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Impacts of sleep changes on occupational performance: perceptions of older people

2024· article· en· W4402925658 on OpenAlexaboutno aff
Laura Castro Matos, Carolina Rebellato, Carolina Becker Bueno Lopes, Janaína Santos Nascimento

Bibliographic record

VenueCadernos Brasileiros de Terapia Ocupacional  · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsnot available
Fundersnot available
KeywordsSleep (system call)PerceptionGerontologyPsychologyAudiologyMedicineComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Abstract Introduction Sleep changes in the older population can cause physical, psychological, cognitive, and behavioral problems with possible impacts on occupational performance. Objective To understand the perception of older people living in a community regarding sleep changes and their impact on occupational performance. Method This is a qualitative, exploratory, and cross-sectional study, carried out with older people living in the Residential Village of the Federal University of Rio de Janeiro. To collect data, the Montreal Cognitive Assessment and the Pittsburgh Sleep Quality Index were used, in addition to interviews to characterize the sociodemographic and health profile, lifestyle habits and understanding the impact of sleep on daily life. Data were analyzed using content analysis. Results Six people participated, aged between 65 and 78 years old, mainly single, with a self-perceived good quality of life and regular health, in addition to an abnormal pattern of sleep efficiency in the last month. Nocturnal diuresis and chronic pain were found to affect rest and sleep, along with habits and environmental factors such as screen use and medication. Sleep changes interfere with mental functions that worsen participation in occupations, especially leisure, basic and instrumental activities of daily living, education and social participation. Conclusion Sleep is influenced by physiological, psychological, social and contextual aspects and influences performance in occupations. It is essential to consider this topic in occupational therapeutic assessment.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.020
GPT teacher head0.321
Teacher spread0.301 · 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 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
Published2024
Admission routes1
Has abstractyes

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