Linked Life Data

15194201

Source:http://linkedlifedata.com/resource/pubmed/id/15194201

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2004-6-14
pubmed:abstractText
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0376-8716
pubmed:author
pubmed:issnType
Print
pubmed:day
11
pubmed:volume
74
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
235-44
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Dependent and problem drinking over 5 years: a latent class growth analysis.
pubmed:affiliation
Department of Psychiatry, University of California, San Francisco, CA 94143-0984, USA. kdelucc@itsa.ucsf.edu
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S.