Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown

Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown

Blog Article

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 LIP SHINE BLUSH (26%) from the pre-pandemic situation.We transcribed the content of the dreams into word lists Saddle Riggings » Backriggings 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.