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Record W4407264312 · doi:10.1016/j.envpol.2025.125830

Association between exposure to airborne endocrine disrupting chemicals and asthma in children or adolescents: A systematic review and meta-analysis

2025· review· en· W4407264312 on OpenAlexfundaboutno aff
Georges Hatem, Aurélio Faria, João Paulo Teixeira, Amina Salamova, Carla Costa, Joana Madureira

Bibliographic record

VenueEnvironmental Pollution · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
FundersInstituto De Saúde Pública, Universidade do PortoFundação para a Ciência e a TecnologiaUniversidade do PortoExport Development Canada
KeywordsMeta-analysisEnvironmental healthAsthmaExposure assessmentEndocrine systemMedicineEnvironmental chemistryChemistryInternal medicineHormone

Abstract

fetched live from OpenAlex

Various studies have explored the association between Endocrine Disrupting Chemicals (EDCs) exposure and children's and adolescents' respiratory health, showing potential long-term effects and links to asthma. This systematic review explores the association between exposure to seven EDC groups during school age and adolescence and asthma onset or exacerbation while highlighting the predominant compounds underlying these potential associations. PubMed, Web of Science, Scopus, and Cochrane Library databases were searched with no time restriction. The risk of bias and heterogeneity across the included studies were assessed using the Newcastle Ottawa scale and I2 test, respectively. Pooled Odds Ratios (OR) and their 95% Confidence Intervals (CI) were calculated using the random effect model, and the quality of evidence for each outcome was measured using the GRADE approach. The review included 64851 children and adolescents from 61 observational studies, most with a low risk of bias in the studied domains. The pooled OR for asthma onset was significant for phthalates in dust samples (OR:1.21, CI:1.02; 1.44). Due to limited studies, the overall pooled effects for the other groups were not computed. Individual compounds demonstrating significant associations with asthma onset included airborne nickel (OR:1.10, CI:1.03; 1.18) and zinc (OR:1.13, CI:1.11; 1.15), urinary Bisphenol S (OR:1.40, CI:1.13; 1.73), Bisphenol A (OR:1.57, CI:1.02; 2.40) and arsenic (OR:2.08, CI:1.33; 3.26), and DiBP (OR:1.41, CI:1.08; 1.82), DEHP (OR:1.89, CI:1.00; 3.57), and TBOEP (OR:2.61, CI:1.08; 6.30) in the dust. Individual compounds with significant associations with greater asthma exacerbation odds comprised airborne nickel (OR:1.08, CI:1.01; 1.16) and zinc (OR:1.09, CI:1.01; 1.17), and urinary MEHHP (OR:1.24, CI:1.02; 1.51), MECPP (OR:1.30, CI:1.07; 1.57), MEOHP (OR:1.30, CI:1.09; 1.55), and MCOP (OR:1.32, CI:1.11; 1.57). Exposure to EDCs was significantly associated with asthma onset and exacerbation in children and adolescents, namely for phthalates, bisphenols A and S, arsenic, nickel, and zinc. Further research is recommended to focus on the impact of synergistic and co-exposure to other indoor air pollutants.

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)0.011
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.026
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.035
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.336
Teacher spread0.299 · 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 designMeta-analysis
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

Citations10
Published2025
Admission routes2
Has abstractyes

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