Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
School of Nursing, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
PeerJ. 2023 Nov 6;11:e16356. doi: 10.7717/peerj.16356. eCollection 2023.
Rheumatoid arthritis (RA) patients are susceptible to comorbid anxiety and depression. From the network model perspective, comorbidity is due to direct interactions between depression and anxiety symptoms. The objective of this study was to assess the network structure of depression and anxiety symptoms in Chinese RA patients and identify the central and bridge symptoms as well as how depression and anxiety symptoms are related to quality of life (QoL) in the network.
A total of 402 Chinese RA patients were included in this study. Depression and anxiety symptoms were measured by the Hospital Anxiety and Depression Scale (HADS). R software was used to estimate the network. Specifically, we computed the predictability, expected influence (EI) and bridge expected influence (BEI) for each symptom and showed a flow network of "QoL".
Our network revealed that the strongest edge was D2 "See the bad side of things" and D3 "Not feeling cheerful" across the whole network. For centrality indices, D3 "Not feeling cheerful" and D6 "Feeling down" had the highest EI values in the network, while A4 "Trouble relaxing" and D6 "Feeling down" had the highest BEI values of their respective community. As to "QoL", the strongest direct edge related to it was A1 "Nervousness".
"Feeling down" and "Not feeling cheerful" emerged as the strongest central symptoms, while "Trouble relaxing" and "Feeling down" were bridge symptoms in the anxiety-depression network of RA patients. Intervention on depression and anxiety symptoms in nurses should prioritize these symptoms.
类风湿关节炎(RA)患者易并发焦虑和抑郁。从网络模型的角度来看,共病是由于抑郁和焦虑症状之间的直接相互作用。本研究旨在评估中国 RA 患者抑郁和焦虑症状的网络结构,并确定核心和桥梁症状,以及抑郁和焦虑症状如何在网络中与生活质量(QoL)相关。
本研究共纳入 402 名中国 RA 患者。采用医院焦虑抑郁量表(HADS)评估抑郁和焦虑症状。使用 R 软件估计网络。具体来说,我们计算了每个症状的可预测性、预期影响(EI)和桥梁预期影响(BEI),并展示了“QoL”的流量网络。
我们的网络显示,整个网络中最强的边缘是 D2“看到事情的消极面”和 D3“不开心”。对于中心性指数,D3“不开心”和 D6“沮丧”在网络中具有最高的 EI 值,而 A4“放松困难”和 D6“沮丧”在各自的社区中具有最高的 BEI 值。至于“QoL”,与它最直接的相关是 A1“紧张”。
“沮丧”和“不开心”是 RA 患者焦虑抑郁网络中的最强核心症状,而“放松困难”和“沮丧”是桥梁症状。护士干预抑郁和焦虑症状应优先考虑这些症状。