大型语言模型驱动的压力管理移动干预元分析

IF 21.4 1区心理学 Q1 MULTIDISCIPLINARY SCIENCES

Nature Human Behaviour Pub Date : 2025-04-29 DOI:10.1038/s41562-025-02190-w

引用次数: 0

摘要

通过利用大型语言模型和63个随机对照试验的贝叶斯网络元分析，本研究开发了移动技术提供的压力管理干预措施的三维分类。这项分析审查没有发现证据表明人力或技术支持增强了干预措施的效果，它提供了可扩展的策略来减少心理健康差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Large language model-powered meta-analysis of mobile interventions for stress management

查看原文本刊更多论文

Large language model-powered meta-analysis of mobile interventions for stress management

By leveraging large language models and Bayesian network meta-analysis of 63 randomized controlled trials, this study developed a three-dimensional classification of stress management interventions delivered with mobile technology. This analysis review found no evidence that human or technological support enhances the effects of the interventions, and it offers scalable strategies to reduce mental health disparities.

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来源期刊

Nature Human Behaviour Psychology-Social Psychology

CiteScore

36.80

自引率

1.00%

发文量

227

期刊介绍： Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.