was the only factor predictive of subsequent reduction (p less than .001). Regression analyses considering contextual-motivational factors for drinking showed that at Time 1 quitters were less likely than controls to have consumed alcohol during evenings out (p = .008), in family-home settings (p = .013), or for salutary reasons (p = .084); conversely, they were more likely to have consumed alcohol to reduce negative affect (p = .011). Reducers cited more social-situational reasons for curtailing drinking; quitters cited more personal reasons related to health and alcohol effects. These findings indicate that in a community sample of men, problematic drinking behaviors tend to predict subsequent abstention rather than reduced drinking.

Entities:  

Mesh:

Year:  1988        PMID: 3172785     DOI: 10.15288/jsa.1988.49.363

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  4 in total

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Authors:  Jennifer R Mertens; Alan J Flisher; Derek D Satre; Constance M Weisner
Journal:  Drug Alcohol Depend       Date:  2008-06-20       Impact factor: 4.492

2.  Why do older unhealthy drinkers decide to make changes or not in their alcohol consumption? Data from the Healthy Living as You Age study.

Authors:  Jenna Borok; Peter Galier; Matteo Dinolfo; Sandra Welgreen; Marc Hoffing; James W Davis; Karina D Ramirez; Diana H Liao; Lingqi Tang; Mitch Karno; Paul Sacco; James C Lin; Alison A Moore
Journal:  J Am Geriatr Soc       Date:  2013-07-26       Impact factor: 5.562

3.  Predictors of and reasons for attempts to reduce alcohol intake: A population survey of adults in England.

Authors:  Emma Beard; Jamie Brown; Eileen Kaner; Robert West; Susan Michie
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

4.  Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.

Authors:  Mary R Lee; Vignesh Sankar; Aaron Hammer; William G Kennedy; Jennifer J Barb; Philip G McQueen; Lorenzo Leggio
Journal:  EClinicalMedicine       Date:  2019-06-17
  4 in total

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