| 邓伟利,蔡佳,吕秋玥,马千淑,罗宇鹏,谢敏,王强.研究生生活事件与抑郁、焦虑和躯体症状的相互关系模式：基于网络分析的研究[J].四川精神卫生杂志,2025,(4):364-373.Deng Weili,Cai Jia,Lyv Qiuyue,Ma Qianshu,Luo Yupeng,Xie Min,Wang Qiang,Correlation of life events with depression， anxiety and somatic symptoms in graduate students： a study based on network analysis[J].SICHUAN MENTAL HEALTH,2025,(4):364-373 |
| 研究生生活事件与抑郁、焦虑和躯体症状的相互关系模式：基于网络分析的研究 |
| Correlation of life events with depression， anxiety and somatic symptoms in graduate students： a study based on network analysis |
| 投稿时间：2024-10-10 |
| DOI：10.11886/scjsws20241010003 |
| 中文关键词: 生活事件 心理健康 研究生 网络分析 |
| 英文关键词:Life events Mental health Graduate students Network analysis |
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| 背景 生活事件在研究生群体中普遍存在，部分生活事件可能对其心理健康水平存在负面影响。然而，目前生活事件与抑郁、焦虑及躯体症状之间的相互关系尚不清楚。目的 探讨研究生生活事件与抑郁、焦虑和躯体症状之间的关系，以期为研究生焦虑、抑郁及躯体症状的预防提供参考。方法 于2018年9月—11月纳入中国西南一所综合性大学的6 722名新入学研究生为研究对象。采用青少年生活事件量表（ASLEC）、广泛性焦虑障碍量表（GAD-7）、患者健康问卷抑郁量表（PHQ-9）以及患者健康问卷躯体症状群量表（PHQ-15）进行评定。使用R 4.2.3 的程序包“qgraph”和“bootnet”构建症状网络，探索网络中心和桥梁症状并评估结果的稳定性。结果 共6 171名（91.80%）研究生完成本研究。检出777名（12.59%）研究生存在轻度以上焦虑症状，1 026名（16.63%）研究生存在轻度以上抑郁症状，1 707名（27.66%）研究生存在轻度以上躯体症状。在症状网络中，学习压力是强度和预期影响最大的核心症状（强度和预期效应均为1.207）；情绪低落、沮丧或绝望是桥强度和桥预期影响最大的桥梁症状（桥强度和预期效应均为0.454）。女性和男性的全局网络强度和连边权重比较，差异均无统计学意义（P均>0.05）。结论 学习压力作为最为中心的条目，可能对整体症状网络的构建起到了主导作用，且与其他负性情绪症状之间存在较强的相互作用。该网络结构未见性别差异。 |
| 英文摘要: |
| Background Graduate students frequently face life events， many of which may adversely affect their mental well-being. However， the interaction between life events and the development of depression， anxiety， and somatic symptoms remains unclear.Objective To explore the relationship between life events and the development of depressive， anxiety and somatic symptoms in graduate students， thereby informing prevention strategies for these conditions.Methods A sample of 6 722 newly enrolled graduate students at a comprehensive university in Southwest China from September to November 2018 was selected. The assessment was conducted using the Adolescent Self-rating Life Events Checklist （ASLEC）， the 7-item Generalized Anxiety Disorder scale-7 item （GAD-7）， the Patient Health Questionnaire Depression Scale-9 item （PHQ-9）， and the Patient Health Questionnaire-15 （PHQ-15）. Network analysis was implemented by using the bootnet and qgraph packages in the R software （version 4.2.3）， with centrality indices calculated to identify core and bridge symptoms within the network.Results The study encompassed a total of 6 171 graduate students， representing 91.80% of the target population. The prevalence rates of anxiety， depressive， and somatic symptoms among graduate students were 12.59% （777/6 171）， 16.63% （1 026/6 171）， and 27.66% （1 707/6 171）， respectively. Network analysis revealed that 'academic stress' was the core symptom with the highest strength and expected influence （both values=1.207）， while 'feeling down， depressed， or hopeless' was the bridge symptom with the highest bridge strength and bridge expected influence （both values=0.454）. There was no significant difference in global network strength and edge weight between women and men （P>0.05）.Conclusion Academic stress， emerging as the core symptom， assumes a dominant position within the symptom network and exhibits strong interactions with other negative affective states. There was no gender difference in the network structure. |
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