Rae Jesse, Lavigne Katie M, Sauvé Geneviève, Lepage Martin, Raucher-Chéné Delphine
Douglas Research Centre, Montreal, QC, Canada.
Département de Psychologie, Université de Montréal, Montreal, QC, Canada.
Can J Psychiatry. 2025 Apr;70(4):301-311. doi: 10.1177/07067437251329074. Epub 2025 Mar 21.
ObjectivesPatients with (SSD) present with cognitive, behavioral, and emotional difficulties. Affected individuals often exhibit poor insight into aspects of their illness, such as awareness of the illness itself or the need for treatment, which can hinder treatment adherence and complicate clinical outcomes. This study aimed to investigate the relationships between clinical symptoms and dimensions of insight in SSD using a network approach, which captures direct and indirect relationships among variables. We hypothesized that illness awareness would correlate negatively with positive symptoms and positively with depressive symptoms, and that positive symptoms would have the strongest influence on the network.MethodsData were collected from 142 individuals diagnosed with SSD. Insight was measured using the Birchwood Insight Scale (IS) across three dimensions: illness awareness, symptom re-labelling, and awareness of the need for treatment. Symptoms were evaluated using the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, the Calgary Depression Scale and the Hamilton Anxiety Scale. Network analysis was employed to explore interconnections (edges) between variables (nodes) and identify influential variables through centrality measures (strength, betweenness, closeness).ResultsA significant positive connection was found between illness awareness and depressive symptoms. Anxiety and depressive symptoms were identified as the most central and influential variables within the network. Treatment awareness showed greater centrality than illness awareness, indicating this dimension's potential importance in influencing symptom dynamics in a clinical profile.ConclusionsAnalyzing a more extensive network that includes treatment adherence and cognitive domains affected in SSD could enhance and validate the understanding of the cascading effects of symptoms and insight dimensions, allowing for more tailored treatments.Plain Language Summary TitleInterconnections between levels of awareness and clinical symptoms in schizophrenia and related disorders.
目的
精神分裂症谱系障碍(SSD)患者存在认知、行为和情感方面的困难。受影响的个体往往对自身疾病的某些方面缺乏洞察力,比如对疾病本身或治疗需求的认识,这可能会妨碍治疗依从性并使临床结果复杂化。本研究旨在使用网络分析方法来探究SSD患者临床症状与洞察力维度之间的关系,该方法能够捕捉变量之间的直接和间接关系。我们假设疾病认知与阳性症状呈负相关,与抑郁症状呈正相关,并且阳性症状对该网络的影响最强。
方法
收集了142名被诊断为SSD的个体的数据。使用伯奇伍德洞察力量表(IS)从三个维度测量洞察力:疾病认知、症状重新识别和对治疗需求的认识。使用阳性症状评估量表、阴性症状评估量表、卡尔加里抑郁量表和汉密尔顿焦虑量表评估症状。采用网络分析来探索变量(节点)之间的相互联系(边),并通过中心性度量(强度、中介中心性、紧密中心性)识别有影响力的变量。
结果
发现疾病认知与抑郁症状之间存在显著的正相关。焦虑和抑郁症状被确定为网络中最核心和最有影响力的变量。治疗认知显示出比疾病认知更高的中心性,表明该维度在影响临床症状动态方面的潜在重要性。
结论
分析一个更广泛的网络,包括SSD中受影响的治疗依从性和认知领域,可能会增强并验证对症状和洞察力维度级联效应的理解,从而实现更具针对性的治疗。
通俗易懂的总结标题
精神分裂症及相关障碍中意识水平与临床症状之间的相互联系