title: Alexithymia and personality in relation to dimensions of psychopathology.
abstract: OBJECTIVE
  The authors examined the capacity of alexithymia to predict a broad range of psychiatric symptoms relative to that of other personality dimensions, age, and gender.
  
  
  METHODS
  The Toronto Alexithymia Scale, the Temperament and Character Inventory, and the SCL-90-R were administered to 254 psychiatric patients. Multivariate linear regression analyses were performed.
  
  
  RESULTS
  The difficulties identifying feelings factor of the Toronto Alexithymia Scale significantly predicted all SCL-90-R subscale scores and was particularly effective, relative to the personality dimensions of the Temperament and Character Inventory, in predicting somatization. The Temperament and Character Inventory dimensions emerged as distinct and conceptually meaningful predictors for the different SCL-90-R subscales.
  
  
  CONCLUSIONS
  A broad range of current psychopathology is associated with difficulties in cognitively processing emotional perceptions. Further research needs to clarify whether alexithymia represents a risk factor for mental illness and poorer outcome.
authors.affiliation: Department of Psychiatry, Ernst-Moritz-Arndt University of Greifswald, Klinikum der Hansestadt Stralsund, Rostocker Chaussee 70, 18437 Stralsund, Germany. grabeh@uni-greifswald.de
authors.forename: Hans Joergen
authors.initials: HJ
authors.lastname: Grabe
authors.forename: Carsten
authors.initials: C
authors.lastname: Spitzer
authors.forename: Harald Juergen
authors.initials: HJ
authors.lastname: Freyberger
mesh_terms: D000342:Affective Symptoms / Q000175:diagnosis / Q000523:psychology*; D000367:Age Factors; D002605:Character; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis* / Q000523:psychology; D010552:Personality Assessment; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011569:Psychiatric Status Rating Scales / Q000706:statistics & numerical data*; D011594:Psychometrics; D012044:Regression Analysis; D012737:Sex Factors; D013694:Temperament / Q000145:classification