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Record W3159240097 · doi:10.1093/sleep/zsab072.208

209 Nightmare Content During the COVID-19 Pandemic: Influence of COVID-Related Stress and Sleep Disruption

2021· article· en· W3159240097 on OpenAlexaff
Kathryn Kennedy, Célyne Bastien, Perrine Ruby, William D. S. Killgore, Chloe Wills, Michael A. Grandner

Bibliographic record

VenueSLEEP · 2021
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNightmareLearned helplessnessInsomniaAnxietyPandemicCoronavirus disease 2019 (COVID-19)PsychiatryMedicinePsychologyDemographyClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Nightmares are often associated with psychiatric disorders, though acute stress can also induce them. This study explores how the COVID-19 pandemic may have influenced the frequency and content of nightmares. Methods A sample of N=419 US adults completed online surveys about sleep and COVID-19 experiences. Participants were asked the degree to which they agree with statements including that due to the COVID-19 pandemic, they have greater general stress, worse overall sleep, and more middle-of-the-night insomnia. They were also asked if they experienced nightmares during the pandemic on a range of topics, including confinement, claustrophobia, suffocation, oppression, drowning, failure, helplessness, natural disasters, anxiety, evil forces, war, domestic abuse, separation from loved ones, totalitarian regimes, being chased, dangerous animals, sickness, death, COVID-19, and apocalypse. Logistic regression analyses examined each nightmare content as outcome and increased stress, worse sleep, and more middle-of-the-night insomnia as predictors, adjusted for age, sex, and race/ethnicity. Results Those who reported greater general COVID-related stress were more likely to have nightmares about confinement (OR=1.66,p<0.03), failure (OR=1.64,p<0.005), helplessness (OR=2.89, 0<0.0005), anxiety (OR=2.37,p<0.0005), war (OR=3.42,p<0.0005), separation (OR=2.23,p<0.0005), totalitarianism (OR=3.78,p<0.003), sickness (OR=1.92,p<0.003), death (OR=1.66,p<0.01), COVID (OR=1.96,p<0.01), and apocalypse (OR=2.92,p<0.0005). Those who reported worsened sleep were more likely to have nightmares about confinement (OR=1.80,p<0.003), oppression (OR=2.99,p<0.0005), failure (OR=2.12,p<0.0005), helplessness (OR=1.67, 0<0.0005), disaster (OR=1.86,p<0.005), anxiety (OR=1.97,p<0.0005), evil forces (OR=1.56,p<0.02), war (OR=2.08,p<0.002), domestic abuse (OR=2.22,p<0.009), separation (OR=2.01,p<0.0005), totalitarianism (OR=3.39,p<0.0005), sickness (OR=1.74,p=0.003), death (OR=2.03,p<0.0005), COVID (OR=2.15,p<0.001), and apocalypse (OR=1.86,p<0.006). Those who reported worsened middle-of-the-night insomnia were more likely to have nightmares about confinement (OR=1.60,p<0.01), oppression (OR=1.97,p<0.002), failure (OR=2.00,p<0.0005), helplessness (OR=1.60,p<0.001), disaster (OR=1.52,p<0.04), anxiety (OR=2.27,p<0.0005), war (OR=2.10,p<0.001), domestic abuse (OR=1.74,p<0.04), separation (OR=1.86,p<0.0005), totalitarianism (OR=1.87,p<0.03), sickness (OR=1.80,p<0.001), death (OR=2.00,p<0.0005), COVID (OR=1.68,p<0.009), and apocalypse (OR=1.65,p<0.01). Conclusion The results suggest that increased stress may induce negatively-toned dreams related to that stress. Future studies will have to determine whether (and when) this symptom indicates an emotional regulation mechanism at play or the failure of such a mechanism. Support (if any):

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.306
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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