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Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span

Published online by Cambridge University Press:  14 October 2016

Miriam K. Forbes*
Affiliation:
University of Minnesota
Jennifer L. Tackett
Affiliation:
Northwestern University
Kristian E. Markon
Affiliation:
University of Iowa City
Robert F. Krueger
Affiliation:
University of Minnesota
*
Address correspondence and reprint requests to: Miriam Forbes, Department of Psychiatry, University of Minnesota, 2450 Riverside Avenue, F227, Minneapolis, MN 55454; E-mail: mkforbes@umn.edu.

Abstract

We propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories and to move toward research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the internalizing and externalizing spectra as organizing constructs for research on common forms of psychopathology. The internalizing and externalizing spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the internalizing and externalizing spectra as central constructs to guide future psychopathology research across the life span. The framework is particularly flexible, because any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular and explore avenues for future research.

Type
Special Issue Articles
Copyright
Copyright © Cambridge University Press 2016 

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References

Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4–18 and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M. (2009). The Achenbach System of Empirically Based Assessemnt (ASEBA): Development, findings, theory, and applications. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
Achenbach, T. M., & Edelbrock, C. S. (1978). The classification of child psychopathology: A review and analysis of empirical efforts. Psychological Bulletin, 85, 12751301.CrossRefGoogle ScholarPubMed
Achenbach, T. M., & Edelbrock, C. S. (1984). Psychopathology of childhood. Annual Review of Psychology, 35, 227256.Google Scholar
Achenbach, T. M., Howell, C. T., & Quay, H. C. (1991). National survey of problems and competencies among four- to sixteen-year-olds: Parents’ reports for normative and clinical samples. Monographs of the Society for Research in Child Development, 56, 1131.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2001a). Manual for the Achenbach System of Empirically Based Assessment school-age forms profiles. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2001b). Manual for the ASEBA school-age forms and profiles: Child Behavior Checklist for Age 6–18, Teacher's Report Form, Youth Self-Report, and integrated system of multi-informant assessment. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2003). Manual for the ASEBA adult forms and profiles. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Barlow, D. H., Farchione, T. J., Fairholme, C. P., Ellard, K. K., Boisseau, C. L., Allen, L. B., et al. (2010). Unified protocol for transdiagnostic treatment of emotional disorders: Therapist guide. New York: Oxford University Press.Google Scholar
Beauchaine, T. P., & McNulty, T. (2013). Comorbidities and continuities as ontogenic processes: Toward a developmental spectrum model of externalizing psychopathology. Development and Psychopathology, 25, 15051528.CrossRefGoogle Scholar
Bergen, S. E., Gardner, C. O., & Kendler, K. S. (2007). Age-related changes in heritability of behavioral phenotypes over adolescence and young adulthood: A meta-analysis. Twin Research and Human Genetics, 10, 423433.Google Scholar
Boyd, J. H., Burke, J. D. J., Gruenberg, E., Holzer, C. E. R., Rae, D. S., George, L. K., et al. (1984). Exclusion criteria of DSM-III: A study of co-occurrence of hierarchy-free syndromes. Archives of General Psychiatry, 41, 983989.Google Scholar
