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Predicting the affective tone of everyday dreams: A prospective study of state and trait variables
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 testin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791936/ https://www.ncbi.nlm.nih.gov/pubmed/31611647 http://dx.doi.org/10.1038/s41598-019-50859-w |
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author | Samson-Daoust, Eugénie Julien, Sarah-Hélène Beaulieu-Prévost, Dominic Zadra, Antonio |
author_facet | Samson-Daoust, Eugénie Julien, Sarah-Hélène Beaulieu-Prévost, Dominic Zadra, Antonio |
author_sort | Samson-Daoust, Eugénie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6791936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67919362019-10-21 Predicting the affective tone of everyday dreams: A prospective study of state and trait variables Samson-Daoust, Eugénie Julien, Sarah-Hélène Beaulieu-Prévost, Dominic Zadra, Antonio Sci Rep Article 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. Nature Publishing Group UK 2019-10-14 /pmc/articles/PMC6791936/ /pubmed/31611647 http://dx.doi.org/10.1038/s41598-019-50859-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Samson-Daoust, Eugénie Julien, Sarah-Hélène Beaulieu-Prévost, Dominic Zadra, Antonio Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title | Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title_full | Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title_fullStr | Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title_full_unstemmed | Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title_short | Predicting the affective tone of everyday dreams: A prospective study of state and trait variables |
title_sort | predicting the affective tone of everyday dreams: a prospective study of state and trait variables |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791936/ https://www.ncbi.nlm.nih.gov/pubmed/31611647 http://dx.doi.org/10.1038/s41598-019-50859-w |
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