Depression over Time in Persons with Stroke: A Network Analysis Approach.
Depression over Time in Persons with Stroke: A Network Analysis Approach.
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DOI：
10.1016/j.jadr.2021.100131
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发表时间：
2021
影响因子：
--
通讯作者：
Cherney LR
中科院分区：
文献类型：
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作者：
Ashaie SA;Hung J;Funkhouser CJ;Shankman SA;Cherney LR
网络分析已被用来阐明抑郁症状之间的关系，但这种方法通常并未用于中风患者。本研究使用 2005-2006 年服务不足人群中风康复数据集中的 835 名中风患者作为样本，利用网络分析来 (1) 检查抑郁症状之间的关系随时间的变化，以及 (2) 测试基线网络特征是否对抑郁症持续存在具有预后意义。对住院康复出院时以及出院后 3 个月和 12 个月收集的抑郁症状进行网络分析。出院时的抑郁症状网络与出院后随访时的联系较少。出院后最可预测的症状是注意力不集中和感觉良好，尽管它们与其他抑郁症状的相关性较小。在基线抑郁症严重程度较高的参与者中，12 个月后抑郁症持续存在的参与者在出院时比 12 个月后康复的参与者拥有更强的连接网络。这项研究无法确定边缘的方向性。抑郁量表在不同时间点的管理方式不同。这些结果表明，与非中风人群类似，基线网络连接可以预测中风后抑郁症的病程。更广泛地说，该研究强调了检查个体抑郁症状之间关系的重要性，而不仅仅是总分。
Network analysis has been used to elucidate the relationships among depressive symptoms, but this approach has not been typically used in persons with stroke. Using a sample of 835 persons with stroke from Stroke Recovery in Underserved Populations 2005–2006 dataset, this study used network analysis to (1) examine changes in relationships between depressive symptoms over time, and (2) test whether baseline network characteristics were prognostic for depression persistence. Network analysis was performed on depressive symptoms collected at discharge from inpatient rehabilitation and at 3-months and 12-months post-discharge. The depressive symptom network at discharge was less connected than at both post-discharge follow-ups. Trouble focusing and feeling good as others were the most predictable symptoms at post-discharge, even though they were less connected to other depressive symptoms. Among participants with elevated baseline depression severity, those whose depression persisted 12 months later had more strongly connected networks at discharge than those who recovered 12 months later. This study was unable to determine the directionality of edges. The depression scale was administered differently across time points. These results suggest that baseline network connectivity can predict the course of post-stroke depression, similar to non-stroke populations. More broadly, the study highlights the importance of examining relationships between individual depressive symptoms rather than only sum-scores.