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Record W7034632438

Walking cadence: A novel strategy to improve the proportion of inactive older adults who reach the Canadian Physical Activity Guidelines

2015· dissertation· en· W7034632438 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPedometerPhysical activityCadenceActivity monitorPower walkingPreferred walking speedAerobic exerciseHealth benefits
DOInot available

Abstract

fetched live from OpenAlex

Problem: Only 13% of older adults reach the Canadian Physical Activity Guidelines (CPAG) aerobic activity recommendations. Walking cadence (steps per minute) is a strategy proposed to increase walking at the intensity recommended by the CPAG. Methods: Inactive older adults (N = 51) were instructed to walk 150 minutes per week at no specified intensity during phase 1 (6 weeks). In phase 2 (6 weeks), duration was maintained but the group one (N = 23) received instructions on how to reach moderate intensity, using a pedometer and individualized walking cadence, while group two (N = 22) did not. Results: During phase 1, MVPA time and MVPA in 10-minute bouts increased (p ≤ 0.05), and in phase 2 group one continued to increase MVPA time and time in MVPA in 10-minute bouts (p ≤ 0.01), while the group two significantly decreased (p ≤ 0.01). Discussion: Previously inactive older adults can improve time in MVPA in 10-minute bouts, as recommended by the CPAG, by using prescribed walking cadence, a pedometer to track moderate intensity, and practicing walking at this cadence.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.784

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 studies0.0000.000
Scholarly communication0.0000.003
Open science0.0020.000
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 head0.029
GPT teacher head0.257
Teacher spread0.228 · 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 designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

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