Data_Sheet_3_Network analysis of acute stress reaction in a sample of Chinese male military college students.docx

BackgroundAcute stress reaction (ASR) following a stressful event is associated with stress-related mental disorders. However, no studies have investigated the relationships between ASR symptom clusters. The present study aimed to provide a fine-grained understanding of the complex relationships among symptom clusters and identify the central symptom clusters of ASR using network analysis.MethodsThe Acute Stress Reaction Scale (ASRS) was used to investigate the network structure of ASR in 1792 Chinese male military college students who were about to participate in an important physical fitness test. We calculated the weights of the edges connecting different symptom clusters and the central indices of 25 symptom clusters in the final network.ResultsThere were five strongest edges with significantly higher weights than most other edge weights, including the edges between “Less communication” and “Isolated from others.” The symptom clusters of “Somatic symptoms,” “Hypoprosexia,” and “Anxiety” were found to be the central nodes with the highest expected influences (primary centrality index).ConclusionThe present study explored the network structure of ASR, revealed complex connections between symptom clusters, and identified central clusters. These findings have important clinical implications, and it is suggested that the three central symptom clusters may be potential targets for effective interventions for ASR.

背景：在经历压力事件后，急性应激反应（ASR）与压力相关精神障碍密切相关。然而，目前尚无研究探讨ASR症状群之间的相互关系。本研究旨在通过网络分析方法，对ASR症状群之间的复杂关系进行细致解析，并识别ASR的核心症状群。方法：采用急性应激反应量表（ASRS）对即将参加重要体能测试的1792名中国男性军校学生进行ASR网络结构的研究。我们计算了连接不同症状群的边权重以及最终网络中25个症状群的核心指数。结果：存在五条权重显著高于其他边权重的最强边，包括“沟通减少”与“与他人隔离”之间的边。研究发现，“躯体症状”、“低性欲”和“焦虑”三个症状群是具有最高预期影响力的核心节点（初级中心性指数）。结论：本研究探讨了ASR的网络结构，揭示了症状群之间的复杂联系，并确定了核心症状群。这些发现具有重要的临床意义，建议将这三个核心症状群作为ASR有效干预策略的潜在靶点。