The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders? - PubMed
The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?
Avshalom Caspi et al. Clin Psychol Sci. 2014 Mar.
Abstract
Mental disorders traditionally have been viewed as distinct, episodic, and categorical conditions. This view has been challenged by evidence that many disorders are sequentially comorbid, recurrent/chronic, and exist on a continuum. Using the Dunedin Multidisciplinary Health and Development Study, we examined the structure of psychopathology, taking into account dimensionality, persistence, co-occurrence, and sequential comorbidity of mental disorders across 20 years, from adolescence to midlife. Psychiatric disorders were initially explained by three higher-order factors (Internalizing, Externalizing, and Thought Disorder) but explained even better with one General Psychopathology dimension. We have called this dimension the p factor because it conceptually parallels a familiar dimension in psychological science: the g factor of general intelligence. Higher p scores are associated with more life impairment, greater familiality, worse developmental histories, and more compromised early-life brain function. The p factor explains why it is challenging to find causes, consequences, biomarkers, and treatments with specificity to individual mental disorders. Transdiagnostic approaches may improve research.
Keywords: DSM; developmental psychopathology; psychiatric epidemiology.
Conflict of interest statement
Declaration of Conflicting Interests
The authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article.
Figures
![Fig. 1](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75cd/4209412/5df09ff90317/nihms523372f1.gif)
The structure of psychopathology Three models were tested using confirmatory factor analysis: a correlated-factors model (Model A), a hierarchical or bifactor model (Model B), and a 1-factor model (Model C) Model B′ shows the final revised hierarchical model Colored ovals represent latent (unobserved) continuous symptom trait factors colored boxes represent observed symptom counts for each disorder at each assessment age The following 11 disorder/symptoms were assessed alcohol dependence, cannabis dependence, dependence on hard drugs, tobacco dependence, conduct disorder, major depression, generalized anxiety disorder, fears/phobias, obsessive-compulsive disorder, mania and positive and negative schizophrenia symptoms. Disorder/symptoms were assessed at ages 18, 21, 26, 32, and 38 years (not all disorders were assessed at every age, but each disorder was measured at least three times; missing assessments are depicted by white space) Gray ovals represent method/state factors designed to pull out age- and assessment-related variance (e.g., interviewer effects, mood effects, and age-specific vulnerabilities) that was uncorrected with trait propensity toward psychopathology. Note Alc = alcohol; Can = cannabis; Drg = hard drugs Tob = tobacco; CD = conduct disorder; MDE = major depression; GAD = generalized anxiety disorder; Fears = fears/phobias; OCD = obsessive-compulsive disorder; Schiz = schizophrenia
![Fig. 2](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75cd/4209412/7f617bdbf69d/nihms523372f2.gif)
Association between p factor scores and age-3 brain Integrity. The p factor is standardized to a mean of 100 (SD = 15), and higher p scores Indicate more Generalized Psychopathology. The bars of the histograms graph the percentages of the sample at different levels of the p factor. The squares and standard error bars show the scores of individuals on the age-3 brain integrity factor as a function of p scores less than 85, 85 to 95, 95 to 105, 105 to 115, 115 to 125, and greater than 125. The regression line shows the correlation between the p factor and childhood brain integrity.
![Fig. 3](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75cd/4209412/1b48a9005d29/nihms523372f3.gif)
The p factor. Many individuals manifest a brief episode of a gendered individual disorder, a smaller subset of individuals progress to develop persistent and increasingly impairing externalizing and internalizing disorders, whereas only a few individuals progress to extreme elevation of p, ultimately emerging with disordered thought processes.
Similar articles
-
All for One and One for All: Mental Disorders in One Dimension.
Caspi A, Moffitt TE. Caspi A, et al. Am J Psychiatry. 2018 Sep 1;175(9):831-844. doi: 10.1176/appi.ajp.2018.17121383. Epub 2018 Apr 6. Am J Psychiatry. 2018. PMID: 29621902 Free PMC article. Review.
-
Pervasively Thinner Neocortex as a Transdiagnostic Feature of General Psychopathology.
