研究生压力生活事件与抑郁、焦虑和躯体症状的相互关系模式:基于网络分析的研究
Correlation patterns of stressful life events, depression, anxiety, and somatic symptoms in graduate students: a study based on network analysis
投稿时间:2024-10-10  修订日期:2025-07-18
DOI:
中文关键词:  压力生活事件  心理健康  研究生  网络分析
英文关键词:Stressful life events  Mental health  Graduate students  Network analysis
基金项目:中国博士后科学基金; 四川省科技计划项目
作者单位地址
邓伟利 四川大学华西医院 四川省成都市四川大学华西医院心理卫生中心
蔡佳 四川大学华西医院 
吕秋玥 四川大学华西医院 
马千淑 四川大学华西医院 
罗宇鹏 四川大学华西医院 
谢敏* 四川大学华西医院 四川省成都市四川大学华西医院心理卫生中心
王强 四川大学华西医院 
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中文摘要:
      【】背景 压力生活事件在研究生群体中普遍存在,对他们的心理健康造成了显著的负面影响。然而,目前尚不清楚压力生活事件与抑郁、焦虑及躯体症状之间的相互关系模式。目的 探讨高等院校研究生压力生活事件与抑郁、焦虑和躯体症状之间的相互关系模式。方法 所有硕博研究生于2018年9月入学时填写心理健康筛查问卷,包括一般信息、青少年生活事件量表(ASLEC)、广泛性焦虑障碍量表(GAD-7)、抑郁症状自评量表(PHQ-9)和躯体症状量表(PHQ-15)。使用R4.2.3 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 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,以及“感到似乎将有可怕的事情发生而害怕”是桥强度和桥预期影响最大的桥梁症状。同时,“情绪低落、沮丧或绝望”、“不能够停止或控制担忧”和“精力不足”均是网络的核心和桥梁症状。症状网络中核心和桥梁症状的预期影响及强度相关的稳定性系数为0.75,这表明该网络具有良好的稳定性。结论 研究发现学习压力是影响研究生心理健康的关键因素。针对核心和桥梁症状的系统化多层次干预措施可能有助于缓解研究生群体的心理健康问题。
英文摘要:
      【】Background: Stressful life events are prevalent among graduate students, significantly impacting their mental health. However, the interplay between these stressful events and symptoms of depression, anxiety, and somatic issues remains unclear. Objective: To explore the relationship between stressful life events, depressive symptoms, anxiety symptoms and somatic symptoms in graduate students. Methods: All graduate students completed mental health screening questionnaires at the time of enrollment in September 2018, including general information, Adolescent Self-Rating Life Events Check List (ASLEC), the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Patient Health Questionnaire-15 (PHQ-15). Utilizing the "qgraph" and "bootnet" packages in R version 4.2.3, this study constructs a network of symptoms, identifies central and bridging symptoms within this network, and assesses the stability of the outcomes. Results: In the constructed symptom network, “learning stress” was identified as the central symptom exerting the most significant influence on both symptom strength and expected influence, and “feeling as if something terrible is going to happen” was distinguished as the bridging symptom with the most substantial impact on symptom intensity and bridge expected influence. Furthermore, “low mood, depression, or hopelessness”, “inability to stop or control worry”, and “lack of energy” were identified as central and bridge symptoms. In addition, the correlation stability coefficient for the expected influence and strength of core and bridge symptoms in the symptom network is 0.75, indicating that the network exhibits strong stability. Conclusion: The study found that academic stress is a key factor affecting the mental health of graduate students. Systematic, multi-level intervention strategies targeting core and bridge symptoms may help alleviate mental health issues within the graduate student population.
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