Screening for Children’s Exposure to Environmental Tobacco Smoke in a Pediatric Primary Care Setting
Bibliographic record
Abstract
BACKGROUND: The American Academy of Pediatrics (Elk Grove Village, Ill) has recommended that pediatricians assess their patients' environmental tobacco smoke (ETS) exposure, but the specific questions most likely to identify children with high ETS exposure are not known. Cotinine is a nicotine metabolite, present in hair, that can be used to quantify months of ETS exposure. OBJECTIVE: To develop a brief screening tool that will accurately predict ETS exposure as defined by child hair cotinine level. METHODS: We compared the performance of a series of easily administered screening questions regarding home ETS exposure to child hair cotinine levels. Subjects were a convenience sample of healthy children aged 2 weeks to 3 years of both self-reported smokers and nonsmokers. RESULTS: Hair samples and questionnaire data were obtained from 291 children. Based on clinical applicability and statistical significance, 3 questions ("Does the mother smoke?", "Do others smoke?", and "Do others smoke inside?") were selected as a valid screening tool to determine children's ETS exposure risk. Maternal report of smoking outside only or smoking few cigarettes per day had no impact on child hair cotinine levels. CONCLUSIONS: It was possible to derive a simple, specific, and valid screening tool that can be used in pediatric offices to identify children at risk for ETS exposure. Further research is needed to test this tool prospectively.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".