Literature DB >> 15194201

Dependent and problem drinking over 5 years: a latent class growth analysis.

Kevin L Delucchi1, Helen Matzger, Constance Weisner.   

Abstract

Understanding the long-term course of problematic drinking is a fundamental concern for health services research in the alcohol field. The stability of, or change in, the course of drinking--especially heavy drinking--has both theoretical and applied relevance to alcohol research. We explore the application of latent class growth modeling to 5 years of survey data collected from dependent and problem drinkers--some not in treatment at baseline--in an attempt to uncover prototypical longitudinal drinking patterns. Results indicated that five profiles of drinkers can be used to represent their longitudinal course of alcohol consumption: early quitters (N = 88), light/non-drinkers (N = 76), gradual improvers (N = 129), moderate drinkers (N = 229), and heavy drinkers (N = 572). Significant baseline factors included ASI drug severity, dependence symptoms, and marital status. Attendance at AA meetings, the size of one's heavy drinking and drug using social network, past treatment, receiving suggestions about one's drinking, and contacts with the medical system were significant influences. The size of heavy drinking and drug using social networks was noticeably larger for the heavy drinkers. Findings also support the usefulness of a semi-parametric latent group-based approach as a tool for analyzing alcohol-related behaviors.

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Year:  2004        PMID: 15194201     DOI: 10.1016/j.drugalcdep.2003.12.014

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


  31 in total

1.  Alcohol screening and changes in problem drinking behaviors in medical care settings: a longitudinal perspective.

Authors:  Jason C Bond; Constance M Weisner; Kevin L Delucchi
Journal:  J Stud Alcohol Drugs       Date:  2011-05       Impact factor: 2.582

2.  Transitioning into and out of problem drinking across seven years.

Authors:  Kevin L Delucchi; Constance Weisner
Journal:  J Stud Alcohol Drugs       Date:  2010-03       Impact factor: 2.582

3.  Course of recovery from alcoholism.

Authors:  Kamilla L Venner; Helen Matzger; Alyssa A Forcehimes; Rudolf H Moos; Sarah W Feldstein; Mark L Willenbring; Constance Weisner
Journal:  Alcohol Clin Exp Res       Date:  2006-06       Impact factor: 3.455

4.  Drinking trajectories following an initial lapse.

Authors:  Katie Witkiewitz; Katherine E Masyn
Journal:  Psychol Addict Behav       Date:  2008-06

5.  Three-year changes in adult risk drinking behavior in relation to the course of alcohol-use disorders.

Authors:  Deborah A Dawson; Frederick S Stinson; S Patricia Chou; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2008-11       Impact factor: 2.582

6.  Independent and Interactive Effects of Neighborhood Disadvantage and Social Network Characteristics on Problem Drinking after Treatment.

Authors:  Amy A Mericle; Lee A Kaskutas; Doug L Polcin; Katherine J Karriker-Jaffe
Journal:  J Soc Clin Psychol       Date:  2018-01

7.  Identification of distinct depressive symptom trajectories in women following surgery for breast cancer.

Authors:  Laura B Dunn; Bruce A Cooper; John Neuhaus; Claudia West; Steven Paul; Bradley Aouizerat; Gary Abrams; Janet Edrington; Debby Hamolsky; Christine Miaskowski
Journal:  Health Psychol       Date:  2011-07-04       Impact factor: 4.267

8.  Formal and informal substance use treatment utilization and alcohol abstinence over seven years: is the relationship different for blacks and whites?

Authors:  Lyndsay Ammon Avalos; Nina Mulia
Journal:  Drug Alcohol Depend       Date:  2011-09-21       Impact factor: 4.492

9.  Trajectories of Body Dissatisfaction and Dietary Restriction in Early Adolescent Girls: A Latent Class Growth Analysis.

Authors:  Rachel F Rodgers; Siân A McLean; Mathew Marques; Candice J Dunstan; Susan J Paxton
Journal:  J Youth Adolesc       Date:  2015-09-19

10.  Multiple indicator hidden Markov model with an application to medical utilization data.

Authors:  Melanie M Wall; Ran Li
Journal:  Stat Med       Date:  2009-01-30       Impact factor: 2.373

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