Department of Nursing, University of Cantabria (Spain), SALBIS Research Group, Nursing Research Group IDIVAL, 39008 Santander, Spain.
Department of Social and Cultural Anthropology, GRAFO, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Int J Environ Res Public Health. 2020 Apr 15;17(8):2706. doi: 10.3390/ijerph17082706.
The worldwide burden of chronic illnesses, constitutes a major public health concern and a serious challenge for health systems. In addition to the strategies of self-management support developed by nursing and health organizations, an individual's personal network represents a major resource of social support in the long-term. Adopting a cross-sectional design based on personal network analysis methods, the main aim of this study is to explore the relationship between satisfaction with the social support received by individuals suffering chronic pain and the structure, composition, and functional content in social support of their personal networks. We collected personal and support network data from 30 people with chronic pain (20 person's contacts (alters) for each individual (ego), 600 relationships in total). Additionally, we examined the level of satisfaction with social support in each of the 600 relationships. Bivariate and multivariate tests were performed to analyze the satisfaction with the social support received. Using cluster analysis, we established a typology of the 600 relationships under study. Results showed that higher satisfaction was associated with a balance between degree centrality and betweenness (i.e., measures of network cohesion and network modularity, respectively). Finally, new lines of research are proposed in order to broaden our understanding of this subject.
慢性病给全球带来的负担，不仅是公共卫生的主要关注点，也是对卫生系统的严峻挑战。除了护理和卫生组织制定的自我管理支持策略之外，个人的人际关系网络也是长期获得社会支持的主要资源。本研究采用基于人际关系网络分析方法的横断面设计，旨在探讨慢性疼痛患者对社会支持的满意度与人际关系网络的结构、组成和功能内容之间的关系。我们从 30 名慢性疼痛患者（每个人有 20 名联系人（他人），共 600 个关系）处收集了个人和支持网络数据。此外，我们还对 600 个关系中的每个关系的社会支持满意度进行了评估。我们采用了双变量和多变量检验来分析所收到的社会支持的满意度。使用聚类分析，我们对研究中的 600 个关系建立了一种分类法。结果表明，更高的满意度与度数中心度和中介中心度之间的平衡有关（即网络凝聚度和网络模块化的度量）。最后，提出了新的研究方向，以便更深入地了解这一主题。
