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Record W2796070172 · doi:10.1249/fit.0000000000000375

BEHAVIORAL STRATEGIES, INCLUDING EXERCISE, FOR ADDRESSING INSOMNIA

2018· article· en· W2796070172 on OpenAlexaff
Rachel R. Markwald, Imran H. Iftikhar, Shawn D. Youngstedt

Bibliographic record

VenueACSMʼs Health & Fitness Journal · 2018
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsCanadian Sleep & Circadian Network
FundersNational Heart, Lung, and Blood InstituteU.S. Department of Veterans Affairs
KeywordsInsomniaPillSleep (system call)CognitionReading (process)PsychologySleep hygieneMedicinePsychiatryComputer scienceNursingSleep quality

Abstract

fetched live from OpenAlex

Cognitive-behavioral therapy for insomnia is superior to sleeping pills for treating insomnia, and its accessibility is rapidly improving. Exercise can also promote sleep in insomnia. A list of recommendations on good sleep practices can be applied prior to consulting with a clinician and can often resolve insomnia symptoms. SUMMARY STATEMENT: Insomnia is associated with negative psychological and physiological health outcomes. Established behavioral strategies for addressing insomnia such as adoption of good sleep habits and engagement in Cognitive Behavioral Therapy for Insomnia have documented efficacy. Exercise is also efficacious with unique health benefits.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.147
GPT teacher head0.461
Teacher spread0.314 · 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 designOther design
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

Citations30
Published2018
Admission routes1
Has abstractyes

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