Swipe om te navigeren naar een ander artikel
Nonmedical Prescription Drug Use (NMPDU) is a growing issue world-wide. Previously, NMPDU comorbidity has been investigated using bivariate approaches, providing a piecemeal understanding of NMPDU’s relationship to other mental disorders. We investigate how NMPDU fits within the multivariate meta-structure of psychiatric comorbidity and how this might vary as a function of gender. Data were collected as part of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) in 2001–2002 on 43,093 individuals 18 years or older living in the US. The Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-IV version IV (AUDADIS-IV) assessed psychiatric diagnoses and sedative, tranquilizer, opioid, and amphetamine NMPDU. Using confirmatory factor analysis, NMPDU was introduced into the internalizing-externalizing model of common mental disorders to determine where it best fits. Models were examined separately for men and women and tested for gender invariance. NMPDU was strongly associated with the externalizing factor, and also showed a very small secondary association with the fear subfactor of internalizing. This structure was gender invariant. Differences between men and women’s prevalence rates originate at the level of the latent factors. Results indicate a shared liability to NMPDU and other forms of externalizing psychopathology such as other substance use disorders, as well as antisocial behaviors. Research on NMPDU can benefit from focusing on the externalizing factor, aiming to understand how risk factors for diverse externalizing disorders may also manifest as NMPDU. Prescribers should be particularly attentive to the presence of the entire spectrum of externalizing disorders, as they may signal risk for NMPDU.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Altman, D. G. (1991). Practical statistics for medical research. London: Chapman and Hall.
Centers for Disease Control and Prevention (CDC). (2012). CDC grand rounds: prescription drug overdoses—a U.S. epidemic. Morbidity and Mortality Weekly Report, 61, 10–13.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. CrossRef
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. CrossRef
Huang, B., Dawson, D. A., Stinson, F. S., Hasin, D. S., Ruan, W. J., Saha, T. D., et al. (2006). Prevalence, correlates, and comorbidity of nonmedical prescription drug use and drug use disorders in the United States: results of the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry, 67, 1062–1073. PubMedCrossRef
Jamison, R. N., Butler, S. F., Budman, S. H., Edwards, R. R., & Wasan, A. D. (2010). Gender differences in risk factors for aberrant prescription opioid use. The Journal of Pain: Official Journal of the American Pain Society, 11, 312–20. CrossRef
Martins, S., Fenton, M., Keyes, K. M., Blanco, C., Zhu, H., & Storr, C. L. (2012). Mood/Anxiety disorders and their association with non-medical prescription opioid use and prescription opioid use disorder: longitudinal evidence from the National Epidemiologic Study on Alcohol and Related Conditions. Psychological Medicine, 42, 1261–1272.
Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide (5th ed.). Los Angeles: Muthén & Muthén.
Substance Abuse and Mental Health Services Administration, Office of Applied Studies. (2008). Results from the 2007 National Survey on Drug Use and Health: National Findings, appendix G. Rockville: US Department of Health and Human Services.
- Nonmedical Prescription Drug Use Comorbidity: Developing a Cohesive Risk Model
Robert F. Krueger
Nicholas R. Eaton
Katherine M. Keyes
Andrew E. Skodol
Bridget F. Grant
Deborah S. Hasin
- Springer US
Journal of Psychopathology and Behavioral Assessment
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505