知识与财富的链接
系统理论强调系统中各元素之间的多维交互作用及其随时间发生的动态变化,为理解和探究精神疾病的形成、维持和发展提供了重要的理论框架和分析工具。本文基于复杂系统视角,聚焦抑郁障碍和焦虑障碍,探讨多因素交互网络对二者发生发展的影响,并梳理基于动态系统理论的早期预警信号在症状预测中的研究进展。同时,选取两种系统导向的心理干预方案——接纳与承诺疗法（ACT）和针对情绪困扰的正念干预（MIED）,基于二者的心理病理模型,从跨诊断层面阐释抑郁障碍和焦虑障碍的多因素相互作用,并进一步分析相应的核心干预策略对关键因素的调适以实现临床改善的机制。
Systems theory emphasizes the multidimensional interactions among elements within a system and their dynamic changes over time, to provide a crucial theoretical framework and analytical tools for investigating the onset and evolution of mental disorders. From a complex systems perspective, this review examines the influence of multi-factor interaction networks on the development of depressive and anxiety disorders, and reviews research progress on early-warning signals based on dynamical systems theory for symptom prediction. This study specifically examines two system-oriented psychological interventions： acceptance and commitment therapy （ACT） and mindfulness-based intervention for emotional distress （MIED）. Building upon their respective psychopathological models, this review elucidates the multifactorial interaction of depressive and anxiety disorders at a transdiagnostic level, and further analyzes the mechanism through which core intervention strategies adjust the key factors to achieve clinical improvement. ［Funded by General Projects of National Natural Science Foundation of China （number, 32371138）］
