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Symptom differentiation of anxiety and depression across youth development and clinic-referred/nonreferred samples: An examination of competing factor structures of the Child Behavior Checklist DSM-oriented scales

Published online by Cambridge University Press:  08 November 2013

Maggi Price ,
Charmaine Higa-McMillan ,
Chad Ebesutani ,
Kelsie Okamura ,
Brad J. Nakamura ,
Bruce F. Chorpita  and
John Weisz
Maggi Price
Affiliation:
University of Hawaii, Hilo
Charmaine Higa-McMillan*
Affiliation:
University of Hawaii, Hilo
Chad Ebesutani
Affiliation:
Duksung University, Seoul
Kelsie Okamura
Affiliation:
University of Hawaii, Manoa
Brad J. Nakamura
Affiliation:
University of Hawaii, Manoa
Bruce F. Chorpita
Affiliation:
University of California, Los Angeles
John Weisz
Affiliation:
Harvard University
*
Address correspondence and reprint requests to: Charmaine Higa-McMillan, 200 West Kawili Street, Hilo, HI 96720; E-mail: higac@hawaii.edu.
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Abstract

This study examined the psychometric properties of the DSM-oriented scales of the Child Behavior Checklist (Achenbach, Dumenci, & Rescorla, 2003) using confirmatory factor analysis to compare the six-factor structure of the DSM-oriented scales to competing models consistent with developmental theories of symptom differentiation. We tested these models on both clinic-referred (N = 757) and school-based, nonreferred (N = 713) samples of youths in order to assess the generalizability of the factorial structures. Although previous research has supported the fit of the six-factor DSM-oriented structure in a normative sample of youths ages 7 to 18 (Achenbach & Rescorla, 2001), tripartite model research indicates that anxiety and depressive symptomology are less differentiated among children compared to adolescents (Jacques & Mash, 2004). We thus examined the relative fit of a six- and a five-factor model (collapsing anxiety and depression) with younger (ages 7–10) and older (ages 11–18) youth subsamples. The results revealed that the six-factor model fit the best in all samples except among younger nonclinical children. The results extended the generalizability of the rationally derived six-factor structure of the DSM-oriented scales to clinic-referred youths and provided further support to the notion that younger children in nonclinical samples exhibit less differentiated symptoms of anxiety and depression.

Type
Regular Articles
Information
Development and Psychopathology , Volume 25 , Issue 4pt1 , November 2013 , pp. 1005 - 1015
Copyright
Copyright © Cambridge University Press 2013 

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References

Achenbach, T. M. (1991). Integrative guide for the 1991 CBCL/4–18, YSR and TRF Profiles. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M., Connors, C. K., Quay, H. C., Verhulst, F. C., & Howell, C. T. (1989). Replication of empirically derived syndromes as a basis for taxonomy of child/adolescent psychopathology. Journal of Abnormal Child Psychology, 17, 299–323. doi:10.1007/BF00917401Google Scholar
Achenbach, T. M., Dumenci, L., & Rescorla, L. A. (2003). DSM-Oriented and empirically based approaches to constructing scales from the same item pools. Journal of Clinical Child and Adolescent Psychology, 32, 328–40. doi:10.1207/S15374424JCCP3203_02CrossRefGoogle ScholarPubMed
Achenbach, T. M., McConaughy, S. H., & Howell, C. T. (1987). Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 11, 213–232. doi:10.1037/0033-2909.101.2.213Google Scholar
Achenbach, T., & Rescorla, L. (2001). The manual for the ASEBA School-Age Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.Google Scholar
