Temporal variability and sources of triclosan exposure in pregnancy
Bibliographic record
Abstract
BACKGROUND: Triclosan (TCS) is an antibacterial agent commonly added to personal care products. Some animal research studies have associated TCS exposure with androgenic and thyroid effects, as well as endocrine disruption, contact dermatitis and skin irritation. Limited Canadian data exist on exposure levels, temporal variability and sources of exposure to TCS, especially among pregnant women. METHODS: Single and serial spot urine samples (n=1249), as well as consumer product use information were collected over 5 study visits across pregnancy and post-partum from 80 healthy pregnant women in Ottawa, Canada. Urine samples were analyzed for TCS by GC-MS-MS. Summary statistics, linear mixed effects models, and surrogate category analysis were used to describe the results. RESULTS: Triclosan was detected in 87% of maternal urine samples (LOD=3.0μg/L). The geometric mean TCS concentration of all urine samples was 21.6μg/L (95% CI 18.2-25.7). Triclosan concentrations were significantly higher when the urine was collected before 16:00, in the autumn, and more than 90min since last void, and in nulliparous women with household incomes greater than $100,000. A significant correlation was observed between maternal urinary TCS concentrations and number of reported uses of TCS-containing products. The ability of a single spot urine sample collected at any time during or post-pregnancy to predict an individual's geometric mean urinary TCS level corresponding to low, medium, or high exposure was 86.7%. Intraclass correlation coefficients indicated high reproducibility within a week-day (0.77) and week-end day (0.79) and moderate reproducibility across the study period (0.50). CONCLUSIONS: This study provided the first data on temporal variability of urinary TCS concentrations and predictors of exposure in Canadian pregnant women. These results can inform exposure assessments in pregnant women and justify collection of single spot urine samples in epidemiologic studies, especially for women with higher exposures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".