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How Active Are People With Stroke?

2008· article· en· 322 citations· W1966287347 on OpenAlex· 10.1161/strokeaha.108.523621

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: Observational
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.109
Threshold uncertainty score
0.303
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

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)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.031
GPT teacher head0.272
Teacher spread
0.241 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND AND PURPOSE: Accelerometers are a unique tool used to objectively measure free-living physical activity, but their reliability for people with stroke has not been established. The primary aim was to assess the day-to-day reliability of these instruments for the paretic and nonparetic hips. The secondary aims were to measure the amount of physical activity with accelerometers that people with stroke undertake in the community and its relationship with walking capacity (6-minute walk test distance). METHODS: Forty people with stroke wore one Actical accelerometer on each hip for 3 consecutive days at home and during the 6-minute walk test in the laboratory. The accelerometer measured physical activity using total activity counts per day and energy expenditure (kcal/d). RESULTS: Excellent intraclass correlation coefficients (ICCs) for the activity counts (paretic hip ICC([1,3])=0.95, nonparetic hip ICC([1,3])=0.94) and for the energy expenditure (paretic hip ICC([1,3])=0.95, nonparetic hip ICC([1,3])=0.95) were found across the 3 consecutive days at home. Excellent ICCs were also found between the paretic versus the nonparetic hips for the activity counts (ICC([1,3])=0.98) and for the energy expenditure (ICC([1,3])=0.96). Free-living physical activity was very low and 58% of the participants did not meet recommended physical activity levels. Only moderate correlations (r=0.6 to 0.73, P<0.001) were found between the 6-minute walk test distance in the laboratory and 3-day physical activity recording at home. CONCLUSIONS: The accelerometer was found to be a reliable objective instrument. The use of accelerometers quantified the low level of free-living physical activity of people with stroke.

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.

The record

Venue
Stroke
Topic
Physical Activity and Health
Field
Medicine
Canadian institutions
International Collaboration On Repair Discoveries
Funders
National Health Research InstitutesInternational Collaboration on Repair DiscoveriesNational Science CouncilMichael Smith Health Research BCAstraZenecaCanadian Stroke NetworkHeart and Stroke Foundation of CanadaCanadian Institutes of Health ResearchAstraZeneca Canada
Keywords
MedicineIntraclass correlationEnergy expenditurePhysical activityPhysical therapyStroke (engine)AccelerometerPhysical medicine and rehabilitationActivity monitorReliability (semiconductor)Preferred walking speedPsychometricsInternal medicine
Has abstract in OpenAlex
yes