Anderson, J. C., Williams, S., McGee, R., & Silva, P. A. (1987). DSM-III disorders in preadolescent children: Prevalence in a large sample from the general population. Archives of General Psychiatry, 44, 69–76.Google Scholar
Asparouhov, T., & Muthén, B. (2006, May 26). Robust chi square difference testing with mean and variance adjusted test statistics. Mplus Web Notes, No. 10. Retrieved September 5, 2011, from http://www.statmodel.com/download/webnotes/webnote10.pdfGoogle Scholar
Barbosa, J., Tannock, R., & Manassis, K. (2002). Measuring anxiety: Parent–child reporting differences in clinical samples. Depression & Anxiety, 15, 61–65. doi:10.1002/da.10022CrossRefGoogle ScholarPubMed
Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238Google Scholar
Boivin, M., Hymel, S., & Bukowski, W. (1995). The roles of social withdrawal, peer rejection, and victimization by peers in predicting loneliness and depressed mood in childhood. Development and Psychopathology, 7, 765–785. doi:10.1017/S0954579400006830Google Scholar
Boivin, M., Poulin, F., & Vitaro, F. (1994). Depressed mood and peer rejection in childhood. Development and Psychopathology, 6, 483–498. doi:10.1017/S0954579400006064Google Scholar
Brady, E. U., & Kendall, P. C. (1992). Comorbidity of anxiety and depression in children and adolescents. Psychological Bulletin, 111, 244–255. doi:10.1037/0033-2909.111.2.244Google Scholar
Brooks-Gunn, J., & Petersen, A. (1991). Studying the emergence of depression and depressive symptoms during adolescence. Journal of Youth and Adolescence, 20, 115–119.Google Scholar
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.Google Scholar
Browne, M. A., & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K. A. & Long, J. S. (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.Google Scholar
Burnett, P. C. (1995). Irrational beliefs and self-esteem: Predictors of depressive symptoms in children? Journal of Rational-Emotive & Cognitive-Behavior Therapy, 13, 193–201. doi:10.1007/BF02354510Google Scholar
Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456–466. doi:10.1037/0033-2909.105.3.456Google Scholar
Cannon, M. F., & Weems, C. F. (2006). Do anxiety and depression cluster into distinct groups? A test of tripartite model predictions in a community sample of youth. Journal of Depression and Anxiety, 23, 453–460. doi:10.1002/da.20215Google Scholar
Carey, M. P., Finch, A. J., & Imm, P. (1989, November). Differentiating depressive and anxiety disorders from other child psychiatric disorders: The role of overt behavior, cognition, and emotions. Paper presented at the Association for the Advancement of Behavior Therapy, Washington, DC.Google Scholar
Cheung, G. W., & Rensvold, R. B. (1998). Testing factorial invariance across groups: A Reconceptualization and proposed new method. Journal of Management, 25, 1–27. doi:10.1177/014920639902500101Google Scholar
Chorpita, B. F. (2000). The tripartite model and dimensions of anxiety and depression: An examination of structure in a large school sample. Journal of Abnormal Child Psychology, 30, 177–190. doi:10.1023/A:1014709417132Google Scholar
Chorpita, B. F., Albano, A. M., & Barlow, D. H. (1998). The structure of negative emotions in a clinical sample of children and adolescents. Journal of Abnormal Psychology, 107, 74–85. doi:10.1037/0021-843X.107.1.74Google Scholar
Chorpita, B. F., Plummer, C. M., & Moffitt, C. E. (2000). Relations of tripartite dimensions of emotion to childhood anxiety and mood disorders. Journal of Abnormal Child Psychology, 28, 299–310. doi:10.1023/A:1005152505888Google Scholar
Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316–336. doi:10.1037/0021-843X.100.3.316Google Scholar
