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Joint factorial structure of psychopathology and personality

Published online by Cambridge University Press:  05 November 2018

Tom Rosenström Open the ORCID record for Tom Rosenström [Opens in a new window] ,
Line C. Gjerde ,
Robert F. Krueger ,
Steven H. Aggen ,
Nikolai Olavi Czajkowski ,
Nathan A. Gillespie ,
Kenneth S. Kendler ,
Ted Reichborn-Kjennerud ,
Fartein Ask Torvik  and
Eivind Ystrom
Tom Rosenström*
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
Line C. Gjerde
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Department of Psychology, University of Oslo, Oslo, Norway
Robert F. Krueger
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, USA
Steven H. Aggen
Affiliation:
Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
Nikolai Olavi Czajkowski
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Department of Psychology, University of Oslo, Oslo, Norway
Nathan A. Gillespie
Affiliation:
Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
Kenneth S. Kendler
Affiliation:
Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA Deparment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
Ted Reichborn-Kjennerud
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Fartein Ask Torvik
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Department of Psychology, University of Oslo, Oslo, Norway
Eivind Ystrom
Affiliation:
Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway Department of Psychology, University of Oslo, Oslo, Norway PharmacoEpidemiology and Drug Safety Research Group, School of Pharmacy, University of Oslo, Oslo, Norway
*
Author for correspondence: Tom Rosenström, E-mail: tom.rosenstrom@helsinki.fi
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Abstract

Background

Normative and pathological personality traits have rarely been integrated into a joint large-scale structural analysis with psychiatric disorders, although a recent study suggested they entail a common individual differences continuum.

Methods

We explored the joint factor structure of 11 psychiatric disorders, five personality-disorder trait domains (DSM-5 Section III), and five normative personality trait domains (the ‘Big Five’) in a population-based sample of 2796 Norwegian twins, aged 19‒46.

Results

Three factors could be interpreted: (i) a general risk factor for all psychopathology, (ii) a risk factor specific to internalizing disorders and traits, and (iii) a risk factor specific to externalizing disorders and traits. Heritability estimates for the three risk factor scores were 48% (95% CI 41‒54%), 35% (CI 28‒42%), and 37% (CI 31‒44%), respectively. All 11 disorders had uniform loadings on the general factor (congruence coefficient of 0.991 with uniformity). Ignoring sign and excluding the openness trait, this uniformity of factor loadings held for all the personality trait domains and all disorders (congruence 0.983).

Conclusions

Based on our findings, future research should investigate joint etiologic and transdiagnostic models for normative and pathological personality and other psychopathology.

Keywords

Behavior geneticsBig Five personality traitsDSM-5 Section III personality traitsfactor analysisp factorpsychiatric comorbidity

Information

Type
Original Articles
Information
Psychological Medicine , Volume 49 , Issue 13 , October 2019 , pp. 2158 - 2167
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

†

Joint senior authors.

