Longitudinal Trajectory Modeling of Alcohol Use Based on Early-Life, Time-Stable Covariates

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dc.contributor.advisorBradshaw, Matt
dc.contributor.authorSieker, Jeremy
dc.contributor.departmentUniversity Scholars.en_US
dc.contributor.otherBaylor University.en_US
dc.contributor.schoolsHonors College.en_US
dc.date.accessioned2016-08-11T18:32:45Z
dc.date.available2016-08-11T18:32:45Z
dc.date.copyright2016-05
dc.date.issued2016-08-11
dc.description.abstractAlcohol and substance abuse (ASA), disorders, and addiction cause a great deal of damage to society through both health and social consequences. To understand and address these problems, it is imperative that we understand alcohol use patterns, including social and environmental factors that place individuals at risk for abuse or addiction across the life course, starting during childhood and adolescence. This study conducts a trajectory (latent class/profile) analysis to examine the trends and early origins of substance use patterns. To accomplish this goal, logistic maximum likelihood estimators are applied in a person-centered variable approach that separates individuals into distinct trajectory groups of alcohol use across adolescence and young adulthood. The optimized model for alcohol use, the primary dependent variable examined here, divides the sample into five distinct trajectory groups—high constant, increasing, mid peak, decreasing, and low constant. Logit group membership probabilities were determined to analyze which early-life factors are associated with relative probabilities of trajectory group membership. Overall trajectories were determined with n=4717 and independent variables had sample sizes ranging from n=3555 up to n=4717 based on variant refusal to answer questions on the part of the respondents. Key independent variables used in this portion of the analysis include: parental SES, quality/nature of familial interactions, family structure, social support networks, academics, stressful life events, early-life health, and psychological health.en_US
dc.identifier.urihttp://hdl.handle.net/2104/9771
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.subjectSociologyen_US
dc.subjectStatistical Modelingen_US
dc.subjectLatent Class Analysisen_US
dc.subjectAddictionen_US
dc.titleLongitudinal Trajectory Modeling of Alcohol Use Based on Early-Life, Time-Stable Covariatesen_US
dc.typeThesisen_US

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