DSM-IV substance abuse and dependence: Are there really two dimensions of substance use disorders in adolescents?

Addiction

Volumn 94, Issue 4, 1999, Pages 495-506

  Fulkerson, Jayne A ^a   Harrison, Patricia A ^a   Beebe, Timothy J ^a  

^a Minnesota Department of Human Services   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALCOHOL; AMPHETAMINE; BARBITURIC ACID DERIVATIVE; CANNABIS; CENTRAL STIMULANT AGENT; COCAINE; OPIATE; SEDATIVE AGENT; TRANQUILIZER;

ADOLESCENCE; ADOLESCENT; ADULT; ARTICLE; DRUG DEPENDENCE; FACTORIAL ANALYSIS; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; POPULATION RESEARCH; RELIABILITY; SCHOOL; SUBSTANCE ABUSE; UNITED STATES;

EID: 0032943522     PISSN: 09652140     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1360-0443.1999.9444955.x     Document Type: Article

References (48)

1. Anderson J. C. & Gerbing, D. W. (1988) Structural equation modeling in practice: a review and recommended two-step approach, Psychological Bulletin, 103, 411-423.
2. American Psychiatric Association (APA) (1980) Diagnostic and Statistical Manual of Mental Disorders, 3rd Edn. (DSM-III) (Washington, DC, APA).
3. American Psychiatric Association (APA) (1987) Diagnostic and Statistical Manual of Mental Disorders, 3rd edn rev. (DSM-III-R) (Washington, DC, APA).
4. American Psychiatric Association (APA) (1994) Diagnostic and Statistical Manual of Mental Disorders, 4th edn rev. (DSM-IV) (Washington, DC, APA).
5. Bollen, K. A. & Long, J. S. (1993) Introduction, in: Bollen, K. A. & Long, J. S. (Eds) Testing Structural Equation Models, pp. 1-9 (Newbury Park, CA, Sage Publications, Inc).
6. Breckler, S. J. (1990) Applications of covariance structure modeling in psychology: cause for concern? Psychological Bulletin, 107, 260-273.
7. Browne, M. W. (1984) Asymptotically distribution-free methods for the analysis of covariance structures, British Journal of Mathematical and Statistical Psychology, 37, 62-83.
8. Browne, M. W. & Cudeck, R. (1992) Alternative ways of assessing model fit, Sociological Methods and Research, 21, 230-258.
9. Bucholz, K. K., Heath, A. C., Reich, T. et al. (1996) Can we subtype alcoholism? A latent class analysis of data from relatives of alcoholics in a multicenter family study of alcoholism, Alcoholism: Clinical and Experimental Research, 20, 1462-1471.
10. Caetano, R. (1985) Two versions of dependence: DSM-III and the alcohol dependence syndrome, Drug and Alcohol Dependence, 15, 81-103.
11. Caetano, R. (1990) The factor structure of the DSM-III-R and ICD-10 concepts of alcohol dependence, Alcohol & Alcoholism, 25, 303-318.
12. Cliff, N. (1983) Some cautions concerning the application of causal modeling methods, Multivariate Behavioral Research, 18, 115-126.
13. Cudeck, R. (1989) Analysis of correlation matrices using covariance structure models, Psychological Bulletin, 105, 317-327.
14. Frances, A., Mack, A., First, M. B. & Jones, C. (1995) DSM-IV issues in development, Psychiatric Annals, 25, 15-19.
15. Feingold, A. & Rounsaville, B. (1995) Construct validity of the dependence syndrome as measured by DSM-IV for different psychoactive substances, Addiction, 90, 1661-1669.
16. Grant, B. F. & Towle, L. H. (1991) A comparison of diagnostic criteria: DSM-III-R, proposed DSM-IV, and proposed ICD-10, Alcohol Health & Research World, 15, 284-292.
17. Harrison, P. A., Fulkerson, J. A. & Beebe, T. J. (1997) Multiple substance use among adolescent physical and sexual abuse victims, Child Abuse & Neglect, 21, 529-539.
18. Harrison, P. A., Fulkerson, J. A. & Beebe, T. J. (1998) DSM-IV substance use disorder criteria for adolescents: A critical examination based on a statewide school survey, American Journal of Psychiatry, 155, 486-492.
19. Helzer, J. E. (1994) Psychoactive substance abuse and its relation to dependence, DSM-IV Sourcebook, Vol. 1, pp. 33-44 (Washington, DC, APA).
20. Johnston, L. D., O'Malley, P. M. & Bachman, J. G. (1995) National Survey Results of Drug Use from the Monitoring the Future Study, 1975-1994, vol. 1, Secondary school students, NIH publication 95-4026 (Rockville, MD, National Institute on Drug Abuse).
21. Jöreskog, K. G. (1979) A general approach to confirmatory maximum likelihood factor analysis, in: Magidson, J. (Ed.) Advances in Factor Analysis and Structural Equation Models (Cambridge, MA, Abt Associates, Inc).
22. Jöreskog, K. G. (1990) New developments in LISREL: analysis of ordinal variables using polychoric correlations and weighted least squares, Quality and Quantity, 24, 387-404.
23. Jöreskog, K. G. (1994) On the estimation of polychoric correlations and their asymptotic covariance matrix, Psychometrika, 59, 381-389.
