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Cognitive Behavioral Therapies for Insomnia

2025· book-chapter· en· W4410617639 on OpenAlexaff
Charles M. Morin, Simon D. Kyle

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInsomniaCognitionPsychologyCognitive behavioral therapy for insomniaPsychotherapistMedicineCognitive behavioral therapyNeurosciencePsychiatry

Abstract

fetched live from OpenAlex

Abstract This chapter summarizes the current status of cognitive behavioral therapies for insomnia (CBT-I). After presenting a conceptual model of insomnia, the core therapeutic components of CBT-I are described along with other emerging therapies such as mindfulness, acceptance and commitment therapy, and intensive sleep retraining. The authors present a summary of the evidence that has led CBT-I to be recognized as the treatment of choice in current clinical practice guidelines. Potential mechanisms of changes are discussed, as well as the emerging literature on digital therapies. The authors conclude with some practical and clinical considerations that should guide therapists in the implementation of CBT-I. Given that CBT-I is still underutilized and that not all patients actually respond to CBT-I, recommendations for future research are made with reference to the design of more personalized therapies and greater deployment of digital therapies to improve access to insomnia 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.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0310.011

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 head0.039
GPT teacher head0.284
Teacher spread0.245 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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