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Record W3014325040 · doi:10.3138/ptc-2019-0021

Normative Values for the Unsupported Upper Limb Exercise Test and 6-Minute Pegboard and Ring Test in Healthy Canadian Adults

2020· article· en· W3014325040 on OpenAlexaffvenueabout
Vanessa Pereira Lima, Dina Brooks, Stacey Konidis, Tamara Araújo, Giane Amorim Ribeiro-Samora, Roger Goldstein, Tania Janaudis‐Ferreira

Bibliographic record

VenuePhysiotherapy Canada · 2020
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcGill UniversityUniversity of TorontoHamilton Health SciencesMcGill University Health CentreWest Park Healthcare CentrePopulation Health Research Institute
Fundersnot available
KeywordsMedicinePhysical therapyTest (biology)Normative

Abstract

fetched live from OpenAlex

Purpose: We determined normative values for the Unsupported Upper Limb Exercise (UULEX) test and the 6-Minute Pegboard and Ring Test (6PBRT) in a sample of healthy Canadian adults aged 40–89 years. Method: Volunteers completed the UULEX test and the 6PBRT twice with an interval of 30 minutes between tests or after the variables of interest had returned to their baseline values. Results: A total of 97 volunteers completed the tests (53.4% female); their mean age was 64.3 (SD 13.9) years. Mean UULEX scores were 11.4 (SD 3.0) minutes for women and 12.4 (SD 2.5) minutes for men. The mean 6PBRT score was 404.7 (SD 100.1) rings moved. For both tests, younger individuals’ scores were higher. As volunteers’ age increased, their functional performance on both tests was reduced: UULEX, r = –0.50 ( p = 0.001), and 6PBRT, r = –0.60 ( p = 0.001). Conclusions: These normative values increase the usefulness of these tests as measures of upper limb function.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.464

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 head0.252
Teacher spread0.242 · 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

Citations5
Published2020
Admission routes3
Has abstractyes

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