Item response theory analysis of DSM-IV cannabis abuse and dependence criteria in adolescents

Journal of the American Academy of Child and Adolescent Psychiatry

Volumn 47, Issue 2, 2008, Pages 165-173

  Hartman, Christie A ^a,c   Gelhorn, Heather ^a   Crowley, Thomas J ^a   Sakai, Joseph T ^a   Stallings, Michael ^b   Young, Susan E ^b   Rhee, Soo Hyun ^b   Corley, Robin ^b   Hewitt, John K ^b   Hopfer, Christian J ^a  

^a UNIVERSITY OF COLORADO   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c Box C268 35 ^*  (United States)

Author keywords

Cannabis abuse; Cannabis dependence; DSM IV; DSM V; Item response theory

Indexed keywords

CANNABIS;

ADOLESCENT; ADULT; ARTICLE; CANNABIS ADDICTION; DATA ANALYSIS; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; DISEASE SEVERITY; FEMALE; HUMAN; ITEM RESPONSE THEORY; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SCHOOL CHILD; STRUCTURED INTERVIEW; SUBSTANCE ABUSE; SYSTEMS THEORY;

EID: 38549103567     PISSN: 08908567     EISSN: None     Source Type: Journal    
DOI: 10.1097/chi.0b013e31815cd9f2     Document Type: Article

References (40)

