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Record W2170496614 · doi:10.1093/geronb/gbr134

Living in a Well-Serviced Urban Area Is Associated With Maintenance of Frequent Walking Among Seniors in the VoisiNuAge Study

2012· article· en· W2170496614 on OpenAlexafffund
Lise Gauvin, Lucie Richard, Yan Kestens, Bryna Shatenstein, Mark Daniel, Stephen D. Moore, Geneviève Mercille, Hélène Payette

Bibliographic record

VenueThe Journals of Gerontology Series B · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeQueen's UniversityUniversité de SherbrookeUniversité de MontréalInstitut Universitaire de Gériatrie de MontréalCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health Research
KeywordsWell-beingGerontologyGeographyBusinessPsychologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This paper examined whether or not closer proximity to local services and amenities was associated with maintenance of more frequent walking over time among urban-dwelling seniors over and above individual-level characteristics. METHOD: A sample of 521 adults who were part of the VoisiNuAge study and who resided in a large North American urban area reported on the frequency of walking outside the home over a 3-year period and on their health, sociodemographic characteristics, social support and resources, and perceptions of different features of their residential environment. Information about the distance between their home and 16 services and amenities was obtained from a geographic information system. Seniors were then classified into quartiles of proximity (Q1, Q2, Q3, Q4). RESULTS: Unadjusted and adjusted ordinal growth curve models showed that closer proximity to services and amenities was associated with greater likelihood of frequent walking at all times throughout the 3-year period. DISCUSSION: Findings are consistent with the notion that environments may act as buoys for the maintenance of important health behaviors. Future experimental and quasi-experimental research is required to explore whether or not the environment can play a causal role in influencing patterns of walking over time.

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)0.007
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 score0.373
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 science0.0010.000
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 head0.045
GPT teacher head0.333
Teacher spread0.288 · 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

Citations67
Published2012
Admission routes2
Has abstractyes

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