References

Abdi, H (2007). RV coefficient and congruence coefficient. In Salkind NJ (ed.), Encyclopedia of Measurement and Statistics. Thousand Oaks, CA: Sage, pp. 849–853.Google Scholar
Achenbach, TM (1966) The classification of children's psychiatric symptoms: a factor-analytic study. Psychological Monographs 80, 1–37.Google Scholar
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Arlington, VA: American Psychiatric Association.Google Scholar
Asparouhov, T (2005) Sampling weights in latent variable modeling. Structural Equation Modeling 12, 411–434.Google Scholar
Asparouhov, T and Muthén, B (2009) Exploratory structural equation modeling. Structural Equation Modeling 16, 397–438.Google Scholar
Bonifay, W and Cai, L (2017) On the complexity of item response theory models. Multivariate Behavioral Research 52, 465–484.Google Scholar
Borsboom, D (2017) A network theory of mental disorders. World Psychiatry 2017, 5–13.Google Scholar
Brainstorm Consortium (2018) Analysis of shared heritability in common disorders of the brain. Science 360, eaap8757.Google Scholar
Carver, CS, Johnson, SL and Timpano, KR (2017) Toward a functional view of the p factor in psychopathology. Clinical Psychological Science 5, 880–889.Google Scholar
Caspi, A and Moffitt, TE (2018) All for one and one for all: mental disorders in one dimension. The American Journal of Psychiatry 175, 831–844.Google Scholar
Caspi, A, Houts, RM, Belsky, DW, Goldman-Mellor, SJ, Harrington, H, Israel, S, Meier, MH, Ramrakha, S, Shalev, I, Poulton, R and Moffitt, TE (2014) The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science 2, 119–137.Google Scholar
Cuthbert, BN (2014) The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology. World Psychiatry 13, 28–35.Google Scholar
Czajkowski, N, Aggen, SH, Krueger, RF, Kendler, KS, Neale, MC, Knudsen, GP, Gillespie, NA, Røysamb, E, Tambs, K and Reichborn-Kjennerud, T (2018) A twin study of normative personality and DSM-IV personality disorder criterion counts: evidence for separate genetic influences. American Journal of Psychiatry 175, 649–656.Google Scholar
de Jonge, P, Wardenaar, KJ, Lim, CCW, Aguilar-Gaxiola, S, Alonso, J, Andrade, LH, Bunting, B, Chatterji, S, Ciutan, M, Gureje, O, Karam, EG, Lee, S, Medina-Mora, ME, Moskalewicz, J, Navarro-Mateu, F, Pennell, B-E, Piazza, M, Posada-Villa, J, Torres, Y, Kessler, RC and Scott, K (2017) The cross-national structure of mental disorders: results from the World Mental Health Surveys. Psychological Medicine 48, 2073–2084.Google Scholar
Del Giudice, M (2014) An evolutionary life history framework for psychopathology. Psychological Inquiry 25, 261–300.Google Scholar
Del Giudice, M (2016) The life history model of psychopathology explains the structure of psychiatric disorders and the emergence of the p factor: a simulation study. Clinical Psychological Science 4, 299–311.Google Scholar
Drton, M (2009) Likelihood ratio tests and singularities. The Annals of Statistics 37, 979–1012.Google Scholar
Eid, M, Geiser, C, Koch, T and Heene, M (2017) Anomalous results in G-factor models: explanations and alternatives. Psychological Methods 22, 541–562.Google Scholar
Elliott, ML, Romer, A, Knodt, AR and Hariri, AR (2018) A connectome-wide functional signature of transdiagnostic risk for mental illness. Biological Psychiatry 84, 452–459.Google Scholar
Enders, CK and Bandalos, DL (2001) The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling 8, 430–457.Google Scholar
Falconer, DS (1965) The inheritance of liability to certain diseases, estimated from the incidence among relatives. Annals of Human Genetics 29, 51–76.Google Scholar
Franić, S, Dolan, CV, Borsboom, D, Hudziak, JJ, van Beijsterveldt, CEM and Boomsma, DI (2013) Can genetics help psychometrics? Improving dimensionality assessment through genetic factor modeling. Psychological Methods 18, 406–433.Google Scholar
Gandal, MJ, Haney, JR, Parikshak, NN, Leppa, V, Ramaswami, G, Hartl, C, Schork, AJ, Appadurai, V, Buil, A, Werge, TM, Liu, C, White, KP, Consortium, C, Consortium, P, Group iPSYCH-BW, Horvath, S and Geschwind, DH (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359, 693–697.Google Scholar
Garrido, LE, Abad, FJ and Ponsoda, V (2013) A new look at Horn's parallel analysis with ordinal variables. Psychological Methods 18, 454–474.Google Scholar
Garrido, LE, Abad, FJ and Ponsoda, V (2016) Are fit indices really fit to estimate the number of factors with categorical variables? Some cautionary findings via Monte Carlo simulation. Psychological Methods 21, 93–111.Google Scholar
Geschwind, DH and Flint, J (2015) Genetics and genomics of psychiatric disease. Science 349, 1489–1494.Google Scholar
