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Drug use trajectory patterns among older drug users
Miriam Boeri1, Thor Whalen, Benjamin Tyndall
1Kennesaw State University, Department of Sociology and Criminal Justice, Kennesaw GA, USA.
Substance Abuse and Rehabilitation
|July 12, 2011
Summary
New measures quantify changes in drug use trajectories over time. These transition counts, transition rates, and relapse/remission rates offer insights into individual patterns for better understanding and rehabilitation.
Area of Science:
- Addiction research
- Longitudinal data analysis
- Behavioral science
Background:
- Understanding drug use trajectories requires standardized measures of change.
- Previous research has lacked effective tools to quantify shifts in substance use over time.
Purpose of the Study:
- Introduce novel measures to quantify changes in drug use behaviors.
- Develop effective visualizations for applied use of drug use trajectories.
- Analyze transition patterns in drug use across the life course.
Main Methods:
- Retrospective longitudinal data collected annually from 92 older drug users (ages 45-65).
- Mixed-methods design incorporating life histories.
- Bayesian analysis and innovative computer graphics for modeling and visualization.
Main Results:
- Developed and introduced concepts of transition counts, transition rates, and relapse/remission rates.
- Utilized visualizations to depict discontinuous patterns in individual drug use trajectories.
- Demonstrated the utility of these measures for understanding diverse life course paths.
Conclusions:
- The presented mathematical techniques and visualizations provide a foundation for future Bayesian models of drug use.
- These measures offer a succinct view of individual drug use trajectories.
- Further development will incorporate contextual influences and predictive modeling for rehabilitation efforts.
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