Literature DB >> 28944002

Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms.

Levent Kirisci1,2, Ralph E Tarter1,2, Maureen Reynolds1, Michael M Vanyukov1,2,3.   

Abstract

BACKGROUND: Item response theory (IRT) based studies conducted on diverse samples showed a single dominant factor for DSM-III-R and DSM-IV substance use disorder (SUD) abuse and dependence symptoms of alcohol, cannabis, sedative, cocaine, stimulants, and opiates use disorders. IRT provides the opportunity, within a person-centered framework, to accurately gauge each person's severity of disorder that, in turn, informs required intensiveness of treatment.
OBJECTIVES: The aim of this study was to determine whether the SUD symptoms indicate a unidimensional trait or instead need to be conceptualized and quantified as a multidimensional scale.
METHODS: The sample was composed of families of adult SUD+ men (n=349), and SUD+ women (n=173), who qualified for DSM-III-R diagnosis of substance use disorder (abuse or dependence) and families of adult men and women who did not qualify for a SUD diagnosis (SUD- men: n=190, SUD- women: n=133). An expanded version of the Structured Clinical Interview for DSM-III-R (SCID) was administered to characterize lifetime and current substance use disorders. Item response theory methodology was used to assess the dimensionality of DSM-III-R SUD abuse and dependence symptoms.
RESULTS: A bi-factor model provided the optimal representation of the factor structure of SUD symptoms in males and females. SUD symptoms are scalable as indicators of a single common factor, corresponding to general (non-drug-specific, common) liability to addiction, combined with drug-specific liabilities.
CONCLUSIONS: IRT methodology used to quantify the continuous general liability to addiction (GLA) latent trait in individuals having SUD symptoms was found effective for accurately measuring SUD severity in men and women. This may be helpful for person-centered medicine approaches to effectively address intensity of treatment.

Entities:  

Keywords:  bi-factor model; dimensionality; factor analysis; item response theory; substance use disorder

Year:  2016        PMID: 28944002      PMCID: PMC5606209     

Source DB:  PubMed          Journal:  Int J Pers Cent Med        ISSN: 2043-7730


  32 in total

Review 1.  Liability to substance use disorders: 2. A measurement approach.

Authors:  Michael M Vanyukov; Levent Kirisci; Ralph E Tarter; Howard F Simkevitz; Galina P Kirillova; Brion S Maher; Duncan B Clark
Journal:  Neurosci Biobehav Rev       Date:  2003-10       Impact factor: 8.989

Review 2.  Liability to substance use disorders: 1. Common mechanisms and manifestations.

Authors:  Michael M Vanyukov; Ralph E Tarter; Levent Kirisci; Galina P Kirillova; Brion S Maher; Duncan B Clark
Journal:  Neurosci Biobehav Rev       Date:  2003-10       Impact factor: 8.989

3.  Application of item response theory to quantify substance use disorder severity.

Authors:  Levent Kirisci; Ralph E Tarter; Michael Vanyukov; Chris Martin; Ada Mezzich; Stacy Brown
Journal:  Addict Behav       Date:  2006-04-27       Impact factor: 3.913

4.  The dimensionality of alcohol abuse and dependence: a multivariate analysis of DSM-IV symptom items in the National Longitudinal Survey of Youth.

Authors:  T C Harford; B O Muthén
Journal:  J Stud Alcohol       Date:  2001-03

5.  A Rasch model analysis of DSM-IV Alcohol abuse and dependence items in the National Epidemiological Survey on Alcohol and Related Conditions.

Authors:  Christopher W Kahler; David R Strong
Journal:  Alcohol Clin Exp Res       Date:  2006-07       Impact factor: 3.455

6.  Genetic etiology of the common liability to drug dependence: evidence of common and specific mechanisms for DSM-IV dependence symptoms.

Authors:  Rohan H C Palmer; Tanya M Button; Soo H Rhee; Robin P Corley; Susan E Young; Michael C Stallings; Christian J Hopfer; John K Hewitt
Journal:  Drug Alcohol Depend       Date:  2012-01-11       Impact factor: 4.492

7.  Specificity of genetic and environmental risk factors for symptoms of cannabis, cocaine, alcohol, caffeine, and nicotine dependence.

Authors:  Kenneth S Kendler; John Myers; Carol A Prescott
Journal:  Arch Gen Psychiatry       Date:  2007-11

8.  Validity of the bi-axial dependence concept: a test in the US general population.

Authors:  D S Hasin; B Muthuen; K S Wisnicki; B Grant
Journal:  Addiction       Date:  1994-05       Impact factor: 6.526

9.  Measurement of the risk for substance use disorders: phenotypic and genetic analysis of an index of common liability.

Authors:  Michael M Vanyukov; Levent Kirisci; Lisa Moss; Ralph E Tarter; Maureen D Reynolds; Brion S Maher; Galina P Kirillova; Ty Ridenour; Duncan B Clark
Journal:  Behav Genet       Date:  2009-04-18       Impact factor: 2.805

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

Authors:  Nathan A Gillespie; Michael C Neale; Carol A Prescott; Steven H Aggen; Kenneth S Kendler
Journal:  Addiction       Date:  2007-06       Impact factor: 6.526

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  2 in total

1.  Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

Authors:  Ziheng Hu; Yankang Jing; Ying Xue; Peihao Fan; Lirong Wang; Michael Vanyukov; Levent Kirisci; Junmei Wang; Ralph E Tarter; Xiang-Qun Xie
Journal:  Drug Alcohol Depend       Date:  2019-10-01       Impact factor: 4.492

2.  Development of a computerized adaptive substance use disorder scale for screening and measurement: the CAT-SUD.

Authors:  Robert D Gibbons; Margarita Alegria; Sheri Markle; Larimar Fuentes; Liting Zhang; Rodrigo Carmona; Francisco Collazos; Ye Wang; Enrique Baca-García
Journal:  Addiction       Date:  2020-01-14       Impact factor: 6.526

  2 in total

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