Goodkind, M, Eickhoff, SB, Oathes, DJ, Jiang, Y, Chang, A, Jones-Hagata, LB, Ortega, BN, Zaiko, YV, Roach, EL, Korgaonkar, MS, Grieve, SM, Galatzer-Levy, I, Fox, PT and Etkin, A (2015) Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 72, 305–315.Google Scholar
Haslam, N, Holland, E and Kuppens, P (2012) Categories versus dimensions in personality and psychopathology: a quantitative review of taxometric research. Psychological Medicine 42, 903–920.Google Scholar
Hayashi, K, Bentler, PM and Yuan, K-H (2007) On the likelihood ratio test for the number of factors in exploratory factor analysis. Structural Equation Modeling 14, 505–526.Google Scholar
Horn, JL (1965) A rationale and test for the number of factors in factor analysis. Psychometrika 30, 179–185.Google Scholar
Hyvärinen, A, Karhunen, J and Oja, E (2001) Independent Component Analysis. New York: Wiley.Google Scholar
Jennrich, RI and Bentler, PM (2011) Exploratory bi-factor analysis. Psychometrika 76, 537–549.Google Scholar
Jennrich, RI and Bentler, PM (2012) Exploratory bi-factor analysis: the oblique case. Psychometrika 77, 442–454.Google Scholar
John, OP and Srivastava, S (1999) The Big-five trait taxonomy: history, measurement, and theoretical perspectives. In Pervin, LA and John, OP (eds), Handbook of Personality: Theory and Research, 2nd Edn. New York: Guilford Press, pp. 102–138.Google Scholar
John, OP, Naumann, LP and Soto, CJ (2008) Paradigm shift to the integrative Big five trait taxonomy: history, measurement, and conceptual issues. In John, OP, Robins, RW and Pervin, LA (eds), Hand Book of Personality: Theory and Research, 3rd Edn. New York, USA: The Guilford Press, pp 114–158.Google Scholar
Kotov, R, Gamez, W, Schmidt, F and Watson, D (2010) Linking ‘big’ personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological Bulletin 136, 768–821.Google Scholar
Kotov, R, Krueger, RF, Watson, D, Achenbach, TM, Althoff, RR, Bagby, RM, Brown, TA, Carpenter, WT, Caspi, A, Clark, LA, Eaton, NR, Forbes, MK, Forbush, KT, Goldberg, D, Hasin, D, Hyman, SE, Ivanova, MY, Lynam, DR, Markon, K, Miller, JD, Moffitt, TE, Morey, LC, Mullins-Sweatt, SN, Ormel, J, Patrick, CJ, Regier, DA, Rescorla, L, Ruggero, CJ, Samuel, DB, Sellbom, M, Simms, LJ, Skodol, AE, Slade, T, South, SC, Tackett, JL, Waldman, ID, Waszczuk, MA, Widiger, TA, Wright, AGC and Zimmerman, M (2017) The Hierarchical Taxonomy of Psychopathology (HiTOP): a dimensional alternative to traditional nosologies. Journal of Abnormal Psychology 126, 454–477.Google Scholar
Krueger, RF (1999) The structure of common mental disorders. Archives of General Psychiatry 56, 921–926.Google Scholar
Lahey, BB, Van Hulle, CA, Singh, AL, Waldman, ID and Rathouz, PJ (2011) Higher-order genetic and environmental structure of prevalent forms of child and adolescent psychopathology. Archives of General Psychiatry 68, 181–189.Google Scholar
Lahey, BB, Applegate, B, Hakes, JK, Zald, DH, Hariri, AR and Rathouz, PJ (2012) Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology 121, 971–977.Google Scholar
Lahey, BB, Krueger, RF, Rathouz, PJ, Waldman, ID and Zald, DH (2017) Validity and utility of the general factor of psychopathology. World Psychiatry 16, 142–144.Google Scholar
Lawley, DN and Maxwell, AE (1971) Factor Analysis as a Statistical Method. 2nd Edn. London: Butterworths & Co.Google Scholar
Lei, M and Lomax, RG (2005) The effect of varying degrees of nonnormality in structural equation modeling. Structural Equation Modeling 12, 1–27.Google Scholar
Lorenzo-Seva, U and ten Berge, JMF (2006) Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology 2, 57–64.Google Scholar
Mansolf, M and Reise, SP (2017) When and why the second-order and bifactor models are distinguishable. Intelligence 61, 120–129.Google Scholar
Markon, KE, Chmielewski, M and Miller, CJ (2011) The reliability and validity of discrete and continuous measures of psychopathology: a quantitative review. Psychological Bulletin 137, 856–879.Google Scholar
Morin, AJS, Arens, AK and Marsh, HW (2016) A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling 23, 116–139.Google Scholar
Musek, J (2007) A general factor of personality: evidence for the Big One in the five-factor model. Journal of Research in Personality 41, 1213–1233.Google Scholar
Neale, MC and Cardon, LR (1992) Methodology for Genetic Studies of Twins and Families. Dordrecht, The Netherlands: Kluwer Academic Publishers.Google Scholar
Neale, MC, Hunter, MD, Pritikin, JN, Zahery, M, Brick, TR, Kirkpatrick, RM, Estabrook, R, Bates, TC, Maes, HH and Boker, SM (2016) Openmx 2.0: extended structural equation and statistical modeling. Psychometrika 81, 535–549.Google Scholar
Nesvåg, R, Reichborn-Kjennerud, T, Gillespie, NA, Knudsen, GP, Bramness, JG, Kendler, KS and Ystrom, E (2017) Genetic and environmental contributions to the association between cannabis use and psychotic-like experiences in young adult twins. Schizophrenia Bulletin 43, 644–653.Google Scholar
