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Record W3020707746 · doi:10.1088/2515-7620/ab8b2a

Environmental attributes and sedentary behaviours among Canadian adults

2020· article· en· W3020707746 on OpenAlex

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Research Communications · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchMinistry of Education, Culture, Sports, Science and Technology
KeywordsDestinationsGeographyWalkabilityNeighbourhood (mathematics)Transport engineeringBuilt environmentEnvironmental healthTourismMedicineEcologyEngineeringMathematics

Abstract

fetched live from OpenAlex

Abstract The potential of the neighbourhood built environment for reducing sedentary behaviour has been highlighted in the recent research building on the socio-ecological models. Nevertheless, few studies have investigated the associations between objectively-measured environmental attributes and domain-specific sedentary behaviours in different geographical locations. Notably, high-quality environmental measures that are less data-dependent and are replicable in and comparable across different contexts are needed to expand the evidence on urban design and public health. We examined associations of environmental attributes and Space Syntax Walkability (SSW) with leisure screen time and car driving in a sample of Canadian adults. A total of 2006 Calgarian adults completed a survey that captured their leisure screen time and car driving. Environmental attributes were population density, intersection density, availability of sidewalks, availability of destinations, and SSW using geographic information systems. Adjusting for covariates, a one standard deviation increase in SSW was associated with 0.43 (95% CI −0.85, −0.02) hours/week decrease in leisure screen time. No other environmental attributes were significantly associated with leisure screen time. All environmental attributes (except the availability of sidewalks) were negatively associated with car driving. The strongest association was observed between SSW with car driving—a one standard deviation increase in SSW was associated with 0.77 (95% CI −0.85, −0.02) hours/week decrease in the car driving. Those who lived in highly populated and more connected areas with a variety of destinations nearby spent less time driving their cars. Further, our findings highlight that the composite measure of SSW is associated with both leisure screen time and car driving. Focusing on a novel environmental aspect (SSW) and an emerging health risk factor (sedentary behaviour) among a relatively large sample of Canadian adults, our study provides unique insights into environmental health research.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.347
Teacher spread0.268 · 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