View in EDS HTML Full Text PDF Full Text

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

Saved in:
Bibliographic Details
Title: Probability and correlates of transition from cannabis use to DSM-5 cannabis use disorder: Results from a large-scale nationally representative study.
Authors: Feingold, Daniel (AUTHOR), Livne, Ofir (AUTHOR), Rehm, Jürgen (AUTHOR), Lev‐Ran, Shaul (AUTHOR), Lev-Ran, Shaul (AUTHOR)
Source: Drug & Alcohol Review. Feb2020, Vol. 39 Issue 2, p142-151. 10p. 4 Charts.
Subjects: Marijuana abuse, Substance-induced disorders, Probability theory, Survival analysis (Biometry)
Abstract: Introduction and Aims: It has been previously reported that more than 34% of individuals who use cannabis may qualify for a diagnosis of DSM-IV cannabis abuse or dependence throughout their lifetime. The introduction of the DSM-5 cannabis use disorder (CUD) diagnostic criteria reflects several intrinsic changes in the perception of substance use disorders. However, little is known about the probability of transition from cannabis use to CUD over time nor about the sociodemographic and clinical correlates associated with this transition.Design and Methods: Participants were individuals ≥18 years interviewed in the National Epidemiologic Survey on Alcohol and Related Conditions-III in 2012-2013. Measurements included univariable and multivariable discrete-time survival analyses performed to examine the association between previously reported cannabis dependence predictors and the hazards of transitioning from cannabis use to CUD. Survival plots assessed the probability of transition from cannabis use to CUD over time since age of first use and differences in probability between predictor levels.Results: Among lifetime cannabis users (N = 11 272), lifetime probability of transition to CUD was approximately 27%. A higher probability of transition from cannabis use to CUD was observed in the following: men, participants belonging to an ethnic minority group, early-onset cannabis users and individuals who reported experiencing three or more childhood adverse events.Discussion and Conclusions: This is the first study to explore transition from cannabis use to the DSM-5 CUD diagnosis. The current study identified specific predictors of this transition, which may assist in targeting at-risk populations. [ABSTRACT FROM AUTHOR]
Copyright of Drug & Alcohol Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 141526511
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Probability and correlates of transition from cannabis use to DSM-5 cannabis use disorder: Results from a large-scale nationally representative study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Feingold%2C+Daniel%22">Feingold, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Livne%2C+Ofir%22">Livne, Ofir</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rehm%2C+Jürgen%22">Rehm, Jürgen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lev‐Ran%2C+Shaul%22">Lev‐Ran, Shaul</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lev-Ran%2C+Shaul%22">Lev-Ran, Shaul</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Drug+%26+Alcohol+Review%22">Drug & Alcohol Review</searchLink>. Feb2020, Vol. 39 Issue 2, p142-151. 10p. 4 Charts.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Marijuana+abuse%22">Marijuana abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Substance-induced+disorders%22">Substance-induced disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Survival+analysis+%28Biometry%29%22">Survival analysis (Biometry)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: <bold>Introduction and Aims: </bold>It has been previously reported that more than 34% of individuals who use cannabis may qualify for a diagnosis of DSM-IV cannabis abuse or dependence throughout their lifetime. The introduction of the DSM-5 cannabis use disorder (CUD) diagnostic criteria reflects several intrinsic changes in the perception of substance use disorders. However, little is known about the probability of transition from cannabis use to CUD over time nor about the sociodemographic and clinical correlates associated with this transition.<bold>Design and Methods: </bold>Participants were individuals ≥18 years interviewed in the National Epidemiologic Survey on Alcohol and Related Conditions-III in 2012-2013. Measurements included univariable and multivariable discrete-time survival analyses performed to examine the association between previously reported cannabis dependence predictors and the hazards of transitioning from cannabis use to CUD. Survival plots assessed the probability of transition from cannabis use to CUD over time since age of first use and differences in probability between predictor levels.<bold>Results: </bold>Among lifetime cannabis users (N = 11 272), lifetime probability of transition to CUD was approximately 27%. A higher probability of transition from cannabis use to CUD was observed in the following: men, participants belonging to an ethnic minority group, early-onset cannabis users and individuals who reported experiencing three or more childhood adverse events.<bold>Discussion and Conclusions: </bold>This is the first study to explore transition from cannabis use to the DSM-5 CUD diagnosis. The current study identified specific predictors of this transition, which may assist in targeting at-risk populations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Drug & Alcohol Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=141526511
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/dar.13031
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 142
    Subjects:
      – SubjectFull: Marijuana abuse
        Type: general
      – SubjectFull: Substance-induced disorders
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Survival analysis (Biometry)
        Type: general
    Titles:
      – TitleFull: Probability and correlates of transition from cannabis use to DSM-5 cannabis use disorder: Results from a large-scale nationally representative study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Feingold, Daniel
      – PersonEntity:
          Name:
            NameFull: Livne, Ofir
      – PersonEntity:
          Name:
            NameFull: Rehm, Jürgen
      – PersonEntity:
          Name:
            NameFull: Lev‐Ran, Shaul
      – PersonEntity:
          Name:
            NameFull: Lev-Ran, Shaul
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 09595236
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Drug & Alcohol Review
              Type: main
ResultId 1