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新冠疫情隔离期间的情绪网络分析——一项纵向研究

Emotion Network Analysis During COVID-19 Quarantine - A Longitudinal Study.

作者信息

Martín-Brufau Ramón, Suso-Ribera Carlos, Corbalán Javier

机构信息

Department of Acute Psychiatry Service, Román Alberca's Hospital, Servicio Murciano de Salud, Murcia, Spain.

Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Murcia, Murcia, Spain.

出版信息

Front Psychol. 2020 Nov 10;11:559572. doi: 10.3389/fpsyg.2020.559572. eCollection 2020.

DOI:10.3389/fpsyg.2020.559572
PMID:33240149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7683502/
Abstract

: The coronavirus disease 2019 (COVID-19) emergency has imposed important challenges in the lives of individuals, particularly since the restriction of free movement. In Spain, this mandatory home confinement started on March 14, 2020. In this scenario, some calls have been made to better understand the exact impact of the quarantine on the emotional status of individuals across time. : On the first day that the Spanish government imposed the quarantine, our team launched an online longitudinal study to monitor emotional responses to the COVID-19 emergency over time. For 2 weeks, 187 people have responded to a daily diary on emotion functioning. An emotion network analysis was performed to study the network structure of 30 mood states and its changes during the first 2 weeks of the quarantine. : The emotional network showed critical changes in the interactions of emotions over time. An analysis of mean emotional levels did not show statistically significant changes in mood over time. Interestingly, two different network patterns were found when the sample was divided between those with favorable responses and those with unfavorable responses. : This new approach to the study of longitudinal changes of the mood state network of the population reveals different adaptation strategies reflected on the sample's emotional network. This network approach can help identify most fragile individuals (more vulnerable to external stressors) before they develop clear and identifiable psychopathology and also help identify anti-fragile individuals (those who improve their functioning in the face of external stressors). This is one of the first studies to apply an emotional network approach to study the psychological effects of pandemics and might offer some clues to psychologists and health administrators to help people cope with and adjust to this critical situation.

摘要

2019年冠状病毒病(COVID-19)疫情给个人生活带来了重大挑战,尤其是自自由行动受限以来。在西班牙,这种强制居家隔离于2020年3月14日开始。在这种情况下,有人呼吁更好地了解隔离措施随时间推移对个人情绪状态的确切影响。

在西班牙政府实施隔离的第一天,我们的团队开展了一项在线纵向研究,以监测人们对COVID-19疫情随时间的情绪反应。在两周时间里,187人每天填写一份关于情绪功能的日记。我们进行了情绪网络分析,以研究30种情绪状态的网络结构及其在隔离的前两周内的变化。

情绪网络显示,情绪之间的相互作用随时间发生了关键变化。对平均情绪水平的分析未显示情绪随时间有统计学上的显著变化。有趣的是,当将样本分为反应良好者和反应不佳者时,发现了两种不同的网络模式。

这种研究人群情绪状态网络纵向变化的新方法揭示了样本情绪网络中反映出的不同适应策略。这种网络方法可以帮助在个体出现明确的可识别精神病理学之前识别出最脆弱的个体(更容易受到外部压力源影响的个体),也有助于识别抗脆弱个体(那些在面对外部压力源时功能得到改善的个体)。这是首批应用情绪网络方法研究大流行病心理影响的研究之一,可能会为心理学家和卫生管理人员提供一些线索,以帮助人们应对和适应这一关键情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/fab704706ec7/fpsyg-11-559572-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/fb98f16c1410/fpsyg-11-559572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/526c240b27f6/fpsyg-11-559572-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/fab704706ec7/fpsyg-11-559572-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/fb98f16c1410/fpsyg-11-559572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/526c240b27f6/fpsyg-11-559572-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c21/7683502/fab704706ec7/fpsyg-11-559572-g003.jpg

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