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Record W3194556429 · doi:10.1289/isee.2021.o-sy-109

Changes in residential exposure to ambient fine particulate matter due to relocation and long-term survival in Canada: a quasi-experimental study

2021· article· en· W3194556429 on OpenAlex
Hong Chen, Jay S. Kaufman, Chen Chen, Megan Kirby Mcgregor, Tarik Benmarhnia

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISEE Conference Abstracts · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsMcGill UniversityHealth Canada
Fundersnot available
KeywordsDemographyConfidence intervalEnvironmental healthProportional hazards modelCensusMedicinePropensity score matchingCohortParticulatesCohort studyGerontologyPopulationBiologySurgeryInternal medicineEcology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Despite significant advances in understanding the health burden of hypothetical changes in ambient fine particulate matter (PM2.5), less is known how actual changes in PM2.5 levels may influence its long-term adverse effects, especially on mortality. We aimed to conduct a quasi-experiment to evaluate the association between mortality and changes in PM2.5 in Canada. METHODS: We identified movers from a national cohort of Canadian census respondents (10 million) who were aged 25-89 years, had a history of either high or low exposure to PM2.5 before census day, and moved within the following five years, yielding two cohorts. Exposures were ascertained using satellite-derived PM2.5 measurements based on movers’ postal-code addresses since five years before the census day. To assess the relationship between changes in PM2.5 and mortality, we conducted a propensity score matching analysis with Cox proportional hazards model including various covariates. We did various sensitivity analyses, such as considering multiple imputation. RESULTS:Residential mobility yielded a decline in annual PM2.5 exposure from ~10 μg/m3 to 7.4 μg/m3 and to 5.0 μg/m3 in the high to intermediate (or low) movers. Conversely, annual PM2.5 increased from ~4.6 μg/m3 to 6.7 μg/m3 and to 9.2 μg/m3 in the low to intermediate (or high) movers. Over five years after the move, we observed a 6.8% reduction in mortality among individuals whose PM2.5 exposures decreased from high to intermediate levels (95% confidence interval: 1.7%-11.7%). A greater decline in mortality was observed among individuals with a larger reduction in exposures. These results were consistent in sensitivity analyses. Additionally, we found an increase in mortality with elevated PM2.5 exposure. CONCLUSIONS:Decreases in PM2.5 were associated with lowered mortality whereas increases in PM2.5 were associated with elevated mortality in Canada. These results were found at the PM2.5 levels considerably lower than many other countries, providing support for continuously improving air quality. KEYWORDS: quasi-experiment, fine particulate matter, mortality

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

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)0.0010.000

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 head0.047
GPT teacher head0.307
Teacher spread0.260 · 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