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The Relationship Between Dreams and Subsequent Morning Mood Using Self-Reports and Text Analysis

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Abstract

While material from waking life is often represented in dreams, it is less clear whether and how dreams impact waking life. Here, we assessed whether dream mood and content from home diaries predict subsequent waking mood using both subjective self-reports and an objective automated word detection approach. Subjective ratings of dream and morning mood were highly correlated within participants for both negative and positive valence, suggesting that dream mood persists into waking. Text analyses revealed similar relationships between affect words in dreams and morning mood. Moreover, dreams referencing death or the body were related to worse morning mood, as was first-person singular pronoun usage (e.g., “I”). Dreams referencing leisure or ingestion, or including first-person plural pronouns (e.g., “we”), were related to better morning mood. Together, these results suggest that subjective experiences during sleep, while often overlooked, may be an important contributor to waking mood.

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Acknowledgements

The authors would like to thank Ashwini Ashokkumar and the rest of the Pennebaker Language Lab for helpful discussion.

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Correspondence to Michelle Carr.

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Funding

This work was funded by the Mind & Life Europe Francisco J. Varela Award (MC) and the National Institute of General Medical Sciences grant: K12 GM106997 (MC).

Conflict of Interest

The authors declare no competing interests.

Data Availability

Data and materials are available in an OSF repository: https://osf.io/2xy5p/

Code Availability

Analysis code is available in an OSF repository: https://osf.io/2xy5p/.

Ethical Approval

Ethical approval was granted by the Swansea University Department of Psychology Research Ethics Committee.

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Informed consent was obtained from all participants included in the study.

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Handling Editor: Aric Prather

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Supplementary file1 (DOCX 27 KB)

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Mallett, R., Picard-Deland, C., Pigeon, W. et al. The Relationship Between Dreams and Subsequent Morning Mood Using Self-Reports and Text Analysis. Affec Sci 3, 400–405 (2022). https://doi.org/10.1007/s42761-021-00080-8

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  • DOI: https://doi.org/10.1007/s42761-021-00080-8

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