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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations1
Published2017
Admission routes2
Has abstractyes

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