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Record W1893106947 · doi:10.3233/wor-2012-1346

Physical effect of work on healthy individuals: Implications for FCE testing\m{1}

2012· article· en· W1893106947 on OpenAlexaff
Min Kyi, Jodi Ann Fischer, Jaclyn Penner, Jennifer A. Read, Catherine L. Backman

Bibliographic record

VenueWork · 2012
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsArthritis Research Centre of CanadaUniversity of British Columbia
Fundersnot available
KeywordsMorningTest (biology)Physical therapyMedicineAnalysis of variancePhysical medicine and rehabilitationRepeated measures designPopulationAsymptomaticPsychologyStatisticsMathematicsSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to assess the effect of time of day and job type on performance of three functional capacity evaluation measures in healthy (asymptomatic) adults. It was queried whether or not a healthy population of adults would demonstrate a change in physical performance ability, when re-tested at the end of their work day. SETTING: A convenience sample of 50 healthy adults (19-62 years, 66% male) was used from six work sites in an urban area. DESIGN: Same day pre-test and post-test testing was performed, implementing use of three commonly used functional capacity tests: Jamar dynamometer grip strength test, Turning sub-test of the Complete Minnesota Dexterity Test, and the 50-foot walk test. METHODS: The study compared morning and afternoon test scores, and using t-tests, assessed the effect of job type (sedentary, light, medium, heavy) on performance using ANOVA. RESULTS: All three measures improved from morning to afternoon; differences were statistically significant for 50-foot walk (mean=0.2 sec, p=0.02) and manual dexterity (mean=5 sec, p< 0.001). Job type had a significant effect on dexterity. CONCLUSIONS: Late day performance did not show any significant decline in this sample of healthy adults, and in fact tended to improve or stay relatively stable. Therefore, clinicians who perform functional capacity evaluations should consider alternative explanations for late-day functional declines observed in injured patients. These findings, combined with other test results, may assist clinicians with disability determination.

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)0.001
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 score0.078
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.031
GPT teacher head0.360
Teacher spread0.329 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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