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Record W4405268987 · doi:10.1016/s2542-5196(24)00279-1

Ambient air pollution exposure and adult asthma incidence: a systematic review and meta-analysis

2024· review· en· W4405268987 on OpenAlexafffundabout
Spencer Lee, Rose He, Jacquelyn J. Cragg, Chris Carlsten, Amanda Giang, Prubjot Gill, KATE JOHNSON, Emily Brigham

Bibliographic record

VenueThe Lancet Planetary Health · 2024
Typereview
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsVancouver Coastal HealthInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersNational Institutes of HealthMichael Smith Health Research BCAstraZenecaAmerican Thoracic Society
KeywordsAsthmaAir pollutantsPollutantEnvironmental healthAir pollutionIncidence (geometry)MedicineRisk factorEnvironmental scienceImmunologyInternal medicineChemistry

Abstract

fetched live from OpenAlex

Background Ambient (outdoor) air pollutant exposures have emerged as a plausible risk factor for incident childhood asthma. However, the effect of ambient air pollutant exposures on risk of incident adult asthma is unclear. We aimed to investigate associations between specific ambient air pollutants and the risk of incident adult asthma. Methods In this systematic review and meta-analysis, we searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Web of Science from inception to Nov 27, 2023. We included observational studies with the outcome of new-onset asthma during adulthood (onset at ≥18 years), and metric of exposure of ambient air pollutants (particulate matter [PM] 2·5 , nitrogen dioxide [NO 2 ], ozone [O 3 ], and sulphur dioxide [SO 2 ]). Study data were extracted independently by two reviewers and study quality was assessed using the Newcastle–Ottawa scale. When four or more eligible studies were available for a given pollutant, we applied meta-analysis using inverse variance weighting in a random effects model to estimate pooled relative risk (RR), and used meta-regression to explore sources of heterogeneity. The protocol was registered with PROSPERO, CRD42023420139. Findings Our search identified 1891 references. After excluding 651 (34%) duplicates and ineligible studies, we included 25 studies in the systematic review. After excluding studies with overlapping populations or reporting effect estimates that could not be pooled, we performed meta-analysis for PM 2·5 (nine studies), NO 2 (nine studies), and O 3 (four studies). Pooled random effects RRs for incident adult asthma per 5 μg/m 3 increase in PM 2·5 were 1·07 (95% CI 1·01 to 1·13) and per 10 μg/m 3 in NO 2 were 1·11 (1·03 to 1·20). We found no significant association between increasing O 3 concentration and incident adult asthma (per 60-μg/m 3 increase in O 3 , pooled RR 1·04 [0·79 to 1·36]). We found substantial heterogeneity across studies ( I 2 =88% for all analyses). In exploratory meta-regression, average exposure level was a significant source of heterogeneity for the pooled NO 2 estimate (95% CI –0·0077 to –0·0025 per μg/m 3 ). Interpretation Exposure to increased ambient PM 2·5 or NO 2 might present an additional risk factor for incident adult asthma, although high heterogeneity among included studies warrants caution in interpretation. Evidence was inconsistent for O 3 and insufficient for SO 2 . To increase confidence and population representation in pooled estimates, further primary investigations are necessary, ideally with aligned methodology and reporting. Funding None.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.000
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)0.0000.000

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 head0.114
GPT teacher head0.376
Teacher spread0.261 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations34
Published2024
Admission routes3
Has abstractyes

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