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Record W4409541905 · doi:10.1161/cir.151.suppl_1.p2027

Abstract P2027: Associations Between Paraben Exposure and Cardiometabolic Outcomes in Pediatric Populations: A Systematic Review

2025· review· en· W4409541905 on OpenAlexaff
Deanna Chinerman, A.M. Lungu, Mélanie Henderson, Andraea Van Hulst, Jonathan Chevrier, Tibor Schuster, Tracie A. Barnett

Bibliographic record

VenueCirculation · 2025
Typereview
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineMcGill University
Fundersnot available
KeywordsMedicineEnvironmental healthGerontologyIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction: Parabens are antimicrobial chemicals frequently used as preservatives in consumer products. Due to their chemical structure, exposure to parabens may impact cardiometabolic health by disrupting specific biological pathways. Objective: To synthesize the literature on the associations between paraben exposure and cardiometabolic outcomes in pediatric populations. Methods: Scopus, PubMed, Web of Science, and Embase databases were systematically searched for studies published before July 2024. Inclusion criteria were: at least one paraben exposure measure, at least one reported cardiometabolic outcome (excluding adiposity), and published in English or French. Data extraction included: demographic and methodological details and estimated associations between parabens and cardiometabolic outcomes. Quality was assessed using the Quality Assessment Tool for Quantitative Studies which was developed by the Effective Public Health Practice Project. Results: Of the 9595 records identified: 935 were duplicates, 14 were retained in full-text, and five were included in the review. Excluded were: non-human studies, populations outside the age range of interest (3-19 years), or missing relevant exposure or outcome measures. All five studies were cross-sectional, including 4 of moderate and 1 of weak quality. Exposures studied included methyl (n=5), ethyl (n=5), propyl (n=5), butyl (n=4), and the sum of parabens (n=2), Outcomes studied included blood pressure (n=3), blood lipids (n=3), and measures of glucose and insulin indices (n=3). Confounders adjusted for in most studies included age, sex, socioeconomic status, physical activity, ethnicity, and smoking. Statistical methods included: linear regression models (n=3), Wilcoxon and Chi-squared tests (n=1) and Bayesian machine kernel regression (n=1). Study heterogeneity limited synthesis of study results. One study reported negative associations between ethyl paraben exposure and measures of blood pressure in children 4-6. One study reported a positive association between parabens (in a chemical mixture) and triglyceride/HDL ratios in adolescents. The remaining studies reported no meaningful associations. Conclusion: Research on this topic is limited and heterogeneous making findings inconsistent and difficult to interpret. There is a need for longitudinal studies on parabens and cardiometabolic health, and for a greater understanding of the relationship between lifestyle and exposure patterns in youth.

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)0.010
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.051
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.007
Bibliometrics0.0130.016
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.151
GPT teacher head0.402
Teacher spread0.251 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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