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Prospective evidence for the association between urinary bisphenol A and incidence of metabolic syndrome in Chinese males

2019· article· en· W2981475213 on OpenAlexaff
Tse L, Song Wu, Shaolei Lu, Yang Chen, Wei Li, Laurent Li, Li Zhang, Haiyan Huang, Weiyue Feng, Victoria H Arrandale, Greg J. Evans, Feng Wang

Bibliographic record

VenueEnvironmental Epidemiology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHazard ratioMedicineProspective cohort studyMetabolic syndromeConfidence intervalInternal medicineIncidence (geometry)Proportional hazards modelUrinary systemCohort studyUrineCreatinineObesity

Abstract

fetched live from OpenAlex

TPS 632: Health effects of flame retardants and plasticizers, Johan Friso Foyer, Floor 1, August 27, 2019, 3:00 PM - 4:30 PM Objective: Association between environmental bisphenol A (BPA) and metabolic syndrome (MetS) from previous cross-sectional studies was mixed, and the prospective evidence is lacking. This study aims to investigate whether long-term exposure to environmental BPA increases the risk of MetS incidence. Methods: This is a prospective cohort study among Chinese male population in South China. In the baseline survey of 2013, we recruited 1227 male workers who did not have occupational exposure of BPA and free from MetS, and followed them till 31/12/2017. Modified ATP III criteria were used to identify new events of MetS. Urinary BPA concentration was assessed using high performance liquid chromatography tandem mass spectrometry and was categorized into three subgroups by tertile. Adjusted hazard ratio (aHR) and 95% confidence interval (95% CI) was calculated using multiple Cox proportional hazard model. Results: The median concentration of urinary BPA at baseline was 4.03μg/g-creatinine (IQR, 2.17-7.92). By the study end, we observed 200 incident cases of MetS. Compared with the lowest urinary BPA subgroup, a slightly increased risk of MetS was observed among those with middle level (aHR=1.19, 95%CI: 0.84, 1.68) and high level of urinary BPA (aHR=1.18, 95%CI: 0.84, 1.67) and there was no statistical significance; nevertheless, a significant association was restricted primarily to smokers, showing a significantly positive gradient with the increasing level of urinary BPA (moderate level: aHR=2.08, 95% CI: 0.91, 4.73; the highest level: aHR=2.76, 95% CI: 1.27, 6.01; test for trend: p=0.01). Conclusion: This prospective cohort study demonstrates that environmental exposure to BPA may increase the risk of MetS and the risk was prominent among cigarette smokers. Removal at source of hazardous use of BPA substance and smoking cessation are thus advocated. [Acknowledgement: National Natural Science Foundation of China (NSFC), Project No.: 81273172 and 81372964; Tse and Wu are equal contribution; correspondence: [email protected]]

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.021
GPT teacher head0.355
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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