Burnette, M. L., & Cicchetti, D. (2012). Multilevel approaches toward understanding antisocial behavior: Current research and future directions. Development and Psychopathology, 24, 703704.Google Scholar
Burt, S. A. (2009). Are there meaningful etiological differences within antisocial behavior? Results of a meta-analysis. Clinical Psychology Review, 29, 163178.CrossRefGoogle ScholarPubMed
Busseri, M. A., Willoughby, T., & Chalmers, H. (2006). A rationale and method for examining reasons for linkages among adolescent risk behaviors. Journal of Youth and Adolescence, 36, 279289.Google Scholar
Caron, C., & Rutter, M. (1991). Comorbidity in child psychopathology: Concepts, issues and research strategies. Journal of Child Psychology and Psychiatry, 32, 10631080.CrossRefGoogle ScholarPubMed
Carragher, N., Krueger, R. F., Eaton, N. R., & Slade, T. (2015). Disorders without borders: Current and future directions in the meta-structure of mental disorders. Social Psychiatry and Psychiatric Epidemiology, 50, 339350.Google Scholar
Carter, A. S., Briggs-Gowan, M. J., Jones, S. M., & Little, T. D. (2003). The Infant–Toddler Social and Emotional Assessment (ITSEA): Factor structure, reliability, and validity. Journal of Abnormal Child Psychology, 31, 495514.Google Scholar
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., et al. (2014). The p Factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119137.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., et al. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851854.CrossRefGoogle ScholarPubMed
Cicchetti, D., & Blender, J. A. (2004). A multiple-levels-of-analysis approach to the study of developmental processes in maltreated children. Proceedings of the National Academy of Sciences, 101, 1732517326.Google Scholar
Cicchetti, D., & Natsuaki, M. N. (2014). Multilevel developmental perspectives toward understanding internalizing psychopathology: Current research and future directions. Development and Psychopathology, 26(4, Part 2), 11891190.CrossRefGoogle ScholarPubMed
Connell, A. M., & Goodman, S. H. (2002). The association between psychopathology in fathers versus mothers and children's internalizing and externalizing behavior problems: A meta-analysis. Psychological Bulletin, 128, 746773.Google Scholar
Dick, D. M., Viken, R. J., Purcell, S., Kaprio, J., Pulkkinen, L., & Rose, R. J. (2007). Parental monitoring moderates the importance of genetic and environmental influences on adolescent smoking. Journal of Abnormal Psychology, 116, 213218.CrossRefGoogle ScholarPubMed
Doyle, M. M., Murphy, J., & Shevlin, M. (2016). Competing factor models of child and adolescent psychopathology. Journal of Abnormal Child Psychology. Advance online publication.CrossRefGoogle ScholarPubMed
Eaton, N. R. (2014). Transdiagnostic psychopathology factors and sexual minority mental health: Evidence of disparities and associations with minority stressors. Psychology of Sexual Orientation and Gender Diversity, 1, 244254.CrossRefGoogle ScholarPubMed
Eaton, N. R., Keyes, K. M., Krueger, R. F., Balsis, S., Skodol, A. E., Markon, K. E., et al. (2012). An invariant dimensional liability model of gender differences in mental disorder prevalence: Evidence from a national sample. Journal of Abnormal Psychology, 121, 282288.Google Scholar
Eaton, N. R., Keyes, K. M., Krueger, R. F., Noordhof, A., Skodol, A. E., Markon, K. E., et al. (2013). Ethnicity and psychiatric comorbidity in a national sample: Evidence for latent comorbidity factor invariance and connections with disorder prevalence. Social Psychiatry and Psychiatric Epidemiology, 48, 701710.Google Scholar
Eaton, N. R., Krueger, R. F., Markon, K. E., Keyes, K. M., Skodol, A. E., Wall, M., et al. (2013). The structure and predictive validity of the internalizing disorders. Journal of Abnormal Psychology, 122, 8692.CrossRefGoogle ScholarPubMed