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV). Washington, DC: American Psychiatric Association; 1994.
2. Crowley TJ. Adolescents and substance-related disorders: research agenda to guide decisions on Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V). Addiction. 2006;101(Suppl 1):164-172.
3. Edwards G. The alcohol dependence syndrome: a concept as stimulus to enquiry. Br J Addict. 1986;81:171-183.
4. Hasin D. Classification of alcohol use disorders. Alcohol Health Res World. 2003;27:5-17.
5. Johnston LD, O'Malley PM, Bachman JG, et al. Monitoring the Future National Results on Adolescent Drug Use: Overview of Key Findings, 2005, NIH Publication No. 06-5882. Bethesda, MD: National Institute on Drug Abuse; 2006.
6. Chen CY, Anthony JC. Possible age-associated bias in reporting of clinical features of drug dependence: epidemiological evidence on adolescent-onset marijuana use. Addiction. 2003;98:71-82.
7. Chen K, Kandel DB, Davies M. Relationships between frequency and quantity of marijuana use and last year proxy dependence among adolescents and adults in the United States. Drug Alcohol Depend. 1997;46:53-67.
8. Rey J, Martin A, Krabman P. Is the party over? Cannabis and juvenile psychiatric disorder: the last ten years. J Am Acad Child Adolesc Psychiatry. 2004;43:1194-1205.
9. Substance Abuse and Mental Health Services Administration. Marijuana Treatment Admissions Increase: 1993-1999. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2002.
10. Feingold A, Rounsaville B. Construct validity of the abuse-dependence distinction as measured by DSM-IV criteria for different psychoactive substances. Drug Alcohol Depend. 1995;39:99-109.
11. Feingold A, Rounsaville B. Construct validity of the dependence syndrome as measured by DSM-IV for different psychoactive substances. Addiction. 1995;90:1661-1669.
12. Muthen B, Grant B, Hasin D. The dimensionality of alcohol abuse and dependence: factor analysis of DSM-III-R and proposed DSM-IV criteria in the 1988 National Health Interview Survey. Addiction. 1993;88:1079-1090.
13. Harford TC, Muthen B. The dimensionality of alcohol abuse and dependence: a multivariate analysis of DSM-IV symptom items in the National Longitudinal Survey of Youth. J Stud Alcohol. 2001;62:150-157.
14. Hasin D, Grant B, Endicott J. The natural history of alcohol use disorders. Am J Psychiatry. 1990;147:1537-1541.
15. Grant BF, Stinson FS, Harford TC. Age of onset of alcohol use and DSM-IV abuse and dependence: a 12-year follow-up. J Subst Abuse. 2001;13:493-504.
16. Winters K, Latimer W, Stinchfield R. The DSM-IV criteria for adolescent alcohol and cannabis use disorders. J Stud Alcohol. 1999;60:337-344.
17. Hasin D, Schuckit M, Martin CS, et al. The validity of DSM-IV alcohol dependence: what do we know and what do we need to know? Alcohol Clin Exp Res. 2003;27:244-252.
18. Langenbucher J, Martin CS, Labouvie EW, et al. Toward the DSM-V: the Withdrawal-Gate Model versus the DSM-IV in the diagnosis of alcohol abuse and dependence. J Consult Clin Psychol. 2000;68:799-809.
19. Hasin DS, Grant B. Nosological comparisons of DSM-III-R and DSM-IV alcohol abuse and dependence in a clinical facility: comparison with the 1988 National Health Interview Survey results. Alcohol Clin Exp Res. 1994;18:272-279.
20. Proudfoot H, Baillie A, Teesson M. The structure of alcohol dependence in the community. Drug Alcohol Depend. 2005;81:21-26.
21. Saha T, Chou S, Grant B. Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychol Med. 2006;36:931-941.
22. Langenbucher J, Labouvie EW, Martin CS, et al. An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV. J Abnorm Psychol. 2004;113:72-80.
23. Teesson M, Lynskey MT, Manor B, et al. The structure of cannabis dependence in the community. Drug Alcohol Depend. 2002;68:255-262.
24. Swift W, Hall W, Teesson M. Characteristics of DSM-IV and ICD-10 cannabis dependence among Australian adults: results from the National Survey of Mental Health and Wellbeing. Drug and Alcohol Dependence. 2001;63:147-153.
25. Nelson CB, Rehm J, Ustin T, et al. Factor structures for DSM-IV substance disorder criteria endorsed by alcohol, cannabis, cocaine, and opiate users: results from the WHO reliability and validity study. Addiction. 1999;94:843-855.
26. Martin CS, Winters K. Diagnosis and assessment of alcohol use disorders among adolescents. Alcohol Health Res World. 1998;22:95-105.
27. Martin CS, Chung T, Kirisci L, et al. Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V. J Abnorm Psychol. 2006;115:807-814.
28. Chung T, Martin CS, Winters K, et al. Limitations in the assessment of DSM-IV cannabis tolerance as an indicator of dependence in adolescents. Exp Clin Psychopharmacol. 2004;12:136-146.
29. Stallings MC, Corley R, Hewitt JK, et al. A genome-wide search for quantitative trait loci influencing substance dependence vulnerability in adolescence. Drug Alcohol Depend. 2003;70:295-307.
30. Cottler LB, Keating SK. Operationalization of alcohol and drug dependence criteria by means of a structured interview. Recent Dev Alcohol. 1990;8:69-83.
31. Cottler LB, Robins LN, Helzer JE. The reliability of the CIDI-SAM: a comprehensive substance abuse interview. Br J Addict. 1989;84:801-814.
32. Kessler RC, McGonagle KA, Zhao S, et al. Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Arch Gen Psychiatry. 1994;51:8-19.
33. Crowley TJ, Mikulich SK, Ehlers KM, et al. Validity of structured clinical evaluations in adolescents with conduct and substance problems. J Am Acad Child Adolesc Psychiatry. 2001;40:265-273.
34. Mikulich SK, Hall SK, Whitmore EA, et al. Concordance between DSM-III-R and DSM-IV diagnoses of substance use disorders in adolescents. Drug Alcohol Depend. 2001;61:237-248.
35. Muthen L, Muthen B. Mplus User's Guide, 3rd ed. Los Angeles: Muthen & Muthen; 2004.
36. Hulin C, Drasgow F, Parsons C. Item Response Theory. Homewood, IL: Dow Jones-Irwin; 1983.
37. Kirisci L, Vanyukov MM, Dunn M, et al. Item response theory modeling of substance use: an index based on 10 drug categories. Psychol Addict Behav. 2002;16:290-298.
38. Muraki E, Bock D. PARSCALE. Chicago: Scientific Software International I; 2003.
39. Embretson S, Reise S. Item Response Theory for Psychologists. Mahwah, NJ: Erlbaum; 2000.
40. Substance Abuse and Mental Health Services Administration. Treatment Episode Data Set (TEDS): 1992-2002, DHHS Publication No. (SMA) 04-3965. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2004.