Evidence map›Paper›PMID 41924860›Full record

ArticleJournal of sleep research2026

Individual and Situational Predictors of Threatening Dream Content During the COVID-19 Pandemic.

Ville Loukola, Jarno Tuominen, Eveliina Malinen, Katariina Tienhaara, Henri Olkoniemi, Antti Revonsuo, Katja Valli

Abstract read
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Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ville LoukolaDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0001-5297-0541
Jarno TuominenDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0002-3892-3199
Eveliina MalinenDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.
Katariina TienhaaraDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.
Henri OlkoniemiUnit of Psychology, University of Oulu, Oulu, Finland.ORCID 0000-0001-6915-089X
Antti RevonsuoDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0002-2771-1588
Katja ValliDepartment of Psychology and Speech-Language Pathology, and the Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0002-5133-8664

Funding

Signe ja Ane Gyllenbergin Säätiö 6425Suomen Kulttuurirahasto 00240806TOP-Säätiö 20210206Wellcome Trust 081199
6 · The paper itself

Abstract

Previous studies have examined how the COVID-19 pandemic affected dream recall, dream content, and nightmares. However, relatively little attention has been devoted to the individual and situational factors associated with pandemic-induced changes in dreams. The threat simulation theory of dreaming predicts that threatening situations in our waking life (situational factors) influence threatening dream content. At the same time, individual differences predispose some people to be more prone to experiencing threatening dreams more frequently than others. Using a large Finnish sample of prospective dream diaries, we analysed the relative importance of individual (e.g., belonging to a COVID-19 risk group, life satisfaction, depression and anxiety symptoms) and situational factors (e.g., daily COVID-19 worry, COVID-19 media consumption, negative and positive emotions) to determine the best predictors for threatening events and COVID-19-related threatening events in dreams. Random forest analyses revealed that individual factors were consistently better predictors than situational factors for both threatening events and pandemic-related threatening events in dreams. Lower life satisfaction was the only statistically significant predictor of threatening events and experiencing fewer positive emotions in the past 2 weeks was the only statistically significant predictor of pandemic-related threatening events in dreams. These findings suggest that the propensity to experience threatening dream content, including pandemic-related threatening events, is more of a stable trait rather than a daily fluctuating feature of dreams. In light of the threat simulation theory, it could be argued that individual variation in the proneness to simulate threatening events adaptively interacts with daily experiences to modulate threatening dream content.

Indexed as

COVID-19DreamsAdultAnxietyDepressionEmotionsFemaleFinlandHumansIndividualityMalePandemicsPersonal SatisfactionSARS-CoV-2Young Adultconsciousnessdreamingsubjective experiencesthreat simulation theory

Identifiers

PMID41924860
PMCPMC13357791

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.