控制实验中nocebo效应的调节者:一个多层次的元分析
Madeline V Stein1, Monika Heller2, Natasha Hughes3
1Department of Psychology, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, UK.
Neuroscience and biobehavioral reviews
|February 6, 2025
概括
随机效应,即情境暗示使症状恶化,受到暗示类型和给药方式的适度影响. 技术设备,假刺激和调节会产生比口头暗示或社会观察更大的nocebo效应.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 医学研究 医学研究
背景情况:
- 诺塞博效应是一种复杂的现象,其中情境线索,而不是积极的治疗方法,引发或加剧症状.
- 诱导nocebo效应的既定方法包括暗示,条件化和社会观察.
- 建议类型和给药方式在症状领域对nocebo效应的差异影响尚不清楚.
研究的目的:
- 在受控实验中对调节nocebo效应的因素的研究进行定量合成.
- 调查建议类型和给药方式如何影响nocebo效应的大小.
- 为了确定与更大的nocebo效应相关的特定方法.
主要方法:
- 进行了一项预先注册的元分析 (PROSPERO CRD42023402097).
- 分析了来自105个控制的nocebo实验的数据,涉及5017名参与者和391个效果大小.
- 使用多层次元分析来评估整体效应大小并确定调节者.
主要成果:
- 发现nocebo效应的整体适度效果大小 (g=0.50).
- 症状预期大小显著缓解了nocebo效应.
- 技术设备,假刺激和调节与巨大的nocebo效应有关,而口头暗示和社会观察产生了中等效应.
结论:
- 诺塞博效应是一个显著的现象,受到各种诱导方法的影响.
- 特定的方法,如技术设备和调节,在诱导nocebo效应方面更为有效.
- 报告nocebo诱导方法的增强特异性对于了解其有效性至关重要.
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