ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2013, Vol. 21 ›› Issue (1): 118-124.doi: 10.3724/SP.J.1042.2013.00118

• 研究前沿 • 上一篇    下一篇

无望抑郁认知易感操作化方法及其研究述评

周丽华;陈健;苏林雁   

  1. (1中南大学湘雅二医院精神卫生研究所, 长沙 410011) (2湖南师范大学教育科学学院, 长沙 410081) (3湖南工学院, 衡阳 421002)
  • 收稿日期:2012-03-22 出版日期:2013-01-15 发布日期:2013-01-15
  • 通讯作者: 苏林雁
  • 基金资助:

    国家自然科学基金(81171291)儿童青少年双相障碍不同时相的表观遗传学、功能磁共振研究和早期预测模型

Operationalizing the Cognitive Vulnerability of Hopelessness Depression and Its Related Research

ZHOU Lihua;CHEN Jian;SU Linyan   

  1. (1 Mental Health Institute, the 2ndXiangya Hospital, Central South University, Changsha 410011, China) ( 2 School of Education Science, Hunan Normal University, Changsha 410081, China) (3 Hunan Institute of Technology, Hengyang 421002, China)
  • Received:2012-03-22 Online:2013-01-15 Published:2013-01-15
  • Contact: SU Linyan

摘要: 合成分数、基于最弱联结假设提出的最大值以及基于解释方式差异性提出的个体内标准差是目前无望抑郁研究中应用较广的认知易感操作化方法。回顾无望抑郁研究所使用的认知易感操作化方法, 梳理这些操作化方法对理解无望抑郁症状发展及其治疗的意义, 可发现合成分数与最大值反映了无望抑郁认知易感因子之间关系的不同侧面, 后续研究可继续对这两种操作化方法进行比较, 以个体内标准差计算出的解释弹性可能是无望抑郁理论之外新的易感因素, 可为治疗抑郁提供新的视角。

关键词: 无望抑郁, 认知易感操作化, 合成分数, 最大值, 个体内标准差

Abstract: Operationalizing the cognitive vulnerability includes composite score, the highest score, and intra-individual standard deviation, which are used widely in depression researches. In the present, we reviewed these approaches and appreciated their significance during the course and therapy of hopelessness depression. We found that the composition score and the highest score reflected the different aspects of the cognitive vulnerability factors in hopelessness depression respectively. Therefore, comparing the two methods would be of great importance in future research. In addition, explanatory flexibility, which was represented by intra-individual standard deviation, may be a new vulnerability component beyond the hopelessness theory, and thus should shed light on the therapy of depression.

Key words: hopelessness depression, operationalizing cognitive vulnerability, composite score, the highest score, intra-individual standard deviation