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Record W4416627549 · doi:10.1021/envhealth.5c00319

Early-Life Ozone Exposure and Childhood Allergic Rhinitis: Critical Exposure Windows, Exposure-Response Relationships, and Protective Modifiers

2025· article· en· W4416627549 on OpenAlexaff
Tianyi Chen, Zhiping Niu, Dan Norbäck, Tippawan Prapamontol, Magnus Svartengren, Erjia Ge, Chan Lu, Ling Zhang, Wei Yu, Xiaohong Zheng, Tingting Wang, Xia Meng, Jing Wei, Zafar Fatmi, Zhiwei Liu, Yanyi Xu, Zhuohui Zhao

Bibliographic record

VenueEnvironment & Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersNational Postdoctoral Program for Innovative TalentsShanghai International Science and TechnologyNational Natural Science Foundation of ChinaChina Postdoctoral Science FoundationNatural Science Foundation of Shanghai
KeywordsInterquartile rangeBreastfeedingOdds ratioOzonePrenatal exposureOdds

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Childhood allergic rhinitis (AR) is associated with ozone (O 3 ) exposure, yet the sensitive exposure window (SEW) remains unclear. This multicenter survey of 38,176 children aged 3–6 years across 7 Chinese cities (2019–2020) estimated satellite-based individual maximum daily 8 h average O 3 exposure. The SEW and its exposure–response ( E – R ) relationship were assessed. Doctor-diagnosed AR prevalence was 11.9%. Average O 3 exposure from prenatal to AR onset ranged from 67.5 to 76.7 μg/m 3 . The critical SEW was identified as infancy, specifically 30–38 weeks postnatal (7.5–9.5 months). Per interquartile range (IQR) (10.1 μg/m 3 ) increase in O 3, the adjusted odds ratio was 1.29 (95% CI: 1.22–1.36), independent of PM 2 . 5 . The E – R relationship was nonlinear, J-shaped, and threshold-free. The SEW effect was stronger in southern cities and mitigated by ≥6 months of exclusive breastfeeding. In conclusion, O 3 significantly increases AR risk, with 7.5–9.5 months postnatal being a critical SEW, especially in exclusive breastfeeding <6 months and southern regions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.027
GPT teacher head0.283
Teacher spread0.256 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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