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Record W2016155685 · doi:10.1097/nmd.0b013e3181961d8e

Impact of Sleep Disturbances on PTSD Symptoms and Perceived Health

2009· article· en· W2016155685 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2009
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité de MontréalHôpital Louis-H LafontaineUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychiatryConfoundingMental healthClinical psychologyPsychological interventionSleep (system call)MedicineSleep disorderPsychologyInsomniaInternal medicine

Abstract

fetched live from OpenAlex

More than two-thirds of individuals with PTSD report significant sleep difficulties that correlate positively with PTSD symptom severity. The aim of the study was to assess the impact of sleep disturbances on PTSD symptom severity and perceived health. Ninety-two volunteer treatment-seeking adults with PTSD were administered a Structured Clinical Interview for DSM-IV (SCID; First, Spitzer, Gibbon and William, 1996), and a series of questionnaires assessing PTSD symptom severity, perceived health, sleep, and alcohol use. Results from regression analyses revealed that sleep quality has an impact on PTSD symptom severity and perceived mental health, even when the effect of other potential confounding variables (sociodemographic data, trauma-related characteristics, psychiatric comorbidities, alcohol, and psychotropic medication use) is controlled for. The present study highlights the important influence sleep has on the severity of PTSD symptoms. Future studies could explore whether the addition of interventions focusing on sleep help optimize PTSD treatment.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.208

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)0.0000.000

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 head0.010
GPT teacher head0.314
Teacher spread0.304 · 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