Literature DB >> 9879799

TEMPS-I: delineating the most discriminant traits of the cyclothymic, depressive, hyperthymic and irritable temperaments in a nonpatient population.

H S Akiskal1, G F Placidi, I Maremmani, S Signoretta, A Liguori, R Gervasi, G Mallya, V R Puzantian.   

Abstract

BACKGROUND: Although most personality constructs have been standardized in population studies, cyclothymic, depressive, irritable and hyperthymic temperaments putatively linked to mood disorders have been classically derived from clinical observations.
METHODS: We therefore administered the semi-structured affective temperament schedule of Memphis, Pisa, Paris and San Diego, Interview version (TEMPS-I) -- in its original University of Tennessee operationalization -- to 1010 Italian students aged between 14 and 26. The interview, administered in a randomized format, took 20 min per subject.
RESULTS: The semi-structured interview was easy to administer and well accepted by subjects, with no refusals. Principal component analysis with varimax rotation confirmed the hypothesized four-dimensional factor structure of the interview, with good to excellent internal consistency. Furthermore, discriminant analysis and multiple regression provided suggestions for identifying the traits that are most useful in defining a weighted cut-off for each of the temperaments (and which, with minor exceptions, are in agreement with those previously proposed on clinical grounds). In an additional exploratory factorial analysis, a depressive type which loads negatively on hyperthymia was distinguished from cyclothymia; the irritable temperament did not appear to have significant loading on either factor. LIMITATION: All the present analyses were internal to the scale itself, but ongoing studies are comparing them with other systems of temperament as well as testing their clinical cogency for affectively ill populations.
CONCLUSION: While more work needs to be done on better operationalization of the irritable temperament, our findings overall support the existence -- in a relatively young nonpatient population -- of cyclothymic, depressive and hyperthymic types according to the classic descriptions of Kraepelin, Kretschmer and Schneider, in their TEMPS-I operationalization. CLINICAL IMPLICATIONS: Coupled with a previous report identifying 10% of the same 14-26-year-old nonpatient population meeting an empirically defined statistical cut-off for these temperaments, the present data define the putative 'fundamental states' that Kraepelin considered to be the personal predisposing anlagé of major affective disorders.

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Year:  1998        PMID: 9879799     DOI: 10.1016/s0165-0327(98)00152-9

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  22 in total

1.  The factor structure of lifetime depressive spectrum in patients with unipolar depression.

Authors:  G B Cassano; A Benvenuti; M Miniati; S Calugi; M Mula; L Maggi; P Rucci; A Fagiolini; F Perris; E Frank
Journal:  J Affect Disord       Date:  2008-10-22       Impact factor: 4.839

2.  Genome-wide association study of temperament in bipolar disorder reveals significant associations with three novel Loci.

Authors:  Tiffany A Greenwood; Hagop S Akiskal; Kareen K Akiskal; John R Kelsoe
Journal:  Biol Psychiatry       Date:  2012-02-23       Impact factor: 13.382

3.  Suicide risk and psychopathology in immigrants: a multi-group confirmatory factor analysis.

Authors:  Paolo Iliceto; Maurizio Pompili; Gabriella Candilera; Guilherme Borges; Dorian A Lamis; Gianluca Serafini; Paolo Girardi
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2012-10-25       Impact factor: 4.328

4.  Factor analysis of temperament and personality traits in bipolar patients: Correlates with comorbidity and disorder severity.

Authors:  Frank Qiu; Hagop S Akiskal; John R Kelsoe; Tiffany A Greenwood
Journal:  J Affect Disord       Date:  2016-10-02       Impact factor: 4.839

5.  The structure of lifetime manic-hypomanic spectrum.

Authors:  G B Cassano; M Mula; P Rucci; M Miniati; E Frank; D J Kupfer; A Oppo; S Calugi; L Maggi; R Gibbons; A Fagiolini
Journal:  J Affect Disord       Date:  2008-06-09       Impact factor: 4.839

6.  Heritability and genome-wide SNP linkage analysis of temperament in bipolar disorder.

Authors:  Tiffany A Greenwood; Judith A Badner; William Byerley; Paul E Keck; Susan L McElroy; Ronald A Remick; A Dessa Sadovnick; Hagop S Akiskal; John R Kelsoe
Journal:  J Affect Disord       Date:  2013-06-10       Impact factor: 4.839

7.  Hopelessness, temperament, anger and interpersonal relationships in Holocaust (Shoah) survivors' grandchildren.

Authors:  Paolo Iliceto; Gabriella Candilera; Diletta Funaro; Maurizio Pompili; Kalman J Kaplan; Moriah Markus-Kaplan
Journal:  J Relig Health       Date:  2011-06

8.  Opposing patterns of neuronal variability in the sensorimotor network mediate cyclothymic and depressive temperaments.

Authors:  Benedetta Conio; Paola Magioncalda; Matteo Martino; Shankar Tumati; Laura Capobianco; Andrea Escelsior; Giulia Adavastro; Daniel Russo; Mario Amore; Matilde Inglese; Georg Northoff
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

9.  Relationship between Temperament, Depression, Anxiety, and Hopelessness in Adolescents: A Structural Equation Model.

Authors:  Paolo Iliceto; Maurizio Pompili; David Lester; Xenia Gonda; Cinzia Niolu; Nicoletta Girardi; Zoltán Rihmer; Gabriella Candilera; Paolo Girardi
Journal:  Depress Res Treat       Date:  2011-07-21

10.  Comparison of the Emotion Regulation and Temperament Characteristics Between Depressive Patients With and Without Mixed Features.

Authors:  Halil İbrahim Taş; Kürşat Altinbaş
Journal:  Noro Psikiyatr Ars       Date:  2019-09-12       Impact factor: 1.339

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