Eaton, N. R., Krueger, R. F., & Oltmanns, T. F. (2011). Aging and the structure and long-term stability of the internalizing spectrum of personality and psychopathology. Psychology and Aging, 26, 987993.CrossRefGoogle ScholarPubMed
Eaton, N. R., Rodriguez-Seijas, C., Carragher, N., & Krueger, R. F. (2015). Transdiagnostic factors of psychopathology and substance use disorders: A review. Social Psychiatry and Psychiatric Epidemiology, 50, 171182.Google Scholar
Eaton, N. R., South, S. C., & Krueger, R. F. (2010). The meaning of comorbidity among common mental disorders. In Millon, T., Krueger, R. F., & Simonsen, E. (Eds.), Contemporary directions in psychopathology: Scientific foundations of the DSM-V and ICD-11 (pp. 223241). New York: Guilford Press.Google Scholar
Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2015). Where do sexual dysfunctions fit into the meta-structure of psychopathology? A factor mixture analysis. Archives of Sexual Behavior. Advance online publication.Google Scholar
Forbes, M. K., & Schniering, C. A. (2013). Are sexual problems a form of internalizing psychopathology? A structural equation modeling analysis. Archives of Sexual Behavior, 42, 2334.CrossRefGoogle ScholarPubMed
Forbush, K. T., & Watson, D. (2013). The structure of common and uncommon mental disorders. Psychological Medicine, 43, 97108.Google Scholar
Forbush, K. T., Wildes, J. E., Pollack, L. O., Dunbar, D., Luo, J., Patterson, K., et al. (2013). Development and validation of the Eating Pathology Symptoms Inventory (EPSI). Psychological Assessment, 25, 859.Google Scholar
Gilliom, M., & Shaw, D. S. (2004). Codevelopment of externalizing and internalizing problems in early childhood. Development and Psychopathology, 16, 313333.CrossRefGoogle ScholarPubMed
Gizer, I. R., Otto, J. M., & Ellingson, J. M. (2015). Molecular genetics of the externalizing spectrum. In T. P. Beauchaine & S. P. Hinshaw (Eds.), The Oxford handbook of externalizing disorders. New York: Oxford University Press.Google Scholar
Gjone, H., & Stevenson, J. (1997). The association between internalizing and externalizing behavior in childhood and early adolescence: Genetic or environmental common influences? Journal of Abnormal Child Psychology, 25, 277286.Google Scholar
Goldberg, D. P. (2011). The heterogeneity of “major depression.” World Psychiatry, 10, 226228.CrossRefGoogle ScholarPubMed
Goldberg, D. P. (2015). Psychopathology and classification in psychiatry. Social Psychiatry and Psychiatric Epidemiology, 50, 15.Google Scholar
Goldberg, D. P., Krueger, R. F., Andrews, G., & Hobbs, M. J. (2009). Emotional disorders: Cluster 4 of the proposed meta-structure for DSM-V and ICD-11. Psychological Medicine, 39, 20432059.Google Scholar
Gomez, R., Vance, A., & Gomez, R. M. (2014). The factor structure of anxiety and depressive disorders in a sample of clinic-referred adolescents. Journal of Abnormal Child Psychology, 42, 321332.Google Scholar
Guttmannova, K., Szanyi, J. M., & Cali, P. W. (2008). Internalizing and externalizing behavior problem scores: Cross-ethnic and longitudinal measurement invariance of the Behavior Problem Index. Educational and Psychological Measurement, 68, 676694.CrossRefGoogle Scholar
Hamdi, N. R., Krueger, R. F., & South, S. C. (2015). Socioeconomic status moderates genetic and environmental effects on the amount of alcohol use. Alcoholism: Clinical and Experimental Research, 39, 603610.Google Scholar
Haslam, N., Holland, E., & Kuppens, P. (2012). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine, 42, 903920.Google Scholar
Hicks, B. M., Krueger, R. F., Iacono, W. G., McGue, M., & Patrick, C. J. (2004). Family transmission and heritability of externalizing disorders: A twin-family study. Archives of General Psychiatry, 61, 922928.CrossRefGoogle ScholarPubMed
