Data_Sheet_1_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）与压力相关心理障碍存在关联。然而，迄今为止，尚无研究探讨ASR症状群集之间的相互关系。本研究旨在深入理解症状群集之间的复杂关联，并利用网络分析方法识别ASR的中心症状群集。方法：本研究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的ASR网络结构进行研究。我们计算了连接不同症状群集的边权重以及最终网络中25个症状群集的中心指数。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”、“低动力”和“焦虑”症状群集是具有最高预期影响（主要中心度指数）的中心节点。结论：本研究探讨了ASR的网络结构，揭示了症状群集之间的复杂联系，并确定了中心群集。这些发现具有重要的临床意义，并建议这三个中心症状群集可能是有效干预ASR的潜在靶点。