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Record W2608982458 · doi:10.1093/sleepj/zsx050.729

0730 EFFECT OF EVERYDAY ANXIETY AND PSYCHOLOGICAL WELL-BEING ON THE RECALL OF DISTURBED DREAMING

2017· article· en· W2608982458 on OpenAlexaffabout
Cristina Banu, Pierre McDuff, Antonio Zadra

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNightmarePsychologyDreamAnxietyPsychopathologyDistressDepression (economics)Clinical psychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

The present study tested a prediction from Levin and Nielsen’s (2007) neurocognitive model of disturbed dreaming stipulating that variations in the frequency of bad dreams and nightmares are partly determined by day-to-day variations in emotional stress. The model also suggests that relations between dreams and stress may vary as a function of personality traits. 224 adults (186F, 38M, mean age=31.8 yrs; range = 17–74) completed several measures of psychological well-being, including of depression (Beck Depression Inventory-II), general psychopathology (Symptom Checklist-90-R), and nightmare distress (Nightmare Distress Questionnaire). Participants subsequently kept a daily dream log from one to four weeks in which they were required to report all dreams recalled, including their emotional tone and intensity, and noted whether the recalled dream was a bad dream or nightmare (ie, disturbed dreaming). Participants also completed a nightly pre-sleep anxiety scale. A large majority of participants (83.0%) completed the log for 4 consecutive weeks. Almost half the mornings (45.3%) where accompanied by dream recall and most participants (75.9%) reported at least one disturbing dream in their logs. General equation estimation analyses using a negative binomial distribution were performed with levels of pre-sleep anxiety, depression, general psychopathology, nightmare distress, age and gender as predictors of disturbed dreaming. The model revealed that higher pre-sleep levels of anxiety predicted a greater probability of recalling a disturbing dream the following morning (B=0.08, t=2.03 p=0.042). Age (B=0.46, t=13.34, p<0.001), nightmare distress (B=0.22, t=5.07, p<0.001) and general psychopathology (B=0.11, t=2.25, p=0.024) also contributed positively to this model, whereas depression and gender did not (ps>0.05). In line with neurocognitive model put forth by Levin and Nielsen (2007), these results show that everyday levels of perceived stress predict recall of disturbed dreaming beyond the effects attributable to nightmare-related distress, general psychopathology and age. Additional work, however, is required to delineate the role of trait versus state variables play in the frequency and intensity of disturbed dreaming. Research is supported by the Social Sciences and Humanities Research Council of Canada.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.335
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2017
Admission routes2
Has abstractyes

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