Some studies have shown that it may be of interest to consider alterations in personality dimensions during the course of depressive disorder and its treatment.
Personality dimensions can be detected and measured using a questionnaire, the Temperament and Character Inventory (TCI). It was developed as a self-report personality questionnaire. The new version of the TCI, the Temperament and Character Inventory-Revised (TCI-R), was used to predict treatment outcome during long-term antidepressant treatment.
A total of 30 patients were enrolled, 17 met criteria for mild to moderate depressive period, 2 had a current mild to moderate episode of recurrent depressive disorder, and 11 had mixed anxiety-depressive disorder. At baseline (0) and after the 1st, 3rd, and 6th (6) months of treatment, the Montgomery-Asberg Depression Rating Scale (MADRS) assessed the impact of depression, and the TCI-R assessed personality sides. Mean scores on the TCI-R dimensions in treatment responders (decrease ≥50% in MADRS score) and nonresponders (decrease <50% in MADRS score) after 6 months of treatment were compared by repeated measures analysis of variance (ANOVA).
Spearman’s correlation coefficient measured the predictive value of treatment outcome. The reward dependence (RD) and harm avoidance (HA) dimensions were identified as predictors of treatment outcome, with RD(0) correlating negatively (R=-0.44) with MADRS(6), and HA(0) correlating positively (R=0.46) with MADRS(0). Positive treatment outcome was predicted by higher monthly HA and RD scores at baseline. Repeated-measures ANOVA distinguished responders from nonresponders on the basis of HA score responses during treatment (p<0.05), which did not decline only in responders.
Thus, the RD and HA dimensions of the TCI-R have predictive value for treatment outcome. Because HA can distinguish between responders and nonresponders to treatment in the early stages of treatment, this could be important information in the clinical decision making process.