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TCI-R 对抗抑郁治疗的预测意义。

Predictive significance of TCI-R for antidepressant treatment.

机构信息

Institute of Pharmacology, Jessenius Faculty of Medicine, Martin, Slovak Republic.

出版信息

Med Sci Monit. 2010 Aug;16(8):CR383-8.

Abstract

BACKGROUND

The aim of this study was to investigate the significance of the Temperament and Character Inventory-Revised (TCI-R) dimensions of personality for prediction of treatment outcome in depressed outpatients during 6 months of antidepressant treatment.

MATERIAL/METHODS: Thirty outpatients were treated for mild or moderate depressive episode, current mild or moderate episode of recurrent depressive disorder or mixed anxiety and depressive disorder (ICD-10). The intensity of depression was assessed by the Montgomery-Asberg Depression Rating Scale (MADRS) at the beginning of treatment and then after the 1st, 3rd and 6th months of treatment. The personality dimensions were assessed by the TCI-R at the same time points as the MADRS. Differences in TCI-R dimensions between treatment responders (> or =50% decrease in MADRS score after 6 months of treatment) and nonresponders (<50% decrease in MADRS score) were compared by repeated measures analysis of variance (ANOVA). Predictive value for the treatment outcome was assessed by Spearman's correlation coefficient.

RESULTS

The predictive significance for treatment outcome (Spearman's correlation coefficient) was identified for reward dependence (RD) (R=-0.44) and harm avoidance (HA) (R=0.46) dimensions. Treatment responders and nonresponders significantly differed (ANOVA) in HA (p<0.05), showing a decrease in total mean HA score only in responders during treatment.

CONCLUSIONS

Our findings showed predictive significance of the TCI-R dimensions HA and RD for long-term antidepressant treatment outcome.

摘要

背景

本研究旨在探讨人格特质的 Temperament and Character Inventory-Revised(TCI-R)维度对抑郁症门诊患者接受抗抑郁治疗 6 个月期间治疗结果的预测意义。

材料/方法:30 名门诊患者患有轻度或中度抑郁发作、当前轻度或中度复发性抑郁障碍发作或混合焦虑和抑郁障碍(ICD-10)。治疗开始时以及治疗第 1、3 和 6 个月时使用蒙哥马利-阿斯伯格抑郁评定量表(MADRS)评估抑郁强度。同时使用 TCI-R 评估人格维度。通过重复测量方差分析(ANOVA)比较治疗反应者(MADRS 评分在 6 个月治疗后下降≥50%)和非反应者(MADRS 评分下降<50%)之间 TCI-R 维度的差异。通过 Spearman 相关系数评估治疗结果的预测价值。

结果

治疗结果的预测意义(Spearman 相关系数)在奖励依赖(RD)(R=-0.44)和回避伤害(HA)(R=0.46)维度上得到识别。反应者和非反应者在 HA(p<0.05)方面存在显著差异(ANOVA),仅在反应者中观察到治疗期间 HA 的总分显著下降。

结论

我们的发现表明 TCI-R 维度 HA 和 RD 对长期抗抑郁治疗结果具有预测意义。

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