24. Jöreskog, K. G. & Sörbom, D. (1996a) PRELIS 2: user's reference guide (Chicago, IL, Scientific Software International, Inc).
25. Jöreskog, K. G. & Sörbom, D. (1996b) LISREL 8: user's reference guide (Chicago, IL, Scientific Software International, Inc).
26. Langenbucher, J. W. & Chung, T. (1995) Onset and staging of DSM-IV alcohol and dependence using mean age and survival-hazard methods, Journal of Abnormal Psychology, 104, 346-354.
27. Langenbucher, J. W., Morgenstern, J. & Miller, K. J. (1995) DSM-III, DSM-IV and ICD-10 as severity scales for drug dependence, Drug and Alcohol Dependence, 39, 139-150.
28. Lewinsohn, P. M., Rohde, P. & Seeley, J. R. (1996) Alcohol consumption in high school adolescents: frequency of use and dimensional structure of associated problems, Addiction, 91, 375-390.
29. Maisto, S. A. & McKay, J. R. (1995) Diagnosis, in: Allen, J. P. & Columbus, M. (Eds) Assessing Alcohol Problems: a guide for clinicians and researchers, (pp. 41-54) National Institute on Alcohol Abuse and Alcoholism Treatment Handbook Series 4, NIH Publication No. 95-3745 (Bethesda, MD, NIH).
30. Martin, C. S., Kaczynski, N. A., Maisto, S. A., Bukstein, O. M. & Moss, H. B. (1995) Patterns of DSM-IV alcohol abuse and dependence symptoms in adolescent drinkers, Journal of Studies on Alcohol, 56, 672-680.
31. Martin, C. S., Langenbucher, J. W., Kaczynski, N. A. & Chung, T. (1996) Staging in the onset of DSM-IV alcohol symptoms in adolescents: survival/ hazard analyses, Journal of Studies on Alcohol, 57, 549-558.
32. McDonald, R. P. (1985) Factor Analysis and Related Methods (Hillsdale, NJ, Lawrence Erlbaum Associates, Inc).
33. Minnesota Department of Human Services (1997) 1996 Minnesota Student Survey: alternative schools and area learning centers (St Paul, MN).
34. Morgenstern, J., Langenbucher, J. & Labouvie, E. W. (1994) The generalizability of the dependence syndrome across substances: an examination of some properties of the proposed DSM-IV dependence criteria, Addiction, 89, 1105-1113.
35. Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S. & Stil Well, C. D. (1989) Evaluation of goodness-of-fit indices for structural equation models, Psychological Bulletin, 105, 430-445.
36. Muthén, B. O. (1993) Goodness of fit with categorical and other nonnormal variables, in: Bollen, K. A. & Long, J. S. (Eds) Testing Structural Equation Models, pp. 205-234 (Newbury Park, CA, Sage Publications, Inc).
37. Muthén, B. O., Grant, B. & Hasin, D. (1993) 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, 88, 1079-1090.
38. Nathan, P. E. (1991) Substance use disorders in the DSM-IV. Special issue: Diagnoses, dimensions, and DSM-IV: the science of classification, Journal of Abnormal Psychology, 100, 356-361.
39. Nelson-Gray, R. O. (1991) DSM-IV: empirical guidelines from psychometrics Journal of Abnormal Psychology, 100, 308-315.
40. Rounsaville, B. J., Spitzer, R. L. & Willams, J. B. W. (1986) Proposed changes in DSM-III substance use disorders: description and rationale, American Journal of Psychiatry, 143, 463-468.
41. Schuckit, M. A., Nathan, P. E., Helzer, J. E., Woody, G. E. & Crowley, T. J. (1991) Evolution of the DSM diagnostic criteria for alcoholism, Alcohol, Health & Research World, 15, 278-283.
42. Smith, G. T., McCarthy, D. M. & Goldman, M. S. (1995) Self-reported drinking and alcohol-related problems among early adolescents: dimensionality and validity over 24 months, Journal of Studies on Alcohol, 56, 383-394.
43. Waldman, I. D., Lilienfeld, S. O. & Lahey, B. B. (1995) Toward construct validity in the childhood disruptive behavior disorders: classification and diagnosis in DSM-IV and beyond, in: Ollenick, T. H. & Prinz, R. J. (Eds) Advances in Clinical Child Psychology, vol. 17 (pp. 323-363) (New York, Plenum Press).
44. White, H. R. (1987) Longitudinal stability and dimensional structure of problem drinking in adolescence, Journal of Studies on Alcohol, 48, 541-550.
45. Widiger, T. A. & Trull, T. J. (1991) Diagnosis and clinical assessment, Annual Review of Psychology, 42, 109-133.
46. Winters, K. C., Latimer, W. & Stinchfield, R. D. (1999) The DSM-IV criteria for adolescent alcohol and cannabis use disorders, Journal of Studies on Alcohol, in press.
47. Winters, K. C., Stinchfield, R. D., Fulkerson, J. & Henly, G. A. (1993) Measuring alcohol and cannabis use disorders in an adolescent clinical sample, Psychology of Addictive Behaviors, 7, 185-196.
48. Wothke, W. (1993) Nonpositive definite matrices in structural modeling, in: Bollen, K. A. & Long, J. S. (Eds) Testing Structural Equation Models, pp. 256-293 (Newbury Park, CA, Sage Publications, Inc).