Di-(2-Ethylhexyl) Phthalate (DEHP) in House Dust in Canadian Homes: Behaviors and Associations with Housing Characteristics and Consumer Products
Bibliographic record
Abstract
Background. Di-(2-ethylhexyl) phthalate (DEHP), which is ubiquitous in indoor environments, was the predominant phthalate measured in house dust in the Canadian CHILD Cohort and was found to be associated with a large increased risk of childhood asthma. Objective. To inform interventions by identifying sources of DEHP in dust and assessing behaviors related to DEHP concentrations in house dust. Methods. DEHP levels were measured in 726 dust samples collected at ~3 months of age in CHILD as well as in ~50 homes at two time points (June and November) in the CHILD pilot study. DEHP metabolites were measured in urine for a subset of the ~3-month-old infants. Housing characteristics were assessed at the time of dust and urine collection. Numerous factors from these surveys were investigated as potential sources of DEHP using univariate analyses and multivariable regressions. Correlations between DEHP in dust and urinary metabolites and between repeat dust samples were examined to study the relationship between dust measurement and DEHP exposure. Results. Overall, DEHP dust concentrations were higher for lower-income families. Homes with vinyl flooring in the kitchen and bathroom showed higher levels of DEHP than those without vinyl flooring. The quantity of vinyl furniture and the presence of mold were associated with higher DEHP concentrations, while the use of mattress covers reduced concentration. No other significant associations were found. DEHP concentrations in dust were consistent over 6 months, although the correlation between dust and DEHP metabolites in urine was low. Conclusion. DEHP in house dust persisted over multiple months, contributed to infant internal exposure, and was associated with specific housing characteristics. These findings may inform the public on their choice of building materials and products, as well as future policies, aimed at reducing the health risk associated with exposures in the indoor environment especially for children.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".