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Record W2089721115 · doi:10.1177/0891988705276062

Interaction of Sleep Disturbances and Anxiety in Later Life: Perspectives and Recommendations for Future Research

2005· review· en· W2089721115 on OpenAlexaff
Adam P. Spira, Leah Friedman, A. J. Flint, Javaid I. Sheikh

Bibliographic record

VenueJournal of Geriatric Psychiatry and Neurology · 2005
Typereview
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity Health NetworkUniversity of TorontoToronto Rehabilitation Institute
Fundersnot available
KeywordsAnxietySleep (system call)Sleep disorderPsychologyClinical psychologyPopulationPsychiatryEpidemiologyMedicineInsomnia

Abstract

fetched live from OpenAlex

Both sleep disturbances and anxiety are quite common in older adults. Although increasing research efforts have investigated sleep disturbances and anxiety in older adults, little has been written concerning the relation between sleep disturbances and anxiety in this population. This article reviews the epidemiological and clinical literature concerning the overall prevalence of sleep disturbances and relations between sleep and anxiety in later life. The article begins with a discussion of the prevalence of sleep and anxiety problems in older individuals, continues with a clinical review of the complex interrelationship between sleep and anxiety in older adults, and briefly considers possible neurobiological underpinnings of this interrelationship. This is followed by a brief discussion of the impact of medical illness on both anxiety and sleep disturbances. The article ends with a summary of findings from this review and provides recommendations for future research.

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)0.008
metaresearch head score (Gemma)0.007
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: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0040.007
Open science0.0030.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0070.002

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 head0.398
Teacher spread0.359 · 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
GenreReview

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

Citations18
Published2005
Admission routes1
Has abstractyes

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