Literature DB >> 4059494

Psychiatric syndromes from a clinical and a biostatistical point of view.

D von Zerssen.   

Abstract

Syndromes are typical combinations of symptoms. They may be conceived at different levels of complexity, intuitively from a clinical point of view and objectively by means of factor- or cluster-analyses. Primary factors of symptom scores obtained with the aid of psychiatric rating scales represent syndromes of low complexity, secondary factors represent syndromes of higher complexity. The highest level is achieved by rotating only the first factors extracted from the matrix of intercorrelations among primary factors of psychopathology. Principal component analysis of 12 Inpatient Multidimensional Psychiatric Scale factors that reflect the psychopathological states at admission of 1,080 psychotic inpatients yielded the highly complex endogenomorphic syndromes of schizophrenic and manic-depressive symptomatology, respectively, in a two-factor solution. These syndromes were cut down to lower order syndromes in the four-factor solution resulting from rotation according to the conventional Kaiser criterion. They represent a syndrome of psychotic excitement, a paranoid-hallucinatory syndrome, a syndrome of endogenomorphic (retarded) depression and a syndrome of organic symptomatology. The different factor solutions may be useful for describing psychopathological phenoma objectively at different levels of complexity.

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Year:  1985        PMID: 4059494     DOI: 10.1159/000284220

Source DB:  PubMed          Journal:  Psychopathology        ISSN: 0254-4962            Impact factor:   1.944


  2 in total

1.  Diurnal variation of mood and the cortisol rhythm in depression and normal states of mind.

Authors:  D von Zerssen; P Doerr; H M Emrich; R Lund; K M Pirke
Journal:  Eur Arch Psychiatry Neurol Sci       Date:  1987

2.  Joint analysis of transcriptional and post- transcriptional brain tumor data: searching for emergent properties of cellular systems.

Authors:  Raffaele Fronza; Michele Tramonti; William R Atchley; Christine Nardini
Journal:  BMC Bioinformatics       Date:  2011-03-30       Impact factor: 3.169

  2 in total

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