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Furnham A. A Big Five facet analysis of sub-clinical dependent personality disorder (Dutifulness). Psychiatry Res 2018; 270:622-626. [PMID: 30384281 DOI: 10.1016/j.psychres.2018.10.052] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 10/21/2018] [Accepted: 10/21/2018] [Indexed: 11/19/2022]
Abstract
This study aimed to examine a Big Five, normal personality trait, "bright side" analysis of a sub-clinical personality disorder: Dependency Personality Disorder. Around 6000 British adults completed the NEO-PI-R which measures the Big Five personality factors at the domain and the facet level. They also completed the Hogan Development Survey (HDS) which has a measure of sub-clinical Dependency Personality Disorder called Dutiful as one of its eleven dysfunctional interpersonal tendencies. Correlation and regression results confirmed many of the associations between the Big Five domains and facets and sub-clinical Dependency. The Dutiful (Dependent) scale from the HDS was the criterion variable in all analyses. The results showed that those high on Dutiful are highly unstable Neurotic, Agreeable people who are low on Openness. They are Anxious, Compliant, Self-Conscious, Unassertive and Vulnerable. It is thus possible to assess subclinical personality disorder "dark-side" traits, like Dutifulness, in terms of normal "bright-side" traits. Limitations of the study are acknowledged.
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Affiliation(s)
- Adrian Furnham
- Norwegian Business School (BI), Nydalveien, Olso, Norway.
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Hoertel N, Blanco C, Oquendo MA, Wall MM, Olfson M, Falissard B, Franco S, Peyre H, Lemogne C, Limosin F. A comprehensive model of predictors of persistence and recurrence in adults with major depression: Results from a national 3-year prospective study. J Psychiatr Res 2017; 95:19-27. [PMID: 28759845 PMCID: PMC5653405 DOI: 10.1016/j.jpsychires.2017.07.022] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 07/19/2017] [Accepted: 07/20/2017] [Indexed: 10/19/2022]
Abstract
Identifying predictors of persistence and recurrence of depression in individuals with a major depressive episode (MDE) poses a critical challenge for clinicians and researchers. We develop using a nationally representative sample, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 34,653), a comprehensive model of the 3-year risk of persistence and recurrence in individuals with MDE at baseline. We used structural equation modeling to examine simultaneously the effects of four broad groups of clinical factors on the risk of MDE persistence and recurrence: 1) severity of depressive illness, 2) severity of mental and physical comorbidity, 3) sociodemographic characteristics and 4) treatment-seeking behavior. Approximately 16% and 21% of the 2587 participants with an MDE at baseline had a persistent MDE and a new MDE during the 3-year follow-up period, respectively. Most independent predictors were common for both persistence and recurrence and included markers for the severity of the depressive illness at baseline (as measured by higher levels on the general depressive symptom dimension, lower mental component summary scores, prior suicide attempts, younger age at onset of depression and greater number of MDEs), the severity of comorbidities (as measured by higher levels on dimensions of psychopathology and lower physical component summary scores) and a failure to seek treatment for MDE at baseline. This population-based model highlights strategies that may improve the course of MDE, including the need to develop interventions that target multiple psychiatric disorders and promotion of treatment seeking to increase access to timely mental health care.
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Affiliation(s)
- Nicolas Hoertel
- Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA; Assistance Publique-Hôpitaux de Paris (APHP), Corentin Celton Hospital, Department of Psychiatry, 92130 Issy-les-Moulineaux, France; Paris Descartes University, PRES Sorbonne Paris Cité, Paris, France; INSERM UMR 894, Psychiatry and Neurosciences Center, France.