Hoertel, N., McMahon, K., Olfson, M., Wall, M. M., Rodriguez-Fernandez, J. M., Lemogne, C., et al. (2015). A dimensional liability model of age differences in mental disorder prevalence: Evidence from a national sample. Journal of Psychiatric Research, 64, 107113.CrossRefGoogle ScholarPubMed
Hopwood, C. J., Zimmermann, J., Pincus, A. L., & Krueger, R. F. (2015). Connecting personality structure and dynamics: Towards a more evidence-based and clinically useful diagnostic scheme. Journal of Personality Disorders, 29, 431448.Google Scholar
Iacono, W. G., Vaidyanathan, U., Vrieze, S. I., & Malone, S. M. (2014). Knowns and unknowns for psychophysiological endophenotypes: Integration and response to commentaries. Psychophysiology, 51, 13391347.Google Scholar
Insel, T. R. (2013). Director's blog: Transforming diagnosis. Retrieved from http://www.nimh.nih.gov/about/director/2013/transforming-diagnosis.shtml Google Scholar
Insel, T. R., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., et al. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167, 748751.Google Scholar
Irons, D. E., Iacono, W. G., Oetting, W. S., & McGue, M. (2012). Developmental trajectory and environmental moderation of the effect of ALDH2 polymorphism on alcohol use. Alcoholism: Clinical and Experimental Research, 36, 18821891.CrossRefGoogle ScholarPubMed
Jackson, K. M., Sher, K. J., & Wood, P. K. (2000). Trajectories of concurrent substance use disorders: A developmental, typological approach to comorbidity. Alcoholism: Clinical and Experimental Research, 24, 902913.Google Scholar
Jaffee, S. R., Moffitt, T. E., Caspi, A., Taylor, A., & Arseneault, L. (2002). Influence of adult domestic violence on children's internalizing and externalizing problems: An environmentally informative twin study. Journal of the American Academy of Child & Adolescent Psychiatry, 41, 10951103.CrossRefGoogle ScholarPubMed
Keiley, M. K., Howe, T. R., Dodge, K. A., Bates, J. E., & Petti, G. S. (2001). The timing of child physical maltreatment: A cross-domain growth analysis of impact on adolescent externalizing and internalizing problems. Development and Psychopathology, 13, 891912.CrossRefGoogle ScholarPubMed
Kendler, K. S., Aggen, S. H., Knudsen, G. P., Roysamb, E., Neale, M. C., & Reichborn-Kjennerud, T. (2011). The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV Axis I and all Axis II disorders. American Journal of Psychiatry, 168, 2939.Google Scholar
Kendler, K. S., Aggen, S. H., & Patrick, C. J. (2012). A multivariate twin study of the DSM-IV criteria for antisocial personality disorder. Biological Psychiatry, 71, 247253.Google Scholar
Kendler, K. S., Liu, X. Q., Gardner, C. O., McCullough, M. E., Larson, D., & Prescott, C. A. (2003). Dimensions of religiosity and their relationship to lifetime psychiatric and substance use disorders. American Journal of Psychiatry, 160, 496503.Google Scholar
Kendler, K. S., Prescott, C. A., Myers, J., & Neale, M. C. (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry, 60, 929937.Google Scholar
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 593602.CrossRefGoogle ScholarPubMed
Kessler, R. C., Chiu, W. T., Demler, O., Merikangas, K. R., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 617627.CrossRefGoogle ScholarPubMed
Kessler, R. C., Cox, B. J., Green, J. G., Ormel, J., McLaughlin, K. A., Merikangas, K. R., et al. (2011). The effects of latent variables in the development of comorbidity among common mental disorders. Depression and Anxiety, 28, 2939.Google Scholar
Kessler, R. C., Ormel, J., Petukhova, M., McLaughlin, K. A., Green, J. G., Russo, L. J., et al. (2011). Development of lifetime comorbidity in the World Health Organization world mental health surveys. Archives of General Psychiatry, 68, 90100.Google Scholar
Kim, H. K., & Eaton, N. R. (in press). The hierarchical structure of common mental disorders: Connecting multiple levels of comorbidity, bifactor models, and predictive validity. Journal of Abnormal Psychology.Google Scholar
