MétaCan
Menu
Back to cohort
Record W187583962 · doi:10.3233/ies-2007-0253

Five-repetition sit-to-stand test performance by community-dwelling adults: A preliminary investigation of times, determinants, and relationship with self-reported physical performance

2007· article· en· W187583962 on OpenAlexaff
Richard W. Bohannon, Megan E. Shove, Susan Barreca, Lisa M. Masters, Christopher Sigouin

Bibliographic record

VenueIsokinetics and Exercise Science · 2007
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of TorontoMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsRepetition (rhetorical device)Test (biology)PsychologyGerontologyMedicineBiologyEcology

Abstract

fetched live from OpenAlex

The 5-repetition sit-to-stand (STS) test is a widely used, but insufficiently evaluated, test for lower limb strength. We therefore described STS test times for a sample of community-dwelling adults, examined the association of age, gender, height, weight, and body mass index (BMI) with STS time, and determined the relationship of STS time with self-reported physical functioning. Ninety-four community dwelling adults participated. Repeated measures of STS time were reliable (intraclass correlation coefficient =0.957). The mean STS time for all 94 subjects was 7.6 seconds. Age, weight, and BMI were (r=0.281–0.528), but gender and height were not(r=−0.074–0.007), correlated significantly with STS time. Regression analysis showed that age and BMI explained 43.7 percent of the variance in STS time. The correlation between STS time and physical functioning r=−0.474) was significant (p<0.001). Regression analysis showed that age and BMI added slightly to the explanation of variance in physical functioning provided by STS time. In conclusion, this study provides STS times that might be useful for interpreting performance of adults screened with the test. Such performance should be considered in light of age and BMI. The relationship of STS time with physical functioning provides evidence of the validity of the measure.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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

Citations133
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueIsokinetics and Exercise ScienceSame topicPhysical Activity and HealthFrench-language works237,207