Literature DB >> 17523987

Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids.

Nathan A Gillespie1, Michael C Neale, Carol A Prescott, Steven H Aggen, Kenneth S Kendler.   

Abstract

AIMS: This paper explored, in a population-based sample of males, the factorial structure of criteria for substance abuse and dependence, and compared qualitatively the performance of these criteria across drug categories using item-response theory (IRT).
DESIGN: Marginal maximum likelihood was used to explore the factor structure of criteria within drug classes, and a two-parameter IRT model was used to determine how the difficulty and discrimination of individual criteria differ across drug classes. PARTICIPANTS: A total of 4234 males born from 1940 to 1974 from the population-based Virginia Twin Registry were approached to participate. MEASUREMENTS: DSM-IV drug use, abuse and dependence criteria for cannabis, sedatives, stimulants, cocaine and opiates.
FINDINGS: For each drug class, the pattern of endorsement of individual criteria for abuse and dependence, conditioned on initiation and use, could be best explained by a single factor. There were large differences in individual item performance across substances in terms of item difficulty and discrimination. Cocaine users were more likely to have encountered legal, social, physical and psychological consequences.
CONCLUSIONS: The DSM-IV abuse and dependence criteria, within each drug class, are not distinct but best described in terms of a single underlying continuum of risk. Because individual criteria performed very differently across substances in IRT analyses, the assumption that these items are measuring equivalent levels of severity or liability with the same discrimination across different substances is unsustainable. Compared to other drugs, cocaine usage is associated with more detrimental effects and negative consequences, whereas the effects of cannabis and hallucinogens appear to be less harmful. Implications for other drug classes are discussed.

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Substances:

Year:  2007        PMID: 17523987     DOI: 10.1111/j.1360-0443.2007.01804.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  60 in total

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2.  Abuse and dependence on prescription opioids in adults: a mixture categorical and dimensional approach to diagnostic classification.

Authors:  L-T Wu; G E Woody; C Yang; J-J Pan; D G Blazer
Journal:  Psychol Med       Date:  2010-05-12       Impact factor: 7.723

3.  Marijuana use subtypes in a community sample of young adult women.

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4.  An item-response theory analysis of DSM-IV alcohol-use disorder criteria and "binge" drinking in undergraduates.

Authors:  Cheryl L Beseler; Laura A Taylor; Robert F Leeman
Journal:  J Stud Alcohol Drugs       Date:  2010-05       Impact factor: 2.582

5.  Item response theory analysis of DSM-IV criteria for inhalant-use disorders in adolescents.

Authors:  Brian E Perron; Michael G Vaughn; Matthew O Howard; Amy Bohnert; Erick Guerrero
Journal:  J Stud Alcohol Drugs       Date:  2010-07       Impact factor: 2.582

6.  The Short Inventory of Problems - revised (SIP-R): psychometric properties within a large, diverse sample of substance use disorder treatment seekers.

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7.  Recent advances in the genetic epidemiology and molecular genetics of substance use disorders.

Authors:  Kenneth S Kendler; Xiangning Chen; Danielle Dick; Hermine Maes; Nathan Gillespie; Michael C Neale; Brien Riley
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8.  Is there heterogeneity among syndromes of substance use disorder for illicit drugs?

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9.  Contributions of ethnicity to differential item functioning of cannabis abuse and dependence symptoms.

Authors:  Ian R Gizer; David A Gilder; Philip Lau; Ting Wang; Kirk C Wilhelmsen; Cindy L Ehlers
Journal:  J Stud Alcohol Drugs       Date:  2013-03       Impact factor: 2.582

10.  Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study.

Authors:  Thomas S Kubarych; Kenneth S Kendler; Steven H Aggen; Ryne Estabrook; Alexis C Edwards; Shaunna L Clark; Nicholas G Martin; Ian B Hickie; Michael C Neale; Nathan A Gillespie
Journal:  Twin Res Hum Genet       Date:  2014-03-03       Impact factor: 1.587

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