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      What Does Personality Mean in the Context of Mental Health? A Topic Modeling Approach Based on Abstracts Published in Pubmed Over the Last 5 Years

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          Abstract

          Personality disorders (PDs) are one of the major problems for the organization of public health systems. Deepening the link between personality traits and psychopathological drifts, it seems increasingly essential for the often dramatic repercussions that PDs have on social contexts. Some of these disorders, such as borderline PD, antisocial PD, in their most tragic expression, are the basis of problems related to crime, sexual violence, abuse, and mistreatment of minors. Many authors propose a dimensional classification of personality pathology, which has received empirical support from numerous studies over the last 20 years based on more robust theoretical principles than those applied to current nosography. The present study investigates the nature of the research carried out in the last years on the personality in the clinical field exploring the contents of current research on personality relapses, evaluating, on the one hand, the emerging areas of greatest interest and others, those that they stopped generating sufficient motivations in scholars. This study evaluates text patterns regarding how the terms “personality” and “mental health” are used in titles and abstracts published in PubMed in the last 5 years. We use a topic analysis: Latent Dirichlet Allocation that expresses every report as a probabilistic distribution of latent topics that are represented as a probabilistic distribution of words. A total of 7,572 abstracts (from 2012 to 2017) were retrieved from PubMed for the query on “mental health” and “personality.” The study found 30 topics organized in eight hierarchical clusters that describe the type of current research carried out on personality and its clinical relapse. The hierarchical clusters latent themes were the following: social dimensions, clinical aspects, biological issues, clinical history of PD, internalization and externalization symptoms, impulsive behaviors, comorbidities, criminal behaviors. The results indicate that the concept of personality is associated with a wide range of conditions. The study of personality and mental health still proceeds, mainly, according to a practical-clinical approach; too little moves, however, according to an innovative research approach, but the work shows the common commitment of scholars to a new way of dealing with the study of personality.

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          Most cited references50

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          Finding scientific topics.

          A first step in identifying the content of a document is determining which topics that document addresses. We describe a generative model for documents, introduced by Blei, Ng, and Jordan [Blei, D. M., Ng, A. Y. & Jordan, M. I. (2003) J. Machine Learn. Res. 3, 993-1022], in which each document is generated by choosing a distribution over topics and then choosing each word in the document from a topic selected according to this distribution. We then present a Markov chain Monte Carlo algorithm for inference in this model. We use this algorithm to analyze abstracts from PNAS by using Bayesian model selection to establish the number of topics. We show that the extracted topics capture meaningful structure in the data, consistent with the class designations provided by the authors of the articles, and outline further applications of this analysis, including identifying "hot topics" by examining temporal dynamics and tagging abstracts to illustrate semantic content.
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            fastcluster: Fast Hierarchical, Agglomerative Clustering Routines forRandPython

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              A meta-analytic review of the relationships between the five-factor model and DSM-IV-TR personality disorders: a facet level analysis.

              Theory and research have suggested that the personality disorders contained within the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) can be understood as maladaptive variants of the personality traits included within the five-factor model (FFM). The current meta-analysis of FFM personality disorder research both replicated and extended the 2004 work of Saulsman and Page (The five-factor model and personality disorder empirical literature: A meta-analytic review. Clinical Psychology Review, 23, 1055-1085) through a facet level analysis that provides a more specific and nuanced description of each DSM-IV-TR personality disorder. The empirical FFM profiles generated for each personality disorder were generally congruent at the facet level with hypothesized FFM translations of the DSM-IV-TR personality disorders. However, notable exceptions to the hypotheses did occur and even some findings that were consistent with FFM theory could be said to be instrument specific.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                09 January 2020
                2019
                : 10
                : 938
                Affiliations
                [1] 1 SiPGI–Postgraduate School of Integrated Gestalt Psychotherapy , Torre Annunziata, Italy
                [2] 2 Department of Clinical and Experimental Medicine, University of Foggia , Foggia, Italy
                [3] 3 Department of Ophthalmology, University of Foggia , Foggia, Italy
                [4] 4 Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania Luigi Vanvitelli, Caserta, Italy
                [5] 5 Department of Experimental Medicine, Section of Human Physiology and Unit of Dietetic and Sport Medicine, University of Campania Luigi Vanvitelli , Naples, Italy
                [6] 6 Department of Mental Health, Physical and Preventive Medicine, Clinic of Child and Adolescent Neuropsychiatry, University of Campania Luigi Vanvitelli , Naples, Italy
                [7] 7 Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II , Naples, Italy
                Author notes

                Edited by: Roger C. Ho, National University of Singapore, Singapore

                Reviewed by: Valentino Pomini, Université de Lausanne, Switzerland; Zhisong Zhang, Huaibei Normal University, China

                *Correspondence: Raffaele Sperandeo, raffaele.sperandeo@ 123456gmail.com ; Giovanni Messina, giovanni.messina@ 123456unifg.it

                This article was submitted to Public Mental Health, a section of the journal Frontiers in Psychiatry

                †These authors have contributed equally to this work.

                Article
                10.3389/fpsyt.2019.00938
                6962292
                31998157
                68564b96-73fe-4d03-ba4a-8d0af5ea825a
                Copyright © 2020 Sperandeo, Messina, Iennaco, Sessa, Russo, Polito, Monda, Monda, Messina, Mosca, Mosca, Dell'Orco, Moretto, Gigante, Chiacchio, Scognamiglio, Carotenuto and Maldonato

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 January 2019
                : 26 November 2019
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 64, Pages: 0, Words: 6465
                Categories
                Psychiatry
                Systematic Review

                Clinical Psychology & Psychiatry
                personality disorder,mental health,personality trait,topic analysis,mental health promotion

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