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A Paradigm for Matching Waking Events Into Dream Reports.

Jiaxi Wang, JingYu He, Ting Bin, HuiYing Ma, Jing Wan, XinQuan Li, Xiaoling Feng, Heyong Shen

Frontiers in Psychology July 3, 2020 DOI: 10.3389/fpsyg.2020.01430 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study Peer reviewed
Population Participants who recorded waking events and dreams for 7 days
Duration 7 days
Topics Dreaming
Keywords Behavior Incorporation Emotions Metaphor Attribution Actions
Key findings Self-rated similarity between waking events and same-day dreams correlated with independent judges' external ratings based on shared behaviors. For personal significant events, characters, actions, emotions, and themes influenced match ratings; for major concerns, characters, locations, emotions, and themes did. The authors propose the external-rating method may be suitable for future studies, including exploration of dream metaphors.

Abstract

In this study, participants recorded their waking events (Personal significant events, PSEs/Major concerns, MCs) and dream reports for 7 days. These events and dreams were paired by the same day (216 PSEs-dreams pairs and 215 MCs-dreams pairs). Then participants were instructed to both find similar features (characters, objects, locations, actions, emotions, and themes) of their events-dreams pairs and give a match score of their events-dreams pairs. Besides, we proposed a method for independent judges to match waking events into dreams (the external ratings). The rating standard of the external-ratings was to look for similar behaviors between events and dreams. Based on this rating standard, three independent judges were instructed to rate participants' events-dreams pairs. Firstly, we compared the two kinds of methods of self-ratings. Spearman correlations showed that the two methods were significantly correlated with each other. These results suggested that the sum of different kinds of similar features could be used to represent self-ratings reported of the degree of the correlation between a waking event and a dream. Regression correlations showed that for PSEs-dreams pairs, characters, actions, emotions, and themes were similar features that affected the degree of the correlation between an event and a dream of the same day, and for MCs-dreams pairs, characters, locations, emotions, and themes were similar features that affected the degree of the correlation between an event and a dream of the same day. These results suggested that different kinds of similar features had different influence on the self-ratings' evaluation for the degree of matching between waking event and dream. Secondly, we compared the rating results of the self-ratings and the rating results of the external-ratings. Spearman correlations showed that the results of the self-ratings were significantly correlated with the results of the external-ratings. So this study's method for the external ratings may be suitable for future studies. Besides, as the external ratings of this study can rate dream metaphors, we also made a short discussion on dream metaphors. Future studies can use the method to explore dream metaphors.

Comparable studies

Other observational and cohort studies on dreaming, most cited first.

Study Year Design Participants
Lucid Dreaming: a State of Consciousness with Features of Both Waking and Non-Lucid Dreaming Student volunteers trained to become lucid and signal lucidity with horizontal eye... 2009 Observational study n = 6
Nightmare Prevalence, Nightmare Distress, and Self-Reported Psychological Disturbance Young adults with a mean age of 20 years 2002 Prospective observational study n = 116
Long-term effects of extreme situational stress on sleep and dreaming Survivors of traumatic events who complained of sleep disturbances, compared with... 1987 Case-control study n = 11
The relationship of nightmare frequency and nightmare distress to well‐being Adults who reported dreams 2004 Observational cohort n = 147
Dreaming in NREM Sleep: A High-Density EEG Study of Slow Waves and Spindles Healthy human subjects 2018 Observational cohort n = 14

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