Goldberg Simon B, Kendall Ashley D, Hirshberg Matthew J, Dahl Cortland J, Nahum-Shani Inbal, Davidson Richard J, Bray Bethany C
Center for Healthy Minds, University of Wisconsin - Madison, Madison, WI, USA.
Department of Counseling Psychology, University of Wisconsin - Madison, Madison, WI, USA.
Clin Psychol Sci. 2025 Mar;13(2):332-349. doi: 10.1177/21677026241266567. Epub 2024 Aug 26.
Despite growing popularity, associations between dosage and outcomes in meditation app interventions have not been established. We examined this relationship using a range of operationalizations of dosage (e.g., minutes of use, days of use, number and type of activities completed) and strategies for modeling outcomes (e.g., ordinary least squares regression, multilevel modeling, latent class analysis). We used data from a recently completed randomized controlled trial testing a meditation app (=662; 80.4% with elevated depression/anxiety) which included psychological distress as its preregistered primary outcome. Across 41 models, whether or not an association was detected as well as the shape and direction of this association varied. Although several models indicated that higher dosage was associated with larger decreases in psychological distress, many models failed to show this relationship and some even showed the opposite. These results may have implications for optimizing and studying dosage in meditation apps and for open science practices.
尽管冥想应用程序干预越来越受欢迎,但尚未确定剂量与结果之间的关联。我们使用了一系列剂量操作化方法(例如,使用分钟数、使用天数、完成的活动数量和类型)以及结果建模策略(例如,普通最小二乘法回归、多层次建模、潜在类别分析)来研究这种关系。我们使用了最近完成的一项随机对照试验的数据,该试验测试了一款冥想应用程序(n = 662;80.4% 有抑郁/焦虑症状),该试验将心理困扰作为预先注册的主要结果。在41个模型中,是否检测到关联以及这种关联的形式和方向各不相同。虽然有几个模型表明较高的剂量与心理困扰的更大程度减轻有关,但许多模型未能显示这种关系,有些甚至显示出相反的关系。这些结果可能对优化和研究冥想应用程序中的剂量以及开放科学实践具有启示意义。