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Record W1554802831 · doi:10.5005/ijsm-2-3-95

Risk factors for sleep disturbance and its effect on quality of life: <i>An Analysis of Retrospective Cohort Study of adults with neck injuries</i>

2007· article· en· W1554802831 on OpenAlexaffabout
Ahmed Hossain, Hafiz T. A. Khan

Bibliographic record

VenueIndian Journal of Sleep Medicine · 2007
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRetrospective cohort studyCohortSleep qualitySleep disorderDisturbance (geology)Quality of life (healthcare)Sleep (system call)InsomniaGerontologySurgeryInternal medicinePsychiatryNursing

Abstract

fetched live from OpenAlex

Introduction: Persons with neck injuries often have lasting psychosocial effects. One symptom that occurs in a significant number of persons is problems with sleep. Until recently, it was unclear about the predictors of sleep disturbances after a neck injury that does not tend to resolve within six months post injury. In addition, very little is known about how sleep affects overall self reported quality of life, controlling for other relevant predictors. The study aims to examine predictors of sleep disturbances after a neck injury that does not tend to resolve within six months of post injury and how sleep disturbance affects overall quality of life to those having six months post injuries. Methods: Data from a retrospective cohort study of adults have been used to investigate the study. The study population were 258 adults aged (at least 14 years) suffering from moderate to severe neck injury at an acute care Hospital in Toronto, Canada. Both exploratory as well as advanced logistic regression analyses were used in the study.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.028
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.314
Teacher spread0.302 · 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 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

Citations1
Published2007
Admission routes2
Has abstractyes

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