[目的/意义]通过构建多层级驱动模型，系统解析移动短视频用户数字脱瘾行为驱动要素的拓扑关系与
作用路径，为数字健康生态提供兼具理论解释力与实践操作性的研究范式。[方法/过程]首先，通过扎根理论分析
识别出多个影响用户数字脱瘾行为的关键要素；其次，构建ADSM模型对这些要素进行层级划分和传导路径的探
索，揭示各要素间的相互关系；最后，通过MICMAC方法对驱动要素进行类群划分，并验证所构建模型的合理性与
有效性。[结果/结论]移动短视频用户数字脱瘾行为驱动要素可分为七个层级，12项驱动要素可划分为依赖要素
群、自主要素群和驱动要素群三类，其中自我调节能力是移动短视频用户数字脱瘾行为最根本的驱动要素。

[Purpose/significance] By constructing a multi-level driving model, this study systematically analyzes the
topological relationships and action pathways of driving factors influencing mobile short video users' digital detox be⁃
haviors, aiming to provide a research paradigm with both theoretical explanatory power and practical applicability for
the digital health ecosystem. [Method/process] First, grounded theory analysis was employed to identify key factors af⁃
fecting users' digital detox behaviors. Second, the ADSM was applied to categorize these factors hierarchically and ex⁃
plore their transmission paths, revealing interrelationships among them. Finally, the MICMAC algorithm was used to
classify the influencing factors into clusters and validate the effectiveness and reliability of the constructed model. [Re⁃
sult/conclusion] The results indicate that the counter-dependency model of mobile short video users' digital disen⁃
gagement behaviors can be divided into seven hierarchical levels. The twelve driving factors are further classified into
three clusters: dependent clusters, autonomous clusters, and driving clusters. Among them, self-regulation capability is
identified as the most fundamental driver influencing digital detox behaviors.