Cohen, P., Cohen, J., Kasen, S., Velez, C. H., Hartmark, C., Johnson, J., et al. (1993). An epidemiological study of disorders in late adolescence: I. Age- and gender-specific prevalence. Journal of Child Psychology and Psychiatry, 6, 851–867.CrossRefGoogle Scholar
Cole, D. A., Truglio, R., & Peeke, L. (1997). Relation between symptoms of anxiety and depression in children: A multitrait–multimethod–multigroup assessment. Journal of Consulting and Clinical Psychology, 65, 110–119. doi:10.1037/0022-006X.65.1.110Google Scholar
Costello, E. J., Costello, A. J., Edelbrock, C., Burns, B. J., Dulcan, M. K., Brent, D., et al. (1988). Psychiatric disorders in pediatric primary care: Prevalence and risk factors. Archives of General Psychiatry, 45, 1107–1116.Google Scholar
De Bolle, M., Decupyer, M., De Clercq, B., & De Fruyt, F. (2010). Relevance of the tripartite dimensions of affect for anxiety and depression in youth: Examining sex and psychopathology status. Journal of Abnormal Child Psychology, 38, 935–948.Google Scholar
De Bolle, M., & De Fruyt, F. (2010). The tripartite model in childhood and adolescence: Future directions for developmental research. Child Development Perspectives, 4, 174–180. doi:10.1111/j.1750-8606.2010.00136.xCrossRefGoogle Scholar
De Los Reyes, A., & Kazdin, A. E. (2005). Informant discrepancies in the assessment of childhood psychopathology: A critical review, theoretical framework, and recommendations for further study. Psychological Bulletin, 131, 483–509. doi:10.1037/0033-2909.131.4.483Google Scholar
Ebesutani, C., Bernstein, A., Nakamura, B. J., Chorpita, B. F., Higa-McMillan, C. K., Weisz, J., et al. (2010). Concurrent validity of the Child Behavior Checklist DSM-oriented scales: Correspondence with DSM diagnoses and comparison to syndrome scales. Journal of Psychopathology and Behavioral Assessment, 32, 373–384. doi:10.1007/s10862-009-9174-9Google Scholar
Ehrenreich, J. T., Goldstein, C. R., Wright, L. R., & Barlow, D. H. (2009). Development of a unified protocol for the treatment of emotional disorders in youth. Child and Family Behavior Therapy, 31, 20–37. doi:10.1080/07317100802701228Google Scholar
Essau, C., Conradt, J., & Petermann, F. (2000). Frequency, comorbidity, and psychosocial impairment disorders in German adolescents. Journal of Anxiety Disorders, 14, 263–279. doi:10.1016/S0887-6185(99)00039-0Google Scholar
Fawcett, J. (2009). Report on the DSM-V mood disorders work group. Retrieved September 10, 2011, from http://www.psych.org/MainMenu/Research/DSMIV/DSMV/DSMRevisionActivities/DSM-V-Work-Group-Reports/Mood-Disorders-Work-Group-Report.aspxGoogle Scholar
Ferdinand, R. F. (2008). Validity of the CBCL/YSR DSM-IV scales anxiety problems and affective problems. Journal of Anxiety Disorders, 22, 126–134. doi:10.1016/j.janxdis.2007.01.008Google Scholar
Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466–491. doi:10.1037/1082-989X.9.4.466Google Scholar
Gurley, D., Cohen, P., Pine, D., & Brook, J. (1996). Discriminating depression and anxiety in youth: A role for diagnostic criteria. Journal of Affective Disorders, 39, 191–200. doi:10.1016/0165-0327(96)00020-1Google Scholar
Hartman, C. A., Hox, J., Mellenbergh, G., Boyle, M., Offord, D., Racine, Y., et al. (2001). DSM-IV internal construct validity: When a taxonomy meets data. Journal of Child Psychology and Psychiatry, 42, 817–836. doi:10.1111/1469-7610.00778Google Scholar
Higa-McMillan, C. K., Smith, R. L., Chorpita, B. F., & Hayashi, K. (2008). Common and unique factors associated with DSM-IV-TR internalizing disorders in children. Journal of Abnormal Child Psychology, 36, 1279–1288. doi:10.1007/s10802-008-9250-8Google Scholar
Hiller, W., Zaudig, M., & von Bose, M. (1989). The overlap between depression and anxiety on different levels of psychopathology. Journal of Affective Disorders, 16, 223–231. doi:10.1016/0165-0327(89) 90077-3Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/ 10705519909540118Google Scholar