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, M., et al. (2016). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Manuscript submitted for publication.Google Scholar
Kotov, R., Perlman, G., Gamez, W., & Watson, D. (2015). The structure and short-term stability of the emotional disorders: A dimensional approach. Psychological Medicine, 45, 16871698.CrossRefGoogle ScholarPubMed
Kozak, M. J., & Cuthbert, B. N. (2016). The NIMH Research Domain Criteria Initiative: Background, issues, and pragmatics. Psychophysiology, 53, 286297.Google Scholar
Kramer, M. D., Krueger, R. F., & Hicks, B. M. (2008). The role of internalizing and externalizing liability factors in accounting for gender differences in the prevalence of common psychopathological syndromes. Psychological Medicine, 38, 5161.CrossRefGoogle ScholarPubMed
Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921926.Google Scholar
Krueger, R. F., Caspi, A., Moffitt, T. E., & Silva, P. A. (1998). The structure and stability of common mental disorders (DSM-III-R): A longitudinal-epidemiological study. Journal of Abnormal Psychology, 107, 216.CrossRefGoogle ScholarPubMed
Krueger, R. F., Chentsova-Dutton, Y. E., Markon, K. E., Goldberg, D., & Ormel, J. (2003). A cross-cultural study of the structure of comorbidity among common psychopathological syndromes in the general health care setting. Journal of Abnormal Psychology, 112, 437447.Google Scholar
Krueger, R. F., & DeYoung, C. D. (in press). The RDoC initiative and the structure of psychopathology. Psychophysiology.Google Scholar
Krueger, R. F., & Eaton, N. R. (2012). Structural validity and the classification of mental disorders. Philosophical Issues in Psychiatry II: Nosology, 2, 199.Google Scholar
Krueger, R. F., & Eaton, N. R. (2015). Transdiagnostic factors of mental disorders. World Psychiatry, 14, 2729.Google Scholar
Krueger, R. F., & Finger, M. S. (2001). Using item response theory to understand comorbidity among anxiety and unipolar mood disorders. Psychological Assessment, 13, 140151.CrossRefGoogle ScholarPubMed
Krueger, R. F., Hicks, B. M., Patrick, C. J., Carlson, S. R., Iacono, W. G., & McGue, M. (2002). Etiologic connections among substance dependence, antisocial behavior and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology, 111, 411.Google Scholar
Krueger, R. F., Markon, K. E., Patrick, C. J., Benning, S. D., & Kramer, M. D. (2007). Linking antisocial behavior, substance use, and personality: An integrative quantitative model of the adult externalizing spectrum. Journal of Abnormal Psychology, 116, 645666.Google Scholar
Krueger, R. F., & Piasecki, T. M. (2002). Toward a dimensional and psychometrically-informed approach to conceptualizing psychopathology. Behaviour Research and Therapy, 40, 485499.CrossRefGoogle Scholar
Krueger, R. F., & South, S. C. (2009). Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11. Psychological Medicine, 39, 20612070.Google Scholar
Krueger, R. F., & Tackett, J. L. (2014). The externalizing spectrum of personality and psychopathology: An empirical and quantitative alternative to discrete disorder approaches. In Beauchaine, T. P. & Hinshaw, S. P. (Eds.), The Oxford handbook of externalizing spectrum disorders. New York: Oxford University Press.Google Scholar
Kushner, M. G. (2014). Seventy-five years of comorbidity research. Journal of Studies on Alcohol and Drugs, 75(Suppl. 17), 5058.Google Scholar
Kushner, S. C., Quilty, L. C., Tackett, J. L., & Bagby, R. M. (2011). The hierarchical structure of the Dimensional Assessment of Personality Pathology (DAPP-BQ). Journal of Personality Disorders, 25, 504516.CrossRefGoogle ScholarPubMed
Kushner, S. C., Tackett, J. L., & Bagby, R. M. (2012). The structure of internalizing disorders in middle childhood and evidence for personality correlates. Journal of Psychopathology and Behavioral Assessment, 34, 2234.Google Scholar
