PDF(Pubmed)
Abstract：
UNASSIGNED: To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia.
UNASSIGNED: A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases.
UNASSIGNED: Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients.
UNASSIGNED: The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
UNASSIGNED: A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases.
UNASSIGNED: Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients.
UNASSIGNED: The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
摘要：
■为了评估精神病理学症状和现实生活功能之间的相互作用，并进一步检测其对精神分裂症患者暴力行为的影响。
■从广东省社区精神卫生服务的疾病登记报告系统中，对1,664名患者进行暴力后评估，并与他们的倾向得分相匹配的对照，中国,通过网络分析进行了研究。伊辛模型用于估计精神病理学症状和现实生活功能的网络。然后，我们测试了网络属性是否表明案例和对照之间的交互模式不同，并计算每个节点的中心性指数以识别中心节点。进行了敏感性分析，以检查暴力案件中暴力前和暴力后评估之间的相互作用模式的差异。
■同一域中的一些节点是高度正相关的，而精神病理学症状与所有网络中的现实生活功能呈负相关。暴力事件发生后，许多症状-症状联系和症状-功能联系断开。网络密度从23.53%下降到12.42%,无统计学意义(p=0.338)。网络结构,全球网络实力，总体聚类系数在暴力后显著下降(p<0.001,p=0.019,p=0.045)。现实生活中的功能具有更高的节点强度。睡觉的力量，缺乏自发性和交流，在暴力后的患者网络中，注意力减少。
■连通性下降可能表明暴力风险增加，并对发现暴力进行预警。基于高强度节点的干预和改善健康状况可能会防止精神分裂症患者的暴力行为。
■从广东省社区精神卫生服务的疾病登记报告系统中，对1,664名患者进行暴力后评估，并与他们的倾向得分相匹配的对照，中国,通过网络分析进行了研究。伊辛模型用于估计精神病理学症状和现实生活功能的网络。然后，我们测试了网络属性是否表明案例和对照之间的交互模式不同，并计算每个节点的中心性指数以识别中心节点。进行了敏感性分析，以检查暴力案件中暴力前和暴力后评估之间的相互作用模式的差异。
■同一域中的一些节点是高度正相关的，而精神病理学症状与所有网络中的现实生活功能呈负相关。暴力事件发生后，许多症状-症状联系和症状-功能联系断开。网络密度从23.53%下降到12.42%,无统计学意义(p=0.338)。网络结构,全球网络实力，总体聚类系数在暴力后显著下降(p<0.001,p=0.019,p=0.045)。现实生活中的功能具有更高的节点强度。睡觉的力量，缺乏自发性和交流，在暴力后的患者网络中，注意力减少。
■连通性下降可能表明暴力风险增加，并对发现暴力进行预警。基于高强度节点的干预和改善健康状况可能会防止精神分裂症患者的暴力行为。
