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The psycho-periodic cube.
Ceylan, Mehmet Emin; Evrensel, Alper; Dönmez, Aslihan; Önen Ünsalver, Baris; Kaya Yertutanol, Fatma Duygu; Çom, Ahmet Mete.
Afiliação
  • Ceylan ME; Departments of Psychology and Philosophy, Üsküdar University, Istanbul, Turkey.
  • Evrensel A; Department of Psychology, Üsküdar University, Istanbul, Turkey. Electronic address: alper.evrensel@uskudar.edu.tr.
  • Dönmez A; Department of Psychology, Üsküdar University, Istanbul, Turkey.
  • Önen Ünsalver B; Vocational School of Health Services, Department of Medical Documentation and Secretariat, Üsküdar University, Istanbul, Turkey.
  • Kaya Yertutanol FD; Department of Psychology, Üsküdar University, Istanbul, Turkey.
  • Çom AM; Freelance Developer, Istanbul, Turkey.
Med Hypotheses ; 126: 69-77, 2019 May.
Article em En | MEDLINE | ID: mdl-31010503
ABSTRACT
The current diagnostic classification systems in psychiatry have been developed primarily for evidence-based clinical decision making with both categorical and dimensional approaches having their own advantages and disadvantages. Efforts have been made to improve these classification systems, and we are now at the point where we must expand beyond the one-dimensionality of these systems. In this paper, we propose that psychiatric disorders can be arranged in a three-dimensional classification system according to the degree of dysfunctions on three specific axes in a way that is similar to the arrangement of chemical elements according to their atomic weights in Mendeleyev's periodic table. For the three axes, we chose externalization, drive, and attention to represent the three-dimensional descriptions of mental health, namely, well-being in social, motivational, and cognitive areas, respectively. Throughout the paper, we explain our reasons for choosing these three axes and compare our hypothesis with categorical diagnostic systems as well as Cloninger's dimensional diagnostic system using personality disorders, affective disorders, and schizophrenia as the specific diagnostic samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psiquiatria / Sistemas de Apoio a Decisões Clínicas / Transtornos Mentais / Mães Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psiquiatria / Sistemas de Apoio a Decisões Clínicas / Transtornos Mentais / Mães Idioma: En Ano de publicação: 2019 Tipo de documento: Article