Prust Morgan, Halm Abby, Nedelcu Simona, Nieves Amber, Dhand Amar
Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
Division of Neurocritical Care, Department of Neurology, Columbia University Medical Center, New York, NY, USA.
Neurohospitalist. 2021 Jan;11(1):18-24. doi: 10.1177/1941874420945889. Epub 2020 Aug 13.
Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale-Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member.
In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET's network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size.
We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5.
Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.
社交网络通过直接的生物学机制和间接的心理社会机制影响人类健康与疾病。由于社交网络中存在的支持、信息传播以及健康行为养成，它们在神经系统疾病中具有特殊的重要性。既往将社交网络作为疾病风险和健康结局决定因素的研究一直依赖于社交支持的汇总指标，如修订版鲁本社交网络量表（LSNS-R）或卒中社交网络量表（SSNS）。我们将这两种调查工具与个人网络（PERSNET）映射工具进行了比较，PERSNET是一种新型社交网络调查工具，有助于详细绘制社交网络结构、提取定量网络结构参数以及描述每个网络成员的人口统计学和健康参数。
在一组住院和门诊卒中幸存者中，我们以随机顺序对每位患者进行LSNS-R、SSNS和PERSNET调查。我们使用逻辑回归生成LSNS-R得分、SSNS得分与PERSNET网络结构（如规模和密度）及组成指标（如网络中亲属百分比）之间的相关矩阵。我们还研究了LSNS-R得出的社交隔离风险与PERSNET得出的网络规模之间的关系。
我们分析了67名参与者的调查回复，发现LSNS-R、SSNS与PERSNET得出的网络结构指标之间存在显著相关性。我们发现LSNS-R、SSNS与PERSNET得出的网络组成指标之间没有相关性。个人网络映射工具的结构和组成变量也存在内部相关性。由LSNS-R定义的社交隔离对应于网络规模小于5。
个人网络映射工具是社交网络结构的有效指标，与感知社交支持的验证指标具有显著相关性。个人网络映射工具还获取了一系列此前网络调查未充分描述的新型健康行为数据。因此，PERSNET提供了一种全面的社交网络评估，具有可视化功能，能够以有效且独特的方式量化社交环境。