Romer AL, Elliott ML, Knodt AR, Sison ML, Ireland D, Houts R, Ramrakha S, Poulton R, Keenan R, Melzer TR, Moffitt TE, Caspi A, Hariri AR. Romer AL, et al. Am J Psychiatry. 2021 Feb 1;178(2):174-182. doi: 10.1176/appi.ajp.2020.19090934. Epub 2020 Jun 30. Am J Psychiatry. 2021. PMID: 32600153 Free PMC article.
-
The structure of psychopathology in adolescence and its common personality and cognitive correlates.
Castellanos-Ryan N, Brière FN, O'Leary-Barrett M, Banaschewski T, Bokde A, Bromberg U, Büchel C, Flor H, Frouin V, Gallinat J, Garavan H, Martinot JL, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Robbins TW, Whelan R, Schumann G, Conrod P; IMAGEN Consortium. Castellanos-Ryan N, et al. J Abnorm Psychol. 2016 Nov;125(8):1039-1052. doi: 10.1037/abn0000193. J Abnorm Psychol. 2016. PMID: 27819466 Free PMC article.
-
Haltigan JD. Haltigan JD. J Am Acad Child Adolesc Psychiatry. 2019 Aug;58(8):751-753. doi: 10.1016/j.jaac.2019.03.005. Epub 2019 Mar 7. J Am Acad Child Adolesc Psychiatry. 2019. PMID: 30853501
-
Transdiagnostic factors of psychopathology and substance use disorders: a review.
Eaton NR, Rodriguez-Seijas C, Carragher N, Krueger RF. Eaton NR, et al. Soc Psychiatry Psychiatr Epidemiol. 2015 Feb;50(2):171-82. doi: 10.1007/s00127-014-1001-2. Epub 2015 Jan 7. Soc Psychiatry Psychiatr Epidemiol. 2015. PMID: 25563838 Review.
Cited by
-
Cognitive Ability, Personality, and Psychopathology: A Stormy Relationship.
Colom R, Shih Ma PC. Colom R, et al. J Intell. 2024 Sep 29;12(10):96. doi: 10.3390/jintelligence12100096. J Intell. 2024. PMID: 39452513 Free PMC article.
-
Pereira-Soares TF, Nunes-Baptista M. Pereira-Soares TF, et al. Int J Psychol Res (Medellin). 2019 Jul-Dec;12(2):37-47. doi: 10.21500/20112084.4203. Int J Psychol Res (Medellin). 2019. PMID: 32612793 Free PMC article.
-
Psychoneuroimmunology of Early-Life Stress: The Hidden Wounds of Childhood Trauma?
Danese A, J Lewis S. Danese A, et al. Neuropsychopharmacology. 2017 Jan;42(1):99-114. doi: 10.1038/npp.2016.198. Epub 2016 Sep 15. Neuropsychopharmacology. 2017. PMID: 27629365 Free PMC article. Review.
-
Phillips EM, Brock RL, James TD, Nelson JM, Espy KA, Nelson TD. Phillips EM, et al. J Psychopathol Clin Sci. 2022 Nov;131(8):817-829. doi: 10.1037/abn0000777. J Psychopathol Clin Sci. 2022. PMID: 36326624 Free PMC article.
-
Cochran AL, Pingeton BC, Goodman SH, Laurent H, Rathouz PJ, Newport DJ, Stowe ZN. Cochran AL, et al. J Abnorm Psychol. 2020 Oct;129(7):689-700. doi: 10.1037/abn0000612. Epub 2020 Aug 27. J Abnorm Psychol. 2020. PMID: 32852962 Free PMC article.
References
-
- Achenbach TM, Edelbrock C. Behavioral problems and competencies reported by parents of normal and disturbed children aged 4 through 16. Monographs of the Society for Research in Child Development. 1981;46(188) - PubMed
-
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4. Washington, DC: Author; 1994.
-
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5. Arlington, VA: American Psychiatric Publishing; 2013.
-
- Asparouhov T, Muthen B. Weighted least squares estimation with missing data. 2010 Retrieved from http://www.statmodel.com/download/GstrucMissingRevision.pdf.
-
- Barlow DH, Farchione TJ, Fairholme CP, Ellard KK, Boisseau CL, Allen LB, Ehrenreich-May J. The unified protocol for transdiagnostic treatment of emotional disorders: Therapist guide. New York, NY: Oxford University Press; 2011.
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources