Literature DB >> 17623384

Assessing cannabis dependence in community surveys: methodological issues.

Louisa Degenhardt1, Hui Cheng, James C Anthony.   

Abstract

Drug-related social role impairments and social maladaptation are referenced explicitly in the case definitions for drug dependence within DSM-IV-TR. Nonetheless, cases of drug dependence without this type of secondary consequence have been observed in recent epidemiological studies. When an 'impairment/maladaptation gating' approach has been taken during recent large-scale psychiatric surveys (for example, to reduce participant fatigue or burden), the net effect may include (a) a reduced number of identified drug dependence cases and (b) biases in the estimates of association linked to the occurrence of drug dependence. In this report, we probe these issues with respect to cannabis dependence, making use of data from the cross-sectional United States National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a household survey of 43,093 adults aged 18 years and over. In this process, we shed light on actual impact of the gating approach mentioned above. Specifically, when we simulated a social impairment/maladaptation 'gated' assessment of cannabis dependence, the end result was a very modest reduction in the estimated prevalence of cannabis dependence. It suggested that for every 10 000 general population survey respondents there would be no more than 12 cases of cannabis dependence without the above-referenced impairments/maladaptations. Patterns of association linking suspected background characteristics to the prevalence of cannabis dependence were not appreciably different when the 'gated' and 'ungated' approaches were applied. In summary, there are reasons to take the ungated approach in detailed research on cannabis use and dependence. Nevertheless, in panoramic mental health surveys, the inefficiency of an 'ungated' approach must be balanced against the anticipated yield of cannabis dependence cases who lack social role impairments or socially maladaptive behaviours. Copyright (c) 2007 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2007        PMID: 17623384      PMCID: PMC6878304          DOI: 10.1002/mpr.206

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  10 in total

1.  Use of alternating logistic regression in studies of drug-use clustering.

Authors:  G V Bobashev; J C Anthony
Journal:  Subst Use Misuse       Date:  2000 May-Jun       Impact factor: 2.164

2.  Cannabis use and dependence in a New Zealand birth cohort.

Authors:  D M Fergusson; L J Horwood
Journal:  N Z Med J       Date:  2000-05-12

3.  Cannabis dependence in young adults: an Australian population study.

Authors:  Carolyn Coffey; John B Carlin; Louisa Degenhardt; Michael Lynskey; Lena Sanci; George C Patton
Journal:  Addiction       Date:  2002-02       Impact factor: 6.526

4.  Co-occurring DSM-IV drug abuse in DSM-IV drug dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Deborah S Hasin; Mark Hatzenbueler; Sharon Smith; Bridget F Grant
Journal:  Drug Alcohol Depend       Date:  2005-04-18       Impact factor: 4.492

5.  Clusters of marijuana use in the United States.

Authors:  G V Bobashev; J C Anthony
Journal:  Am J Epidemiol       Date:  1998-12-15       Impact factor: 4.897

6.  The relationship between cannabis use and DSM-IV cannabis abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey.

Authors:  B F Grant; R Pickering
Journal:  J Subst Abuse       Date:  1998

7.  Cannabis use and dependence among Australian adults: results from the National Survey of Mental Health and Wellbeing.

Authors:  W Swift; W Hall; M Teesson
Journal:  Addiction       Date:  2001-05       Impact factor: 6.526

8.  'Diagnostic orphans' among young adult cannabis users: persons who report dependence symptoms but do not meet diagnostic criteria.

Authors:  Louisa Degenhardt; Michael Lynskey; Carolyn Coffey; George Patton
Journal:  Drug Alcohol Depend       Date:  2002-07-01       Impact factor: 4.492

9.  A different kind of contextual effect: geographical clustering of cocaine incidence in the USA.

Authors:  K R Petronis; J C Anthony
Journal:  J Epidemiol Community Health       Date:  2003-11       Impact factor: 3.710

10.  Co-occurrence of 12-month alcohol and drug use disorders and personality disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Bridget F Grant; Frederick S Stinson; Deborah A Dawson; S Patricia Chou; W June Ruan; Roger P Pickering
Journal:  Arch Gen Psychiatry       Date:  2004-04
  10 in total
  16 in total

1.  Mental disorders as risk factors for substance use, abuse and dependence: results from the 10-year follow-up of the National Comorbidity Survey.

Authors:  Joel Swendsen; Kevin P Conway; Louisa Degenhardt; Meyer Glantz; Robert Jin; Kathleen R Merikangas; Nancy Sampson; Ronald C Kessler
Journal:  Addiction       Date:  2010-03-10       Impact factor: 6.526

2.  Violations of the usual sequence of drug initiation: prevalence and associations with the development of dependence in the New Zealand Mental Health Survey.

Authors:  J Elisabeth Wells; Magnus A McGee
Journal:  J Stud Alcohol Drugs       Date:  2008-11       Impact factor: 2.582

3.  Use and abuse of alcohol and illicit drugs in US adolescents: results of the National Comorbidity Survey-Adolescent Supplement.

Authors:  Joel Swendsen; Marcy Burstein; Brady Case; Kevin P Conway; Lisa Dierker; Jianping He; Kathleen R Merikangas
Journal:  Arch Gen Psychiatry       Date:  2012-04

Review 4.  Novel phenotype issues raised in cross-national epidemiological research on drug dependence.

Authors:  James C Jim Anthony
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

5.  Are the symptoms of cannabis use disorder best accounted for by dimensional, categorical, or factor mixture models? A comparison of male and female young adults.

Authors:  Nathan A Gillespie; Michael C Neale; Lisa N Legrand; William G Iacono; Matt McGue
Journal:  Psychol Addict Behav       Date:  2011-11-14

Review 6.  Cannabis Epidemiology: A Selective Review.

Authors:  James C Anthony; Catalina Lopez-Quintero; Omayma Alshaarawy
Journal:  Curr Pharm Des       Date:  2017-01-04       Impact factor: 3.116

7.  Cross-national differences in clinically significant cannabis problems: epidemiologic evidence from 'cannabis-only' smokers in the United States, Mexico, and Colombia.

Authors:  Fabian Fiestas; Mirjana Radovanovic; Silvia S Martins; Maria E Medina-Mora; Jose Posada-Villa; James C Anthony
Journal:  BMC Public Health       Date:  2010-03-23       Impact factor: 3.295

8.  Further evidence of differences in substance use and dependence between Australia and the United States.

Authors:  Orla McBride; Maree Teesson; Tim Slade; Deborah Hasin; Louisa Degenhardt; Andrew Baillie
Journal:  Drug Alcohol Depend       Date:  2008-11-29       Impact factor: 4.492

9.  Mental disorders as risk factors for later substance dependence: estimates of optimal prevention and treatment benefits.

Authors:  M D Glantz; J C Anthony; P A Berglund; L Degenhardt; L Dierker; A Kalaydjian; K R Merikangas; A M Ruscio; J Swendsen; R C Kessler
Journal:  Psychol Med       Date:  2008-12-02       Impact factor: 7.723

10.  Assessment of cocaine and other drug dependence in the general population: "gated" versus "ungated" approaches.

Authors:  Louisa Degenhardt; Kipling M Bohnert; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2007-12-11       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.