Laceulle, O. M., Vollebergh, W. A. M., & Ormel, J. (2015). The structure of psychopathology in adolescence: Replication of a general psychopathology factor in the TRAILS study. Clinical Psychological Science, 3, 850860.CrossRefGoogle Scholar
Lahey, B. B., Applegate, B., Waldman, I. D., Loft, J. D., Hankin, B. L., & Rick, J. (2004). The structure of child and adolescent psychopathology: Generating new hypotheses. Journal of Abnormal Psychology, 113, 358385.CrossRefGoogle ScholarPubMed
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, 187206.CrossRefGoogle ScholarPubMed
Lahey, B. B., Van Hulle, C. A., Singh, A. L., Waldman, I. D., & Rathouz, P. J. (2011). Higher-order genetic and environmental structure of prevalent forms of child and adolescent psychopathology. Archives of General Psychiatry, 68, 181189.CrossRefGoogle ScholarPubMed
Lahey, B. B., Zald, D. H., Hakes, J. K., Krueger, R. F., & Rathouz, P. J. (2014). Patterns of heterotypic continuity associated with the cross-sectional correlational structure of prevalent mental disorders in adults. JAMA Psychiatry, 71, 989996.CrossRefGoogle ScholarPubMed
Lansford, J. E., Malone, P. S., Stevens, K. I., Dodge, K. A., Bates, J. E., & Pettit, G. S. (2006). Developmental trajectories of externalizing and internalizing behaviors: Factors underlying resilience in physically abused children. Development and Psychopathology, 18, 3555.Google Scholar
Laumann, E. O., Paik, A., & Rosen, R. C. (1999). Sexual dysfunction in the United States: Prevalence and predictors. Journal of the American Medical Association, 281, 537544.Google Scholar
Legrand, L. N., Keyes, M., McGue, M., Iacono, W. G., & Krueger, R. F. (2008). Rural environments reduce the genetic influence on adolescent substance use and rule-breaking behavior. Psychological Medicine, 38, 13411350.CrossRefGoogle ScholarPubMed
Leve, L. D., Kim, H. K., & Pears, K. C. (2005). Childhood temperament and family environment as predictors of internalizing and externalizing trajectories from ages 5 to 17. Journal of Abnormal Child Psychology, 33, 505520.CrossRefGoogle ScholarPubMed
MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 1940.Google Scholar
Markon, K. E. (2010). Modeling psychopathology structure: A symptom-level analysis of Axis I and II disorders. Psychological Medicine, 40, 273288.Google Scholar
Markon, K. E., & Krueger, R. F. (2005). Categorical and continuous models of liability to externalizing disorders: A direct comparison in NESARC. Archives of General Psychiatry, 62, 13521359.CrossRefGoogle ScholarPubMed
Meyers, J. L., Lowe, S. R., Eaton, N. R., Krueger, R., Grant, B. F., & Hasin, D. (2015). Childhood maltreatment, 9/11 exposure, and latent dimensions of psychopathology: A test of stress sensitization. Journal of Psychiatric Research, 68, 337345.CrossRefGoogle ScholarPubMed
Miner, J. L., & Clarke-Stewart, K. A. (2008). Trajectories of externalizing behavior from age 2 to age 9: Relations with gender, temperament, ethnicity, parenting, and rater. Development and Psychopathology, 44, 771786.Google Scholar
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100, 674701.CrossRefGoogle ScholarPubMed
Moilanen, K. L., Shaw, D. S., & Maxwell, K. L. (2010). Developmental cascades: Externalizing, internalizing, and academic competence from middle childhood to early adolescence. Development and Psychopathology, 22, 635653.Google Scholar
Newman, D. L., Moffitt, T. E., Caspi, A., & Silva, P. A. (1998). Comorbid mental disorders: Implications for treatment and sample selection. Journal of Abnormal Psychology, 107, 305311.Google Scholar
Noordhof, A., Krueger, R. F., Ormel, J., Oldehinkel, A. J., & Hartman, C. A. (2015). Integrating autism-related symptoms into the dimensional internalizing and externalizing model of psychopathology: The TRAILS Study. Journal of Abnormal Child Psychology, 43, 577587.Google Scholar
