Maternal Ratings of Attention Problems in ADHD: Evidence for the Existence of a Continuum

Journal of the American Academy of Child and Adolescent Psychiatry

Volumn 48, Issue 11, 2009, Pages 1085-1093

  Lubke, Gitta H ^a   Hudziak, James J ^a   Derks, Eske M ^a   van Bijsterveldt, Toos C E M ^a   Boomsma, Dorret I ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

attention problems; CBCL; DSM; factor mixture analysis; latent class analysis

Indexed keywords

ARTICLE; ATTENTION; ATTENTION DEFICIT DISORDER; CASE REPORT; CHILD; CHILD BEHAVIOR CHECKLIST; DREAMING; HUMAN; HYPERACTIVITY; IMPULSIVENESS; MALE; NERVOUSNESS; PRIORITY JOURNAL;

ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; CENTRAL NERVOUS SYSTEM STIMULANTS; CHILD; CROSS-SECTIONAL STUDIES; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; DISEASES IN TWINS; DRUG UTILIZATION; HUMANS; LONGITUDINAL STUDIES; MALE; METHYLPHENIDATE; NETHERLANDS; PERSONALITY ASSESSMENT; PHENOTYPE; PSYCHOMETRICS; REPRODUCIBILITY OF RESULTS;

EID: 71149089184     PISSN: 08908567     EISSN: 15275418     Source Type: Journal    
DOI: 10.1097/CHI.0b013e3181ba3dbb     Document Type: Article

References (37)

