目的 探讨高龄失能老年群体焦虑与抑郁症状的网络关系特征，识别核心和桥接症状，为共病障碍的干预提供潜在靶点。方法 纳入2017—2018年中国老年健康长寿调查第7次数据中的80岁及以上失能老年人。采用广泛性焦虑量表和流行病学研究中心抑郁量表评估焦虑和抑郁症状。使用R软件构建并可视化偏相关网络模型，计算节点的中心性指标。结果 共纳入1652名80岁及以上失能老年人，网络分析显示症状间连接密度为0.73。无法控制的担忧具有最高的强度中心性（Strength=7.14）和预期影响力（EI=1.00），烦躁不安是最重要的桥接症状（BEI=0.34）。网络结构稳定性和准确性良好。结论 本研究通过网络分析方法揭示了高龄失能老年人焦虑和抑郁症状网络的关键节点和桥接症状，不仅深化了对老年情绪障碍复杂性的理解，也为临床实践中的精准干预和预防策略提供了新的视角和依据。

Objective To explore the network relationship characteristics between anxiety and depression symptoms in elderly disabled individuals and identify core and bridging symptoms,so as to provide potential targets for the intervention of comorbid disorders.Methods Disabled elderly aged 80 and above included in the seventh wave of data from the 2017-2018 China Longitudinal Healthy Longevity Survey.Anxiety and depression symptoms were assessed using the Generalized Anxiety Disorder Scale and the Center for Epidemiologic Studies Depression Scale.A partial correlation network model using R software was constructed and visualized and the centrality indices of nodes was calculated.Results A total of 1652 disabled elderly aged 80 and above were included.Network analysis showed that the symptoms were closely connected (density=0.73).Uncontrollable worry has the highest intensity strength centrality (Strength=7.14) and expected influence (EI=1.00),and feeling nervous,anxious,or on edge is the most important bridging symptom (BEI=0.34).The network structure demonstrated good stability and accuracy.Conclusions This study used network analysis to reveal key nodes and bridging symptoms in the anxiety and depression symptom network of elderly disabled individuals.It not only deepens our understanding of the complexity of emotional disorders in the elderly but also provides new perspectives and evidence for precise interventions and preventive strategies in clinical practice.

R473.74

四川省心理健康教育研究中心课题（XLJKJY2336B）