Obradovic, J., Bush, N. R., & Boyce, W. T. (2011). The interactive effect of marital conflict and stress reactivity on externalizing and internalizing symptoms: The role of laboratory stressors. Development and Psychopathology, 23, 101114.Google Scholar
Ormel, J., Jeronimus, B. F., Kotov, R., Riese, H., Bos, E. H., Hankin, B. L., et al. (2013). Neuroticism and common mental disorders: Meaning and utility of a complex relationship. Clinical Psychology Review, 33, 686697. doi:10.1016/j.cpr.2013.04.003 Google Scholar
Patrick, C. J., & Hajcak, G. (2016). RDoC: Translating promise into progress. Psychophysiology, 53, 415424.CrossRefGoogle ScholarPubMed
Pollak, S. D. (2015). Developmental psychopathology: Recent advances and future challenges. World Psychiatry, 14, 262269.Google Scholar
Propper, C., Willoughby, M., Halpern, C. T., Carbone, M. A., & Cox, M. (2007). Parenting quality, DRD4, and the prediction of externalizing and internalizing behaviors in early childhood. Developmental Psychobiology, 49, 619632.CrossRefGoogle ScholarPubMed
Rodriguez-Seijas, C., Eaton, N. R., & Krueger, R. F. (2015). How transdiagnostic factors of personality and psychopathology can inform clinical assessment and intervention. Journal of Personality Assessment, 97, 425435.Google Scholar
Rodriguez-Seijas, C., Stohl, M., Hasin, D. S., & Eaton, N. R. (2015). Transdiagnostic factors and mediation of the relationship between perceived racial discrimination and mental disorders. JAMA Psychiatry, 72, 706713.Google Scholar
Rose, R. J., Dick, D. M., Viken, R. J., & Kaprio, J. (2001). Gene–environment interaction in patterns of adolescent drinking: Regional residency moderates longitudinal influences on alcohol use. Alcoholism: Clinical and Experimental Research, 25, 637643.Google ScholarPubMed
Rutter, M., & Sroufe, L. A. (2000). Developmental psychopathology: Concepts and challenges. Development and Psychopathology, 12, 265296.Google Scholar
Slade, T., & Watson, D. (2006). The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population. Psychological Medicine, 36, 15931600.CrossRefGoogle ScholarPubMed
South, S. C., Krueger, R. F., & Iacono, W. G. (2011). Understanding general and specific connections between psychopathology and marital distress: A model based approach. Journal of Abnormal Psychology, 120, 935.Google Scholar
Sroufe, L. A., & Rutter, M. (1984). The domain of developmental psychopathology. Child Development, 55, 1729.Google Scholar
Starr, L. R., Conway, C. C., Hammen, C. L., & Brennan, P. A. (2014). Transdiagnostic and disorder-specific models of intergenerational transmission of internalizing pathology. Psychological Medicine, 44, 161172.CrossRefGoogle ScholarPubMed
Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44, 17641768.Google Scholar
Sterba, S. K., Prinstein, M. J., & Cox, M. J. (2007). Trajectories of internalizing problems across childhood: Heterogeneity, external validity, and gender differences. Development and Psychopathology, 19, 345366.Google Scholar
Sunderland, M., & Slade, T. (2015). The relationship between internalizing psychopathology and suicidality, treatment seeking, and disability in the Australian population. Journal of Affective Disorders, 171, 612.Google Scholar
Sunderland, M., Slade, T., Carragher, N., Batterham, P., & Buchan, H. (2013). Age-related differences in internalizing psychopathology amongst the Australian general population. Journal of Abnormal Psychology, 122, 10101020.CrossRefGoogle ScholarPubMed
Swanson, S. A., Crow, S. J., Le Grange, D., Swendsen, J., & Merikangas, K. R. (2011). Prevalence and correlates of eating disorders in adolescents: Results from the national comorbidity survey replication adolescent supplement. Archives of General Psychiatry, 68, 714723.Google Scholar