Neumann, A, Pappa, I, Lahey, BB, Verhulst, FC, Medina-Gomez, C, Jaddoe, VW, Bakermans-Kranenburg, MJ, Moffitt, TE, van IJzendoorn, MH and Tiemeier, H (2016). Single nucleotide polymorphism heritability of a general psychopathology factor in children. Journal of the American Academy of Child and Adolescent Psychiatry 55, 1038–1045. e4.Google Scholar
Nilsen, TS, Knudsen, GP, Gervin, K, Brandt, I, Røysamb, E, Tambs, K, Orstavik, R, Lyle, R, Reichborn-Kjennerud, T, Magnus, P and Harris, JR (2013) The Norwegian Twin Registry from a public health perspective: a research update. Twin Research and Human Genetics 16, 285–295.Google Scholar
Olsson, U (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika 44, 443–460.Google Scholar
Oltmanns, JR, Smith, GT, Oltmanns, TF and Widiger, TA (2018). General factors of psychopathology, personality, and personality disorder: across domain comparisons. Clinical Psychological Science 6, 581–589.Google Scholar
Pettersson, E, Larsson, H and Lichtenstein, P (2016) Common psychiatric disorders share the same genetic origin: a multivariate sibling study of the Swedish population. Molecular Psychiatry 21, 717–721.Google Scholar
Pfohl, B, Blum, N and Zimmerman, M (1997) Structured Interview for DSM-IV Personality (SIDP-IV). Washington: American Psychiatric Press, Inc.Google Scholar
Polderman, TJC, Benyamin, B, de Leeuw, CA, Sullivan, PF, van Bochoven, A, Visscher, PM and Posthuma, D (2015) Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics 47, 702–709.Google Scholar
Reichborn-Kjennerud, T, Krueger, RF, Ystrom, E, Torvik, FA, Rosenström, TH, Aggen, SH, South, SC, Neale, MC, Knudsen, GP, Kendler, KS and Czajkowski, NO (2017) Do DSM-5 Section II personality disorders and Section III personality trait domains reflect the same genetic and environmental risk factors? Psychological Medicine 47, 2205–2215.Google Scholar
Rosenström, T and Jokela, M (2017) A parsimonious explanation of the resilient, undercontrolled, and overcontrolled personality types. European Journal of Personality 31, 658–668.Google Scholar
Rosenström, T, Ystrom, E, Torvik, FA, Czaijkowski, NO, Gillespie, NA, Aggen, SH, Krueger, RF, Kendler, KS and Reichborn-Kjennerud, T (2017) Genetic and environmental structure of DSM-IV criteria for antisocial personality disorder: a twin study. Behavior Genetics 47, 265–277.Google Scholar
Tackett, JL, Lahey, BB, van Hulle, C, Waldman, I, Krueger, RF and Rathouz, PJ (2013) Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence. Journal of Abnormal Psychology 122, 1142–1153.Google Scholar
Tambs, K, Rønning, T, Prescott, CA, Kendler, KS, Reichborn-Kjennerud, T, Torgersen, S and Harris, JR (2009) The Norwegian Institute of Public Health twin study of mental health: examining recruitment and attrition bias. Twin Research and Human Genetics 12, 158–168.Google Scholar
Tucker, LR (1951). A method for the synthesis of factor analysis studies. Technical report no. 984 Personnel Research Section. Department of the Army: Washington, DC.Google Scholar
van den Berg, SM, Glas, CAW and Boomsma, DI (2007) Variance decomposition using an IRT measurement model. Behavior Genetics 37, 604–616.Google Scholar
Waldman, ID, Poore, HE, van Hulle, C, Rathouz, PJ and Lahey, BB (2016) External validity of a hierarchical dimensional model of child and adolescent psychopathology: tests using confirmatory factor analyses and multivariate behavior genetic analyses. Journal of Abnormal Psychology 125, 1053–1066.Google Scholar
Wang, K, Gaitsch, H, Poon, H, Cox, NJ and Rzhetsky, A (2017) Classification of common human diseases derived from shared genetic and environmental determinants. Nature Genetics 49, 1319–1325.Google Scholar
Weijters, B, Geuens, M and Schillewaert, N (2010 a) The individual consistency of acquiescence and extreme response style in self-report questionnaires. Applied Psychological Measurement 34, 105–121.Google Scholar
Weijters, B, Geuens, M and Schillewaert, N (2010 b) The stability of individual response styles. Psychological Methods 15, 96–110.Google Scholar
Wetzel, E, Lüdtke, O, Zettler, I and Böhnke, JR (2016) The stability of extreme response style and acquiescence over 8 years. Assessment 23, 279–291.Google Scholar
Widiger, TA and Mullins-Sweatt, SN (2009) Five-factor model of personality disorder: a proposal for DSM-V. Annual Review of Clinical Psychology 5, 197–220.Google Scholar
Wittchen, HU and Pfister, H (1997) DIA-X Interview (M-CIDI). Frankfurt: Swets & Zeitlinger.Google Scholar
Xia, Y and Yang, Y (2018) RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: the story they tell depends on the estimation methods. Behavior Research Methods [Epub ahead of print]. doi: 10.3758/s13428-018-1055-2.Google Scholar
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