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The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning.

ABSTRACT: Past psychiatric diagnoses are central to patient case formulation and prognosis. Recently, alternative classification models such as the Hierarchical Taxonomy of Psychopathology (HiTOP) proposed to assess traits to predict clinically-relevant outcomes. The current study directly compared personality traits and past diagnoses as predictors of future mental health and functioning in three independent, prospective samples. Regression analyses found that personality traits significantly predicted future first onsets of psychiatric disorders (ΔR²=06-.15), symptom chronicity (ΔR²=.03-.06), and functioning (ΔR²=.02-.07), beyond past and current psychiatric diagnoses. Conversely, past psychiatric diagnoses did not provide an incremental prediction of outcomes when personality traits and other concurrent predictors were already included in the model. Overall, personality traits predicted a variety of outcomes in diverse settings, beyond diagnoses. Past diagnoses were generally not informative about future outcomes when personality was considered. Together, these findings support the added value of personality traits assessment in case formulation, consistent with HiTOP model.

SUBMITTER: Waszczuk MA

PROVIDER: S-EPMC9366938 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning.

Waszczuk Monika A MA Hopwood Christopher J CJ Luft Benjamin J BJ Morey Leslie C LC Perlman Greg G Ruggero Camilo J CJ Skodol Andrew E AE Kotov Roman R

Clinical psychological science : a journal of the Association for Psychological Science 20211221 4

Past psychiatric diagnoses are central to patient case formulation and prognosis. Recently, alternative classification models such as the Hierarchical Taxonomy of Psychopathology (HiTOP) proposed to assess traits to predict clinically-relevant outcomes. The current study directly compared personality traits and past diagnoses as predictors of future mental health and functioning in three independent, prospective samples. Regression analyses found that personality traits significantly predicted f ...[more]

PMID: 35967764

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Project description:BackgroundAlthough personality disorders are common and consequential, they are largely ignored in geriatric mental healthcare. We examined the relative contributions of different aspects of personality disorders and comorbid mental disorders to the impairment of mental wellbeing in older adults.MethodsBaseline data were used of 138 patients who participated in a randomized controlled trial on schema therapy for geriatric mental health outpatients with a full or subthreshold cluster B or C personality disorder. Personality was assessed according to both the categorical and dimensional model of DSM-5. Aspects of mental wellbeing assessed were; psychological distress, positive mental health, subjective health, and life satisfaction. The current study uses baseline data of the RCT to examine the associations between different aspects of personality pathology and mental wellbeing by multivariate regression analysis, controlling for age, sex, level of education, and number of chronic somatic illnesses.ResultsThe vast majority of patients (79.0%) had one or more mental disorders in addition to personality disorder. Personality pathology was responsible for the core of the mental health burden experienced by patients, and negated the influence of co-occurring mental disorders when entered subsequently in multivariate analysis. Personality dimensions proved to be highly predictive of mental wellbeing, and this contrasted with absence of influence of personality disorder diagnosis. Although the personality functioning dimensions - and in particular Identity integration (large effect size with partial eta-squared = 0.36) - were the primary predictors of mental wellbeing, personality trait dimensions added significant predictive value to that (Disinhibition 0.25 and Negative affect 0.24).ConclusionsPersonality disorders seriously affect the mental wellbeing of patients, and this overshadows the impact of comorbid mental disorders. In particular personality functioning and pathological traits of the Alternative Model of Personality Disorders (AMPD) of DSM-5 contribute to this impact on mental wellbeing. Alertness for and treatment of personality disorders in geriatric mental healthcare seems warranted.

Dataset Information

The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning.

Publications

The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning.

Similar Datasets

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