Tackett, J. L. (2010). Toward an externalizing spectrum in DSM-V: Incorporating developmental concerns. Child Development Perspectives, 4, 161167.Google Scholar
Tackett, J. L., Krueger, R. F., Iacono, W. G., & McGue, M. (2005). Symptom-based subfactors of DSM-defined conduct disorder: Evidence for etiologic distinctions. Journal of Abnormal Psychology, 114, 483487.Google Scholar
Tackett, J. L., Krueger, R. F., Sawyer, M. G., & Graetz, B. W. (2003). Subfactors of DSM-IV conduct disorder: Evidence and connections with syndromes from the Child Behavior Checklist. Journal of Abnormal Child Psychology, 31, 647654.CrossRefGoogle ScholarPubMed
Tackett, J. L., Lahey, B. B., van Hulle, C., Waldman, I., Krueger, R. F., & Rathouz, P. J. (2013). Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence. Journal of Abnormal Psychology, 122, 11421153.Google Scholar
Trosper, S. E., Whitton, S. W., Brown, T. A., & Pincus, D. B. (2012). Understanding the latent structure of the emotional disorders in children and adolescents. Journal of Abnormal Child Psychology, 40, 621632.CrossRefGoogle ScholarPubMed
Vachon, D. D., Krueger, R. F., Rogosch, F. A., & Cicchetti, D. (2015). Assessment of the harmful psychiatric and behavioral effects of different forms of child maltreatment. JAMA Psychiatry, 72, 11351142.CrossRefGoogle ScholarPubMed
Vaidyanathan, U., Patrick, C. J., & Iacono, W. G. (2011). Patterns of comorbidity among mental disorders: A person-centered approach. Comprehensive Psychiatry, 52, 527535.CrossRefGoogle ScholarPubMed
van Lier, P. A., & Koot, H. M. (2010). Developmental cascades of peer relations and symptoms of externalizing and internalizing problems from kindergarten to fourth-grade elementary school. Development and Psychopathology, 22, 569582.CrossRefGoogle ScholarPubMed
Vollebergh, W. A. M., Iedema, J., Bijl, R. V., de Graaf, R., Smit, F., & Ormel, J. (2001). The structure and stability of common mental disorders: The NEMESIS study. Archives of General Psychiatry, 58, 597603.Google Scholar
Vrieze, S. I., Hicks, B. M., Iacono, W. G., & McGue, M. (2012). Decline in genetic influence on the co-occurrence of alcohol, marijuana, and nicotine dependence symptoms from age 14 to 29. American Journal of Psychiatry, 169, 10731081.CrossRefGoogle ScholarPubMed
Waszczuk, M. A., Zavos, H. M., Gregory, A. M., & Eley, T. C. (2014). The phenotypic and genetic structure of depression and anxiety disorder symptoms in childhood, adolescence, and young adulthood. JAMA Psychiatry, 71, 905916.Google Scholar
Watson, D. (2005). Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology, 114, 522536.CrossRefGoogle ScholarPubMed
Wiggins, J. L., Mitchell, C., Hyde, L. W., & Monk, C. S. (2015). Identifying early pathways of risk and resilience: The codevelopment of internalizing and externalizing symptoms and the role of harsh parenting. Development and Psychopathology, 27(4 Pt. 1), 12951312.Google Scholar
Wolf, A. W., Schubert, D. S. P., Patterson, M. B., Grande, T. P., Brocco, K. J., & Pendleton, L. (1988). Associations among major psychiatric diagnoses. Journal of Consulting and Clinical Psychology, 56, 292294.CrossRefGoogle ScholarPubMed
Wright, A. G., & Simms, L. J. (2015). A metastructural model of mental disorders and pathological personality traits. Psychological Medicine, 45, 23092319.CrossRefGoogle ScholarPubMed
Yarnell, L. M., Sargeant, M. N., Prescott, C. A., Tilley, J. L., Farver, J. A., Mednick, S. A., et al. (2013). Measurement invariance of internalizing and externalizing behavioral syndrome factors in a non-Western sample. Assessment, 20, 642655.CrossRefGoogle Scholar
Young Mun, E., Fitzgerald, H. E., Von Eye, A., Puttler, L. I., & Zucker, R. A. (2001). Temperamental characteristics as predictors of externalizing and internalizing child behavior problems in the contexts of high and low parental psychopathology. Infant Mental Health Journal, 22, 393415.Google Scholar