Objective. Stroke recovery is a multidimensional process influenced by biological and psychosocial factors. To understand the latter, we mapped the social networks of stroke patients, analyzing their changes and effects on physical function at 3 and 6 months after stroke. Methods. We used a quantitative social network assessment tool to map the structure and health habits embedded in patients’ personal social networks. The physical function outcome was determined using the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Scale (0-100, mean 50 for US general population). We used mixed-effects models to assess changes in social network metrics. We used multivariable models to test the association between social networks and physical function, independent of demographics, socioeconomic status, clinical characteristics, comorbidities, cognition, and depression. Results. The cohort consisted of 172 patients, with mostly mild motor-predominant stroke (median NIH Stroke Scale of 2) with retention of 149 at 3 months and 139 at 6 months. An average patient’s network over 6 months contracted by 1.25 people and became denser and family oriented. Network composition also became healthier with pruning of ties with people who smoked or did not exercise. The baseline network size, and not density or health habits in the network, was independently associated with 3- and 6-month physical function PROMIS scores. Patients embedded in small kin-based networks reported more negative social interactions. Conclusions. Despite social networks becoming smaller and close-knit after stroke, they also become healthier. Larger baseline social networks are independently associated with better patient-reported physical function after stroke.

中文翻译：

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缺血性中风 6 个月内的社交网络映射和功能恢复

客观的。中风康复是一个受生物和社会心理因素影响的多维过程。为了理解后者，我们绘制了中风患者的社交网络，分析了他们在中风后 3 个月和 6 个月的变化和对身体功能的影响。方法。我们使用定量社交网络评估工具来绘制嵌入在患者个人社交网络中的结构和健康习惯。使用美国国立卫生研究院 (NIH) 患者报告结果测量信息系统 (PROMIS) 身体功能量表（0-100，美国一般人群的平均值为 50）确定身体功能结果。我们使用混合效应模型来评估社交网络指标的变化。我们使用多变量模型来测试社交网络与身体功能之间的关联，独立于人口统计数据，社会经济地位、临床特征、合并症、认知和抑郁。结果。该队列由 172 名患者组成，大部分为轻度运动为主的卒中（NIH 卒中量表中位数为 2），3 个月时保留 149 人，6 个月时保留 139 人。一个平均 6 个月的患者网络收缩了 1.25 人，并且变得更加密集和以家庭为导向。随着与吸烟或不锻炼的人的关系的修剪，网络构成也变得更健康。基线网络大小，而不是网络中的密度或健康习惯，与 3 个月和 6 个月的身体机能 PROMIS 评分独立相关。嵌入小型亲属网络的患者报告了更多的负面社交互动。结论。尽管中风后社交网络变得更小、更紧密，但它们也变得更健康。