Conrad Rupert, Wegener Ingo, Imbierowicz Katrin, Liedtke Reinhard, Geiser Franziska
Department of Psychosomatic Medicine and Psychotherapy, University of Bonn, Sigmund Freud Str. 25, 53105 Bonn, Germany.
Psychiatry Res. 2009 Jan 30;165(1-2):137-44. doi: 10.1016/j.psychres.2007.10.013. Epub 2008 Dec 11.
The study investigated the capacity of alexithymic personality features, in combination with temperament and character traits, age and gender, to predict psychopathological symptoms in patients with major depression. Consecutive patients (n=339) were investigated using the Toronto Alexithymia Scale-20 (TAS-20), the Temperament and Character Inventory (TCI), the Symptom Checklist-90-R (SCL-90-R), and the Hamilton Depression and Anxiety Rating Scales (HDRS, HARS). The amount of variance in SCL-90-R subscales and Hamilton scales predicted by TAS-20, TCI, age and gender was calculated by linear regression analyses. The 'difficulties identifying feeling' facet of alexithymia appeared to be a significant predictor of all dimensions of psychopathology. Among TCI scales harm avoidance was the strongest predictor for somatization, phobic anxiety, and anxiety (SCL-90-R, HARS); low self-directedness was the strongest predictor for obsessionality, depression (SCL-90-R, HDRS), interpersonal sensitivity and psychoticism; and low cooperativeness was the strongest predictor for hostility and paranoia. In conclusion, many psychopathological symptoms in major depression are associated with difficulties in the identification of emotions. Relative to alexithymia, Cloninger's psychobiological model of personality could predict psychopathological symptoms in a distinct and meaningful manner. The TAS-20 and the TCI are useful questionnaires for a better understanding of the relationship between psychopathology and personality in major depression.
该研究调查了述情障碍人格特征与气质、性格特征、年龄和性别相结合,对重度抑郁症患者心理病理症状的预测能力。使用多伦多述情障碍量表-20(TAS-20)、气质与性格量表(TCI)、症状自评量表-90修订版(SCL-90-R)以及汉密尔顿抑郁和焦虑评定量表(HDRS、HARS)对连续的339名患者进行了调查。通过线性回归分析计算了由TAS-20、TCI、年龄和性别预测的SCL-90-R分量表和汉密尔顿量表中的方差量。述情障碍的“难以识别情感”方面似乎是心理病理学所有维度的重要预测指标。在TCI量表中,回避伤害是躯体化、恐惧焦虑和焦虑(SCL-90-R、HARS)的最强预测指标;低自我导向是强迫观念、抑郁(SCL-90-R、HDRS)、人际敏感和精神病性的最强预测指标;低合作性是敌意和偏执的最强预测指标。总之,重度抑郁症中的许多心理病理症状与情感识别困难有关。相对于述情障碍,克隆宁格的人格心理生物学模型能够以独特且有意义的方式预测心理病理症状。TAS-20和TCI是有助于更好理解重度抑郁症中心理病理学与人格之间关系的有用问卷。