目的 基于网络视角探索社区失能老人孤独-抑郁-焦虑症状网络特征。方法 采用便利抽样法选取西安市5个社区325例失能老人为研究对象，采用一般资料调查表、UCLA孤独感量表简化版(the short-form of the UCLA loneliness scale，ULS-8)、患者健康问卷抑郁症状量表(patients'health questionnaire depression scale-9 item，PHQ-9)、广泛性焦虑量表(gener-alized anxiety disorder-7 item scale，GAD-7)对其进行调查，运用R 4。1。1软件进行网络模型构建及分析。结果 症状网络显示"做事时提不起劲或没有兴趣"和"感到心情低落、沮丧或绝望"存在最强的正则化偏相关(0。51);"感到心情低落、沮丧或绝望"(1。32)和"我感到孤独"(1。16)预期影响最高;"我感到孤独"(0。21)、"很难集中精神做事"(0。52)和"变得容易烦恼或易被激怒"(0。40)分别是孤独、抑郁和焦虑社团中桥预期影响最高的项目。结论 "感到心情低落、沮丧或绝望"和"我感到孤独"为网络的核心症状，以此作为干预靶点可最大化降低网络的严重程度。"我感到孤独""很难集中精神做事"和"变得容易烦恼或易被激怒"为关键的桥梁症状，可作为预防和治疗孤独、抑郁、焦虑共病的突破口。
Network Analysis of Loneliness-depression-anxiety Comorbidity Among Disabled Elderly in Community
Objective To explore the characteristics of loneliness-depression-anxiety symptom networks of disabled elderly based on a network perspective.Methods By the convenience sampling method,325 disa-bled elderly from 5 communities in Xi'an were selected,and a survey was conducted using the general in-formation questionnaire,the short-form of the UCLA Loneliness Scale(ULS-8),Patients'Health Ques-tionnaire Depression Scale-9 item(PHQ-9)and Generalized Anxiety Disorder-7 item scale(GAD-7).R4.1.1 software was adopted for network model construction and analysis.Results The symptom network showed that the strongest edge exist between"uninterested"and"depressed or sad mood"(0.51)."De-pressed or sad mood"(1.32)and"feeling lonely"(1.16)had the highest EI values."Feeling lonely"(0.21),"concentration difficulties"(0.52)and"irritable"(0.40)had the highest BEI values of their re-spective symptom clusters.Conclusions Targeted interventions for"depressed or sad mood"and"feeling lone-ly"may minimize the severity of the entire symptom network,which are identified as the core symptoms."Feeling lonely","concentration difficulties"and"irritable"are critical bridging symptoms,which serve as a breakthrough point for preventing and treating disabled elderly with loneliness-depression-anxiety comorbidity.
NETL
NSTL
万方数据
维普
