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Record W2128520319 · doi:10.3138/physio.62.3.254

Cessation of Exercise in the Institutionalized Elderly: Effects on Physical Function

2010· article· en· W2128520319 on OpenAlexaffvenue
Sarah C. Marshall, Katherine Berg

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsSte. Anne's HospitalToronto Rehabilitation Institute
Fundersnot available
KeywordsPhysical therapyMedicinePhysical activityPhysical medicine and rehabilitationPopulationActivities of daily livingGerontology

Abstract

fetched live from OpenAlex

PURPOSE: The objectives of this study were (1) to examine the effects of a 12-week exercise cessation period separating two 12-week exercise sessions on physical variables in an elderly institutionalized population and (2) to explore overall programme effectiveness. METHODS: The functional mobility of 25 elderly institutionalized adults participating in an existing exercise programme was examined using a one-group, interrupted time-series design. Functional mobility was evaluated at four time points during two cycles of a 12-week exercise programme, alternating with a 12-week period of no formal exercise. RESULTS: The primary outcome was the change in functional mobility scores, assessed at baseline, 12, 24 and 36 weeks. In both the higher-functioning (HF) group and the lower-functioning (LF) group, the cessation of exercise was associated with deterioration in physical function. The overall non-continuous nature of the programming under study also seemed to be detrimental to the physical function of the LF group. CONCLUSIONS: Findings of this small-sample study support the need to modify common practices in exercise programming for older, institutionalized people.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.831

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)0.0000.000

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 head0.011
GPT teacher head0.330
Teacher spread0.319 · 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.

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

Citations16
Published2010
Admission routes2
Has abstractyes

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