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Nature and Treatment of Insomnia

2012· other· en· W1552828761 on OpenAlexaff
Charles M. Morin, Josée Savard, Marie‐Christine Ouellet

Bibliographic record

VenueHandbook of Psychology, Second Edition · 2012
Typeother
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInsomniaMental healthPsychiatryDepression (economics)ComorbiditySleep (system call)EpidemiologyPsychologySleep disorderMedicineClinical psychology

Abstract

fetched live from OpenAlex

There is a strong association between sleep and health. Both mental and physical health are very much dependent on adequate sleep quality and duration; likewise, healthy sleep is much dependent on good physical and mental health. Not surprisingly, there is a very high rate of comorbidity between sleep disturbances and mental and physical health problems. Insomnia is the most common of all sleep disorders, affecting nearly 25% of all adults at least occasionally and 10% on a more persistent basis. Chronic insomnia produces negative consequences on numerous aspects of quality of life and is a risk factor for mental (e.g., depression) and physical (e.g., hypertension) health problems. After presenting an overview of some basic facts about sleep and the impact of sleep loss on different areas of functioning, this chapter reviews the nature and treatment of insomnia. The nature of insomnia complaints and its epidemiology is summarized, with a summary of the evidence on its natural history, prevalence, risk factors, and long-term course. This is followed by a description of validated assessment methods for sleep/wake complaints and a review of current therapeutic options for the management of insomnia, with a predominant emphasis on cognitive-behavioral approaches.

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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.113
Threshold uncertainty score0.999

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 integrity0.0020.000
Insufficient payload (model declined to judge)0.0560.000

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 head0.014
GPT teacher head0.313
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2012
Admission routes1
Has abstractyes

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