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Record W2096356551 · doi:10.1017/s0714980811000080

Factors that Influence Physical Activity in Long-term Care: Perspectives of Residents, Staff, and Significant Others

2011· article· fr· W2096356551 on OpenAlexafffund
Kathleen Benjamin, Nancy Edwards, Paulette Guitard, Mary Murray, Wenda Caswell, Marie Josée Perrier

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsQueen's UniversityNipissing UniversityUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsPhysical activityFocus groupLong-term careGerontologyComponent (thermodynamics)PsychologyWork (physics)MedicineNursingPhysical therapyBusiness

Abstract

fetched live from OpenAlex

Physical activity has been linked to positive health outcomes for frail seniors. However, our understanding of factors that influence the physical activity of residents in the long-term care (LTC) setting is limited. This article describes our work with focus groups, one component of a multi-component study that examined factors influencing the physical activity of LTC residents. Residents, significant others, and staff from nine LTC facilities participated in these focus groups. Analysis of group discussions revealed three themes reflecting factors that mitigate the provision of physical activity: (a) inadequate support for physical activity, (b) pervasive institutional routines, and (c) physical environment constraints. All participants considered physical activity important to health preservation. Individual, structural, and environmental factors affected the quantity and quality of physical activity accessed by residents. These findings confirm the need to develop practical strategies and ways to address modifiable barriers and embed physical activity into LTC systems of care.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.278
Teacher spread0.248 · 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

Citations46
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicHealth disparities and outcomesFrench-language works237,207