The validity of DSM-IV cannabis abuse and dependence criteria in adolescents and the value of additional cannabis use indicators.
- Authors
- Piontek, Daniela; Kraus, Ludwig; Legleye, Stéphane; Bühringer, Gerhard
- Year
- 2011
- Journal
- Addiction (Abingdon, England)
- PMID
- 21205060
- DOI
- 10.1111/j.1360-0443.2010.03359.x
AIMS: This study assessed the validity of DSM-IV cannabis abuse and dependence criteria in an adolescent general population sample and evaluated the usefulness of additional cannabis use indicators. DESIGN AND SETTING: Data came from the 2008 Survey on Health and Consumption during the Day of Defense Preparation (ESCAPAD), a cross-sectional self-administered survey conducted in France. PARTICIPANTS: The analytical sample comprised 3641 adolescents aged 17-19 years who reported cannabis use in the past 12 months. MEASUREMENTS: To assess DSM-IV criteria of cannabis abuse and dependence, the Munich Composite International Diagnostic Interview (M-CIDI) was used. As additional cannabis use indicators, daily use, use when alone and use before midday were assessed. Confirmatory factor analyses and two-parameter logistic item response theory (IRT) models were run. Differential item functioning was assessed using the IRT log-likelihood ratio approach. RESULTS: A one-factor model comprising both abuse and dependence criteria showed the best fit to the data. Abuse item legal problems showed the greatest severity, whereas dependence items larger/longer and tolerance were found least severe. Discriminatory power was lowest for impaired control and legal problems. Additional cannabis use indicators increased the precision of the overall DSM-IV criterion set. Gender-based differential item functioning was observed for items tolerance, withdrawal and use before midday. CONCLUSION: The current DSM conceptualization with two distinct and graded diagnostic classes has limited validity among adolescents. In forthcoming revisions of the classification system, several existing criteria should be revised or dropped, new indicators of substance use disorders should be included and gender should be considered.
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| Predictive validity of cannabis consumption measures: Results from a national longitudinal study. | Buu A et al. | — | 2017 | → |
| The Cannabis Abuse Screening Test (CAST) revisited: examining measurement invariance by age. | Sznitman SR | — | 2017 | → |
| Cannabis withdrawal and sleep: A systematic review of human studies. | Gates P et al. | — | 2016 | → |
| Commonalities and Differences Across Substance Use Disorders: Phenomenological and Epidemiological Aspects. | Shmulewitz D et al. | — | 2015 | → |
| Functioning of cannabis abuse and dependence criteria across two different countries: the United States and The Netherlands. | Delforterie M et al. | — | 2015 | → |
| Latent class analysis of DSM-5 criteria for opioid use disorders: results from the Iranian National Survey on Mental Health. | Tarrahi MJ et al. | — | 2015 | → |
| Properties of the Cannabis Abuse Screening Test (CAST) in the general population. | Legleye S et al. | — | 2015 | → |
| DSM-5 cannabis use disorder: a phenotypic and genomic perspective. | Agrawal A et al. | — | 2014 | → |
| Effectiveness of A-CRA/ACC in treating adolescents with cannabis-use disorders. | McGarvey EL et al. | — | 2014 | → |
| Psychometric properties of the Cannabis Abuse Screening Test in Hungarian samples of adolescents and young adults. | Gyepesi A et al. | — | 2014 | → |
| The prevalence of cannabis withdrawal and its influence on adolescents' treatment response and outcomes: a 12-month prospective investigation. | Greene MC et al. | — | 2014 | → |
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| Contributions of ethnicity to differential item functioning of cannabis abuse and dependence symptoms. | Gizer IR et al. | — | 2013 | → |
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