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1.重庆医科大学公共卫生学院流行病与卫生统计教研室,重庆 400016
2.陆军军医大学大坪医院口腔科,重庆 400042
杨国辉,Email:2022110595@stu.cqmu.edu.cn,研究方向:重大传染病防控。
钟晓妮,Email:zhongxiaoni@cqmu.edu.cn。
收稿:2024-11-20,
修回:2024-12-10,
录用:2024-12-21,
纸质出版:2025-09-28
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杨国辉,古文彬,赖贵川,等.男男性行为者中焦虑、抑郁、压力症状与心理弹性的网络分析[J].重庆医科大学学报,2025,50(9):1149-1155.
Yang Guohui,Gu Wenbin,Lai Guichuan,et al.Network analysis of anxiety,depression,stress symptoms and psychological resilience among men who have sex with men[J].Journal of Chongqing Medical University,2025,50(9):1149-1155.
杨国辉,古文彬,赖贵川,等.男男性行为者中焦虑、抑郁、压力症状与心理弹性的网络分析[J].重庆医科大学学报,2025,50(9):1149-1155. DOI: 10.13406/j.cnki.cyxb.003787.
Yang Guohui,Gu Wenbin,Lai Guichuan,et al.Network analysis of anxiety,depression,stress symptoms and psychological resilience among men who have sex with men[J].Journal of Chongqing Medical University,2025,50(9):1149-1155. DOI: 10.13406/j.cnki.cyxb.003787.
目的
2
探讨中国男男性行为者(men who have sex with men,MSM)人群中抑郁、焦虑和压力症状网络的特征,并检验心理弹性与这些症状的联系,为MSM量身定制心理健康干预措施提供参考。
方法
2
2022年5月至8月在我国西南地区(重庆市和四川省)进行了1项横断面调查。使用焦虑、抑郁和压力量表-21(depression,anxiety and stress scale-21,DASS-21)来评估MSM心理健康相关症状。使用心理弹性量表简版(conner-davidson resilience scale-10,CD-RISC-10)评估心理弹性。构建正则化的偏相关网络,然后构建贝叶斯网络以识别症状中潜在的因果关系。使用流网络来探究心理弹性与焦虑、抑郁、压力症状之间的关系。
结果
2
共938例MSM纳入分析。合并抑郁、焦虑和压力的比例为29.74%。“崩溃”“害怕”“无法放松”和“沮丧”显示出高度的预期影响。桥接症状为“崩溃”“沮丧”和“不安”。中心和桥接症状也出现在贝叶斯网络的顶部。心理弹性与“缺乏主动性”“沮丧”“无意义”“崩溃”和“无法放松”呈负相关。
结论
2
网络分析识别了中心症状“崩溃”“害怕”“无法放松”和“沮丧”以及桥接症状“崩溃”“沮丧”和“不安”。这些症状的潜在因果优先级很突出。针对中心和桥接症状量身定制干预措施可能是有效的,并且提供增强心理弹性的干预措施可以减轻负性情绪相关的症状,特别是MSM人群中的抑郁症状。
Objective
2
To explore the characteristics of depression,anxiety,and stress symptoms among Chinese men who have sex with men(MSM),to determine the links of psychological resilience with these symptoms at the symptom level,and to provide insights for tailoring mental health intervention measures for MSM.
Methods
2
A cross-sectional survey was conducted in southwestern China (Chongqing and Sichuan) from May to August 2022. The Depression,Anxiety,and Stress Scale-21 was used to assess mental health-related symptoms in MSM. Psychological resilience was evaluated using the brief version of the Connor-Davidson Resilience Scale. A regularized partial correlation network was constructed,and then a Bayesian network was established to identify potential causal relationships in symptoms. A flow network was used to explore the link between psychological resilience and symptoms of anxiety,depression,and stress.
Results
2
A total of 938 MSM were included in the analysis. The proportion of MSM with depression,anxiety,and stress was 29.74%. “Panic”,“scared”,“no relax”,and “down-hearted” showed high expected influence. Bridging symptoms were “panic”,“down-hearted”,and “agitated”. Central and bridging symptoms also appeared at the top of the Bayesian network. Psychological resilience was negatively correlated with “no initiative”,“down-hearted”,“meaningless”,“panic”,and “no relax”.
Conclusion
2
Central symptoms “panic”,“scared”,“no relax”,and “down-hearted”,as well as bridging symptoms “panic”,“down-hearted”,and “agitated” are identified through network analysis. The potential causal priority of these symptoms is prominent. Interventions tailored to central and bridging symptoms may be effective,and interventions for enhancing psychological resilience may alleviate negative emotion-related symptoms,especially depressive symptoms in the MSM population.
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