Variation in the Drinking Trajectories of Freshmen College Students

F. K. Del Boca, J. Darkes, P. E. Greenbaum, and M. S. Goldman (2004) examined temporal variations in drinking during the freshmen college year and the relationship of several risk factors to these variations. Here, using the same data, the authors investigate whether a single growth curve adequately...

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Bibliographic Details
Published in:Journal of consulting and clinical psychology 2005-04, Vol.73 (2), p.229-238
Main Authors: Greenbaum, Paul E, Boca, Frances K. Del, Darkes, Jack, Wang, Chen-Pin, Goldman, Mark S
Format: Article
Language:English
Subjects:
Addictive behaviors
Adolescent
Adolescents
Adult
Adult and adolescent clinical studies
Alcohol
Alcohol Abuse
Alcohol consumption
Alcohol Drinking - epidemiology
Alcohol Use
Alcoholism
Behavior Change
Biological and medical sciences
College Freshmen
College Students
Colleges
Drinking
Drinking patterns
Female
First year
Human
Humans
Male
Mass Screening - methods
Measures (Individuals)
Medical sciences
Predictor Variables
Prevalence
Prevention
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Risk
Risk assessment
Risk Factors
Student Behavior
Students
Students - statistics & numerical data
Surveys and Questionnaires
Universities
USA
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Summary:F. K. Del Boca, J. Darkes, P. E. Greenbaum, and M. S. Goldman (2004) examined temporal variations in drinking during the freshmen college year and the relationship of several risk factors to these variations. Here, using the same data, the authors investigate whether a single growth curve adequately characterizes the variability in individual drinking trajectories. Latent growth mixture modeling identified 5 drinking trajectory classes: light-stable, light-stable plus high holiday, medium-increasing, high-decreasing, and heavy-stable. In multivariate predictor analyses, gender (i.e., more women) and lower alcohol expectancies distinguished the light-stable class from other trajectories; only expectancies differentiated the high-decreasing from the heavy-stable and medium-increasing classes. These findings allow for improved identification of individuals at risk for developing problematic trajectories and for development of interventions tailored to specific drinker classes.
ISSN:0022-006X
1939-2117
DOI:10.1037/0022-006X.73.2.229