Predicting the affective tone of everyday dreams: A prospective study of state and trait variables.
Eugénie Samson-Daoust, Sarah-Hélène Julien, Dominic Beaulieu-Prévost, Antonio Zadra
Scientific Reports October 14, 2019 DOI: 10.1038/s41598-019-50859-w (opens in new tab) via PubMed
Summary
AI-generated from the abstractEmotions are common in dreams, but what causes them to vary from night to night and person to person is not well understood. This study tracked adults from the general population, measuring their personality and trauma history, then having them keep a three-week daily journal of dream recall, the emotional tone of their dreams, and their stress levels during the day and before sleep. Most of the differences in dream emotional valence were explained by within-person factors (night-to-night variations). Trait anxiety was the only factor that predicted dream emotions between people. The findings highlight the need for more precise measures and suggest that state variables, rather than stable traits, may best explain why dream emotions fluctuate.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Population | Adults from the general population |
| Duration | Three-week daily journal |
| Key finding | Within-subject effects accounted for most of the variance in dream affect valence, and trait anxiety was the only between-subjects predictor. |
Abstract
Although emotions are reported in a large majority of dreams, little is known about the factors that account for night-to-night and person-to-person variations in people's experience of dream affect. We investigated the relationship between waking trait and state variables and dream affect by testing multilevel models intended to predict the affective valence of people's everyday dreams. Participants from the general population completed measures of personality and trauma history followed by a three-week daily journal in which they noted dream recall, valence of dreamed emotions and level of perceived stress for the day as well as prior to sleep onset. Within-subject effects accounted for most of the explained variance in the reported valence of dream affect. Trait anxiety was the only variable that significantly predicted dream emotional valence at the between-subjects level. In addition to highlighting the need for more fine-grained measures in this area of research, our results point to methodological limitations and biases associated with retrospective estimates of general dream affect and bring into focus state variables that may best explain observed within-subject variance in emotions experienced in everyday dreams.