Jacques, H. A., & Mash, E. J. (2004). A test of the tripartite model of anxiety and depression in elementary and high school boys and girls. Journal of Abnormal Child Psychology, 32, 13–25. doi:10.1023/B:JACP.0000007577.38802.18Google Scholar
Jensen, P. S., Rubio-Stipec, M., Canino, G., Bird, H. R., Dulcan, M. K., Schwab-Stone, M. E., et al. (1999). Parent and child contributions to diagnosis of mental disorder: Are both informants always necessary? Journal of the American Academy of Child & Adolescent Psychiatry, 38, 1569–1579. doi:10.1097/00004583-199912000-00019Google Scholar
Joiner, T. E., Catanzaro, S. J., & Laurent, J. (1996). Tripartite structure of positive and negative affect, depression, and anxiety in child and adolescent psychiatric inpatients. Journal of Abnormal Psychology, 105, 401–409. doi:10.1037/0021-843X.105.3.401Google Scholar
Katon, W., & Roy-Byrne, P. P. (1991). Mixed anxiety and depression. Journal of Abnormal Psychology, 100, 316–336. doi:10.1037/0021-843X.100.3.337CrossRefGoogle ScholarPubMed
Kovacs, M., Gatsonis, C., Paulauskas, S. L., & Richards, C. (1990). Depressive disorders in childhood: IV. A longitudinal study of comorbidity with and risk for anxiety disorders. In Chess, S. & Hertzig, M. E. (Eds.), Annual progress in child psychiatry and child development (pp. 387–407). London: Routledge.Google Scholar
Kupersmidt, J. B., & Patterson, C. J. (1991). Childhood peer rejection, aggression, withdrawal and perceived competence as predictors of self-report behavior problems in preadolescence. Journal of Abnormal Child Psychology, 19, 427–449. doi:10.1007/BF00919087Google Scholar
Lahey, B. B., Rathouz, P. J., Van Hulle, C., Urbano, R. C., Krueger, R. F., Applegate, B., et al. (2008). Testing structural models of DSM-IV symptoms of common forms of child and adolescent psychopathology. Journal of Abnormal Child Psychology, 36, 187–206. doi:10.1007/s10802-007-9169-5Google Scholar
Lewinsohn, P. M., Rohde, P., & Seeley, J. R. (1998). Major depressive disorder in older adolescents: Prevalence, risk factors, and clinical implications. Clinical Psychology Review, 18, 765–794. doi:10.1016/S0272-7358(98)00010-5Google Scholar
Lonigan, C. J., Hooe, E. S., David, C. F., & Kistner, J. A. (1999). Positive and negative affectivity in children: Confirmatory factor analysis of a two-factor model and its relation to symptoms of anxiety and depression. Journal of Consulting and Clinical Psychology, 67, 374–386. doi:10.1037/0022-006X.67.3.374CrossRefGoogle ScholarPubMed
Lubke, G., & Muthén, B. (2004). Factor-analyzing Likert scale data under the assumption of multivariate normality complicates a meaningful comparison of observed groups or latent classes. Structural Equation Modeling, 11, 514–534.CrossRefGoogle Scholar
Masi, G., Mucci, M., Favilla, L., Romano, R., & Poli, P. (1999). Symptomology and comorbidity of generalized anxiety disorder in children and adolescents. Comprehensive Psychiatry, 40, 210–215. doi:10.1016/S0010-440X(99)90005-6Google Scholar
Muthén, B., & Asparouhov, T. (2002). Latent variable analysis with categorical outcomes: Multiple-group and growth modeling in Mplus. Version 5. Unpublished manuscript.Google Scholar
Muthén, B., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Unpublished manuscript. Retrieved from http://pages.gseis.ucla.edu/faculty/muthen/articles/Article_075.pdfGoogle Scholar
Muthén, L. K. (2007, July 11). Re: Chi-square difference test in categorical data [Online discussion group]. Retrieved from http://www.statmodel.com/discussion/messages/23/257.html?1329330594Google Scholar
