Probability and correlates of transition from cannabis use to DSM‐5 cannabis use disorder: Results from a large‐scale nationally representative study

2020 ◽  
Vol 39 (2) ◽  
pp. 142-151 ◽  
Author(s):  
Daniel Feingold ◽  
Ofir Livne ◽  
Jürgen Rehm ◽  
Shaul Lev‐Ran
Keyword(s):  
Large Scale ◽  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Dsm 5 ◽  
Representative Study ◽  
Nationally Representative

scholarly journals Associations of PTSD, chronic pain, and their comorbidity on cannabis use disorder: Results from an American nationally representative study

2019 ◽  
Vol 36 (11) ◽  
pp. 1036-1046 ◽  
Author(s):  
Elena Bilevicius ◽  
Jordana L. Sommer ◽  
Gordon J. G. Asmundson ◽  
Renée El‐Gabalawy
Keyword(s):  
Chronic Pain ◽  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Representative Study ◽  
Nationally Representative

scholarly journals Associations among trauma, posttraumatic stress disorder, cannabis use, and cannabis use disorder in a nationally representative epidemiologic sample.

2015 ◽  
Vol 29 (3) ◽  
pp. 633-638 ◽  
Author(s):  
Salpi Kevorkian ◽  
Marcel O. Bonn-Miller ◽  
Katherine Belendiuk ◽  
Dever M. Carney ◽  
Roxann Roberson-Nay ◽  
...  
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Nationally Representative

scholarly journals DSM-5 cannabis use disorder: A phenotypic and genomic perspective

2014 ◽  
Vol 134 ◽  
pp. 362-369 ◽  
Author(s):  
Arpana Agrawal ◽  
Michael T. Lynskey ◽  
Kathleen K. Bucholz ◽  
Manav Kapoor ◽  
Laura Almasy ◽  
...  
Keyword(s):  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Dsm 5

scholarly journals Prevalence and Correlates of DSM-5 Cannabis Use Disorder, 2012-2013: Findings from the National Epidemiologic Survey on Alcohol and Related Conditions–III

2016 ◽  
Vol 173 (6) ◽  
pp. 588-599 ◽  
Author(s):  
Deborah S. Hasin ◽  
Bradley T. Kerridge ◽  
Tulshi D. Saha ◽  
Boji Huang ◽  
Roger Pickering ◽  
...  
Keyword(s):  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Dsm 5 ◽  
Epidemiologic Survey

The structure of common and uncommon mental disorders

2012 ◽  
Vol 43 (1) ◽  
pp. 97-108 ◽  
Author(s):  
K. T. Forbush ◽  
D. Watson
Keyword(s):  
Mental Disorders ◽  
Large Scale ◽  
Structural Model ◽  
Bipolar Disorders ◽  
Epidemiological Studies ◽  
Confirmatory Factor Analyses ◽  
Representative Study ◽  
Epidemiological Surveys ◽  
Co Morbidity ◽  
Nationally Representative

BackgroundCo-morbidity patterns in epidemiological studies of mental illness consistently demonstrate that a latent internalizing factor accounts for co-morbidity patterns among unipolar mood and anxiety disorders, whereas a latent externalizing factor underlies the covariation of substance-use disorders and antisocial behaviors. However, this structure needs to be extended to include a broader range of disorders.MethodExploratory and confirmatory factor analyses were used to examine the structure of co-morbidity using data from the Collaborative Psychiatric Epidemiological Surveys (n = 16 233).ResultsIn the best-fitting model, eating and bipolar disorders formed subfactors within internalizing, impulse control disorders were indicators of externalizing, and factor-analytically derived personality disorder scales split between internalizing and externalizing.ConclusionsThis was the first large-scale nationally representative study that has included uncommon mental disorders with sufficient power to examine their fit within a structural model of psychopathology. The results of this study have important implications for conceptualizing myriad mental disorders.

scholarly journals Comparing Factor, Class, and Mixture Models of Cannabis Initiation and DSM Cannabis Use Disorder Criteria, Including Craving, in the Brisbane Longitudinal Twin Study

2014 ◽  
Vol 17 (2) ◽  
pp. 89-98 ◽  
Author(s):  
Thomas S. Kubarych ◽  
Kenneth S. Kendler ◽  
Steven H. Aggen ◽  
Ryne Estabrook ◽  
Alexis C. Edwards ◽  
...  
Keyword(s):  
Mixture Models ◽  
Ordinal Data ◽  
Latent Class ◽  
Latent Class Models ◽  
Cannabis Use ◽  
General Factor ◽  
Cannabis Use Disorder ◽  
Cannabis Abuse ◽  
Dsm 5 ◽  
Dsm Iv

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.

scholarly journals A large-scale genome-wide association study meta-analysis of cannabis use disorder

2020 ◽  
Vol 7 (12) ◽  
pp. 1032-1045 ◽  
Author(s):  
Emma C Johnson ◽  
Ditte Demontis ◽  
Thorgeir E Thorgeirsson ◽  
Raymond K Walters ◽  
Renato Polimanti ◽  
...  
Keyword(s):  
Association Study ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
Cannabis Use ◽  
Genome Wide Association ◽  
Cannabis Use Disorder ◽  
Genome Wide

DSM-5 cannabis use disorder in the National Epidemiologic Survey on Alcohol and Related Conditions-III: Gender-specific profiles

2018 ◽  
Vol 76 ◽  
pp. 52-60 ◽  
Author(s):  
Bradley T. Kerridge ◽  
Roger Pickering ◽  
Patricia Chou ◽  
Tulshi D. Saha ◽  
Deborah S. Hasin
Keyword(s):  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Dsm 5 ◽  
Epidemiologic Survey ◽  
Gender Specific

scholarly journals Corrigendum to “Concordance between DSM-5 and DSM-IV nicotine, alcohol, and cannabis use disorder diagnoses among pediatric patients” [Drug Alcohol Depend. 140 (2014) 213–216]

2016 ◽  
Vol 168 ◽  
pp. 203
Author(s):  
Sharon M. Kelly ◽  
Jan Gryczynski ◽  
Shannon Gwin Mitchell ◽  
Arethusa Kirk ◽  
Kevin E. O’Grady ◽  
...  
Keyword(s):  
Pediatric Patients ◽  
Cannabis Use ◽  
Cannabis Use Disorder ◽  
Dsm 5 ◽  
Dsm Iv
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