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 4th Edition Text Revision (DMS-IV-TR) (2000), American Psychiatric Association, Washington, DC
2. Hudziak J.J., Achenbach T.A., Althoff R.R., and Pine D.S. A dimensional approach to developmental psychopathology. In: Helzer J.E., Kraemer H.C., Krueger R.F., Wittchen H.U., Sirovatka R.J., and Regier D.A. (Eds). American Psychiatric Association. Dimensional Approaches in Diagnostic Classification Refining the Research Agenda for DSM-V (2008), American Psychiatric Association, Washington, DC 101-114
3. Hudziak J.J., Heath A.C., Madden P.F., et al. Latent class and factor analysis of DSM-IV ADHD: a twin study of female adolescents. J Am Acad Child Adolesc Psychiatry 37 (1998) 848-857
4. Lubke G.H., Muthen B., Moilanen I.K., et al. Subtypes versus severity differences in attention-deficit hyperactivity disorder in the Northern Finnish Birth Cohort. J Am Acad Child Adolesc Psychiatry 46 (2007) 1584-1593
5. Polderman T.J., Derks E.M., Hudziak J.J., Verhulst F.C., Posthuma D., and Boomsma D.I. Across the continuum of attention skills: a twin study of the SWAN ADHD rating scale. J Child Psychol Psychiatry 48 (2007) 1080-1087
6. Neuman R.J., Sitdhiraksa N., Reich W., et al. Estimation of prevalence of DSM-IV and latent class-defined ADHD subtypes in a population-based sample of child and adolescent twins. Twin Res Hum Genet 8 (2005) 392-401
7. Rasmussen E.R., Neuman R.J., Heath A.C., Levy F., Hay D.A., and Todd R.D. Familial clustering of latent class and DSM-IV defined attention-deficit/hyperactivity disorder (ADHD) subtypes. J Child Psychol Psychiatry 45 (2004) 589-598
8. Rasmussen E.R., Neuman R.J., Heath A.C., Levy F., Hay D.A., and Todd R.D. Replication of the latent class structure of attention-deficit/hyperactivity disorder (ADHD) subtypes in a sample of Australian twins. J Child Psychol Psychiatry 43 (2002) 1018-1028
9. Todd R.D., and Lobos E.A. Mutation screening of the dopamine D2 receptor gene in attention-deficit hyperactivity disorder subtypes: preliminary report of a research strategy. Am J Med Genet 114 (2002) 34-41
10. Todd R.D., Sitdhiraksa N., Reich W., et al. Discrimination of DSM-IV and latent class attention-deficit/hyperactivity disorder subtypes by educational and cognitive performance in a population-based sample of child and adolescent twins. J Am Acad Child Adolesc Psychiatry 41 (2002) 820-828
11. Achenbach T.M. Manual for the Child Behavior Checklist/4-18 and 1991 profile (1990), University of Vermont, Department of Psychiatry, Burlington, VT
12. Biederman J., Faraone S.V., Doyle A., et al. Convergence of the Child Behavior Checklist with structured interview-based psychiatric diagnoses of ADHD children with and without comorbidity. J Child Psychol Psychiatry 34 (1993) 1241-1251
13. Boomsma D.I., de Geus E.J., Vink J.M., et al. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet 9 (2006) 849-857
14. Bartels M., van Beijsterveldt C.E., Derks E.M., et al. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet 10 (2007) 3-11
15. Lubke G.H., and Neale M.C. Distinguishing between latent classes and continuous factors with categorical outcomes: class invariance of parameters of factor mixture models. Multivariate Behav Res 43 (2008) 592-620
16. Little R., and Rubin D.B. Statistical Analysis with Missing Data. 2nd ed. (2002), John Wiley and Sons, New York
17. Derks E.M., Hudziak J.J., Dolan C.V., van Beijsterveldt T., Verhulst F.C., and Boomsma D.I. Genetic and environmental influences on the relation between attention problems and attention deficit hyper-activity disorder. Behav Genet 38 (2008) 11-23
18. Verhulst F.C., van der Ende J., and Koot H. Handleiding voor de CBCL/4-18 [Manual for the CBCL/4-18] (1996), Afdeling Kinderen Jeugdpsychiatrie Sophia Kinderziekenhuis, Academisch Ziekenhuis Rotterdam, Erasmus Universiteit Rotterdam, Rotterdam
19. Yung Y.F. Finite mixtures in confirmatory factor analysis models. Psychometrika 62 (1997) 297-330
20. Dolan C.V., and van der Maas H.L.J. Fitting multivariate normal finite mixtures subject to structural equation modeling. Psychometrika 63 (1998) 227-253
21. Muthén B., and Shedden K. Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics 55 (1999) 463-469
22. Nylund K., Bellmore A., Nishina A., and Graham S. Subtypes, severity, and structural stability of peer victimization: what does latent class analysis say?. Child Development 78 (2007) 1706-1722
23. Neale M.C., Aggen S.H., Maes H.H., Kubarych T.S., and Schmitt J.E. Methodological issues in the assessment of substance use phenotypes. Addict Behav 31 (2006) 1010-1034
24. Nagin D.S., and Land K.C. Age, criminal careers, and population heterogeneity: specification and estimation of a nonparametric, mixed Poisson model. Criminology 31 (1993) 327-362
25. Lubke G.H., and Neale M.C. Distinguishing between latent classes and continuous factors: resolution by maximum likelihood?. Multivariate Behav Res 41 (2006) 499-532
26. Lubke G.H., and Muthén B.O. Investigating population heterogeneity with factor mixture models. Psychol Methods 10 (2005) 21-39
27. Nylund K.L., Asparouhov T., and Muthén B.O. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo Simulation Study. Struct Equation Model 14 (2007) 535-569
28. Lo Y., Mendell N., and Rubin D.B. Testing the number of components in a normal mixture. Biometrika 88 (2001) 767-778
29. Tueller S., and Lubke G.H. Evaluation of structural equation mixture models: parameter estimates and correct class assignment. Struct Equation Model 43 (2008) 592-620
30. Muthén L.K., and Muthén B. Mplus User's Guide. 4th ed. (1998-2006), Muthen & Muthen, Los Angeles
31. Asparouhov T. General multi-level modeling with sampling weights. Commun Stat Theory Methods 35 (2006) 439-460
32. White H. Maximum likelihood estimation of misspecified models. Econometrica 50 (1982) 1-25
33. Meehl P.E. Factors and taxa, traits and types, differences of degree and differences in kind. J Personality 60 (1992) 117-174
34. Lubke GH, Tueller S. (submitted). Latent class detection and latent class assignment: a comparison of taxometric and factor mixture modeling approaches.
35. Martin N., Boomsma D.I., and Machin G. A twin-pronged attack on complex traits. Nat Genet 17 (1997) 387-391
36. Muthén B., Asparouhov T., and Rebollo I. Advances in behavioral genetics modeling using Mplus: applications of factor mixture modeling to twin data. Twin Res Hum Genet 9 (2006) 313-324
37. Lubke G.H., Carey G., Lessem J., and Hewitt J. Using observed genetic variables to predict latent class membership: a comparison of two methods. Behav Genet 38 (2008) 612-653