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A Five-Factor Model framework for understanding childhood personality disorder antecedents.
Barbara De Clercq1, Filip De Fruyt
1Department of Developmental, Personality and Social Psychology, Ghent University, Gent, Belgium. DeClercq@ugent.be
Journal of Personality
|February 11, 2012
Summary
Childhood personality traits predict adult personality disorders. Assessing these traits early can improve mental health diagnoses and interventions for developmental personality difficulties.
Area of Science:
- Developmental Psychology
- Psychopathology
- Personality Science
Background:
- Childhood personality disorders have significant long-term impacts.
- Traditional diagnostic categories for childhood disorders (Axis I) often overlook underlying personality traits.
- Existing research indicates childhood Axis I disorders predict adult Axis II disorders.
Purpose of the Study:
- To review evidence on childhood antecedents of personality disorders.
- To advocate for the Five-Factor Model's applicability to developmental personality difficulties.
- To propose integrating dimensional personality assessments in early mental health evaluations.
Main Methods:
- Literature review of studies on childhood personality development and psychopathology.
- Conceptual analysis extending the Five-Factor Model to personality pathology.
- Argument for incorporating trait and personality pathology measures.
Main Results:
- Evidence supports the relevance of childhood personality antecedents for adult personality disorders.
- The Five-Factor Model framework is valid for describing childhood traits and developmental personality difficulties.
- Childhood Axis I conditions possess a significant trait component predicting adult Axis II disorders.
Conclusions:
- Childhood personality traits are crucial predictors of adult personality disorders.
- A dimensional approach using the Five-Factor Model offers a robust framework for understanding developmental personality issues.
- Integrating dimensional personality assessments in early mental health care is recommended for improved diagnostics and treatment.
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