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Record W6923662543 · doi:10.14288/1.0440716

Air pollution, green space and dementia risk in Canada

2024· article· en· W6923662543 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaInterquartile rangeAir pollutionPopulationPublic healthPopulation healthEpidemiologyRisk assessment

Abstract

fetched live from OpenAlex

Dementia is a major global population health challenge. It is not curable, and severity worsens over time. With seniors expected to comprise approximately 25% of the Canadian population by 2035, cases of dementia and its related health and financial burden are forecast to dramatically increase in the next decades. While some well-known risk factors for dementia are identified (e.g. age, sex), they do not fully explain dementia risk, therefore other potentially modifiable risk factors may be unidentified. Mounting evidence suggests connections between environmental factors and dementia, however associations between exposure to air pollution and dementia have not been adequately studied, nor have the potential protective effects of residing in neighbourhoods with more natural green space. To address these gaps, we investigated the links between long-term exposure to air pollution (e.g. fine particulate matter, PM₂ꓸ₅; nitrogen dioxide, NO₂), dementia, and the possible beneficial impacts from green space (Normalized Difference Vegetation Index) within three large population-based cohorts. In the Metro Vancouver cohort, air pollutants were associated with incidence of non-Alzheimer’s dementia (e.g., hazard ratios (HR) of 1.02 [0.98-1.05], 1.02 [0.99-1.06] per interquartile range increase in PM₂ꓸ₅ and NO₂). In the national 2001 Canadian Census Health and Environment Cohort, PM₂ꓸ₅ (1.09 [95% CI:1.08-1.10] per interquartile range increase) and NO₂ (1.08 [95% CI:1.07-1.09]) were associated with dementia mortality. These findings were supported by analysis of the Canadian Community Health Survey where individual behavioural risk factors (smoking, alcohol consumption, etc.) were available. Air pollutants were associated with increased dementia mortality (e.g., dementia HR of 1.25 [1.23-1.27] and 1.23 [1.21-1.25] per interquartile range increase in PM₂ꓸ₅ and NO₂, while HRs were attenuated (1.14 [1.12-1.16] and 1.17 [1.15-1.19]) in models including behavioural risk factors. Across the three cohorts, greenness was associated with 1-5% risk reduction in dementia. These results indicate that air pollution, even at relatively low concentrations, was linked with dementia, while living in greener areas was found to have some small protective effects. These findings contribute to the overall understanding of the relationships between built-in environment factors and dementia and can contribute to the development of public health approaches for dementia risk reduction.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.010
GPT teacher head0.216
Teacher spread0.207 · 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