| | - Carlos Blanco
- Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, MD, USA
| | - Maria A Oquendo
- Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA
| | - Melanie M Wall
- Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Mark Olfson
- Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA
| | - Bruno Falissard
- Centre de Recherche en Epidemiologie et Santé des Populations (CESP), Paris-Saclay University, Paris-Sud University, UVSQ, INSERM, APHP, Paris, France
| | - Silvia Franco
- Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA
| | - Hugo Peyre
- Assistance Publique-Hôpitaux de Paris (APHP), Robert-Debré Hospital, Child and Adolescent Psychiatry Department, Paris, France
| | - Cédric Lemogne
- Assistance Publique-Hôpitaux de Paris (APHP), Corentin Celton Hospital, Department of Psychiatry, 92130 Issy-les-Moulineaux, France; Paris Descartes University, PRES Sorbonne Paris Cité, Paris, France
| | - Frédéric Limosin
- Assistance Publique-Hôpitaux de Paris (APHP), Corentin Celton Hospital, Department of Psychiatry, 92130 Issy-les-Moulineaux, France; Paris Descartes University, PRES Sorbonne Paris Cité, Paris, France
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Furnham A, Crump J. Personality correlates of passive-aggressiveness: a NEO-PI-R domain and facet analysis of the HDS Leisurely scale. J Ment Health 2016; 26:496-501. [PMID: 27067835 DOI: 10.3109/09638237.2016.1167853] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND This study looked at the relationship between "bright-side" and "dark-side" personality variables by focusing on the controversial trait of Passive-Aggressiveness. Around 4800 British adults completed the NEO-PI-R which measures the Big Five Personality factors at the Domain and the Facet level, as well as the Hogan Development Survey (HDS) which has a measure of Passive-Aggressiveness called Leisurely. AIM To determine to what extent the well-established Big Five traits measured at both domain and facet level can account for the variance in a measure of passive-aggressiveness. FINDINGS Correlations and regressions indicated that Leisurely individuals are introverted, closed-minded Neurotics, with particular needs for order and deliberation. Neuroticism facets accounted for most of the variance. Overall, the Big Five measured at Domain and Facet level accounted for relatively small amounts of variance, suggesting the divergent validity of this measure of PAPD. CONCLUSIONS This scale measures something that is not captured by comprehensive taxonomies of personality. Limitations and implications for clinical practice are noted.
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Affiliation(s)
- Adrian Furnham
- a Research Department of Clinical , Educational and Health Psychology, University College London , London , UK , and.,b Norwegian Business School (BI) , Nydalveien , Olso , Norway
| | - John Crump
- a Research Department of Clinical , Educational and Health Psychology, University College London , London , UK , and
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Gao Q, Ma G, Zhu Q, Fan H, Wang W. Predicting Personality Disorder Functioning Styles by the Five-Factor Nonverbal Personality Questionnaire in Healthy Volunteers and Personality Disorder Patients. Psychopathology 2016; 49:5-12. [PMID: 26905579 DOI: 10.1159/000443838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Accepted: 01/07/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Detecting personality disorders in the illiterate population is a challenge, but nonverbal tools measuring personality traits such as the Five-Factor Nonverbal Personality Questionnaire (FFNPQ) might help. We hypothesized that FFNPQ traits are associated with personality disorder functioning styles in a predictable way, especially in a sample of personality disorder patients. METHODS We therefore invited 106 personality disorder patients and 205 healthy volunteers to answer the FFNPQ and the Parker Personality Measure (PERM) which measures 11 personality disorder functioning styles. RESULTS Patients scored significantly higher on the FFNPQ neuroticism and conscientiousness traits and all 11 PERM styles. In both groups, the 5 FFNPQ traits displayed extensive associations with the 11 PERM styles, respectively, and the associations were more specific in patients. Associations between neuroticism, extraversion and agreeableness traits and most PERM styles were less exclusive, but conscientiousness was associated with antisocial (-) and obsessive-compulsive styles, and openness to experience with schizotypal and dependent (-) styles. CONCLUSIONS Our study has demonstrated correlations between FFNPQ traits and PERM styles, and implies the nonverbal measure of personality traits is capable of aiding the diagnoses of personality disorders in the illiterate population. Enlarging sample size and including the illiterate might make for more stable results.
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Affiliation(s)
- Qianqian Gao
- Department of Clinical Psychology and Psychiatry, School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
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