评估基于视觉特征的增强对抑郁症认知偏差修改的影响:一个概念验证随机对照试验
C C Lin1, O Manathungage2, C W Hsu3
1Department of Psychological Medicine, The University of Otago, Dunedin, ,School of Medicine, New Zealand; Department of Psychiatry, National Taiwan University College of Medicine, Taipei, Taiwan.
Journal of affective disorders
|February 25, 2026
概括
认知偏差修改解释 (CBM-I) 有效地减少了抑郁症治疗中的负面解释偏差. 然而,添加视觉或角色实施例并没有显著提高治疗效果,而不是仅以文本干预.
科学领域:
- 数字心理健康干预数字心理健康干预
- 认知行为疗法是一种认知行为疗法.
背景情况:
- 临床抑郁症影响全球许多人,现有的治疗方法往往不足.
- 认知偏差修改解释 (CBM-I) 是一种数字疗法,通过重构模两可的场景来针对负面思维.
- 通过视觉和角色体现来增强CBM-I被探索以改善用户参与和治疗结果.
研究的目的:
- 调查是否增强的认知偏差修改解释 (CBM-I) 与图形和角色实施例改善了抑郁症的存在,沉浸和治疗效果.
- 为了比较传统的纯文本CBM-I与以视觉元素和字符实施方式增强的版本的有效性.
主要方法:
- 138名参与者被随机分为四组:只有文本的CBM-I,带图片的CBM-I (没有角色),带图片和角色体现的CBM-I (角色),以及对照组.
- 所有组都接受了相同的程序,除了提供CBM-I的版本.
- 评估了解释偏差,存在,沉浸和在Anagram任务上的表现.
主要成果:
- 与对照组相比,所有三个CBM-I培训组都显著改善了解释偏差.
- 不同的CBM-I训练条件 (只有文本,没有字符,字符) 之间没有发现治疗结果的显著差异.
- 在存在感中观察到显著差异,但在沉浸或Anagram任务执行中没有.
结论:
- 虽然所有积极的CBM-I干预措施都减少了负面解释偏差,但视觉增强和角色体现并没有产生增量治疗益处.
- 该研究提出了一些局限性,包括缺乏预先注册,可能不足以进行组间比较,以及需要更现实的视觉效果.
- 未来的研究应该专注于改进视觉现实主义,开发更好的实施措施,并使用更大,预先注册的样本来充分评估CBM-I中基于角色的实施方式.
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