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Record W7036319421

Associations between walking behaviour and personal and environmental factors in older adults living in a downtown neighbourhood

2008· dissertation· en· W7036319421 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2008
Typedissertation
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNeighbourhood (mathematics)WalkabilityDowntownBuilt environmentPhysical activitySample (material)Personal incomeAssociation (psychology)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the association between personal and environmental factors and walking behaviour among older adults.The sample consisted of 60 people aged 65 years or more (mean :7'7 L7.27, range 65 to 92).Perceived environment was assessed using the Neighbourhood Environment Walkability Scale (NEV/S-A, abbreviated version).Physical function was measured using the Functional Fitness Test.Walking behaviour was assessed with pedometers.Three participants had an average number of steps above two standard deviations from the mean, and were considered influential observations.After adjustments for age, health status and physical function, and removing influential observations, increased walking was significantly associated with higher income (þ:0.274,p<0.05).After adjusting for age, health and income, and removing influential observations increased walking was significantly associated with higher physical function (B: 0.300, p<0.05).No association was found between walking and environmental factors after adjustments for personal factors, and removing influential observations.Among this sample, personal factors (age, annual income, and physical function) accounted for 40.7Yo (R2: 0.407) of the variation.The environment explaine d 8J% (R' : 0.087) of the variation after controlling for personal factors.First of all I would like to thank The One who made everything possible: God.All glory and praise.To my family, for love, support, caring, and understanding, and also for giving me the opportunity to study.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2008
Admission routes1
Has abstractyes

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