Short scales to assess cannabis-related problems: a review of psychometric properties.
paper
Cited
Public
- Authors
- Piontek, Daniela; Kraus, Ludwig; Klempova, Danica
- Year
- 2008
- Journal
- Substance abuse treatment, prevention, and policy
- PMID
- 19055741
- DOI
- 10.1186/1747-597X-3-25
- PMCID
- PMC2636780
AIMS: The purpose of this paper is to summarize the psychometric properties of four short screening scales to assess problematic forms of cannabis use: Severity of Dependence Scale (SDS), Cannabis Use Disorders Identification Test (CUDIT), Cannabis Abuse Screening Test (CAST) and Problematic Use of Marijuana (PUM). METHODS: A systematic computer-based literature search was conducted within the databases of PubMed, PsychINFO and Addiction Abstracts. A total of 12 publications reporting measures of reliability or validity were identified: 8 concerning SDS, 2 concerning CUDIT and one concerning CAST and PUM. Studies spanned adult and adolescent samples from general and specific user populations in a number of countries worldwide. RESULTS: All screening scales tended to have moderate to high internal consistency (Cronbach's alpha ranging from .72 to .92). Test-retest reliability and item total correlation have been reported for SDS with acceptable results. Results of validation studies varied depending on study population and standards used for validity assessment, but generally sensitivity, specificity and predictive power are satisfactory. Standard diagnostic cut-off points that can be generalized to different populations do not exist for any scale. CONCLUSION: Short screening scales to assess dependence and other problems related to the use of cannabis seem to be a time and cost saving opportunity to estimate overall prevalences of cannabis-related negative consequences and to identify at-risk persons prior to using more extensive diagnostic instruments. Nevertheless, further research is needed to assess the performance of the tests in different populations and in comparison to broader criteria of cannabis-related problems other than dependence.
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| Name | Type |
|---|---|
| acute consequences | phenotype |
| Acute effects local | phenotype |
| adolescent general population sample local | cohort |
| adolescents | cohort |
| adult general population sample local | cohort |
| adults | cohort |
| age | phenotype |
| age at first use | phenotype |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| Alcohol-dependent sample local | cohort |
| amount of cannabis use local | phenotype |
| amphetamines | drug |
| Australia | cohort |
| behavioural outcomes local | phenotype |
| benzodiazepines | drug |
| Brazil local | cohort |
| Cannabis Abuse Screening Test local | phenotype |
| cannabis dependence | phenotype |
| Cannabis harmful use local | phenotype |
| cannabis-related disorder local | phenotype |
| cannabis-related disorders local | phenotype |
| Cannabis-related functional impairment local | phenotype |
| cannabis related injury local | phenotype |
| cannabis-related problems | phenotype |
| cannabis use | phenotype |
| cannabis use disorder | phenotype |
| Cannabis Use Disorders Identification Test local | phenotype |
| cannabis users | phenotype |
| CAST local | phenotype |
| CAST score local | phenotype |
| Chronic health effects local | phenotype |
| clinical population | cohort |
| clinical setting local | cohort |
| cocaine | phenotype |
| consumption patterns | phenotype |
| CUDIT local | phenotype |
| Dependence symptoms | phenotype |
| depression | phenotype |
| drug dependence | phenotype |
| DSM-IV | phenotype |
| DSM-IV diagnosis of cannabis dependence local | phenotype |
| European population | cohort |
| France | cohort |
| frequency of alcohol use | phenotype |
| frequency of cannabis use local | phenotype |
| general population | cohort |
| general population samples | cohort |
| Germany | cohort |
| health problems | phenotype |
| heavy cannabis use | phenotype |
| high risk of abuse local | phenotype |
| ICD-10 | phenotype |
| Intensity of use local | phenotype |
| long-term cannabis dependence local | phenotype |
| Long-term cannabis users local | cohort |
| mental health impairment local | phenotype |
| mood disorders | phenotype |
| motivational aspects of cannabis use local | phenotype |
| New Zealand | cohort |
| opiates | drug |
| opioid dependence | phenotype |
| Out-patients with alcohol dependence local | cohort |
| physical health | phenotype |
| physical health impairment local | phenotype |
| Poland | cohort |
| probabilistic sample local | cohort |
| Problematic Use Measure local | phenotype |
| problem cannabis use | phenotype |
| problem cannabis users local | phenotype |
| Problem Oriented Screening Instrument for Teenagers local | phenotype |
| psychopathology | phenotype |
| psychosis | phenotype |
| psychosocial consequences local | phenotype |
| Psychosocial distress local | phenotype |
| psychosocial problems related to cannabis consumption local | phenotype |
| PUM local | phenotype |
| quantity of cannabis use local | phenotype |
| Regular cocaine users local | cohort |
| schizophrenia | phenotype |
| school problems | phenotype |
| SDS total score local | phenotype |
| Severity of Dependence Scale local | phenotype |
| sex | phenotype |
| Social level local | phenotype |
| social problems | phenotype |
| Spain | cohort |
| Steiner et al. study local | cohort |
| substance use | phenotype |
| substance use dependence local | phenotype |
| Switzerland | cohort |
| targeted sample of preselected cannabis users local | cohort |
| total duration of use local | phenotype |
| Treatment demands local | phenotype |
| Unstable health conditions local | phenotype |
| usual hours being stoned local | phenotype |
| Younger generations local | cohort |
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