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Record W2075393887 · doi:10.1186/1710-1492-10-s1-a8

Longitudinal associations between neighbourhood walkability and incident childhood asthma

2014· article· en· W2075393887 on OpenAlexaffvenueabout
Elinor Simons, Sharon Dell, Rahim Moineddin, Teresa To

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsHospital for Sick ChildrenInstitute for Clinical Evaluative SciencesSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsWalkabilityNeighbourhood (mathematics)Longitudinal studyAsthmaEnvironmental healthGeographyMedicinePhysical activityPhysical medicine and rehabilitationMathematicsInternal medicine

Abstract

fetched live from OpenAlex

Low neighbourhood walkability has been associated with chronic conditions such as obesity and diabetes, but the relationship between neighbourhood walkability and incident childhood asthma has not been determined. We evaluated the association between neighbourhood walkability and incident childhood asthma using prospectively-collected administrative data at the Institute for Clinical Evaluative Sciences. Among the 1997-2003 birth cohorts of children living in Toronto, neighbourhood quintile of walkability was reported using a validated walkability index with 4 dimensions: population density, dwelling density, access to services and street connectivity. Incident asthma was defined by the time of entry into the Ontario Asthma Surveillance Information System (OASIS) database, requiring 2 outpatient visits for asthma within 2 consecutive years or any hospitalization for asthma. Sex and neighbourhood income quintile were obtained from the Registered Person’s Database. Histories of preterm delivery, obesity and other atopic conditions were obtained from Ontario Health Insurance Plan records. We calculated the associations between incident childhood asthma and the two lowest versus the two highest neighbourhood walkability quintiles using Cox proportional and discrete-time hazard models. Twenty-one percent of the 326 383 children met the OASIS criteria for asthma. After adjusting for sex, preterm delivery, obesity, atopic conditions and neighbourhood income quintile, children with low home neighbourhood walkability at birth were at increased risk of asthma development [hazard ratio (HR) 1.11; 95% confidence interval (CI), 1.08-1.14], and the association did not change for children with healthcare visits for asthma in the past year (HR 1.10; 95% CI, 1.04-1.16). When walkability in each year of the child’s life was considered, low neighbourhood walkability was associated with increased odds of incident childhood asthma (odds ratio 1.12; 95% CI, 1.09-1.15). These associations were not substantially affected by year of birth within the cohort. Children living in neighbourhoods with low walkability are at increased risk of incident childhood asthma after adjusting for neighbourhood and individual characteristics. The association persists for children with visits for asthma within the past year. Possible mechanisms of this association include more physical activity, fewer weight problems and decreased exposure to traffic-related air pollution in more walkable neighbourhoods. Our findings suggest that promotion of neighbourhood walkability may offer a strategy for primary asthma prevention. Walkability of existing neighbourhoods may be improved by encouraging greater placement of services such as banks and grocery stores within walking distance of residential neighbourhoods and adding pedestrian paths between roads to improve street connectivity.

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)0.001
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 score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.026
GPT teacher head0.328
Teacher spread0.303 · 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
Published2014
Admission routes3
Has abstractyes

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