Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown.
Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown.
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大流行梦：Covid-19锁定期间梦想内容的网络分析。
DOI：
10.3389/fpsyg.2020.573961
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发表时间：
2020
影响因子：
3.8
通讯作者：
Kuula L
中科院分区：
文献类型：
--
作者：
Pesonen AK;Lipsanen J;Halonen R;Elovainio M;Sandman N;Mäkelä JM;Antila M;Béchard D;Ollila HM;Kuula L
我们使用众包（CS）来研究COVID-19封锁如何影响梦想和噩梦的内容。CS发生在封锁的第六周。在一周的时间里，4,275名受访者（平均年龄43岁，SD = 14岁）评估了他们的睡眠，811人报告了他们的梦境内容。总体而言，受访者的睡眠时间显著增加（54.2%），但与大流行前相比，觉醒（28.6%）和噩梦（26%）的平均增加。我们将梦的内容转录成单词列表，并对单词关联进行了无监督计算网络和聚类分析，这表明有33个梦簇，包括20个坏梦簇，其中55%是流行病特有的（例如，疾病管理，无视距离，老年人陷入困境）。对于那些报告压力增加的人来说，梦的关联网络更加突出。CS关于梦境关联网络和流行病压力的调查介绍了新颖的、集体分享的COVID-19噩梦内容。
We used crowdsourcing (CS) to examine how COVID-19 lockdown affects the content of dreams and nightmares. The CS took place on the sixth week of the lockdown. Over the course of 1 week, 4,275 respondents (mean age 43, SD = 14 years) assessed their sleep, and 811 reported their dream content. Overall, respondents slept substantially more (54.2%) but reported an average increase of awakenings (28.6%) and nightmares (26%) from the pre-pandemic situation. We transcribed the content of the dreams into word lists and performed unsupervised computational network and cluster analysis of word associations, which suggested 33 dream clusters including 20 bad dream clusters, of which 55% were pandemic-specific (e.g., Disease Management, Disregard of Distancing, Elderly in Trouble). The dream-association networks were more accentuated for those who reported an increase in perceived stress. This CS survey on dream-association networks and pandemic stress introduces novel, collectively shared COVID-19 bad dream contents.
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