新医学2026，Vol.57Issue(3)：261-268,8.DOI:10.12464/j.issn.0253-9802.2025-0370
基于高斯图与有向无环图的双相障碍抑郁-睡眠症状网络核心症状
Core symptoms in a network of depressive and sleep symptoms in bipolar disorder based on Gaussian graphical models and directed acyclic graphs
摘要
Abstract
Objective To construct a network of depressive and sleep symptoms in patients with bipolar disorder and to explore core symptoms and potential causal relationships.Methods A total of 212 inpatients with bipolar disorder hospitalized at the Fifth People's Hospital of Nanning from January 2022 to December 2024 were enrolled.Depressive symptoms were assessed using the depression dimension of the Symptom Checklist-90(SCL-90),and sleep status was evaluated using the Pittsburgh Sleep Quality Index(PSQI).A Gaussian graphical model was used to analyze correlations between depressive symptoms and sleep symptoms,and a directed acyclic graph(DAG)was constructed to analyze potential causal relationships.Results Among the 212 patients with bipolar disorder,the median(IQR)score for the SCL-90 depression factor was 21.50(14.00,38.75),and the median(IQR)PSQI score was 9.00(5.00,14.00).Partial correlation network analysis showed a positive correlation between depressive symptoms and sleep symptoms.Centrality analysis identified three core symptoms:feeling depressed(S30),excessive worry(S31),and feeling worthless(S79).The directed acyclic graph(DAG)indicated a potential influence of depressive symptoms on sleep symptoms,with feeling worthless(S79)serving as a key mediating node that could exert direct or indirect effects on other symptoms.Conclusions Feeling worthless(S79)occupies a central position in the symptom network and may readily trigger other symptoms.Clinical treatments and interventions should prioritize this symptom to reduce its negative impact on patients'overall health status.关键词
双相障碍/睡眠症状/抑郁症状/高斯图模型/有向无环图Key words
Bipolar disorder/Sleep symptoms/Depressive symptoms/Gaussian graphical models/Directed acyclic graphs引用本文复制引用
蓝卫卫,黎冬梅,龙建雄,蓝兰,龚祖康,苏莉..基于高斯图与有向无环图的双相障碍抑郁-睡眠症状网络核心症状[J].新医学,2026,57(3):261-268,8.基金项目
国家自然科学基金(82360664,82060615) （82360664,82060615）
