ArticleTwin research and human genetics : the official journal of the International Society for Twin Studies2014
Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study.
Article in Twin research and human genetics : the official journal of the International Society for Twin Studies, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cannabis and Alcohol Use by U.S. Young Adults, 2008-2019: Changes in Prevalence After Recreational Cannabis Legalization.American journal of preventive medicine · 2023Article
- Patterns of COVID-19 related lifestyle disruptions and their associations with mental health outcomes among youth and young adults.Journal of mood and anxiety disorders · 2023Article
- Associations of polygenic risk scores for smoking heaviness and lifetime cannabis use with tobacco and cannabis co-use trajectories among African Americans.Drug and alcohol dependence · 2023Article
- The genetic aetiology of cannabis use: from twin models to genome-wide association studies and beyond.Translational psychiatry · 2022Review
- Cannabis use in college: Genetic predispositions, peers, and activity participation.Drug and alcohol dependence · 2021Article
- Cannabis use disorders among adults in the United States during a time of increasing use of cannabis.Drug and alcohol dependence · 2019Article
- Associations between personality disorders and cannabis use and cannabis use disorder: a population-based twin study.Addiction (Abingdon, England) · 2018Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Accumulating evidence suggests that the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic criteria for cannabis abuse and dependence are best represented by a single underlying factor. However, it remains possible that models with additional factors, or latent class models or hybrid models, may better explain the data. Using structured interviews, 626 adult male and female twins provided complete data on symptoms of cannabis abuse and dependence, plus a craving criterion. We compared latent factor analysis, latent class analysis, and factor mixture modeling using normal theory marginal maximum likelihood for ordinal data. Our aim was to derive a parsimonious, best-fitting cannabis use disorder (CUD) phenotype based on DSM-IV criteria and determine whether DSM-5 craving loads onto a general factor. When compared with latent class and mixture models, factor models provided a better fit to the data. When conditioned on initiation and cannabis use, the association between criteria for abuse, dependence, withdrawal, and craving were best explained by two correlated latent factors for males and females: a general risk factor to CUD and a factor capturing the symptoms of social and occupational impairment as a consequence of frequent use. Secondary analyses revealed a modest increase in the prevalence of DSM-5 CUD compared with DSM-IV cannabis abuse or dependence. It is concluded that, in addition to a general factor with loadings on cannabis use and symptoms of abuse, dependence, withdrawal, and craving, a second clinically relevant factor defined by features of social and occupational impairment was also found for frequent cannabis use.
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