Use of antibacterial toothpaste is associated with higher urinary triclosan concentrations in Asian immigrant women living in Vancouver, Canada
Bibliographic record
Abstract
BACKGROUND: Triclosan is an antibacterial added to consumer products including toothpastes, cosmetics, and plastic cutting boards. Known to disrupt reproductive and hormonal functioning in animals, epidemiological studies indicate that exposure to triclosan may have similar effects on human health. METHODS: 100 women aged 19 to 45 years born in India or China, Hong Kong, and Taiwan new to the Vancouver (Canada) area were recruited in 2015-2016 by word of mouth, public advertisements, and contacts in health and cultural organizations. Participants completed an interview which queried potential sources of triclosan exposure at home and at work and their urine was tested for triclosan by GC-MS. Determinants of urinary triclosan were assessed by Wilcoxon signed-rank test. RESULTS: Triclosan was detected in 62% of urine samples, with an overall GM of 14.5 μg/L (95% CI: 9.7-21.7 μg/L; range: <LOD to 1900 μg/L). Colgate Total® toothpaste users had higher urinary triclosan concentrations (median = 34.0 μg/L) than non-users (median = 2.5 μg/L, ρ < 0.001), a result which was unaffected by adjustment for age, income, BMI, and country of birth. South Asian born women had elevated urinary triclosan compared to East Asian born women. CONCLUSION: Triclosan exposure via a specific antibacterial toothpaste brand was identified in reproductive age newcomer women in Canada. Health education around brushing teeth well while using lower toothpaste volumes or choosing triclosan-free toothpaste would reduce triclosan exposure.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".