基于互联网的认知行为疗法在怀孕期间使用现实数据治疗抑郁症状的有效性:回顾性队列研究
Asuka Takae1, Natsu Sasaki1, Kotaro Imamura1,2
1Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
JMIR mHealth and uHealth
|December 11, 2025
概括
基于互联网的认知行为疗法 (iCBT) 有效地减少了使用移动应用程序的孕妇的抑郁症状. 这项现实研究显示,怀孕期间心理健康状况有了适度但显著的改善.
科学领域:
- 心理健康 心理健康
- 数字治疗学数字治疗学
- 围产期护理 围产期护理
背景情况:
- 抑郁症影响大约20%的孕妇.
- 基于互联网的认知行为疗法 (iCBT) 对抑郁症和下值症状有效.
- 在孕妇人群中,iCBT的实际有效性数据有限.
研究的目的:
- 评估基于移动应用程序的iCBT程序在减少孕妇抑郁症状方面的实际有效性.
- 评估之前开发的iCBT程序的影响,并集成到Luna Luna Baby应用程序中.
主要方法:
- 一项回顾性队列研究分析了Luna Luna Baby应用程序 (2022年9月至2024年9月) 的日志数据.
- 完成所有6个ICBT模块的用户是暴露组 (n=119);根据基线特征匹配的非用户是对照组 (n=448).
- 主要结局是爱丁堡产后抑郁症评分 (EPDS) 的变化,使用重复的双向ANOVA进行分析.
主要成果:
- 该iCBT计划在减少抑郁症状方面显示出统计学上显著的效果 (P=.04).
- 暴露组的EPDS得分平均变化为-0.69,而非暴露组的EPDS得分平均变化为-0.99.
- 观察到适度的效果大小 (Cohen d=0.31),表明iCBT的积极影响.
结论:
- 基于移动应用程序的iCBT程序在现实世界中有效地减少孕妇的抑郁症状.
- 该研究强调了数字健康干预对围产期心理健康的潜力.
- 未来的研究应该专注于尽量减少参与者学,并提高计划参与度.
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