Muthén, L. K., & Muthén, B. O. (2006). Mplus user's guide (4th ed.). Los Angeles: Sage.Google Scholar
Nakamura, B. J., Ebesutani, C., Bernstein, A., & Chorpita, B. F. (2009). A psychometric analysis of the Child Behavior Checklist DSM-oriented scales. Journal of Psychopathology and Behavioral Assessment, 31, 178–189. doi:10.1007/s10862-008-9119-8Google Scholar
Nolen-Hoeksema, S., Girgus, J. S., & Seligman, M. E. P. (1991). Sex differences in depression and explanatory style in children. Journal of Youth and Adolescence, 20, 233–245.Google Scholar
Ohannessian, C. M., Lerner, R. M., Lerner, J. V., & von Eye, A. (1999). Does self-competence predict gender differences in adolescent depression and anxiety? Journal of Adolescence, 22, 397–411. doi:10.1006/jado.1999.0231Google Scholar
Piaget, J. (1983). Piaget's theory. In Mussen, P. (Ed.), Handbook of child psychology (Vol. 1, 4th ed.). New York: Wiley.Google Scholar
Rohde, P., Lewinsohn, P. M., & Seeley, J. R. (1991). Comorbidity of unipolar depression: II. Comorbidity with other mental disorders in adolescents and adults. Journal of Abnormal Psychology, 100, 214–222. doi:10.1037/0021-843X.100.2.214Google Scholar
Saluja, G., Iachan, R., Scheidt, P. C., Overpeck, M. D., Sun, W., & Giedd, J. N. (2004). Prevalence of and risk factors for depressive symptoms among young adolescents. Archives of Pediatric and Adolescent Medicine, 158, 760–765.Google Scholar
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173–180. doi:10.1207/s15327906mbr2502_4Google Scholar
Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10. doi:10.1007/BF02291170Google Scholar
Turner, C. M., & Barrett, P. M. (2003). Does age play a role in the structure of anxiety and depression in children and youths? An investigation of the tripartite model in three age cohorts. Journal of Consulting & Clinical Psychology, 71, 826–833. doi:10.1037/0022-006X.71.4.826Google Scholar
UCLA, Academic Technology Services, Statistical Consulting Group. (2011). MPlus FAQ. Retrieved August 10, 2011, from http://www.ats.ucla.edu/stat/mplus/faq/two_group_measurement_model.htmGoogle Scholar
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–69. doi:10.1177/109442810031002Google Scholar
van Lang, N., Ferdinand, R., Ormel, J., & Verhulst, F. (2006). Latent class analysis of anxiety and depressive symptoms of the youth self-report in a general population sample of young adolescents. Behaviour Research and Therapy, 44, 849–860. doi:10.1016/j.brat.2005.06.004Google Scholar
Watson, D. (2005). Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology, 114, 522–536. doi:10.1037/0021-843X.114.4.522Google Scholar
Watson, D., & Clark, L. A. (1984). Negative affectivity: The disposition to experience aversive emotional states. Psychological Bulletin, 96, 465–490. doi:10.1037/0033-2909.96.3.465Google Scholar
Watson, D., & Tellegen, A. (1985). Toward a consensual structure of mood. Psychological Bulletin, 98, 219–235. doi:10.1037/0033-2909.98.2.219Google Scholar
Weems, C. F., Saltzman, K. M., Reiss, A. L., & Carrion, V. G. (2003). A prospective test of the association between emotional numbing and hyperarousal in youth with a history of traumatic stress. Journal of Clinical Child and Adolescent Psychology, 32, 166–171. doi:10.1207/S15374424JCCP3201_15Google Scholar
Weiner, B., & Graham, S. (1988). An attributional approach to emotional development. In Izard, C. E., Kagan, J., & Zajonc, R. B. (Eds.), Emotions, cognitions, and behavior (pp. 167–191). New York: Cambridge University Press.Google Scholar
Zinbarg, R. E., Barlow, D. H., Liebowitz, M., Street, L., Broadhead, E., Katon, W., et al. (1994). The DSM-IV field trial for mixed anxiety-depression. American Journal of Psychiatry, 151, 1153–1162. doi:10.1016/S0010-440X(00)80009-7Google Scholar