Emotional Distress Symptoms, Coping Efficacy, and Social Support: A Network Analysis of Distress and Resources in Persons With Cancer.

IF 3.6 2区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Annals of Behavioral Medicine Pub Date : 2024-10-16 DOI:10.1093/abm/kaae025
Andrea Chirico, Tommaso Palombi, Fabio Alivernini, Fabio Lucidi, Thomas V Merluzzi
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Abstract

Background: The study's main aim was to analyze the structure and configuration of distress symptoms and resource factors.

Purpose: Common methods of assessing distress symptoms in cancer patients (i) do not capture the configuration of individual distress symptoms and (ii) do not take into account resource factors (e.g., social support, coping, caring health professionals). Network analysis focuses on the configuration and relationships among symptoms that can result in tailored interventions for distress. Network analysis was used to derive a symptom-level view of distress and resource factors.

Methods: Nine hundred and ninety-two cancer patients (mixed diagnoses) completed an abridged Distress Screening Schedule that included 24 items describing symptoms related to distress (depression, anxiety) and resource factors (social support, coping, caring health professionals).

Results: In network analysis, the centrality strength index (CSI) is the degree to which an item is connected to all other items, thus constituting an important focal point in the network. A depression symptom had the highest CSI value: felt lonely/isolated (CSI = 1.30). In addition, resource factors related to coping efficacy (CSI = 1.20), actively seeking support (CSI = 1.10), perceiving one's doctor as caring (CSI = 1.10), and receiving social support (CSI = 1.10) also all had very high CSI scores.

Conclusions and implications: These results emphasize the integral importance of the social symptoms of loneliness/isolation in distress. Thus, distress symptoms (loneliness) and resource factors (coping efficacy, seeking social support, and perceiving medical professionals as caring) should be integral aspects of distress management and incorporated into assessment tools and interventions to reduce distress.

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癌症患者的情绪困扰症状、应对效能和社会支持:癌症患者的压力和资源网络分析》(A Network Analysis of Distress and Resources in Persons with Cancer)。
研究背景目的:评估癌症患者痛苦症状的常见方法(i)不能捕捉到个体痛苦症状的结构,(ii)没有考虑到资源因素(如社会支持、应对措施、医护人员的关怀)。网络分析主要关注症状之间的配置和关系,从而可以对痛苦进行有针对性的干预。网络分析用于从症状层面了解困扰和资源因素:九百九十二名癌症患者(混合诊断)完成了一份简略的 "痛苦筛查表",其中包括 24 个描述与痛苦(抑郁、焦虑)和资源因素(社会支持、应对、医护人员关怀)相关症状的项目:在网络分析中,中心性强度指数(CSI)是指一个项目与所有其他项目的连接程度,从而构成网络中的一个重要焦点。一种抑郁症状的 CSI 值最高:感到孤独/孤立(CSI = 1.30)。此外,与应对效能(CSI = 1.20)、积极寻求支持(CSI = 1.10)、认为医生关心自己(CSI = 1.10)和接受社会支持(CSI = 1.10)相关的资源因素也都有很高的 CSI 值:这些结果强调了孤独/孤立等社会症状在痛苦中不可或缺的重要性。因此,苦恼症状(孤独感)和资源因素(应对能力、寻求社会支持和认为医务人员关心自己)应成为苦恼管理的组成部分,并纳入评估工具和干预措施,以减少苦恼。
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来源期刊
Annals of Behavioral Medicine
Annals of Behavioral Medicine PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
7.00
自引率
5.30%
发文量
65
期刊介绍: Annals of Behavioral Medicine aims to foster the exchange of knowledge derived from the disciplines involved in the field of behavioral medicine, and the integration of biological, psychosocial, and behavioral factors and principles as they relate to such areas as health promotion, disease prevention, risk factor modification, disease progression, adjustment and adaptation to physical disorders, and rehabilitation. To achieve these goals, much of the journal is devoted to the publication of original empirical articles including reports of randomized controlled trials, observational studies, or other basic and clinical investigations. Integrative reviews of the evidence for the application of behavioral interventions in health care will also be provided. .
期刊最新文献
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