Literature DB >> 17407621

Psychometric properties of DSM assessments of illicit drug abuse and dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

M T Lynskey1, A Agrawal.   

Abstract

BACKGROUND: DSM-IV criteria for illicit drug abuse and dependence are largely based on criteria developed for alcohol use disorders and there is a lack of research evidence on the psychometric properties of these symptoms when applied to illicit drugs.
METHOD: This study utilizes data on abuse/dependence criteria for cannabis, cocaine, stimulants, sedatives, tranquilizers, opiates, hallucinogens and inhalants from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC, n=43 093). Analyses included factor analysis to explore the dimensionality of illicit drug abuse and dependence criteria, calculation of item difficulty and discrimination within an item response framework and a descriptive analysis of 'diagnostic orphans': individuals meeting criteria for 1-2 dependence symptoms but not abuse. Rates of psychiatric disorders were compared across groups.
RESULTS: Results favor a uni-dimensional construct for abuse/dependence on each of the eight drug classes. Factor loadings, item difficulty and discrimination were remarkably consistent across drug categories. For each drug category, between 29% and 51% of all individuals meeting criteria for at least one symptom did not receive a formal diagnosis of either abuse or dependence and were therefore classified as 'orphans'. Mean rates of disorder in these individuals suggested that illicit drug use disorders may be more adequately described along a spectrum of severity.
CONCLUSIONS: While there were remarkable similarities across categories of illicit drugs, consideration of item difficulty suggested that some alterations to DSM regarding the relevant severity of specific abuse and dependence criteria may be warranted.

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Year:  2007        PMID: 17407621     DOI: 10.1017/S0033291707000396

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  45 in total

1.  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

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

Authors:  Marcel A de Dios; Bradley J Anderson; Debra S Herman; Claire E Hagerty; Celeste M Caviness; Alan J Budney; Michael Stein
Journal:  Womens Health Issues       Date:  2010 May-Jun

3.  DSM-IV to DSM-5: the impact of proposed revisions on diagnosis of alcohol use disorders.

Authors:  Arpana Agrawal; Andrew C Heath; Michael T Lynskey
Journal:  Addiction       Date:  2011-08-18       Impact factor: 6.526

4.  Relationship of substance abuse to dependence in the U.S. general population.

Authors:  Tulshi D Saha; Thomas Harford; Risë B Goldstein; Bradley T Kerridge; Deborah Hasin
Journal:  J Stud Alcohol Drugs       Date:  2012-05       Impact factor: 2.582

5.  Item banks for substance use from the Patient-Reported Outcomes Measurement Information System (PROMIS(®)): Severity of use and positive appeal of use.

Authors:  Paul A Pilkonis; Lan Yu; Nathan E Dodds; Kelly L Johnston; Suzanne M Lawrence; Thomas F Hilton; Dennis C Daley; Ashwin A Patkar; Dennis McCarty
Journal:  Drug Alcohol Depend       Date:  2015-09-21       Impact factor: 4.492

6.  An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study.

Authors:  Li-Tzy Wu; Jeng-Jong Pan; Dan G Blazer; Betty Tai; Maxine L Stitzer; Robert K Brooner; George E Woody; Ashwin A Patkar; Jack D Blaine
Journal:  J Stud Alcohol Drugs       Date:  2009-05       Impact factor: 2.582

7.  Item response theory analysis of lifetime cannabis-use disorder symptom severity in an American Indian community sample.

Authors:  David A Gilder; Philip Lau; Cindy L Ehlers
Journal:  J Stud Alcohol Drugs       Date:  2009-11       Impact factor: 2.582

8.  Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies.

Authors:  Jaime Derringer; Robert F Krueger; Danielle M Dick; Arpana Agrawal; Kathleen K Bucholz; Tatiana Foroud; Richard A Grucza; Michie N Hesselbrock; Victor Hesselbrock; John Kramer; John I Nurnberger; Marc Schuckit; Laura J Bierut; William G Iacono; Matt McGue
Journal:  Addiction       Date:  2013-05-07       Impact factor: 6.526

9.  Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III.

Authors:  Risë B Goldstein; S Patricia Chou; Sharon M Smith; Jeesun Jung; Haitao Zhang; Tulshi D Saha; Roger P Pickering; W June Ruan; Boji Huang; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2015-05       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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