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精神分裂症患者生活质量的症状贡献因素:探索性因子和网络分析。

Symptom contributors to quality of life in schizophrenia: Exploratory factor and network analyses.

机构信息

School of Social Work, University of Pittsburgh, United States of America; Department of Psychiatry, University of Pittsburgh School of Medicine, United States of America.

School of Social Work, University of Pittsburgh, United States of America; Department of Psychiatry, University of Pittsburgh School of Medicine, United States of America.

出版信息

Schizophr Res. 2024 Feb;264:494-501. doi: 10.1016/j.schres.2024.01.028. Epub 2024 Jan 28.

Abstract

Individuals with schizophrenia and other associated disorders experience significant disturbance to their quality of life (QoL) due to a multitude of co-occurring symptoms. Popular evidence-based practices (EBPs) devote significant effort to reduce positive symptomatology in order to prevent relapse, while emerging research posits that other symptoms (cognitive deficits, negative and affective symptoms) are more indicative of QoL disturbance. This study sought to examine the impact of symptom constructs on QoL and attempt to infer directionality of influence via network analysis. A total of 102 recovery phase adult outpatients with schizophrenia spectrum disorders were assessed on positive, negative, and affective symptomatology, in addition to QoL and cognitive abilities. Exploratory factor analysis and network analysis were performed to identify associations and infer directed influence between symptom constructs, and a directed acyclic graph was constructed to observe associations between symptom domains and QoL. Factor analysis results indicated that individual measures align with their respective symptom constructs. Strong factor correlations were found between QoL and the negative and affective symptom constructs, with weaker associations found between positive symptoms and cognition. Visualization of the network structure illustrated QoL as the central cluster of the network, and examination of the weighted edges found the strongest connectivity between QoL, negative symptomatology, and affective symptoms. More severe negative and affective symptoms were most directly linked with poorer QoL and may prove to be integral in attaining positive outcomes in schizophrenia treatment. Incorporation of psychosocial treatments in addition to pharmacotherapy may prove effective in targeting negative and affective symptoms.

摘要

个体患有精神分裂症和其他相关障碍,由于多种共病症状,其生活质量(QoL)会受到严重影响。流行的循证实践(EBP)投入大量精力来减轻阳性症状,以防止复发,而新兴的研究认为其他症状(认知缺陷、阴性和情感症状)更能表明 QoL 受到干扰。本研究旨在考察症状结构对 QoL 的影响,并通过网络分析尝试推断影响的方向。共有 102 名处于康复阶段的成年精神分裂症谱系障碍门诊患者接受了阳性、阴性和情感症状评估,以及 QoL 和认知能力评估。进行了探索性因素分析和网络分析,以确定症状结构之间的关联,并推断影响的方向。构建了有向无环图以观察症状域和 QoL 之间的关联。因子分析结果表明,个体测量与各自的症状结构一致。在 QoL 与阴性和情感症状结构之间发现了强烈的因子相关性,而在阳性症状与认知之间发现了较弱的相关性。网络结构的可视化表明 QoL 是网络的中心集群,对加权边缘的检查发现 QoL、阴性症状和情感症状之间的连接最强。更严重的阴性和情感症状与较差的 QoL 直接相关,并且可能在精神分裂症治疗中取得积极结果方面具有重要意义。除了药物治疗外,还可以采用心理社会治疗,这可能对治疗阴性和情感症状有效。

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