Suppr超能文献

在脆弱性和弹性之间:从抑郁缓解后认知风险和保护因素波动的网络分析。

Between vulnerability and resilience: A network analysis of fluctuations in cognitive risk and protective factors following remission from depression.

机构信息

Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium.

Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium.

出版信息

Behav Res Ther. 2019 May;116:1-9. doi: 10.1016/j.brat.2019.01.007. Epub 2019 Jan 23.

Abstract

Research exploring how cognitive risk- and protective factors relate following remission from internalizing disorders suggests a central role for resilience. However, it remains unclear what constitutes resilience in this context. Furthermore, previous studies have typically relied on cross-sectional data which do not allow to map the temporal dynamics of such relations. Using a seven-day experience sampling period in 85 remitted depressed patients, we examined the interplay between five transdiagnostic vulnerability- and protective factors in daily life. We present a temporal, contemporaneous, and a between-subjects network, providing an in-depth analysis of how these factors relate to daily life fluctuations in residual symptomatology. Furthermore, we test the role of positive affect as a main resilience factor. Resilience uniquely predicted all other factors over time (temporal network). Higher levels of resilience were related to less momentary use of rumination, more deployment of positive appraisal, and lower occurrence of residual symptoms (contemporaneous network). Participants scoring high on resilience mostly engaged in positive appraisal (between-subjects network). Similar structures were obtained when substituting self-reported resilience by positive affect. This highlights the importance of resilience, and in particular, positive affectivity, to cope with stressors following remission. This may be fostered by facilitating the use of positive appraisal.

摘要

研究探索了认知风险和保护因素在从内化障碍中缓解后如何相关,这表明了韧性的核心作用。然而,目前尚不清楚在这种情况下什么构成了韧性。此外,先前的研究通常依赖于横断面数据,这些数据无法映射这种关系的时间动态。在 85 名缓解的抑郁症患者中使用了为期七天的经验抽样期,我们研究了五种跨诊断脆弱性和保护因素在日常生活中的相互作用。我们提出了一个时间、同期和受试者间网络,深入分析了这些因素如何与残留症状的日常生活波动相关。此外,我们测试了积极情绪作为主要恢复力因素的作用。恢复力在时间上(时间网络)独特地预测了所有其他因素。较高的恢复力水平与即时沉思使用减少、积极评价增加和残留症状发生减少有关(同期网络)。在恢复力方面得分较高的参与者主要参与积极评价(受试者间网络)。当用积极情绪替代自我报告的恢复力时,获得了相似的结构。这突出了韧性,特别是积极情绪,在缓解后应对压力的重要性。通过促进积极评价的使用,可能会促进这一点。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验