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Record W2939835010 · doi:10.1093/sleep/zsz067.388

0389 When Sleep Quality Improves, Do Performance and Satisfaction in Other Life Roles Change

2019· article· en· W2939835010 on OpenAlexaboutno aff
Natalie Rolle, Aaron M. Eakman, James E. Graham

Bibliographic record

VenueSLEEP · 2019
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaActivities of daily livingClinical psychologyQuality of life (healthcare)Sleep (system call)Occupational therapyPsychologyPhysical therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Chronic insomnia is a prevalent condition negatively impacting the health and daily functioning of many Veterans. Occupational therapy is focused on helping individuals maximize performance and participation in their daily activities. Sleep is our largest occupation consuming around 1/3rd of our lives and sleep challenges create barriers to daily goals. Therefore, sleep is something occupational therapy should be concerned with and address to improve sleep itself and possibly other functional outcomes as well. We recruited a convenience sample of 45 student Veterans to participate in occupational therapist-led Cognitive Behavioral Therapy for Insomnia (CBTI). We collected pre- and post-intervention data on sleep quality and daily functioning using the PROMIS Sleep scales and the Canadian Occupational Performance Measure (COPM), respectively. The COPM assesses one’s perceived performance and satisfaction across five pre-selected domains of daily functioning. We examined un-adjusted pre-post changes for both constructs using paired t-tests and we examined the association between sleep quality and daily functioning over time using multivariable linear mixed models to account for the correlation of repeated measures within participants. The results represent a preliminary analysis of the first 16 participants. The preliminary sample included 14 males and 2 females who were fully matriculated students at Colorado State University. Mean (standard deviation) age was 32.1 (6.6) years. Un-adjusted analyses demonstrated significant (p < .05) improvements in sleep quality, perceived performance in daily functioning, and satisfaction with daily functioning. Similarly, the multivariable regression analyses yielded significant associations between changes in sleep quality and both performance and satisfaction with daily functioning over time. Perceived performance and satisfaction with daily functioning can be enhanced through effective interventions targeting improvements in sleep quality in student Veterans. Additional research is needed to evaluate the variability in the improvements in daily functioning and to determine whether these effects are maintained longer-term. The Restoring Effective Sleep Tranquility "REST" project is supported by the New Start for Student Veterans Program at Colorado State University.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.036
GPT teacher head0.358
Teacher spread0.322 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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