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Record W2411310571 · doi:10.1177/0031512516653388

The Psychometric Properties of a Modified Sit-to-Stand Test With Use of the Upper Extremities in Institutionalized Older Adults

2016· article· en· W2411310571 on OpenAlexaff
Mélanie Le Berre, David Apap, Jade Babcock, Sarah Bray, Esther Gareau, Kathleen Chassé, Nicole Lévesque, Shawn M. Robbins

Bibliographic record

VenuePerceptual and Motor Skills · 2016
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsSte. Anne's HospitalCentre de réadaptation Lethbridge-Layton-MackayCentre for Interdisciplinary Research in RehabilitationUniversité de MontréalMcGill University
Fundersnot available
KeywordsTest (biology)PsychologyPsychometricsPhysical medicine and rehabilitationClinical psychologyPhysical therapyGerontologyMedicine

Abstract

fetched live from OpenAlex

Current sit-to-stand protocols do not permit use of upper extremities, limiting the protocols' utility for institutionalized older adults with diminished physical function. The objective of this study was to modify a 30-s sit-to-stand protocol to allow for arm use and to examine test-retest reliability and convergent validity; 54 institutionalized older adult men (age = 91 ± 3 year) performed the 30-s sit-to-stand twice within a span of 3 to 7 days. Results suggest good test-retest reliability (intraclass correlation coefficient = .84) and convergent validity with the Timed Up and Go Test (r = -.62). This modified 30-s sit-to-stand can be used to assess physical function performance in institutionalized older adults and will ensure that individuals with lower physical function capacity can complete the test, thus eliminating the floor effect demonstrated with other sit-to-stand protocols.

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)0.003
metaresearch head score (Gemma)0.018
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 score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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

Citations19
Published2016
Admission routes1
Has abstractyes

Explore more

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